Cloudweaver: Adaptive and Data-Driven Workload Manager for Generic Clouds
NASA Astrophysics Data System (ADS)
Li, Rui; Chen, Lei; Li, Wen-Syan
Cloud computing denotes the latest trend in application development for parallel computing on massive data volumes. It relies on clouds of servers to handle tasks that used to be managed by an individual server. With cloud computing, software vendors can provide business intelligence and data analytic services for internet scale data sets. Many open source projects, such as Hadoop, offer various software components that are essential for building a cloud infrastructure. Current Hadoop (and many others) requires users to configure cloud infrastructures via programs and APIs and such configuration is fixed during the runtime. In this chapter, we propose a workload manager (WLM), called CloudWeaver, which provides automated configuration of a cloud infrastructure for runtime execution. The workload management is data-driven and can adapt to dynamic nature of operator throughput during different execution phases. CloudWeaver works for a single job and a workload consisting of multiple jobs running concurrently, which aims at maximum throughput using a minimum set of processors.
James, Pam; Bebee, Patty; Beekman, Linda; Browning, David; Innes, Mathew; Kain, Jeannie; Royce-Westcott, Theresa; Waldinger, Marcy
2011-11-01
Quantifying data management and regulatory workload for clinical research is a difficult task that would benefit from a robust tool to assess and allocate effort. As in most clinical research environments, The University of Michigan Comprehensive Cancer Center (UMCCC) Clinical Trials Office (CTO) struggled to effectively allocate data management and regulatory time with frequently inaccurate estimates of how much time was required to complete the specific tasks performed by each role. In a dynamic clinical research environment in which volume and intensity of work ebbs and flows, determining requisite effort to meet study objectives was challenging. In addition, a data-driven understanding of how much staff time was required to complete a clinical trial was desired to ensure accurate trial budget development and effective cost recovery. Accordingly, the UMCCC CTO developed and implemented a Web-based effort-tracking application with the goal of determining the true costs of data management and regulatory staff effort in clinical trials. This tool was developed, implemented, and refined over a 3-year period. This article describes the process improvement and subsequent leveling of workload within data management and regulatory that enhanced the efficiency of UMCCC's clinical trials operation.
Flight Crew Task Management in Non-Normal Situations
NASA Technical Reports Server (NTRS)
Schutte, Paul C.; Trujillo, Anna C.
1996-01-01
Task management (TM) is always performed on the flight deck, although not always explicitly, consistently, or rigorously. Nowhere is TM as important as it is in dealing with non-normal situations. The objective of this study was to analyze pilot TM behavior for non-normal situations. Specifically, the study observed pilots performance in a full workload environment in order to discern their TM strategies. This study identified four different TM prioritization and allocation strategies: Aviate-Navigate-Communicate-Manage Systems; Perceived Severity; Procedure Based; and Event/Interrupt Driven. Subjects used these strategies to manage their personal workload and to schedule monitoring and assessment of the situation. The Perceived Severity strategy for personal workload management combined with the Aviate-Navigate-Communicate-Manage Systems strategy for monitoring and assessing appeared to be the most effective (fewest errors and fastest response times) in responding to the novel system failure used in this study.
Interactive Query Processing in Big Data Systems: A Cross Industry Study of MapReduce Workloads
2012-04-02
invite cluster operators and the broader data management commu- nity to share additional knowledge about their MapReduce workloads. 9. ACKNOWLEDGMENTS...against real- life production MapReduce workloads. Knowledge of such workloads is currently limited to a handful of technology companies [19, 8, 48, 41...database management insights would benefit from checking workload assumptions against empirical measurements. The broad spectrum of workloads analyzed allows
NASA Astrophysics Data System (ADS)
Klimentov, A.; De, K.; Jha, S.; Maeno, T.; Nilsson, P.; Oleynik, D.; Panitkin, S.; Wells, J.; Wenaus, T.
2016-10-01
The.LHC, operating at CERN, is leading Big Data driven scientific explorations. Experiments at the LHC explore the fundamental nature of matter and the basic forces that shape our universe. ATLAS, one of the largest collaborations ever assembled in the sciences, is at the forefront of research at the LHC. To address an unprecedented multi-petabyte data processing challenge, the ATLAS experiment is relying on a heterogeneous distributed computational infrastructure. The ATLAS experiment uses PanDA (Production and Data Analysis) Workload Management System for managing the workflow for all data processing on over 150 data centers. Through PanDA, ATLAS physicists see a single computing facility that enables rapid scientific breakthroughs for the experiment, even though the data centers are physically scattered all over the world. While PanDA currently uses more than 250,000 cores with a peak performance of 0.3 petaFLOPS, LHC data taking runs require more resources than grid can possibly provide. To alleviate these challenges, LHC experiments are engaged in an ambitious program to expand the current computing model to include additional resources such as the opportunistic use of supercomputers. We will describe a project aimed at integration of PanDA WMS with supercomputers in United States, in particular with Titan supercomputer at Oak Ridge Leadership Computing Facility. Current approach utilizes modified PanDA pilot framework for job submission to the supercomputers batch queues and local data management, with light-weight MPI wrappers to run single threaded workloads in parallel on LCFs multi-core worker nodes. This implementation was tested with a variety of Monte-Carlo workloads on several supercomputing platforms for ALICE and ATLAS experiments and it is in full pro duction for the ATLAS since September 2015. We will present our current accomplishments with running PanDA at supercomputers and demonstrate our ability to use PanDA as a portal independent of the computing facilities infrastructure for High Energy and Nuclear Physics as well as other data-intensive science applications, such as bioinformatics and astro-particle physics.
Integration of Panda Workload Management System with supercomputers
NASA Astrophysics Data System (ADS)
De, K.; Jha, S.; Klimentov, A.; Maeno, T.; Mashinistov, R.; Nilsson, P.; Novikov, A.; Oleynik, D.; Panitkin, S.; Poyda, A.; Read, K. F.; Ryabinkin, E.; Teslyuk, A.; Velikhov, V.; Wells, J. C.; Wenaus, T.
2016-09-01
The Large Hadron Collider (LHC), operating at the international CERN Laboratory in Geneva, Switzerland, is leading Big Data driven scientific explorations. Experiments at the LHC explore the fundamental nature of matter and the basic forces that shape our universe, and were recently credited for the discovery of a Higgs boson. ATLAS, one of the largest collaborations ever assembled in the sciences, is at the forefront of research at the LHC. To address an unprecedented multi-petabyte data processing challenge, the ATLAS experiment is relying on a heterogeneous distributed computational infrastructure. The ATLAS experiment uses PanDA (Production and Data Analysis) Workload Management System for managing the workflow for all data processing on over 140 data centers. Through PanDA, ATLAS physicists see a single computing facility that enables rapid scientific breakthroughs for the experiment, even though the data centers are physically scattered all over the world. While PanDA currently uses more than 250000 cores with a peak performance of 0.3+ petaFLOPS, next LHC data taking runs will require more resources than Grid computing can possibly provide. To alleviate these challenges, LHC experiments are engaged in an ambitious program to expand the current computing model to include additional resources such as the opportunistic use of supercomputers. We will describe a project aimed at integration of PanDA WMS with supercomputers in United States, Europe and Russia (in particular with Titan supercomputer at Oak Ridge Leadership Computing Facility (OLCF), Supercomputer at the National Research Center "Kurchatov Institute", IT4 in Ostrava, and others). The current approach utilizes a modified PanDA pilot framework for job submission to the supercomputers batch queues and local data management, with light-weight MPI wrappers to run singlethreaded workloads in parallel on Titan's multi-core worker nodes. This implementation was tested with a variety of Monte-Carlo workloads on several supercomputing platforms. We will present our current accomplishments in running PanDA WMS at supercomputers and demonstrate our ability to use PanDA as a portal independent of the computing facility's infrastructure for High Energy and Nuclear Physics, as well as other data-intensive science applications, such as bioinformatics and astro-particle physics.
Pilot workload, performance and aircraft control automation
NASA Technical Reports Server (NTRS)
Hart, S. G.; Sheridan, T. B.
1984-01-01
Conceptual and practical issues associated with the design, operation, and performance of advanced systems and the impact of such systems on the human operators are reviewed. The development of highly automated systems is driven by the availability of new technology and the requirement that operators safely and economically perform more and more activities in increasingly difficult and hostile environments. It is noted that the operators workload may become a major area of concern in future design considerations. Little research was done to determine how automation and workload relate to each other, although it is assumed that the abstract, supervisory, or management roles that are performed by operators of highly automated systems will impose increased mental workload. The relationship between performance and workload is discussed in relation to highly complex and automated environments.
PanDA for ATLAS distributed computing in the next decade
NASA Astrophysics Data System (ADS)
Barreiro Megino, F. H.; De, K.; Klimentov, A.; Maeno, T.; Nilsson, P.; Oleynik, D.; Padolski, S.; Panitkin, S.; Wenaus, T.; ATLAS Collaboration
2017-10-01
The Production and Distributed Analysis (PanDA) system has been developed to meet ATLAS production and analysis requirements for a data-driven workload management system capable of operating at the Large Hadron Collider (LHC) data processing scale. Heterogeneous resources used by the ATLAS experiment are distributed worldwide at hundreds of sites, thousands of physicists analyse the data remotely, the volume of processed data is beyond the exabyte scale, dozens of scientific applications are supported, while data processing requires more than a few billion hours of computing usage per year. PanDA performed very well over the last decade including the LHC Run 1 data taking period. However, it was decided to upgrade the whole system concurrently with the LHC’s first long shutdown in order to cope with rapidly changing computing infrastructure. After two years of reengineering efforts, PanDA has embedded capabilities for fully dynamic and flexible workload management. The static batch job paradigm was discarded in favor of a more automated and scalable model. Workloads are dynamically tailored for optimal usage of resources, with the brokerage taking network traffic and forecasts into account. Computing resources are partitioned based on dynamic knowledge of their status and characteristics. The pilot has been re-factored around a plugin structure for easier development and deployment. Bookkeeping is handled with both coarse and fine granularities for efficient utilization of pledged or opportunistic resources. An in-house security mechanism authenticates the pilot and data management services in off-grid environments such as volunteer computing and private local clusters. The PanDA monitor has been extensively optimized for performance and extended with analytics to provide aggregated summaries of the system as well as drill-down to operational details. There are as well many other challenges planned or recently implemented, and adoption by non-LHC experiments such as bioinformatics groups successfully running Paleomix (microbial genome and metagenomes) payload on supercomputers. In this paper we will focus on the new and planned features that are most important to the next decade of distributed computing workload management.
Paving the COWpath: data-driven design of pediatric order sets
Zhang, Yiye; Padman, Rema; Levin, James E
2014-01-01
Objective Evidence indicates that users incur significant physical and cognitive costs in the use of order sets, a core feature of computerized provider order entry systems. This paper develops data-driven approaches for automating the construction of order sets that match closely with user preferences and workflow while minimizing physical and cognitive workload. Materials and methods We developed and tested optimization-based models embedded with clustering techniques using physical and cognitive click cost criteria. By judiciously learning from users’ actual actions, our methods identify items for constituting order sets that are relevant according to historical ordering data and grouped on the basis of order similarity and ordering time. We evaluated performance of the methods using 47 099 orders from the year 2011 for asthma, appendectomy and pneumonia management in a pediatric inpatient setting. Results In comparison with existing order sets, those developed using the new approach significantly reduce the physical and cognitive workload associated with usage by 14–52%. This approach is also capable of accommodating variations in clinical conditions that affect order set usage and development. Discussion There is a critical need to investigate the cognitive complexity imposed on users by complex clinical information systems, and to design their features according to ‘human factors’ best practices. Optimizing order set generation using cognitive cost criteria introduces a new approach that can potentially improve ordering efficiency, reduce unintended variations in order placement, and enhance patient safety. Conclusions We demonstrate that data-driven methods offer a promising approach for designing order sets that are generalizable, data-driven, condition-based, and up to date with current best practices. PMID:24674844
Next Generation Workload Management System For Big Data on Heterogeneous Distributed Computing
NASA Astrophysics Data System (ADS)
Klimentov, A.; Buncic, P.; De, K.; Jha, S.; Maeno, T.; Mount, R.; Nilsson, P.; Oleynik, D.; Panitkin, S.; Petrosyan, A.; Porter, R. J.; Read, K. F.; Vaniachine, A.; Wells, J. C.; Wenaus, T.
2015-05-01
The Large Hadron Collider (LHC), operating at the international CERN Laboratory in Geneva, Switzerland, is leading Big Data driven scientific explorations. Experiments at the LHC explore the fundamental nature of matter and the basic forces that shape our universe, and were recently credited for the discovery of a Higgs boson. ATLAS and ALICE are the largest collaborations ever assembled in the sciences and are at the forefront of research at the LHC. To address an unprecedented multi-petabyte data processing challenge, both experiments rely on a heterogeneous distributed computational infrastructure. The ATLAS experiment uses PanDA (Production and Data Analysis) Workload Management System (WMS) for managing the workflow for all data processing on hundreds of data centers. Through PanDA, ATLAS physicists see a single computing facility that enables rapid scientific breakthroughs for the experiment, even though the data centers are physically scattered all over the world. The scale is demonstrated by the following numbers: PanDA manages O(102) sites, O(105) cores, O(108) jobs per year, O(103) users, and ATLAS data volume is O(1017) bytes. In 2013 we started an ambitious program to expand PanDA to all available computing resources, including opportunistic use of commercial and academic clouds and Leadership Computing Facilities (LCF). The project titled ‘Next Generation Workload Management and Analysis System for Big Data’ (BigPanDA) is funded by DOE ASCR and HEP. Extending PanDA to clouds and LCF presents new challenges in managing heterogeneity and supporting workflow. The BigPanDA project is underway to setup and tailor PanDA at the Oak Ridge Leadership Computing Facility (OLCF) and at the National Research Center "Kurchatov Institute" together with ALICE distributed computing and ORNL computing professionals. Our approach to integration of HPC platforms at the OLCF and elsewhere is to reuse, as much as possible, existing components of the PanDA system. We will present our current accomplishments with running the PanDA WMS at OLCF and other supercomputers and demonstrate our ability to use PanDA as a portal independent of the computing facilities infrastructure for High Energy and Nuclear Physics as well as other data-intensive science applications.
Creating pharmacy staffing-to-demand models: predictive tools used at two institutions.
Krogh, Paul; Ernster, Jason; Knoer, Scott
2012-09-15
The creation and implementation of data-driven staffing-to-demand models at two institutions are described. Predictive workload tools provide a guideline for pharmacy managers to adjust staffing needs based on hospital volume metrics. At Abbott Northwestern Hospital, management worked with the department's staff and labor management committee to clearly outline the productivity monitoring system and the process for reducing hours. Reference charts describing the process for reducing hours and a form to track the hours of involuntary reductions for each employee were created to further enhance communication, explain the rationale behind the new process, and promote transparency. The University of Minnesota Medical Center-Fairview, found a strong correlation between measured pharmacy workload and an adjusted census formula. If the daily census and admission report indicate that the adjusted census will provide enough workload for the fully staffed department, no further action is needed. If the census report indicates the adjusted census is less than the breakeven point, staff members are asked to leave work, either voluntarily or involuntarily. The opposite holds true for days when the adjusted census is higher than the breakeven point, at which time additional staff are required to synchronize worked hours with predicted workload. Successful staffing-to- demand models were implemented in two hospital pharmacies. Financial savings, as indicated by decreased labor costs secondary to reduction of staffed shifts, were approximately $42,000 and $45,500 over a three-month period for Abbott Northwestern Hospital and the University of Minnesota Medical Center-Fairview, respectively. Maintenance of 100% productively allowed the departments to continue to replace vacant positions and avoid permanent staff reductions.
INTEGRATION OF PANDA WORKLOAD MANAGEMENT SYSTEM WITH SUPERCOMPUTERS
DOE Office of Scientific and Technical Information (OSTI.GOV)
De, K; Jha, S; Maeno, T
Abstract The Large Hadron Collider (LHC), operating at the international CERN Laboratory in Geneva, Switzerland, is leading Big Data driven scientific explorations. Experiments at the LHC explore the funda- mental nature of matter and the basic forces that shape our universe, and were recently credited for the dis- covery of a Higgs boson. ATLAS, one of the largest collaborations ever assembled in the sciences, is at the forefront of research at the LHC. To address an unprecedented multi-petabyte data processing challenge, the ATLAS experiment is relying on a heterogeneous distributed computational infrastructure. The ATLAS experiment uses PanDA (Production and Datamore » Analysis) Workload Management System for managing the workflow for all data processing on over 140 data centers. Through PanDA, ATLAS physicists see a single computing facility that enables rapid scientific breakthroughs for the experiment, even though the data cen- ters are physically scattered all over the world. While PanDA currently uses more than 250000 cores with a peak performance of 0.3+ petaFLOPS, next LHC data taking runs will require more resources than Grid computing can possibly provide. To alleviate these challenges, LHC experiments are engaged in an ambitious program to expand the current computing model to include additional resources such as the opportunistic use of supercomputers. We will describe a project aimed at integration of PanDA WMS with supercomputers in United States, Europe and Russia (in particular with Titan supercomputer at Oak Ridge Leadership Com- puting Facility (OLCF), Supercomputer at the National Research Center Kurchatov Institute , IT4 in Ostrava, and others). The current approach utilizes a modified PanDA pilot framework for job submission to the supercomputers batch queues and local data management, with light-weight MPI wrappers to run single- threaded workloads in parallel on Titan s multi-core worker nodes. This implementation was tested with a variety of Monte-Carlo workloads on several supercomputing platforms. We will present our current accom- plishments in running PanDA WMS at supercomputers and demonstrate our ability to use PanDA as a portal independent of the computing facility s infrastructure for High Energy and Nuclear Physics, as well as other data-intensive science applications, such as bioinformatics and astro-particle physics.« less
NASA Astrophysics Data System (ADS)
Gleason, J. L.; Hillyer, T. N.; Wilkins, J.
2012-12-01
The CERES Science Team integrates data from 5 CERES instruments onboard the Terra, Aqua and NPP missions. The processing chain fuses CERES observations with data from 19 other unique sources. The addition of CERES Flight Model 5 (FM5) onboard NPP, coupled with ground processing system upgrades further emphasizes the need for an automated job-submission utility to manage multiple processing streams concurrently. The operator-driven, legacy-processing approach relied on manually staging data from magnetic tape to limited spinning disk attached to a shared memory architecture system. The migration of CERES production code to a distributed, cluster computing environment with approximately one petabyte of spinning disk containing all precursor input data products facilitates the development of a CERES-specific, automated workflow manager. In the cluster environment, I/O is the primary system resource in contention across jobs. Therefore, system load can be maximized with a throttling workload manager. This poster discusses a Java and Perl implementation of an automated job management tool tailored for CERES processing.
DOE Office of Scientific and Technical Information (OSTI.GOV)
De, K; Jha, S; Klimentov, A
2016-01-01
The Large Hadron Collider (LHC), operating at the international CERN Laboratory in Geneva, Switzerland, is leading Big Data driven scientific explorations. Experiments at the LHC explore the fundamental nature of matter and the basic forces that shape our universe, and were recently credited for the discovery of a Higgs boson. ATLAS, one of the largest collaborations ever assembled in the sciences, is at the forefront of research at the LHC. To address an unprecedented multi-petabyte data processing challenge, the ATLAS experiment is relying on a heterogeneous distributed computational infrastructure. The ATLAS experiment uses PanDA (Production and Data Analysis) Workload Managementmore » System for managing the workflow for all data processing on over 150 data centers. Through PanDA, ATLAS physicists see a single computing facility that enables rapid scientific breakthroughs for the experiment, even though the data centers are physically scattered all over the world. While PanDA currently uses more than 250,000 cores with a peak performance of 0.3 petaFLOPS, LHC data taking runs require more resources than Grid computing can possibly provide. To alleviate these challenges, LHC experiments are engaged in an ambitious program to expand the current computing model to include additional resources such as the opportunistic use of supercomputers. We will describe a project aimed at integration of PanDA WMS with supercomputers in United States, Europe and Russia (in particular with Titan supercomputer at Oak Ridge Leadership Computing Facility (OLCF), MIRA supercomputer at Argonne Leadership Computing Facilities (ALCF), Supercomputer at the National Research Center Kurchatov Institute , IT4 in Ostrava and others). Current approach utilizes modified PanDA pilot framework for job submission to the supercomputers batch queues and local data management, with light-weight MPI wrappers to run single threaded workloads in parallel on LCFs multi-core worker nodes. This implementation was tested with a variety of Monte-Carlo workloads on several supercomputing platforms for ALICE and ATLAS experiments and it is in full production for the ATLAS experiment since September 2015. We will present our current accomplishments with running PanDA WMS at supercomputers and demonstrate our ability to use PanDA as a portal independent of the computing facilities infrastructure for High Energy and Nuclear Physics as well as other data-intensive science applications, such as bioinformatics and astro-particle physics.« less
Chapman, Susan A; Mulvihill, Linda; Herrera, Carolina
2012-01-01
The Workload and Time Management Survey of Central Cancer Registries was conducted in 2011 to assess the amount of time spent on work activities usually performed by cancer registrars. A survey including 39 multi-item questions,together with a work activities data collection log, was sent by email to the central cancer registry (CCR) manager in each of the 50 states and the District of Columbia. Twenty-four central cancer registries (47%) responded to the survey.Results indicate that registries faced reductions in budgeted staffing from 2008-2009. The number of source records and total cases were important indicators of workload. Four core activities, including abstracting at the registry, visual editing,case consolidation, and resolving edit reports, accounted for about half of registry workload. We estimate an average of 12.4 full-time equivalents (FTEs) are required to perform all cancer registration activities tracked by the survey; however,estimates vary widely by registry size. These findings may be useful for registries as a benchmark for their own registry workload and time-management data and to develop staffing guidelines.
Chapman, Susan A.; Mulvihill, Linda; Herrera, Carolina
2015-01-01
The Workload and Time Management Survey of Central Cancer Registries was conducted in 2011 to assess the amount of time spent on work activities usually performed by cancer registrars. A survey including 39 multi-item questions, together with a work activities data collection log, was sent by email to the central cancer registry (CCR) manager in each of the 50 states and the District of Columbia. Twenty-four central cancer registries (47%) responded to the survey. Results indicate that registries faced reductions in budgeted staffing from 2008–2009. The number of source records and total cases were important indicators of workload. Four core activities, including abstracting at the registry, visual editing, case consolidation, and resolving edit reports, accounted for about half of registry workload. We estimate an average of 12.4 full-time equivalents (FTEs) are required to perform all cancer registration activities tracked by the survey; however, estimates vary widely by registry size. These findings may be useful for registries as a benchmark for their own registry workload and time-management data and to develop staffing guidelines. PMID:23493024
GP views on strategies to cope with increasing workload: a qualitative interview study.
Fisher, Rebecca Fr; Croxson, Caroline Hd; Ashdown, Helen F; Hobbs, Fd Richard
2017-02-01
The existence of a crisis in primary care in the UK is in little doubt. GP morale and job satisfaction are low, and workload is increasing. In this challenging context, finding ways for GPs to manage that workload is imperative. To explore what existing or potential strategies are described by GPs for dealing with their workload, and their views on the relative merits of each. Semi-structured, qualitative interviews with GPs working within NHS England. All GPs working within NHS England were eligible. Of those who responded to advertisements, a maximum-variation sample was selected and interviewed until data saturation was reached. Data were analysed thematically. Responses were received from 171 GPs, and, from these, 34 were included in the study. Four main themes emerged for workload management: patient-level, GP-level, practice-level, and systems-level strategies. A need for patients to take greater responsibility for self-management was clear, but many felt that GPs should not be responsible for this education. Increased delegation of tasks was felt to be key to managing workload, with innovative use of allied healthcare professionals and extended roles for non-clinical staff suggested. Telephone triage was a commonly used tool for managing workload, although not all participants found this helpful. This in-depth qualitative study demonstrates an encouraging resilience among GPs. They are proactively trying to manage workload, often using innovative local strategies. GPs do not feel that they can do this alone, however, and called repeatedly for increased recruitment and more investment in primary care. © British Journal of General Practice 2017.
ERIC Educational Resources Information Center
Torres, A. Chris
2016-01-01
An unsustainable workload is considered the primary cause of teacher turnover at Charter Management Organizations (CMOs), yet most reports provide anecdotal evidence to support this claim. This study uses 2010-2011 survey data from one large CMO and finds that teachers' perceptions of workload are significantly associated with decisions to leave…
Next Generation Workload Management System For Big Data on Heterogeneous Distributed Computing
Klimentov, A.; Buncic, P.; De, K.; ...
2015-05-22
The Large Hadron Collider (LHC), operating at the international CERN Laboratory in Geneva, Switzerland, is leading Big Data driven scientific explorations. Experiments at the LHC explore the fundamental nature of matter and the basic forces that shape our universe, and were recently credited for the discovery of a Higgs boson. ATLAS and ALICE are the largest collaborations ever assembled in the sciences and are at the forefront of research at the LHC. To address an unprecedented multi-petabyte data processing challenge, both experiments rely on a heterogeneous distributed computational infrastructure. The ATLAS experiment uses PanDA (Production and Data Analysis) Workload Managementmore » System (WMS) for managing the workflow for all data processing on hundreds of data centers. Through PanDA, ATLAS physicists see a single computing facility that enables rapid scientific breakthroughs for the experiment, even though the data centers are physically scattered all over the world. The scale is demonstrated by the following numbers: PanDA manages O(10 2) sites, O(10 5) cores, O(10 8) jobs per year, O(10 3) users, and ATLAS data volume is O(10 17) bytes. In 2013 we started an ambitious program to expand PanDA to all available computing resources, including opportunistic use of commercial and academic clouds and Leadership Computing Facilities (LCF). The project titled 'Next Generation Workload Management and Analysis System for Big Data' (BigPanDA) is funded by DOE ASCR and HEP. Extending PanDA to clouds and LCF presents new challenges in managing heterogeneity and supporting workflow. The BigPanDA project is underway to setup and tailor PanDA at the Oak Ridge Leadership Computing Facility (OLCF) and at the National Research Center "Kurchatov Institute" together with ALICE distributed computing and ORNL computing professionals. Our approach to integration of HPC platforms at the OLCF and elsewhere is to reuse, as much as possible, existing components of the PanDA system. Finally, we will present our current accomplishments with running the PanDA WMS at OLCF and other supercomputers and demonstrate our ability to use PanDA as a portal independent of the computing facilities infrastructure for High Energy and Nuclear Physics as well as other data-intensive science applications.« less
Next Generation Workload Management System For Big Data on Heterogeneous Distributed Computing
DOE Office of Scientific and Technical Information (OSTI.GOV)
Klimentov, A.; Buncic, P.; De, K.
The Large Hadron Collider (LHC), operating at the international CERN Laboratory in Geneva, Switzerland, is leading Big Data driven scientific explorations. Experiments at the LHC explore the fundamental nature of matter and the basic forces that shape our universe, and were recently credited for the discovery of a Higgs boson. ATLAS and ALICE are the largest collaborations ever assembled in the sciences and are at the forefront of research at the LHC. To address an unprecedented multi-petabyte data processing challenge, both experiments rely on a heterogeneous distributed computational infrastructure. The ATLAS experiment uses PanDA (Production and Data Analysis) Workload Managementmore » System (WMS) for managing the workflow for all data processing on hundreds of data centers. Through PanDA, ATLAS physicists see a single computing facility that enables rapid scientific breakthroughs for the experiment, even though the data centers are physically scattered all over the world. The scale is demonstrated by the following numbers: PanDA manages O(10 2) sites, O(10 5) cores, O(10 8) jobs per year, O(10 3) users, and ATLAS data volume is O(10 17) bytes. In 2013 we started an ambitious program to expand PanDA to all available computing resources, including opportunistic use of commercial and academic clouds and Leadership Computing Facilities (LCF). The project titled 'Next Generation Workload Management and Analysis System for Big Data' (BigPanDA) is funded by DOE ASCR and HEP. Extending PanDA to clouds and LCF presents new challenges in managing heterogeneity and supporting workflow. The BigPanDA project is underway to setup and tailor PanDA at the Oak Ridge Leadership Computing Facility (OLCF) and at the National Research Center "Kurchatov Institute" together with ALICE distributed computing and ORNL computing professionals. Our approach to integration of HPC platforms at the OLCF and elsewhere is to reuse, as much as possible, existing components of the PanDA system. Finally, we will present our current accomplishments with running the PanDA WMS at OLCF and other supercomputers and demonstrate our ability to use PanDA as a portal independent of the computing facilities infrastructure for High Energy and Nuclear Physics as well as other data-intensive science applications.« less
NURSE STAFFING AND RENAL ANAEMIA OUTCOMES IN HAEMODIALYSIS CARE.
Erlingmark, Julia; Hedström, Mariann; Lindberg, Magnus
2016-09-01
Current trends in renal anaemia management place greater emphasis, and thus increased workload, on the role of the nurse in haemodialysis settings. However, there is little evidence that demonstrates the relationship between nurse staffing and patient outcomes. To describe nurse staffing in haemodialysis settings, its relationship with target levels of renal anaemia management and to describe target level achievement for different ways of organising anaemia management. Cross-sectional audit. Forty (out of 78) haemodialysis centres in Sweden reported quality assurance data. The numbers of bedside registered nurses, licensed nurse assistants and patients undergoing haemodialysis during a predefined morning shift; type of anaemia management and achieved target levels of anaemia management. The mean patient:registered nurse ratio was 2.4 and the mean patient:nurse assistant ratio was 12.8. There were no significant relationships between registered nurse staffing and target level achievement. On average, 45.6% of the patients had haemoglobin within the target levels at centres applying nurse-driven anaemia management, compared with 47.3% at physician-driven centres. These cross-sectional data suggest that renal anaemia outcomes are unrelated to the patient:registered nurse ratio. There is, however, room for improvement in renal anaemia management in the units included in this study, particularly the achievement of target levels of haemoglobin and transferrin saturation. © 2016 European Dialysis and Transplant Nurses Association/European Renal Care Association.
Design Insights for MapReduce from Diverse Production Workloads
2012-01-25
different industries [5]. Consequently, there is a need to develop systematic knowledge of MapRe- duce behavior at both established users within technol...relevant to MapReduce-like systems that combine data movements and computation. 5.2 Task granularity Many MapReduce workload management mechanisms make...ex- ecutes the jobs given, versus what the jobs actually are. MapReduce workload managers currently optimize exe- cution scheduling and placement
C3PO - A Dynamic Data Placement Agent for ATLAS Distributed Data Management
NASA Astrophysics Data System (ADS)
Beermann, T.; Lassnig, M.; Barisits, M.; Serfon, C.; Garonne, V.; ATLAS Collaboration
2017-10-01
This paper introduces a new dynamic data placement agent for the ATLAS distributed data management system. This agent is designed to pre-place potentially popular data to make it more widely available. It therefore incorporates information from a variety of sources. Those include input datasets and sites workload information from the ATLAS workload management system, network metrics from different sources like FTS and PerfSonar, historical popularity data collected through a tracer mechanism and more. With this data it decides if, when and where to place new replicas that then can be used by the WMS to distribute the workload more evenly over available computing resources and then ultimately reduce job waiting times. This paper gives an overview of the architecture and the final implementation of this new agent. The paper also includes an evaluation of the placement algorithm by comparing the transfer times and the new replica usage.
CompatPM: enabling energy efficient multimedia workloads for distributed mobile platforms
NASA Astrophysics Data System (ADS)
Nathuji, Ripal; O'Hara, Keith J.; Schwan, Karsten; Balch, Tucker
2007-01-01
The computation and communication abilities of modern platforms are enabling increasingly capable cooperative distributed mobile systems. An example is distributed multimedia processing of sensor data in robots deployed for search and rescue, where a system manager can exploit the application's cooperative nature to optimize the distribution of roles and tasks in order to successfully accomplish the mission. Because of limited battery capacities, a critical task a manager must perform is online energy management. While support for power management has become common for the components that populate mobile platforms, what is lacking is integration and explicit coordination across the different management actions performed in a variety of system layers. This papers develops an integration approach for distributed multimedia applications, where a global manager specifies both a power operating point and a workload for a node to execute. Surprisingly, when jointly considering power and QoS, experimental evaluations show that using a simple deadline-driven approach to assigning frequencies can be non-optimal. These trends are further affected by certain characteristics of underlying power management mechanisms, which in our research, are identified as groupings that classify component power management as "compatible" (VFC) or "incompatible" (VFI) with voltage and frequency scaling. We build on these findings to develop CompatPM, a vertically integrated control strategy for power management in distributed mobile systems. Experimental evaluations of CompatPM indicate average energy improvements of 8% when platform resources are managed jointly rather than independently, demonstrating that previous attempts to maximize battery life by simply minimizing frequency are inappropriate from a platform-level perspective.
Arndt, Brian; Tuan, Wen-Jan; White, Jennifer; Schumacher, Jessica
2014-01-01
An understanding of primary care provider (PCP) workload is an important consideration in establishing optimal PCP panel size. However, no widely acceptable measure of PCP workload exists that incorporates the effort involved with both non-face-to-face patient care activities and face-to-face encounters. Accounting for this gap is critical given the increase in non-face-to-face PCP activities that has accompanied electronic health records (EHRs) (eg, electronic messaging). Our goal was to provide a comprehensive assessment of perceived PCP workload, accounting for aspects of both face-to-face and non-face-to-face encounters. Internal medicine, family medicine, and pediatric PCPs completed a self-administered survey about the perceived workload involved with face-to-face and non-face-to-face panel management activities as well as the perceived challenge associated with caring for patients with particular biomedical, demographic, and psychosocial characteristics (n = 185). Survey results were combined with EHR data at the individual patient and PCP service levels to assess PCP panel workload, accounting for face-to-face and non-face-to-face utilization. Of the multiple face-to-face and non-face-to-face activities associated with routine primary care, PCPs considered hospital admissions, obstetric care, hospital discharges, and new patient preventive health visits to be greater workload than non-face-to-face activities such as telephone calls, electronic communication, generating letters, and medication refills. Total workload within PCP panels at the individual patient level varied by overall health status, and the total workload of non-face-to-face panel management activities associated with routine primary care was greater than the total workload associated with face-to-face encounters regardless of health status. We used PCP survey results coupled with EHR data to assess PCP workload associated with both face-to-face as well as non-face-to-face panel management activities in primary care. The non-face-to-face workload was an important contributor to overall PCP workload for all patients regardless of overall health status. This is an important consideration for PCP workload assessment given the changing nature of primary care that requires more non-face-to-face effort, resulting in an overall increase in PCP workload. © Copyright 2014 by the American Board of Family Medicine.
Physiological correlates of mental workload
NASA Technical Reports Server (NTRS)
Zacharias, G. L.
1980-01-01
A literature review was conducted to assess the basis of and techniques for physiological assessment of mental workload. The study findings reviewed had shortcomings involving one or more of the following basic problems: (1) physiologic arousal can be easily driven by nonworkload factors, confounding any proposed metric; (2) the profound absence of underlying physiologic models has promulgated a multiplicity of seemingly arbitrary signal processing techniques; (3) the unspecified multidimensional nature of physiological "state" has given rise to a broad spectrum of competing noncommensurate metrics; and (4) the lack of an adequate definition of workload compels physiologic correlations to suffer either from the vagueness of implicit workload measures or from the variance of explicit subjective assessments. Using specific studies as examples, two basic signal processing/data reduction techniques in current use, time and ensemble averaging are discussed.
Algorithmic Management for Improving Collective Productivity in Crowdsourcing.
Yu, Han; Miao, Chunyan; Chen, Yiqiang; Fauvel, Simon; Li, Xiaoming; Lesser, Victor R
2017-10-02
Crowdsourcing systems are complex not only because of the huge number of potential strategies for assigning workers to tasks, but also due to the dynamic characteristics associated with workers. Maximizing social welfare in such situations is known to be NP-hard. To address these fundamental challenges, we propose the surprise-minimization-value-maximization (SMVM) approach. By analysing typical crowdsourcing system dynamics, we established a simple and novel worker desirability index (WDI) jointly considering the effect of each worker's reputation, workload and motivation to work on collective productivity. Through evaluating workers' WDI values, SMVM influences individual workers in real time about courses of action which can benefit the workers and lead to high collective productivity. Solutions can be produced in polynomial time and are proven to be asymptotically bounded by a theoretical optimal solution. High resolution simulations based on a real-world dataset demonstrate that SMVM significantly outperforms state-of-the-art approaches. A large-scale 3-year empirical study involving 1,144 participants in over 9,000 sessions shows that SMVM outperforms human task delegation decisions over 80% of the time under common workload conditions. The approach and results can help engineer highly scalable data-driven algorithmic management decision support systems for crowdsourcing.
Adopting a corporate perspective on databases. Improving support for research and decision making.
Meistrell, M; Schlehuber, C
1996-03-01
The Veterans Health Administration (VHA) is at the forefront of designing and managing health care information systems that accommodate the needs of clinicians, researchers, and administrators at all levels. Rather than using one single-site, centralized corporate database VHA has constructed several large databases with different configurations to meet the needs of users with different perspectives. The largest VHA database is the Decentralized Hospital Computer Program (DHCP), a multisite, distributed data system that uses decoupled hospital databases. The centralization of DHCP policy has promoted data coherence, whereas the decentralization of DHCP management has permitted system development to be done with maximum relevance to the users'local practices. A more recently developed VHA data system, the Event Driven Reporting system (EDR), uses multiple, highly coupled databases to provide workload data at facility, regional, and national levels. The EDR automatically posts a subset of DHCP data to local and national VHA management. The development of the EDR illustrates how adoption of a corporate perspective can offer significant database improvements at reasonable cost and with modest impact on the legacy system.
CERN data services for LHC computing
NASA Astrophysics Data System (ADS)
Espinal, X.; Bocchi, E.; Chan, B.; Fiorot, A.; Iven, J.; Lo Presti, G.; Lopez, J.; Gonzalez, H.; Lamanna, M.; Mascetti, L.; Moscicki, J.; Pace, A.; Peters, A.; Ponce, S.; Rousseau, H.; van der Ster, D.
2017-10-01
Dependability, resilience, adaptability and efficiency. Growing requirements require tailoring storage services and novel solutions. Unprecedented volumes of data coming from the broad number of experiments at CERN need to be quickly available in a highly scalable way for large-scale processing and data distribution while in parallel they are routed to tape for long-term archival. These activities are critical for the success of HEP experiments. Nowadays we operate at high incoming throughput (14GB/s during 2015 LHC Pb-Pb run and 11PB in July 2016) and with concurrent complex production work-loads. In parallel our systems provide the platform for the continuous user and experiment driven work-loads for large-scale data analysis, including end-user access and sharing. The storage services at CERN cover the needs of our community: EOS and CASTOR as a large-scale storage; CERNBox for end-user access and sharing; Ceph as data back-end for the CERN OpenStack infrastructure, NFS services and S3 functionality; AFS for legacy distributed-file-system services. In this paper we will summarise the experience in supporting LHC experiments and the transition of our infrastructure from static monolithic systems to flexible components providing a more coherent environment with pluggable protocols, tuneable QoS, sharing capabilities and fine grained ACLs management while continuing to guarantee dependable and robust services.
NASA Astrophysics Data System (ADS)
Altomare, Albino; Cesario, Eugenio; Mastroianni, Carlo
2016-10-01
The opportunity of using Cloud resources on a pay-as-you-go basis and the availability of powerful data centers and high bandwidth connections are speeding up the success and popularity of Cloud systems, which is making on-demand computing a common practice for enterprises and scientific communities. The reasons for this success include natural business distribution, the need for high availability and disaster tolerance, the sheer size of their computational infrastructure, and/or the desire to provide uniform access times to the infrastructure from widely distributed client sites. Nevertheless, the expansion of large data centers is resulting in a huge rise of electrical power consumed by hardware facilities and cooling systems. The geographical distribution of data centers is becoming an opportunity: the variability of electricity prices, environmental conditions and client requests, both from site to site and with time, makes it possible to intelligently and dynamically (re)distribute the computational workload and achieve as diverse business goals as: the reduction of costs, energy consumption and carbon emissions, the satisfaction of performance constraints, the adherence to Service Level Agreement established with users, etc. This paper proposes an approach that helps to achieve the business goals established by the data center administrators. The workload distribution is driven by a fitness function, evaluated for each data center, which weighs some key parameters related to business objectives, among which, the price of electricity, the carbon emission rate, the balance of load among the data centers etc. For example, the energy costs can be reduced by using a "follow the moon" approach, e.g. by migrating the workload to data centers where the price of electricity is lower at that time. Our approach uses data about historical usage of the data centers and data about environmental conditions to predict, with the help of regressive models, the values of the parameters of the fitness function, and then to appropriately tune the weights assigned to the parameters in accordance to the business goals. Preliminary experimental results, presented in this paper, show encouraging benefits.
MEASURING WORKLOAD OF ICU NURSES WITH A QUESTIONNAIRE SURVEY: THE NASA TASK LOAD INDEX (TLX).
Hoonakker, Peter; Carayon, Pascale; Gurses, Ayse; Brown, Roger; McGuire, Kerry; Khunlertkit, Adjhaporn; Walker, James M
2011-01-01
High workload of nurses in Intensive Care Units (ICUs) has been identified as a major patient safety and worker stress problem. However, relative little attention has been dedicated to the measurement of workload in healthcare. The objectives of this study are to describe and examine several methods to measure workload of ICU nurses. We then focus on the measurement of ICU nurses' workload using a subjective rating instrument: the NASA TLX.We conducted secondary data analysis on data from two, multi-side, cross-sectional questionnaire studies to examine several instruments to measure ICU nurses' workload. The combined database contains the data from 757 ICU nurses in 8 hospitals and 21 ICUs.Results show that the different methods to measure workload of ICU nurses, such as patient-based and operator-based workload, are only moderately correlated, or not correlated at all. Results show further that among the operator-based instruments, the NASA TLX is the most reliable and valid questionnaire to measure workload and that NASA TLX can be used in a healthcare setting. Managers of hospitals and ICUs can benefit from the results of this research as it provides benchmark data on workload experienced by nurses in a variety of ICUs.
MEASURING WORKLOAD OF ICU NURSES WITH A QUESTIONNAIRE SURVEY: THE NASA TASK LOAD INDEX (TLX)
Hoonakker, Peter; Carayon, Pascale; Gurses, Ayse; Brown, Roger; McGuire, Kerry; Khunlertkit, Adjhaporn; Walker, James M.
2012-01-01
High workload of nurses in Intensive Care Units (ICUs) has been identified as a major patient safety and worker stress problem. However, relative little attention has been dedicated to the measurement of workload in healthcare. The objectives of this study are to describe and examine several methods to measure workload of ICU nurses. We then focus on the measurement of ICU nurses’ workload using a subjective rating instrument: the NASA TLX. We conducted secondary data analysis on data from two, multi-side, cross-sectional questionnaire studies to examine several instruments to measure ICU nurses’ workload. The combined database contains the data from 757 ICU nurses in 8 hospitals and 21 ICUs. Results show that the different methods to measure workload of ICU nurses, such as patient-based and operator-based workload, are only moderately correlated, or not correlated at all. Results show further that among the operator-based instruments, the NASA TLX is the most reliable and valid questionnaire to measure workload and that NASA TLX can be used in a healthcare setting. Managers of hospitals and ICUs can benefit from the results of this research as it provides benchmark data on workload experienced by nurses in a variety of ICUs. PMID:22773941
Role of Academic Managers in Workload and Performance Management of Academic Staff: A Case Study
ERIC Educational Resources Information Center
Graham, Andrew T.
2016-01-01
This small-scale case study focused on academic managers to explore the ways in which they control the workload of academic staff and the extent to which they use the workload model in performance management of academic staff. The links that exist between the workload and performance management were explored to confirm or refute the conceptual…
Good, Marjorie J; Hurley, Patricia; Woo, Kaitlin M; Szczepanek, Connie; Stewart, Teresa; Robert, Nicholas; Lyss, Alan; Gönen, Mithat; Lilenbaum, Rogerio
2016-05-01
Clinical research program managers are regularly faced with the quandary of determining how much of a workload research staff members can manage while they balance clinical practice and still achieve clinical trial accrual goals, maintain data quality and protocol compliance, and stay within budget. A tool was developed to measure clinical trial-associated workload, to apply objective metrics toward documentation of work, and to provide clearer insight to better meet clinical research program challenges and aid in balancing staff workloads. A project was conducted to assess the feasibility and utility of using this tool in diverse research settings. Community-based research programs were recruited to collect and enter clinical trial-associated monthly workload data into a web-based tool for 6 consecutive months. Descriptive statistics were computed for self-reported program characteristics and workload data, including staff acuity scores and number of patient encounters. Fifty-one research programs that represented 30 states participated. Median staff acuity scores were highest for staff with patients enrolled in studies and receiving treatment, relative to staff with patients in follow-up status. Treatment trials typically resulted in higher median staff acuity, relative to cancer control, observational/registry, and prevention trials. Industry trials exhibited higher median staff acuity scores than trials sponsored by the National Institutes of Health/National Cancer Institute, academic institutions, or others. The results from this project demonstrate that trial-specific acuity measurement is a better measure of workload than simply counting the number of patients. The tool was shown to be feasible and useable in diverse community-based research settings. Copyright © 2016 by American Society of Clinical Oncology.
Hurley, Patricia; Woo, Kaitlin M.; Szczepanek, Connie; Stewart, Teresa; Robert, Nicholas; Lyss, Alan; Gönen, Mithat; Lilenbaum, Rogerio
2016-01-01
Purpose: Clinical research program managers are regularly faced with the quandary of determining how much of a workload research staff members can manage while they balance clinical practice and still achieve clinical trial accrual goals, maintain data quality and protocol compliance, and stay within budget. A tool was developed to measure clinical trial–associated workload, to apply objective metrics toward documentation of work, and to provide clearer insight to better meet clinical research program challenges and aid in balancing staff workloads. A project was conducted to assess the feasibility and utility of using this tool in diverse research settings. Methods: Community-based research programs were recruited to collect and enter clinical trial–associated monthly workload data into a web-based tool for 6 consecutive months. Descriptive statistics were computed for self-reported program characteristics and workload data, including staff acuity scores and number of patient encounters. Results: Fifty-one research programs that represented 30 states participated. Median staff acuity scores were highest for staff with patients enrolled in studies and receiving treatment, relative to staff with patients in follow-up status. Treatment trials typically resulted in higher median staff acuity, relative to cancer control, observational/registry, and prevention trials. Industry trials exhibited higher median staff acuity scores than trials sponsored by the National Institutes of Health/National Cancer Institute, academic institutions, or others. Conclusion: The results from this project demonstrate that trial-specific acuity measurement is a better measure of workload than simply counting the number of patients. The tool was shown to be feasible and useable in diverse community-based research settings. PMID:27006354
Evolution of the ATLAS PanDA workload management system for exascale computational science
NASA Astrophysics Data System (ADS)
Maeno, T.; De, K.; Klimentov, A.; Nilsson, P.; Oleynik, D.; Panitkin, S.; Petrosyan, A.; Schovancova, J.; Vaniachine, A.; Wenaus, T.; Yu, D.; Atlas Collaboration
2014-06-01
An important foundation underlying the impressive success of data processing and analysis in the ATLAS experiment [1] at the LHC [2] is the Production and Distributed Analysis (PanDA) workload management system [3]. PanDA was designed specifically for ATLAS and proved to be highly successful in meeting all the distributed computing needs of the experiment. However, the core design of PanDA is not experiment specific. The PanDA workload management system is capable of meeting the needs of other data intensive scientific applications. Alpha-Magnetic Spectrometer [4], an astro-particle experiment on the International Space Station, and the Compact Muon Solenoid [5], an LHC experiment, have successfully evaluated PanDA and are pursuing its adoption. In this paper, a description of the new program of work to develop a generic version of PanDA will be given, as well as the progress in extending PanDA's capabilities to support supercomputers and clouds and to leverage intelligent networking. PanDA has demonstrated at a very large scale the value of automated dynamic brokering of diverse workloads across distributed computing resources. The next generation of PanDA will allow other data-intensive sciences and a wider exascale community employing a variety of computing platforms to benefit from ATLAS' experience and proven tools.
van den Hombergh, Pieter; Künzi, Beat; Elwyn, Glyn; van Doremalen, Jan; Akkermans, Reinier; Grol, Richard; Wensing, Michel
2009-01-01
Background The impact of high physician workload and job stress on quality and outcomes of healthcare delivery is not clear. Our study explored whether high workload and job stress were associated with lower performance in general practices in the Netherlands. Methods Secondary analysis of data from 239 general practices, collected in practice visits between 2003 to 2006 in the Netherlands using a comprehensive set of measures of practice management. Data were collected by a practice visitor, a trained non-physician observer using patients questionnaires, doctors and staff. For this study we selected five measures of practice performance as outcomes and six measures of GP workload and job stress as predictors. A total of 79 indicators were used out of the 303 available indicators. Random coefficient regression models were applied to examine associations. Results and discussion Workload and job stress are associated with practice performance. Workload: Working more hours as a GP was associated with more positive patient experiences of accessibility and availability (b = 0.16). After list size adjustment, practices with more GP-time per patient scored higher on GP care (b = 0.45). When GPs provided more than 20 hours per week per 1000 patients, patients scored over 80% on the Europep questionnaire for quality of GP care. Job stress: High GP job stress was associated with lower accessibility and availability (b = 0.21) and insufficient practice management (b = 0.25). Higher GP commitment and more satisfaction with the job was associated with more prevention and disease management (b = 0.35). Conclusion Providing more time in the practice, and more time per patient and experiencing less job stress are all associated with perceptions by patients of better care and better practice performance. Workload and job stress should be assessed by using list size adjusted data in order to realise better quality of care. Organisational development using this kind of data feedback could benefit both patients and GP. PMID:19604386
Crew workload-management strategies - A critical factor in system performance
NASA Technical Reports Server (NTRS)
Hart, Sandra G.
1989-01-01
This paper reviews the philosophy and goals of the NASA/USAF Strategic Behavior/Workload Management Program. The philosophical foundation of the program is based on the assumption that an improved understanding of pilot strategies will clarify the complex and inconsistent relationships observed among objective task demands and measures of system performance and pilot workload. The goals are to: (1) develop operationally relevant figures of merit for performance, (2) quantify the effects of strategic behaviors on system performance and pilot workload, (3) identify evaluation criteria for workload measures, and (4) develop methods of improving pilots' abilities to manage workload extremes.
2010-01-01
Background Management decisions regarding quality and quantity of nurse staffing have important consequences for hospital budgets. Furthermore, these management decisions must address the nursing care requirements of the particular patients within an organizational unit. In order to determine optimal nurse staffing needs, the extent of nursing workload must first be known. Nursing workload is largely a function of the composite of the patients' individual health status, particularly with respect to functioning status, individual need for nursing care, and severity of symptoms. The International Classification of Functioning, Disability and Health (ICF) and the derived subsets, the so-called ICF Core Sets, are a standardized approach to describe patients' functioning status. The objectives of this study were to (1) examine the association between patients' functioning, as encoded by categories of the Acute ICF Core Sets, and nursing workload in patients in the acute care situation, (2) compare the variance in nursing workload explained by the ICF Core Set categories and with the Barthel Index, and (3) validate the Acute ICF Core Sets by their ability to predict nursing workload. Methods Patients' functioning at admission was assessed using the respective Acute ICF Core Set and the Barthel Index, whereas nursing workload data was collected using an established instrument. Associations between dependent and independent variables were modelled using linear regression. Variable selection was carried out using penalized regression. Results In patients with neurological and cardiopulmonary conditions, selected ICF categories and the Barthel Index Score explained the same variance in nursing workload (44% in neurological conditions, 35% in cardiopulmonary conditions), whereas ICF was slightly superior to Barthel Index Score for musculoskeletal conditions (20% versus 16%). Conclusions A substantial fraction of the variance in nursing workload in patients with rehabilitation needs in the acute hospital could be predicted by selected categories of the Acute ICF Core Sets, or by the Barthel Index score. Incorporating ICF Core Set-based data in nursing management decisions, particularly staffing decisions, may be beneficial. PMID:21034438
Dynamic file-access characteristics of a production parallel scientific workload
NASA Technical Reports Server (NTRS)
Kotz, David; Nieuwejaar, Nils
1994-01-01
Multiprocessors have permitted astounding increases in computational performance, but many cannot meet the intense I/O requirements of some scientific applications. An important component of any solution to this I/O bottleneck is a parallel file system that can provide high-bandwidth access to tremendous amounts of data in parallel to hundreds or thousands of processors. Most successful systems are based on a solid understanding of the expected workload, but thus far there have been no comprehensive workload characterizations of multiprocessor file systems. This paper presents the results of a three week tracing study in which all file-related activity on a massively parallel computer was recorded. Our instrumentation differs from previous efforts in that it collects information about every I/O request and about the mix of jobs running in a production environment. We also present the results of a trace-driven caching simulation and recommendations for designers of multiprocessor file systems.
On the Modeling and Management of Cloud Data Analytics
NASA Astrophysics Data System (ADS)
Castillo, Claris; Tantawi, Asser; Steinder, Malgorzata; Pacifici, Giovanni
A new era is dawning where vast amount of data is subjected to intensive analysis in a cloud computing environment. Over the years, data about a myriad of things, ranging from user clicks to galaxies, have been accumulated, and continue to be collected, on storage media. The increasing availability of such data, along with the abundant supply of compute power and the urge to create useful knowledge, gave rise to a new data analytics paradigm in which data is subjected to intensive analysis, and additional data is created in the process. Meanwhile, a new cloud computing environment has emerged where seemingly limitless compute and storage resources are being provided to host computation and data for multiple users through virtualization technologies. Such a cloud environment is becoming the home for data analytics. Consequently, providing good performance at run-time to data analytics workload is an important issue for cloud management. In this paper, we provide an overview of the data analytics and cloud environment landscapes, and investigate the performance management issues related to running data analytics in the cloud. In particular, we focus on topics such as workload characterization, profiling analytics applications and their pattern of data usage, cloud resource allocation, placement of computation and data and their dynamic migration in the cloud, and performance prediction. In solving such management problems one relies on various run-time analytic models. We discuss approaches for modeling and optimizing the dynamic data analytics workload in the cloud environment. All along, we use the Map-Reduce paradigm as an illustration of data analytics.
Distributed information system (water fact sheet)
Harbaugh, A.W.
1986-01-01
During 1982-85, the Water Resources Division (WRD) of the U.S. Geological Survey (USGS) installed over 70 large minicomputers in offices across the country to support its mission in the science of hydrology. These computers are connected by a communications network that allows information to be shared among computers in each office. The computers and network together are known as the Distributed Information System (DIS). The computers are accessed through the use of more than 1500 terminals and minicomputers. The WRD has three fundamentally different needs for computing: data management; hydrologic analysis; and administration. Data management accounts for 50% of the computational workload of WRD because hydrologic data are collected in all 50 states, Puerto Rico, and the Pacific trust territories. Hydrologic analysis consists of 40% of the computational workload of WRD. Cost accounting, payroll, personnel records, and planning for WRD programs occupies an estimated 10% of the computer workload. The DIS communications network is shown on a map. (Lantz-PTT)
Operator strategies under varying conditions of workload
NASA Technical Reports Server (NTRS)
Arnegard, Ruth J.
1991-01-01
An attempt was made to operationally define and measure strategic behavior in a complex multiple task environment. The Multi-Attribute Task battery was developed to simulate various aspects of flight and consisted of an auditory communication task, monitoring tasks, a tracking tasks, a resource management task which allowed a wide range of responding patterns, and a scheduling window which allowed operators to predict changes in workload. This battery was validated for its sensitivity to strategic behavior, and baseline measures for each individual task were collected. Twenty-four undergraduate and graduate students then performed the battery for four 64 minute sessions which took place over a period of 2 days. Each subject performed the task battery under four levels of workload, which were presented for equal lengths of time during all four sessions. Results indicated that in general, performance improves as a function of experience with the battery, but that performance decreased as workload level increased. The data also showed that subjects developed strategies for responding to the resource management task which allowed them to manage the high workload levels more efficiently. This particular strategy developed over time but was also associated with errors of complacency. These results are presented along with implications for the aviation field and areas of future research.
Creation of a Book Order Management System Using a Microcomputer and a DBMS.
ERIC Educational Resources Information Center
Neill, Charlotte; And Others
1985-01-01
Describes management decisions and resultant technology-based system that allowed a medical library to meet increasing workloads without accompanying increases in resources available. Discussion covers system analysis; capabilities of book-order management system, "BOOKDIRT;" software and training; hardware; data files; data entry;…
Postoperative electrolyte management: Current practice patterns of surgeons and residents.
Angarita, Fernando A; Dueck, Andrew D; Azouz, Solomon M
2015-07-01
Managing postoperative electrolyte imbalances often is driven by dogma. To identify areas of improvement, we assessed the practice pattern of postoperative electrolyte management among surgeons and residents. An online survey was distributed among attending surgeons and surgical residents at the University of Toronto. The survey was designed according to a systematic approach for formulating self-administered questionnaires. Questions addressed workload, decision making in hypothetical clinical scenarios, and improvement strategies. Of 232 surveys distributed, 156 were completed (response rate: 67%). The majority stated that junior residents were responsible for managing electrolytes at 13 University of Toronto-affiliated hospitals. Supervision was carried out predominately by senior residents (75%). Thirteen percent reported management went unsupervised. Approximately 59% of residents were unaware how often attending surgeons assessed patients' electrolytes. Despite the majority of residents (53.7%) reporting they were never given tools or trained in electrolyte replacement, they considered themselves moderately or extremely confident. The management of hypothetical clinical scenarios differed between residents and attending surgeons. The majority (50.5%) of respondents considered that an electrolyte replacement protocol is the most appropriate improvement strategy. Electrolyte replacement represents an important component of surgeons' workload. Despite reporting that formal training in electrolyte management is limited, residents consider themselves competent; however, their practice is highly variable and often differs from pharmacologic-directed recommendations. Optimizing how postoperative electrolytes are managed in surgical wards requires building a framework that improves knowledge, training, and limits unnecessary interventions. Copyright © 2015 Elsevier Inc. All rights reserved.
Combining Quick-Turnaround and Batch Workloads at Scale
NASA Technical Reports Server (NTRS)
Matthews, Gregory A.
2012-01-01
NAS uses PBS Professional to schedule and manage the workload on Pleiades, an 11,000+ node 1B cluster. At this scale the user experience for quick-turnaround jobs can degrade, which led NAS initially to set up two separate PBS servers, each dedicated to a particular workload. Recently we have employed PBS hooks and scheduler modifications to merge these workloads together under one PBS server, delivering sub-1-minute start times for the quick-turnaround workload, and enabling dynamic management of the resources set aside for that workload.
A data-driven approach to modeling physical fatigue in the workplace using wearable sensors.
Sedighi Maman, Zahra; Alamdar Yazdi, Mohammad Ali; Cavuoto, Lora A; Megahed, Fadel M
2017-11-01
Wearable sensors are currently being used to manage fatigue in professional athletics, transportation and mining industries. In manufacturing, physical fatigue is a challenging ergonomic/safety "issue" since it lowers productivity and increases the incidence of accidents. Therefore, physical fatigue must be managed. There are two main goals for this study. First, we examine the use of wearable sensors to detect physical fatigue occurrence in simulated manufacturing tasks. The second goal is to estimate the physical fatigue level over time. In order to achieve these goals, sensory data were recorded for eight healthy participants. Penalized logistic and multiple linear regression models were used for physical fatigue detection and level estimation, respectively. Important features from the five sensors locations were selected using Least Absolute Shrinkage and Selection Operator (LASSO), a popular variable selection methodology. The results show that the LASSO model performed well for both physical fatigue detection and modeling. The modeling approach is not participant and/or workload regime specific and thus can be adopted for other applications. Copyright © 2017 Elsevier Ltd. All rights reserved.
Distributed data analysis in ATLAS
NASA Astrophysics Data System (ADS)
Nilsson, Paul; Atlas Collaboration
2012-12-01
Data analysis using grid resources is one of the fundamental challenges to be addressed before the start of LHC data taking. The ATLAS detector will produce petabytes of data per year, and roughly one thousand users will need to run physics analyses on this data. Appropriate user interfaces and helper applications have been made available to ensure that the grid resources can be used without requiring expertise in grid technology. These tools enlarge the number of grid users from a few production administrators to potentially all participating physicists. ATLAS makes use of three grid infrastructures for the distributed analysis: the EGEE sites, the Open Science Grid, and Nordu Grid. These grids are managed by the gLite workload management system, the PanDA workload management system, and ARC middleware; many sites can be accessed via both the gLite WMS and PanDA. Users can choose between two front-end tools to access the distributed resources. Ganga is a tool co-developed with LHCb to provide a common interface to the multitude of execution backends (local, batch, and grid). The PanDA workload management system provides a set of utilities called PanDA Client; with these tools users can easily submit Athena analysis jobs to the PanDA-managed resources. Distributed data is managed by Don Quixote 2, a system developed by ATLAS; DQ2 is used to replicate datasets according to the data distribution policies and maintains a central catalog of file locations. The operation of the grid resources is continually monitored by the Ganga Robot functional testing system, and infrequent site stress tests are performed using the Hammer Cloud system. In addition, the DAST shift team is a group of power users who take shifts to provide distributed analysis user support; this team has effectively relieved the burden of support from the developers.
The workload analysis in welding workshop
NASA Astrophysics Data System (ADS)
Wahyuni, D.; Budiman, I.; Tryana Sembiring, M.; Sitorus, E.; Nasution, H.
2018-03-01
This research was conducted in welding workshop which produces doors, fences, canopies, etc., according to customer’s order. The symptoms of excessive workload were seen from the fact of employees complaint, requisition for additional employees, the lateness of completion time (there were 11 times of lateness from 28 orders, and 7 customers gave complaints). The top management of the workshop assumes that employees’ workload was still a tolerable limit. Therefore, it was required workload analysis to determine the number of employees required. The Workload was measured by using a physiological method and workload analysis. The result of this research can be utilized by the workshop for a better workload management.
Measuring nursing essential contributions to quality patient care outcomes.
Wolgast, Kelly A; Taylor, Katherine; Garcia, Dawn; Watkins, Miko
2011-01-01
Workload Management System for Nursing (WMSN) is a core Army Medical Department business system that has provided near real-time, comprehensive nursing workload and manpower data for decision making at all levels for over 25 years. The Army Manpower Requirements and Documentation Agency populates data from WMSN into the Manpower Staffing Standards System (Inpatient module within Automated Staffing Assessment Model). The current system, Workload Management System for Nursing Internet (WMSNi), is an interim solution that requires additional functionalities for modernization and integration at the enterprise level. The expanding missions and approved requirements for WMSNi support strategic initiatives on the Army Medical Command balanced scorecard and require continued sustainment for multiple personnel and manpower business processes for both inpatient and outpatient nursing care. This system is currently being leveraged by the TRICARE Management Activity as an interim multiservice solution, and is being used at 24 Army medical treatment facilities. The evidenced-based information provided to Army decision makers through the methods used in the WMSNi will be essential across the Army Medical Command throughout the system's life cycle.
Analysis of DISMS (Defense Integrated Subsistence Management System) Increment 4
1988-12-01
response data entry; and rationale supporting an on-line system based on real time management information needs. Keywords: Automated systems; Subsistence; Workload capacity; Bid response; Contract administration; Computer systems.
Cost-aware request routing in multi-geography cloud data centres using software-defined networking
NASA Astrophysics Data System (ADS)
Yuan, Haitao; Bi, Jing; Li, Bo Hu; Tan, Wei
2017-03-01
Current geographically distributed cloud data centres (CDCs) require gigantic energy and bandwidth costs to provide multiple cloud applications to users around the world. Previous studies only focus on energy cost minimisation in distributed CDCs. However, a CDC provider needs to deliver gigantic data between users and distributed CDCs through internet service providers (ISPs). Geographical diversity of bandwidth and energy costs brings a highly challenging problem of how to minimise the total cost of a CDC provider. With the recently emerging software-defined networking, we study the total cost minimisation problem for a CDC provider by exploiting geographical diversity of energy and bandwidth costs. We formulate the total cost minimisation problem as a mixed integer non-linear programming (MINLP). Then, we develop heuristic algorithms to solve the problem and to provide a cost-aware request routing for joint optimisation of the selection of ISPs and the number of servers in distributed CDCs. Besides, to tackle the dynamic workload in distributed CDCs, this article proposes a regression-based workload prediction method to obtain future incoming workload. Finally, this work evaluates the cost-aware request routing by trace-driven simulation and compares it with the existing approaches to demonstrate its effectiveness.
The Effects of Automation on Battle Manager Workload and Performance
2008-01-01
such as the National Aeronautics and Space Administration ( NASA ) Task Load Index ( TLX ) (Hart & Staveland, 1988), the Subjec- tive Workload Assessment...Factor Metric Experience Demographic questionnaire Stress level NASA TLX SWAT Assessment Observer reports Confidence Logged performance data...Mahwah, New Jersey: Law- rence Erlbaum Associates. Hart, S. G., & Staveland, L. E. (1988). Development of NASA - TLX (Task Load Index): Results of
Workload-Driven Design and Evaluation of Large-Scale Data-Centric Systems
2012-05-09
in the batch zone in and out of a low-power state, e.g., sending a “ hibernate ” command via ssh and using Wake-on-LAN or related technologies [85]. If...parameter values for experiments with stand-alone jobs. The mapred.child.java.opts parameter sets the maximum virtual memory of the Java child pro- cesses
Burnout and Workload Among Health Care Workers: The Moderating Role of Job Control
Portoghese, Igor; Galletta, Maura; Coppola, Rosa Cristina; Finco, Gabriele; Campagna, Marcello
2014-01-01
Background As health care workers face a wide range of psychosocial stressors, they are at a high risk of developing burnout syndrome, which in turn may affect hospital outcomes such as the quality and safety of provided care. The purpose of the present study was to investigate the moderating effect of job control on the relationship between workload and burnout. Methods A total of 352 hospital workers from five Italian public hospitals completed a self-administered questionnaire that was used to measure exhaustion, cynicism, job control, and workload. Data were collected in 2013. Results In contrast to previous studies, the results of this study supported the moderation effect of job control on the relationship between workload and exhaustion. Furthermore, the results found support for the sequential link from exhaustion to cynicism. Conclusion This study showed the importance for hospital managers to carry out management practices that promote job control and provide employees with job resources, in order to reduce the burnout risk. PMID:25379330
The ATLAS PanDA Pilot in Operation
NASA Astrophysics Data System (ADS)
Nilsson, P.; Caballero, J.; De, K.; Maeno, T.; Stradling, A.; Wenaus, T.; ATLAS Collaboration
2011-12-01
The Production and Distributed Analysis system (PanDA) [1-2] was designed to meet ATLAS [3] requirements for a data-driven workload management system capable of operating at LHC data processing scale. Submitted jobs are executed on worker nodes by pilot jobs sent to the grid sites by pilot factories. This paper provides an overview of the PanDA pilot [4] system and presents major features added in light of recent operational experience, including multi-job processing, advanced job recovery for jobs with output storage failures, gLExec [5-6] based identity switching from the generic pilot to the actual user, and other security measures. The PanDA system serves all ATLAS distributed processing and is the primary system for distributed analysis; it is currently used at over 100 sites worldwide. We analyze the performance of the pilot system in processing real LHC data on the OSG [7], EGI [8] and Nordugrid [9-10] infrastructures used by ATLAS, and describe plans for its evolution.
Bringing the CMS distributed computing system into scalable operations
NASA Astrophysics Data System (ADS)
Belforte, S.; Fanfani, A.; Fisk, I.; Flix, J.; Hernández, J. M.; Kress, T.; Letts, J.; Magini, N.; Miccio, V.; Sciabà, A.
2010-04-01
Establishing efficient and scalable operations of the CMS distributed computing system critically relies on the proper integration, commissioning and scale testing of the data and workload management tools, the various computing workflows and the underlying computing infrastructure, located at more than 50 computing centres worldwide and interconnected by the Worldwide LHC Computing Grid. Computing challenges periodically undertaken by CMS in the past years with increasing scale and complexity have revealed the need for a sustained effort on computing integration and commissioning activities. The Processing and Data Access (PADA) Task Force was established at the beginning of 2008 within the CMS Computing Program with the mandate of validating the infrastructure for organized processing and user analysis including the sites and the workload and data management tools, validating the distributed production system by performing functionality, reliability and scale tests, helping sites to commission, configure and optimize the networking and storage through scale testing data transfers and data processing, and improving the efficiency of accessing data across the CMS computing system from global transfers to local access. This contribution reports on the tools and procedures developed by CMS for computing commissioning and scale testing as well as the improvements accomplished towards efficient, reliable and scalable computing operations. The activities include the development and operation of load generators for job submission and data transfers with the aim of stressing the experiment and Grid data management and workload management systems, site commissioning procedures and tools to monitor and improve site availability and reliability, as well as activities targeted to the commissioning of the distributed production, user analysis and monitoring systems.
Kilgore, Matthew D
The cardiology service line director at a health maintenance organization (HMO) in Washington State required a valid, reliable, and practical means for measuring workloads and other productivity factors for six heart failure (HF) registered nurse case managers located across three geographical regions. The Kilgore Heart Failure Case Management (KHFCM) Acuity Tool was systematically designed, developed, and validated to measure workload as a dependent function of the number of heart failure case management (HFCM) services rendered and the duration of times spent on various care duties. Research and development occurred at various HMO-affiliated internal medicine and cardiology offices throughout Western Washington. The concepts, methods, and principles used to develop the KHFCM Acuity Tool are applicable for any type of health care professional aiming to quantify workload using a high-quality objective tool. The content matter, scaling, and language on the KHFCM Acuity Tool are specific to HFCM settings. The content matter and numeric scales for the KHFCM Acuity Tool were developed and validated using a mixed-method participant action research method applied to a group of six outpatient HF case managers and their respective caseloads. The participant action research method was selected, because the application of this method requires research participants to become directly involved in the diagnosis of research problems, the planning and execution of actions taken to address those problems, and the implementation of progressive strategies throughout the course of the study, as necessary, to produce the most credible and practical practice improvements (; ; ; ). Heart failure case managers served clients with New York Heart Association Functional Class III-IV HF (), and encounters were conducted primarily by telephone or in-office consultation. A mix of qualitative and quantitative results demonstrated a variety of quality improvement outcomes achieved by the design and practice application of the KHFCM Acuity Tool. Quality improvement outcomes included a more valid reflection of encounter times and demonstration of the KHFCM Acuity Tool as a reliable, practical, credible, and satisfying tool for reflecting HF case manager workloads and HF disease severity. The KHFCM Acuity Tool defines workload simply as a function of the number of HFCM services performed and the duration of time spent on a client encounter. The design of the tool facilitates the measure of workload, service utilization, and HF disease characteristics, independently from the overall measure of acuity, so that differences in individual case manager practice, as well as client characteristics within sites, across sites, and potentially throughout annual seasons, can be demonstrated. Data produced from long-term applications of the KHFCM Acuity Tool, across all regions, could serve as a driver for establishing systemwide HFCM productivity benchmarks or standards of practice for HF case managers. Data produced from localized applications could serve as a reference for coordinating staffing resources or developing HFCM productivity benchmarks within individual regions or sites.
Aircrew Discourse: Exploring Strategies of Information and Action Management
NASA Technical Reports Server (NTRS)
Irwin, Cheryl M.; Veinott, Elizabeth S.; Shafto, Michael G. (Technical Monitor)
1995-01-01
This paper explores methodology issues encountered in the analysis of flightcrew communications in aviation simulation research. Examples are provided by two recent studies which are compared on three issues: level of analysis, data definition, and interpretation of the results. The data discussed were collected in a study comparing two levels of aircraft automation. The first example is an investigation of how pilots' information transfer strategies differed as a function of automation during low and high-workload flight phases. The second study focuses on how crews managed actions in the two aircraft during a ten minute, high-workload flight segment. Results indicated that crews in the two aircraft differed in their strategies of information and action management. The differences are discussed in terms of their operational and research significance.
Resources–tasks imbalance: Experiences of nurses from factors influencing workload to increase
Khademi, Mojgan; Mohammadi, Easa; Vanaki, Zohreh
2015-01-01
Background: While nursing workload is a worldwide challenge, less attention has been given to the determining factors. Understanding these factors is important and could help nursing managers to provide suitable working environment and to manage the adverse outcomes of nursing workload. The aim of this study was to discover nurses’ experiences of determinant factors of their workload. Materials and Methods: In this qualitative study, the participants included 15 nurses working in two hospitals in Tehran, Iran. The data were collected through 26 unstructured interviews and were analyzed using conventional content analysis. The rigor has been guaranteed with prolonged engagement, maximum variance sampling, member check, and audit trail. Results: Resource–task imbalance was the main theme of nurses’ experiences. It means that there was an imbalance between necessary elements to meet patients’ needs in comparison with expectation and responsibility. Resource–task imbalance included lack of resource, assignment without preparation, assigning non-care tasks, and patients’ and families’ needs/expectations. Conclusions: A deep and comprehensive imbalance between recourses and tasks and expectations has been perceived by the participants to be the main source of work overload. Paying more attention to resource allocation, education of quality workforce, and job description by managers is necessary. PMID:26257804
Intelligent Agent Transparency in Human-Agent Teaming for Multi-UxV Management.
Mercado, Joseph E; Rupp, Michael A; Chen, Jessie Y C; Barnes, Michael J; Barber, Daniel; Procci, Katelyn
2016-05-01
We investigated the effects of level of agent transparency on operator performance, trust, and workload in a context of human-agent teaming for multirobot management. Participants played the role of a heterogeneous unmanned vehicle (UxV) operator and were instructed to complete various missions by giving orders to UxVs through a computer interface. An intelligent agent (IA) assisted the participant by recommending two plans-a top recommendation and a secondary recommendation-for every mission. A within-subjects design with three levels of agent transparency was employed in the present experiment. There were eight missions in each of three experimental blocks, grouped by level of transparency. During each experimental block, the IA was incorrect three out of eight times due to external information (e.g., commander's intent and intelligence). Operator performance, trust, workload, and usability data were collected. Results indicate that operator performance, trust, and perceived usability increased as a function of transparency level. Subjective and objective workload data indicate that participants' workload did not increase as a function of transparency. Furthermore, response time did not increase as a function of transparency. Unlike previous research, which showed that increased transparency resulted in increased performance and trust calibration at the cost of greater workload and longer response time, our results support the benefits of transparency for performance effectiveness without additional costs. The current results will facilitate the implementation of IAs in military settings and will provide useful data to the design of heterogeneous UxV teams. © 2016, Human Factors and Ergonomics Society.
Generating Shifting Workloads to Benchmark Adaptability in Relational Database Systems
NASA Astrophysics Data System (ADS)
Rabl, Tilmann; Lang, Andreas; Hackl, Thomas; Sick, Bernhard; Kosch, Harald
A large body of research concerns the adaptability of database systems. Many commercial systems already contain autonomic processes that adapt configurations as well as data structures and data organization. Yet there is virtually no possibility for a just measurement of the quality of such optimizations. While standard benchmarks have been developed that simulate real-world database applications very precisely, none of them considers variations in workloads produced by human factors. Today’s benchmarks test the performance of database systems by measuring peak performance on homogeneous request streams. Nevertheless, in systems with user interaction access patterns are constantly shifting. We present a benchmark that simulates a web information system with interaction of large user groups. It is based on the analysis of a real online eLearning management system with 15,000 users. The benchmark considers the temporal dependency of user interaction. Main focus is to measure the adaptability of a database management system according to shifting workloads. We will give details on our design approach that uses sophisticated pattern analysis and data mining techniques.
Evaluation of the Display of Cognitive State Feedback to Drive Adaptive Task Sharing
Dorneich, Michael C.; Passinger, Břetislav; Hamblin, Christopher; Keinrath, Claudia; Vašek, Jiři; Whitlow, Stephen D.; Beekhuyzen, Martijn
2017-01-01
This paper presents an adaptive system intended to address workload imbalances between pilots in future flight decks. Team performance can be maximized when task demands are balanced within crew capabilities and resources. Good communication skills enable teams to adapt to changes in workload, and include the balancing of workload between team members This work addresses human factors priorities in the aviation domain with the goal to develop concepts that balance operator workload, support future operator roles and responsibilities, and support new task requirements, while allowing operators to focus on the most safety critical tasks. A traditional closed-loop adaptive system includes the decision logic to turn automated adaptations on and off. This work takes a novel approach of replacing the decision logic, normally performed by the automation, with human decisions. The Crew Workload Manager (CWLM) was developed to objectively display the workload between pilots and recommend task sharing; it is then the pilots who “close the loop” by deciding how to best mitigate unbalanced workload. The workload was manipulated by the Shared Aviation Task Battery (SAT-B), which was developed to provide opportunities for pilots to mitigate imbalances in workload between crew members. Participants were put in situations of high and low workload (i.e., workload was manipulated as opposed to being measured), the workload was then displayed to pilots, and pilots were allowed to decide how to mitigate the situation. An evaluation was performed that utilized the SAT-B to manipulate workload and create workload imbalances. Overall, the CWLM reduced the time spent in unbalanced workload and improved the crew coordination in task sharing while not negatively impacting concurrent task performance. Balancing workload has the potential to improve crew resource management and task performance over time, and reduce errors and fatigue. Paired with a real-time workload measurement system, the CWLM could help teams manage their own task load distribution. PMID:28400716
Evaluation of the Display of Cognitive State Feedback to Drive Adaptive Task Sharing.
Dorneich, Michael C; Passinger, Břetislav; Hamblin, Christopher; Keinrath, Claudia; Vašek, Jiři; Whitlow, Stephen D; Beekhuyzen, Martijn
2017-01-01
This paper presents an adaptive system intended to address workload imbalances between pilots in future flight decks. Team performance can be maximized when task demands are balanced within crew capabilities and resources. Good communication skills enable teams to adapt to changes in workload, and include the balancing of workload between team members This work addresses human factors priorities in the aviation domain with the goal to develop concepts that balance operator workload, support future operator roles and responsibilities, and support new task requirements, while allowing operators to focus on the most safety critical tasks. A traditional closed-loop adaptive system includes the decision logic to turn automated adaptations on and off. This work takes a novel approach of replacing the decision logic, normally performed by the automation, with human decisions. The Crew Workload Manager (CWLM) was developed to objectively display the workload between pilots and recommend task sharing; it is then the pilots who "close the loop" by deciding how to best mitigate unbalanced workload. The workload was manipulated by the Shared Aviation Task Battery (SAT-B), which was developed to provide opportunities for pilots to mitigate imbalances in workload between crew members. Participants were put in situations of high and low workload (i.e., workload was manipulated as opposed to being measured), the workload was then displayed to pilots, and pilots were allowed to decide how to mitigate the situation. An evaluation was performed that utilized the SAT-B to manipulate workload and create workload imbalances. Overall, the CWLM reduced the time spent in unbalanced workload and improved the crew coordination in task sharing while not negatively impacting concurrent task performance. Balancing workload has the potential to improve crew resource management and task performance over time, and reduce errors and fatigue. Paired with a real-time workload measurement system, the CWLM could help teams manage their own task load distribution.
NASA Astrophysics Data System (ADS)
Pinner, J. W., IV
2016-02-01
Data from shipboard oceanographic sensors are collected in various ASCii, binary, open and proprietary formats. Acquiring all of these formats using single, monolithic data acquisition system (DAS) can be cumbersome, complex and difficult to adapt for the ever changing suite of emerging oceanographic sensors. Another approach to the at-sea data acquisition challenge is to utilize multiple DAS software packages and corral the resulting data files with a ship-wide data management system. The Open Vessel Data Management project (OpenVDM) implements this second approach to ship-wide data management and over the last three years has successfully demonstrated it's ability to deliver a consistent cruise data package to scientists while reducing the workload placed on marine technicians. In addition to meeting the at-sea and post-cruise needs of scientists OpenVDM is helping vessel operators better adhere to the recommendations and best practices set forth by 3rd party data management and data quality groups such as R2R and SAMOS. OpenVDM also includes tools for supporting telepresence-enabled ocean research/exploration such as bandwidth-efficient ship-to-shore data transfers, shore-side data access, data visualization and near-real-time data quality tests and data statistics. OpenVDM is currently operating aboard three vessels. The R/V Endeavor, operated by the University of Rhode Island, is a regional-class UNOLS research vessel operating under the traditional NFS, P.I. driven model. The E/V Nautilus, operated by the Ocean Exploration Trust specializes in ROV-based, telepresence-enabled oceanographic research. The R/V Falkor operated by the Schmidt Ocean Institute is an ocean research platform focusing on cutting-edge technology development. These three vessels all have different missions, sensor suites and operating models yet all are able to leverage OpenVDM for managing their unique datasets and delivering a more consistent cruise data package to scientists and data archives.
GPs' perceptions of workload in England: a qualitative interview study.
Croxson, Caroline Hd; Ashdown, Helen F; Hobbs, Fd Richard
2017-02-01
GPs report the lowest levels of morale among doctors, job satisfaction is low, and the GP workforce is diminishing. Workload is frequently cited as negatively impacting on commitment to a career in general practice, and many GPs report that their workload is unmanageable. To gather an in-depth understanding of GPs' perceptions and attitudes towards workload. All GPs working within NHS England were eligible. Advertisements were circulated via regional GP e-mail lists and national social media networks in June 2015. Of those GPs who responded, a maximum-variation sample was selected until data saturation was reached. Semi-structured, qualitative interviews were conducted. Data were analysed thematically. In total, 171 GPs responded, and 34 were included in this study. GPs described an increase in workload over recent years, with current working days being long and intense, raising concerns over the wellbeing of GPs and patients. Full-time partnership was generally not considered to be possible, and many participants felt workload was unsustainable, particularly given the diminishing workforce. Four major themes emerged to explain increased workload: increased patient needs and expectations; a changing relationship between primary and secondary care; bureaucracy and resources; and the balance of workload within a practice. Continuity of care was perceived as being eroded by changes in contracts and working patterns to deal with workload. This study highlights the urgent need to address perceived lack of investment and clinical capacity in general practice, and suggests that managing patient expectations around what primary care can deliver, and reducing bureaucracy, have become key issues, at least until capacity issues are resolved. © British Journal of General Practice 2017.
MacDonald, Sharyn L S; Cowan, Ian A; Floyd, Richard A; Graham, Rob
2013-10-01
Accurate and transparent measurement and monitoring of radiologist workload is highly desirable for management of daily workflow in a radiology department, and for informing decisions on department staffing needs. It offers the potential for benchmarking between departments and assessing future national workforce and training requirements. We describe a technique for quantifying, with minimum subjectivity, all the work carried out by radiologists in a tertiary department. Six broad categories of clinical activities contributing to radiologist workload were identified: reporting, procedures, trainee supervision, clinical conferences and teaching, informal case discussions, and administration related to referral forms. Time required for reporting was measured using data from the radiology information system. Other activities were measured by observation and timing by observers, and based on these results and extensive consultation, the time requirements and frequency of each activity was agreed on. An activity list was created to record this information and to calculate the total clinical hours required to meet the demand for radiologist services. Diagnostic reporting accounted for approximately 35% of radiologist clinical time; procedures, 23%; trainee supervision, 15%; conferences and tutorials, 14%; informal case discussions, 10%; and referral-related administration, 3%. The derived data have been proven reliable for workload planning over the past 3 years. A transparent and robust method of measuring radiologists' workload has been developed, with subjective assessments kept to a minimum. The technique has value for daily workload and longer term planning. It could be adapted for widespread use. © 2013 The Authors. Journal of Medical Imaging and Radiation Oncology © 2013 The Royal Australian and New Zealand College of Radiologists.
Pilot workload and fatigue: A critical survey of concepts and assessment techniques
NASA Technical Reports Server (NTRS)
Gartner, W. B.; Murphy, M. R.
1976-01-01
The principal unresolved issues in conceptualizing and measuring pilot workload and fatigue are discussed. These issues are seen as limiting the development of more useful working concepts and techniques and their application to systems engineering and management activities. A conceptual analysis of pilot workload and fatigue, an overview and critique of approaches to the assessment of these phenomena, and a discussion of current trends in the management of unwanted workload and fatigue effects are presented. Refinements and innovations in assessment methods are recommended for enhancing the practical significance of workload and fatigue studies.
Pilot and Controller Workload and Situation Awareness with Three Traffic Management Concept
NASA Technical Reports Server (NTRS)
Vu, Kim-Phuong L.; Strybel, Thomas Z.; Kraut, Joshua; Bacon, Paige; Minakata, Katsumi; Battiste, Vernol; Johnson, Walter
2010-01-01
This paper reports on workload and situation awareness of pilots and controllers participating in a human-in-the-loop simulation using three different distributed air-ground traffic management concepts. Eight experimental pilots started the scenario in an en-route phase of flight and were asked to avoid convective weather while performing spacing and merging tasks along with a continuous descent approach (CDA) into Louisville Standiford Airport (SDF). Two controllers managed the sectors through which the pilots flew, with one managing a sector that included the Top of Descent, and the other managing a sector that included the merge point for arrival into SDF. At 3-minute intervals in the scenario, pilots and controllers were probed on their workload or situation awareness. We employed one of three concepts of operation that distributed separation responsibility across human controllers, pilots, and automation to measure changes in operator situation awareness and workload. We found that when pilots were responsible for separation, they had higher levels of awareness, but not necessarily higher levels of workload. When controllers are responsible and actively engaged, they showed higher workload levels compared to pilots and changes in awareness that were dependent on sector characteristics.
Community mental health nursing: keeping pace with care delivery?
Henderson, Julie; Willis, Eileen; Walter, Bonnie; Toffoli, Luisa
2008-06-01
The National Mental Health Strategy has been associated with the movement of service delivery into the community, creating greater demand for community services. The literature suggests that the closure of psychiatric beds and earlier discharge from inpatient services, have contributed to an intensification of the workload of community mental health nurses. This paper reports findings from the first stage of an action research project to develop a workload equalization tool for community mental health nurses. The study presents data from focus groups conducted with South Australian community mental health nurses to identify issues that impact upon their workload. Four themes were identified, relating to staffing and workforce issues, clients' characteristics or needs, regional issues, and the impact of the health-care system. The data show that the workload of community mental health nurses is increased by the greater complexity of needs of community mental health clients. Service change has also resulted in poor integration between inpatient and community services and tension between generic case management and specialist roles resulting in nurses undertaking tasks for other case managers. These issues, along with difficulties in recruiting and retaining staff, have led to the intensification of community mental health work and a crisis response to care with less time for targeted interventions.
NASA Technical Reports Server (NTRS)
Ligda, Sarah V.; Dao, Arik-Quang V.; Vu, Kim-Phuong; Strybel, Thomas Z.; Battiste, Vernol; Johnson, Walter W.
2010-01-01
Pilot workload was examined during simulated flights requiring flight deck-based merging and spacing while avoiding weather. Pilots used flight deck tools to avoid convective weather and space behind a lead aircraft during an arrival into Louisville International airport. Three conflict avoidance management concepts were studied: pilot, controller or automation primarily responsible. A modified Air Traffic Workload Input Technique (ATWIT) metric showed highest workload during the approach phase of flight and lowest during the en-route phase of flight (before deviating for weather). In general, the modified ATWIT was shown to be a valid and reliable workload measure, providing more detailed information than post-run subjective workload metrics. The trend across multiple workload metrics revealed lowest workload when pilots had both conflict alerting and responsibility of the three concepts, while all objective and subjective measures showed highest workload when pilots had no conflict alerting or responsibility. This suggests that pilot workload was not tied primarily to responsibility for resolving conflicts, but to gaining and/or maintaining situation awareness when conflict alerting is unavailable.
[Evaluation of nurse workload in patients undergoing therapeutic hypothermia].
Argibay-Lago, Ana; Fernández-Rodríguez, Diego; Ferrer-Sala, Nuria; Prieto-Robles, Cristina; Hernanz-del Río, Alexandre; Castro-Rebollo, Pedro
2014-01-01
Therapeutic hypothermia (TH) is recommended to minimize neurological damage in patients surviving sudden cardiac arrest (SCA). There is scarcity of data evaluating the nursing workload in these patients. The objective of the study is to assess the workload of nurses whilst treating patients undergoing TH after SCA. A 43-month prospective-retrospective comparative cohort study was designed. Patients admitted to intensive care unit, for recovered SCA and persistent coma, were included. A comparison was made using the baseline characteristics, medical management, in-hospital mortality, and nursing workload during the first 96hours using the Therapeutic Intervention Scoring System-28 (TISS-28); Nursing Activities Score (NAS); and Nine Equivalents of Nursing Manpower Use Score (NEMS) scales among patients who received TH and those who did not. A total 46 patients were included: 26 in the TH group and 20 in the Non-TH group. Regarding baseline characteristics and management, the TH group presented higher prevalence of smoking habit (69 vs. 25%, p=0.012), out-of-hospital SCA (96 vs. 55%, p<0.001), and the performance of coronary angiography (96 vs. 65%, p=0.014) compared with the non-TH group. No differences were observed in the nursing workload, assessed by TISS 28, NAS or NEMS scales, or in-hospital mortality. In this study performance of TH in SCA survivors is not associated with an increase in nursing workload. The installation of a TH program does not require the use of more nursing resources in terms of workload. Copyright © 2014 Elsevier España, S.L.U. All rights reserved.
GPs’ perceptions of workload in England: a qualitative interview study
Croxson, Caroline HD; Ashdown, Helen F; Hobbs, FD Richard
2017-01-01
Background GPs report the lowest levels of morale among doctors, job satisfaction is low, and the GP workforce is diminishing. Workload is frequently cited as negatively impacting on commitment to a career in general practice, and many GPs report that their workload is unmanageable. Aim To gather an in-depth understanding of GPs’ perceptions and attitudes towards workload. Design and setting All GPs working within NHS England were eligible. Advertisements were circulated via regional GP e-mail lists and national social media networks in June 2015. Of those GPs who responded, a maximum-variation sample was selected until data saturation was reached. Method Semi-structured, qualitative interviews were conducted. Data were analysed thematically. Results In total, 171 GPs responded, and 34 were included in this study. GPs described an increase in workload over recent years, with current working days being long and intense, raising concerns over the wellbeing of GPs and patients. Full-time partnership was generally not considered to be possible, and many participants felt workload was unsustainable, particularly given the diminishing workforce. Four major themes emerged to explain increased workload: increased patient needs and expectations; a changing relationship between primary and secondary care; bureaucracy and resources; and the balance of workload within a practice. Continuity of care was perceived as being eroded by changes in contracts and working patterns to deal with workload. Conclusion This study highlights the urgent need to address perceived lack of investment and clinical capacity in general practice, and suggests that managing patient expectations around what primary care can deliver, and reducing bureaucracy, have become key issues, at least until capacity issues are resolved. PMID:28093422
Aviation human-in-the-loop simulation studies : experimental planning, design, and data management.
DOT National Transportation Integrated Search
2014-01-01
Researchers from the NASAAmes Flight Cognition Laband the FAAs Aerospace Human Factors Research Lab at the Civil Aerospace Medical Instituteexamined task and workload management by single pilots in very light jets, also called entry-level jets.Thi...
2015-07-01
pace of special operations deployments, but opportunities may exist to better balance the workload across the joint force because activities...executes funding in operation and maintenance; procurement; research , development, test, and evaluation; and military construction accounts.13 SOCOM...regional awareness. Moreover, officials noted that increases in civilian positions were driven partly by DOD’s attempts to rebalance workload and become a
Survey of piloting factors in V/STOL aircraft with implications for flight control system design
NASA Technical Reports Server (NTRS)
Ringland, R. F.; Craig, S. J.
1977-01-01
Flight control system design factors involved for pilot workload relief are identified. Major contributors to pilot workload include configuration management and control and aircraft stability and response qualities. A digital fly by wire stability augmentation, configuration management, and configuration control system is suggested for reduction of pilot workload during takeoff, hovering, and approach.
ERIC Educational Resources Information Center
Ames, Michael D.
1976-01-01
A participatory process by which a useful costing and data management system was developed at Chapman College is described. The system summarizes information on instructional workloads, class sizes, and the costs per student credit hour for academic programs. Costs incurred in other areas to support each program are included. (Editor/LBH)
NASA Technical Reports Server (NTRS)
Groce, J. L.; Boucek, G. P.
1988-01-01
This study is a continuation of an FAA effort to alleviate the growing problems of assimilating and managing the flow of data and flight related information in the air transport flight deck. The nature and extent of known pilot interface problems arising from new NAS data management programs were determined by a comparative timeline analysis of crew tasking requirements. A baseline of crew tasking requirements was established for conventional and advanced flight decks operating in the current NAS environment and then compared to the requirements for operation in a future NAS environment emphasizing Mode-S data link and TCAS. Results showed that a CDU-based pilot interface for Mode-S data link substantially increased crew visual activity as compared to the baseline. It was concluded that alternative means of crew interface should be available during high visual workload phases of flight. Results for TCAS implementation showed substantial visual and motor tasking increases, and that there was little available time between crew tasks during a TCAS encounter. It was concluded that additional research should be undertaken to address issues of ATC coordination and the relative benefit of high workload TCAS features.
Managing Teacher Workload: Work-Life Balance and Wellbeing
ERIC Educational Resources Information Center
Bubb, Sara; Earley, Peter
2004-01-01
This book is divided into three sections. In the First Section, entitled "Wellbeing and Workload", the authors examine teacher workload and how teachers spend their time. Chapter 1 focuses on what the causes and effects of excessive workload are, especially in relation to wellbeing, stress and, crucially, recruitment and retention?…
Task Management in the New ATLAS Production System
NASA Astrophysics Data System (ADS)
De, K.; Golubkov, D.; Klimentov, A.; Potekhin, M.; Vaniachine, A.; Atlas Collaboration
2014-06-01
This document describes the design of the new Production System of the ATLAS experiment at the LHC [1]. The Production System is the top level workflow manager which translates physicists' needs for production level processing and analysis into actual workflows executed across over a hundred Grid sites used globally by ATLAS. As the production workload increased in volume and complexity in recent years (the ATLAS production tasks count is above one million, with each task containing hundreds or thousands of jobs) there is a need to upgrade the Production System to meet the challenging requirements of the next LHC run while minimizing the operating costs. In the new design, the main subsystems are the Database Engine for Tasks (DEFT) and the Job Execution and Definition Interface (JEDI). Based on users' requests, DEFT manages inter-dependent groups of tasks (Meta-Tasks) and generates corresponding data processing workflows. The JEDI component then dynamically translates the task definitions from DEFT into actual workload jobs executed in the PanDA Workload Management System [2]. We present the requirements, design parameters, basics of the object model and concrete solutions utilized in building the new Production System and its components.
Relationship between mental workload and musculoskeletal disorders among Alzahra Hospital nurses
Habibi, Ehsanollah; Taheri, Mohamad Reza; Hasanzadeh, Akbar
2015-01-01
Background: Musculoskeletal disorders (MSDs) are a serious problem among the nursing staff. Mental workload is the major cause of MSDs among nursing staff. The aim of this study was to investigate the mental workload dimensions and their association with MSDs among nurses of Alzahra Hospital, affiliated to Isfahan University of Medical Sciences. Materials and Methods: This descriptive cross-sectional study was conducted on 247 randomly selected nurses who worked in the Alzahra Hospital in Isfahan, Iran in the summer of 2013. The Persian version of National Aeronautics and Space Administration Task Load Index (NASA-TLX) (measuring mental load) specialized questionnaire and Cornell Musculoskeletal Discomfort Questionnaire (CMDQ) was used for data collection. Data were collected and analyzed by Pearson correlation coefficient and Spearman correlation coefficient tests in SPSS 20. Results: Pearson and Spearman correlation tests showed a significant association between the nurses’ MSDs and the dimensions of workload frustration, total workload, temporal demand, effort, and physical demand (r = 0.304, 0.277, 0.277, 0.216, and 0.211, respectively). However, there was no significant association between the nurses’ MSDs and the dimensions of workload performance and mental demand (P > 0.05). Conclusions: The nurses’ frustration had a direct correlation with MSDs. This shows that stress is an inseparable component in hospital workplace. Thus, reduction of stress in nursing workplace should be one of the main priorities of hospital managers. PMID:25709683
Strategic workload management and decision biases in aviation
NASA Technical Reports Server (NTRS)
Raby, Mireille; Wickens, Christopher D.
1994-01-01
Thirty pilots flew three simulated landing approaches under conditions of low, medium, and high workload. Workload conditions were created by varying time pressure and external communications requirements. Our interest was in how the pilots strategically managed or adapted to the increasing workload. We independently assessed the pilot's ranking of the priority of different discrete tasks during the approach and landing. Pilots were found to sacrifice some aspects of primary flight control as workload increased. For discrete tasks, increasing workload increased the amount of time in performing the high priority tasks, decreased the time in performing those of lowest priority, and did not affect duration of performance episodes or optimality of scheduling of tasks of any priority level. Individual differences analysis revealed that high-performing subjects scheduled discrete tasks earlier in the flight and shifted more often between different activities.
DOT National Transportation Integrated Search
2006-12-01
This report contains analyses of driving performance data from the Advanced Collision Avoidance System (ACAS) Field Operational Test (FOT), with data from nearly 100 drivers and over 100,000 miles of driving. The analyses compared normal and distract...
NASA Technical Reports Server (NTRS)
Parker, J. F., Jr.; Duffy, J. W.
1982-01-01
Key problems in single pilot instrument flight operations are in the management of flight data and the processing of cockpit information during conditions of heavy workload. A flight data console was developed to allow simulation of a digital data link to replace the current voice communications stem used in air traffic control. This is a human factors evaluation of a data link communications system to determine how such a system might reduce cockpit workload, improve flight proficiency, and be accepted by general aviation pilots. The need for a voice channel as backup to a digital link is examined. The evaluations cover both airport terminal area operations and full mission instrument flight. Results show that general aviation pilots operate well with a digital data link communications system. The findings indicate that a data link system for pilot/ATC communications, with a backup voice channel, is well accepted by general aviation pilots and is considered to be safer, more efficient, and result in less workload than the current voice system.
Fallahi, Majid; Motamedzade, Majid; Heidarimoghadam, Rashid; Soltanian, Ali Reza; Miyake, Shinji
2016-01-01
This study evaluated operators' mental workload while monitoring traffic density in a city traffic control center. To determine the mental workload, physiological signals (ECG, EMG) were recorded and the NASA-Task Load Index (TLX) was administered for 16 operators. The results showed that the operators experienced a larger mental workload during high traffic density than during low traffic density. The traffic control center stressors caused changes in heart rate variability features and EMG amplitude, although the average workload score was significantly higher in HTD conditions than in LTD conditions. The findings indicated that increasing traffic congestion had a significant effect on HR, RMSSD, SDNN, LF/HF ratio, and EMG amplitude. The results suggested that when operators' workload increases, their mental fatigue and stress level increase and their mental health deteriorate. Therefore, it maybe necessary to implement an ergonomic program to manage mental health. Furthermore, by evaluating mental workload, the traffic control center director can organize the center's traffic congestion operators to sustain the appropriate mental workload and improve traffic control management. Copyright © 2015 Elsevier Ltd and The Ergonomics Society. All rights reserved.
Enhancing the effectiveness of human-robot teaming with a closed-loop system.
Teo, Grace; Reinerman-Jones, Lauren; Matthews, Gerald; Szalma, James; Jentsch, Florian; Hancock, Peter
2018-02-01
With technological developments in robotics and their increasing deployment, human-robot teams are set to be a mainstay in the future. To develop robots that possess teaming capabilities, such as being able to communicate implicitly, the present study implemented a closed-loop system. This system enabled the robot to provide adaptive aid without the need for explicit commands from the human teammate, through the use of multiple physiological workload measures. Such measures of workload vary in sensitivity and there is large inter-individual variability in physiological responses to imposed taskload. Workload models enacted via closed-loop system should accommodate such individual variability. The present research investigated the effects of the adaptive robot aid vs. imposed aid on performance and workload. Results showed that adaptive robot aid driven by an individualized workload model for physiological response resulted in greater improvements in performance compared to aid that was simply imposed by the system. Copyright © 2017 Elsevier Ltd. All rights reserved.
Case Study of the Space Shuttle Cockpit Avionics Upgrade Software
NASA Technical Reports Server (NTRS)
Ferguson, Roscoe C.; Thompson, Hiram C.
2005-01-01
The purpose of the Space Shuttle Cockpit Avionics Upgrade project was to reduce crew workload and improve situational awareness. The upgrade was to augment the Shuttle avionics system with new hardware and software. An early version of this system was used to gather human factor statistics in the Space Shuttle Motion Simulator of the Johnson Space Center for one month by multiple teams of astronauts. The results were compiled by NASA Ames Research Center and it was was determined that the system provided a better than expected increase in situational awareness and reduction in crew workload. Even with all of the benefits nf the system, NASA cancelled the project towards the end of the development cycle. A major success of this project was the validation of the hardware architecture and software design. This was significant because the project incorporated new technology and approaches for the development of human rated space software. This paper serves as a case study to document knowledge gained and techniques that can be applied for future space avionics development efforts. The major technological advances were the use of reflective memory concepts for data acquisition and the incorporation of Commercial off the Shelf (COTS) products in a human rated space avionics system. The infused COTS products included a real time operating system, a resident linker and loader, a display generation tool set, and a network data manager. Some of the successful design concepts were the engineering of identical outputs in multiple avionics boxes using an event driven approach and inter-computer communication, a reconfigurable data acquisition engine, the use of a dynamic bus bandwidth allocation algorithm. Other significant experiences captured were the use of prototyping to reduce risk, and the correct balance between Object Oriented and Functional based programming.
Comparison of nurse staffing based on changes in unit-level workload associated with patient churn.
Hughes, Ronda G; Bobay, Kathleen L; Jolly, Nicholas A; Suby, Chrysmarie
2015-04-01
This analysis compares the staffing implications of three measures of nurse staffing requirements: midnight census, turnover adjustment based on length of stay, and volume of admissions, discharges and transfers. Midnight census is commonly used to determine registered nurse staffing. Unit-level workload increases with patient churn, the movement of patients in and out of the nursing unit. Failure to account for patient churn in staffing allocation impacts nurse workload and may result in adverse patient outcomes. Secondary data analysis of unit-level data from 32 hospitals, where nursing units are grouped into three unit-type categories: intensive care, intermediate care, and medical surgical. Midnight census alone did not account adequately for registered nurse workload intensity associated with patient churn. On average, units were staffed with a mixture of registered nurses and other nursing staff not always to budgeted levels. Adjusting for patient churn increases nurse staffing across all units and shifts. Use of the discharges and transfers adjustment to midnight census may be useful in adjusting RN staffing on a shift basis to account for patient churn. Nurse managers should understand the implications to nurse workload of various methods of calculating registered nurse staff requirements. © 2013 John Wiley & Sons Ltd.
Student Workload and Assessment: Strategies to Manage Expectations and Inform Curriculum Development
ERIC Educational Resources Information Center
Scully, Glennda; Kerr, Rosemary
2014-01-01
This study reports the results of a survey of student study times and perceptions of workload in undergraduate and graduate accounting courses at a large Australian public university. The study was in response to student feedback expressing concerns about workload in courses. The presage factors of student workload and assessment in Biggs' 3P…
An Analysis of Category Management of Service Contracts
2017-12-01
management teams a way to make informed , data-driven decisions. Data-driven decisions derived from clustering not only align with Category...savings. Furthermore, this methodology provides a data-driven visualization to inform sound business decisions on potential Category Management ...Category Management initiatives. The Maptitude software will allow future research to collect data and develop visualizations to inform Category
Integration of PanDA workload management system with Titan supercomputer at OLCF
NASA Astrophysics Data System (ADS)
De, K.; Klimentov, A.; Oleynik, D.; Panitkin, S.; Petrosyan, A.; Schovancova, J.; Vaniachine, A.; Wenaus, T.
2015-12-01
The PanDA (Production and Distributed Analysis) workload management system (WMS) was developed to meet the scale and complexity of LHC distributed computing for the ATLAS experiment. While PanDA currently distributes jobs to more than 100,000 cores at well over 100 Grid sites, the future LHC data taking runs will require more resources than Grid computing can possibly provide. To alleviate these challenges, ATLAS is engaged in an ambitious program to expand the current computing model to include additional resources such as the opportunistic use of supercomputers. We will describe a project aimed at integration of PanDA WMS with Titan supercomputer at Oak Ridge Leadership Computing Facility (OLCF). The current approach utilizes a modified PanDA pilot framework for job submission to Titan's batch queues and local data management, with light-weight MPI wrappers to run single threaded workloads in parallel on Titan's multicore worker nodes. It also gives PanDA new capability to collect, in real time, information about unused worker nodes on Titan, which allows precise definition of the size and duration of jobs submitted to Titan according to available free resources. This capability significantly reduces PanDA job wait time while improving Titan's utilization efficiency. This implementation was tested with a variety of Monte-Carlo workloads on Titan and is being tested on several other supercomputing platforms. Notice: This manuscript has been authored, by employees of Brookhaven Science Associates, LLC under Contract No. DE-AC02-98CH10886 with the U.S. Department of Energy. The publisher by accepting the manuscript for publication acknowledges that the United States Government retains a non-exclusive, paid-up, irrevocable, world-wide license to publish or reproduce the published form of this manuscript, or allow others to do so, for United States Government purposes.
The Potential of Knowing More: A Review of Data-Driven Urban Water Management.
Eggimann, Sven; Mutzner, Lena; Wani, Omar; Schneider, Mariane Yvonne; Spuhler, Dorothee; Moy de Vitry, Matthew; Beutler, Philipp; Maurer, Max
2017-03-07
The promise of collecting and utilizing large amounts of data has never been greater in the history of urban water management (UWM). This paper reviews several data-driven approaches which play a key role in bringing forward a sea change. It critically investigates whether data-driven UWM offers a promising foundation for addressing current challenges and supporting fundamental changes in UWM. We discuss the examples of better rain-data management, urban pluvial flood-risk management and forecasting, drinking water and sewer network operation and management, integrated design and management, increasing water productivity, wastewater-based epidemiology and on-site water and wastewater treatment. The accumulated evidence from literature points toward a future UWM that offers significant potential benefits thanks to increased collection and utilization of data. The findings show that data-driven UWM allows us to develop and apply novel methods, to optimize the efficiency of the current network-based approach, and to extend functionality of today's systems. However, generic challenges related to data-driven approaches (e.g., data processing, data availability, data quality, data costs) and the specific challenges of data-driven UWM need to be addressed, namely data access and ownership, current engineering practices and the difficulty of assessing the cost benefits of data-driven UWM.
Krska, Janet; Palmer, Sharon; Dalzell-Brown, Annette; Nicholl, Pat
2013-07-01
To determine Citizen's Advice Bureaux (CAB) and general practice staff perceptions on the impact of a CAB Health Outreach (CABHO) service on staff workload. To quantify the frequency of mental health issues among patients referred to the CABHO service. To measure any impact of the CABHO service on appointments, referrals and prescribing for mental health. GPs and practice managers perceive that welfare rights services, provided by CAB, reduce practice staff workload, but this has not been quantified. Interviews with practice managers and GPs hosting and CAB staff providing an advisory service in nine general practices. Comparison of frequency of GP and nurse appointments, mental health referrals and prescriptions for hypnotics/anxiolytics and antidepressants issued before and after referral to the CABHO service, obtained from medical records of referred patients. Most GPs and CAB staff perceived the service reduced practice staff workload, although practice managers were less certain. CAB staff believed that many patients referred to them had mental health issues. Data were obtained for 148/250 referrals of whom 46% may have had a mental health issue. There were statistically significant reductions in the number of GP appointments and prescriptions for hypnotics/anxiolytics during the six months after referral to CABHO compared with six months before. There were also non-significant reductions in nurse appointments and prescriptions for antidepressants, but no change in appointments or referrals for mental health problems. The quantitative findings therefore confirmed perceptions among both CAB and practice staff of reduced workload and in addition suggest that prescribing may be reduced, although further larger-scale studies are required to confirm this.
How do Air Traffic Controllers Use Automation and Tools Differently During High Demand Situations?
NASA Technical Reports Server (NTRS)
Kraut, Joshua M.; Mercer, Joey; Morey, Susan; Homola, Jeffrey; Gomez, Ashley; Prevot, Thomas
2013-01-01
In a human-in-the-loop simulation, two air traffic controllers managed identical airspace while burdened with higher than average workload, and while using advanced tools and automation designed to assist with scheduling aircraft on multiple arrival flows to a single meter fix. This paper compares the strategies employed by each controller, and investigates how the controllers' strategies change while managing their airspace under more normal workload conditions and a higher workload condition. Each controller engaged in different methods of maneuvering aircraft to arrive on schedule, and adapted their strategies to cope with the increased workload in different ways. Based on the conclusions three suggestions are made: that quickly providing air traffic controllers with recommendations and information to assist with maneuvering and scheduling aircraft when burdened with increased workload will improve the air traffic controller's effectiveness, that the tools should adapt to the strategy currently employed by a controller, and that training should emphasize which traffic management strategies are most effective given specific airspace demands.
Middleware for big data processing: test results
NASA Astrophysics Data System (ADS)
Gankevich, I.; Gaiduchok, V.; Korkhov, V.; Degtyarev, A.; Bogdanov, A.
2017-12-01
Dealing with large volumes of data is resource-consuming work which is more and more often delegated not only to a single computer but also to a whole distributed computing system at once. As the number of computers in a distributed system increases, the amount of effort put into effective management of the system grows. When the system reaches some critical size, much effort should be put into improving its fault tolerance. It is difficult to estimate when some particular distributed system needs such facilities for a given workload, so instead they should be implemented in a middleware which works efficiently with a distributed system of any size. It is also difficult to estimate whether a volume of data is large or not, so the middleware should also work with data of any volume. In other words, the purpose of the middleware is to provide facilities that adapt distributed computing system for a given workload. In this paper we introduce such middleware appliance. Tests show that this middleware is well-suited for typical HPC and big data workloads and its performance is comparable with well-known alternatives.
Single-pilot workload management in entry-level jets.
DOT National Transportation Integrated Search
2013-09-01
Researchers from the NASA Ames Flight Cognition Lab and the FAAs Flight Deck Human Factors Research Laboratory at the Civil Aerospace Medical Institute (CAMI) examined task and workload management by single pilots in Very Light Jets (VLJs), also c...
The future of PanDA in ATLAS distributed computing
NASA Astrophysics Data System (ADS)
De, K.; Klimentov, A.; Maeno, T.; Nilsson, P.; Oleynik, D.; Panitkin, S.; Petrosyan, A.; Schovancova, J.; Vaniachine, A.; Wenaus, T.
2015-12-01
Experiments at the Large Hadron Collider (LHC) face unprecedented computing challenges. Heterogeneous resources are distributed worldwide at hundreds of sites, thousands of physicists analyse the data remotely, the volume of processed data is beyond the exabyte scale, while data processing requires more than a few billion hours of computing usage per year. The PanDA (Production and Distributed Analysis) system was developed to meet the scale and complexity of LHC distributed computing for the ATLAS experiment. In the process, the old batch job paradigm of locally managed computing in HEP was discarded in favour of a far more automated, flexible and scalable model. The success of PanDA in ATLAS is leading to widespread adoption and testing by other experiments. PanDA is the first exascale workload management system in HEP, already operating at more than a million computing jobs per day, and processing over an exabyte of data in 2013. There are many new challenges that PanDA will face in the near future, in addition to new challenges of scale, heterogeneity and increasing user base. PanDA will need to handle rapidly changing computing infrastructure, will require factorization of code for easier deployment, will need to incorporate additional information sources including network metrics in decision making, be able to control network circuits, handle dynamically sized workload processing, provide improved visualization, and face many other challenges. In this talk we will focus on the new features, planned or recently implemented, that are relevant to the next decade of distributed computing workload management using PanDA.
Workload of the VTS Sector Operator And Implications for Task Design
DOT National Transportation Integrated Search
1994-12-01
This study identifies the factors determining the VTS sector operator's workload and recommends : the most appropriate use of automation to manage that workload. Investigations were conducted at : VTS New York (Governors Island) and at VTS Puget Soun...
Harrison, Lindsay
2012-01-01
Led by the agency director, the agency engaged in a Strategic Review, based on a comprehensive assessment of agency performance that identified strategies to improve organizational effectiveness through increased data-informed practice and knowledge management. The Strategic Review gathered information on staff perceptions, perceptions of external stakeholders, changing citywide and neighborhood demographics, policy mandates, and budget and workload issues. The need for the review was based upon multiple, substantial changes not addressed in the 2000 Strategic Plan, including the 2004 merger of the Department of Human Services and the Department of Aging and Adult Services, changes among the executive management team, transitions among key political entities, new policy mandates and changing budget allocations. This case study describes the Strategic Review process and content, summarizing key challenges and lessons related to addressing workload demands, fostering positive staff attitudes, balancing internal and external information needs, and integrating data use and planning processes across the agency. Copyright © Taylor & Francis Group, LLC
Kang, Chun-Mei; Chiu, Hsiao-Ting; Hu, Yi-Chun; Chen, Hsiao-Lien; Lee, Pi-Hsia; Chang, Wen-Yin
2012-10-01
To assess the level of and the differences in managerial competencies, research capability, time management, executive power, workload and work-stress ratings among nurse administrators (NAs), and to determine the best predictors of managerial competencies for NAs. Although NAs require multifaceted managerial competencies, research related to NAs' managerial competencies is limited. A cross-sectional survey was conducted with 330 NAs from 16 acute care hospitals. Managerial competencies were determined through a self-developed questionnaire. Data were collected in 2011. All NAs gave themselves the highest rating on integrity and the lowest on both financial/budgeting and business acumen. All scores for managerial competencies, research capability, time management and executive power showed a statistically significant correlation. The stepwise regression analysis revealed that age; having received NA training; having completed a nursing project independently; and scores for research capability, executive power and workload could explain 63.2% of the total variance in managerial competencies. The present study provides recommendations for future administrative training programmes to increase NAs' managerial competency in fulfilling their management roles and functions. The findings inform leaders of hospitals where NAs need to develop additional competencies concerning the type of training NAs need to function proficiently. © 2012 Blackwell Publishing Ltd.
Single-pilot workload management in entry-level jets : appendices.
DOT National Transportation Integrated Search
2013-09-01
Researchers from the NASA Ames Flight Cognition Lab and the FAAs Flight Deck Human Factors Research Laboratory at the Civil Aerospace Medical Institute (CAMI) examined task and workload management by single pilots in Very Light Jets (VLJs), also c...
The impact on the workload of the Ward Manager with the introduction of administrative assistants.
Locke, Rachel; Leach, Camilla; Kitsell, Fleur; Griffith, Jacki
2011-03-01
To evaluate the impact on the workload of the Ward Manager (WM) with the introduction of administrative assistants into eight trusts in the South of England in a year-long pilot. Ward Managers are nurse leaders who are responsible for ward management and delivering expert clinical care to patients. They have traditionally been expected to achieve this role without administrative assistance. Meeting the workload demands of multiple roles and overload has meant the leadership and clinical role has suffered, presenting issues of low morale among existing WMs and issues of recruiting the next generation of WMs. Sixty qualitative interviews were carried out with 16 WMs, 12 Ward Manager Assistants (WMAs), and six senior nurse executives about the impact of the introduction of the WMA post. Quantitative data to measure change in WM workload and ward activity was supplied by 24 wards. Ward Managers reported spending reduced time on administrative tasks and having increased time available to spend on the ward with patients and leading staff. With the introduction of WMAs, there was also improvement in key performance measures (the maintenance of quality under service pressures) and increased staff motivation. There was overwhelming support for the introduction of administrative assistants from participating WMs. The WMAs enabled WMs to spend more time with patients and, more widely, to provide greater support to ward teams. The success of the pilot is reflected in wards working hard to be able to extend contracts of WMAs. The extent of the success is reflected in wards that were not participants in the pilot, observing the benefits of the post, having worked to secure funding to recruit their own WMAs. The widespread introduction of administrative assistance could increase ward productivity and provide support for clinical leaders. Continuing professional development for WMs needs to incorporate training about management responsibilities and how to best use administrative support. © 2011 The Authors. Journal compilation © 2011 Blackwell Publishing Ltd.
Evolution of the ATLAS PanDA Production and Distributed Analysis System
DOE Office of Scientific and Technical Information (OSTI.GOV)
Maeno, T.; De, K.; Wenaus, T.
2012-12-13
Evolution of the ATLAS PanDA Production and Distributed Analysis System T Maeno1,5, K De2, T Wenaus1, P Nilsson2, R Walker3, A Stradling2, V Fine1, M Potekhin1, S Panitkin1 and G Compostella4 Published under licence by IOP Publishing Ltd Journal of Physics: Conference Series, Volume 396, Part 3 Article PDF References Citations Metrics 101 Total downloads Cited by 8 articles Turn on MathJax Share this article Article information Abstract The PanDA (Production and Distributed Analysis) system has been developed to meet ATLAS production and analysis requirements for a data-driven workload management system capable of operating at LHC data processing scale. PanDAmore » has performed well with high reliability and robustness during the two years of LHC data-taking, while being actively evolved to meet the rapidly changing requirements for analysis use cases. We will present an overview of system evolution including automatic rebrokerage and reattempt for analysis jobs, adaptation for the CernVM File System, support for the multi-cloud model through which Tier-2 sites act as members of multiple clouds, pledged resource management and preferential brokerage, and monitoring improvements. We will also describe results from the analysis of two years of PanDA usage statistics, current issues, and plans for the future.« less
Matima, Rangarirai; Murphy, Katherine; Levitt, Naomi S; BeLue, Rhonda; Oni, Tolu
2018-01-01
Current South African health policy for chronic disease management proposes integration of chronic services for better outcomes for chronic conditions; that is based on the Integrated Chronic Disease Model (ICDM). However, scant data exist on how patients with chronic multimorbidities currently experience the (re)-organisation of health services and what their perceived needs are in order to enhance the management of their conditions. A qualitative study was conducted in a community health centre treating both HIV and diabetes patients in Cape Town. The study was grounded in the Shippee's Cumulative Complexity Model (CCM) and explored "patient workload" and "patient capacity" to manage chronic conditions. Individual interviews were conducted with 10 adult patient-participants with HIV and type two diabetes (T2D) multimorbidity and 6 healthcare workers who provided health services to these patient-participants. Patient-participants in this study experienced clinic-related workload such as: two separate clinics for HIV and T2D and perceived and experienced power mismatch between patients and healthcare workers. Self-care related workloads were largely around nutritional requirements, pill burden, and stigma. Burden of these demands varied in difficulty among patient-participants due to capacity factors such as: positive attitudes, optimal health literacy, social support and availability of economic resources. Strategies mentioned by participants for improved continuity of care and self-management of multi-morbidities included integration of chronic services, consolidated guidelines for healthcare workers, educational materials for patients, improved information systems and income for patients. Using the CCM to explore multimorbidity captured most of the themes around "patient workload" and "patient capacity", and was thus a suitable framework to explore multimorbidity in this high HIV/T2D burden setting. Integration of chronic services and addressing social determinants of health may be the first steps towards alleviating patient burden and improving their access and utilisation of these services. Further studies are necessary to explore multimorbidity beyond the context of HIV/T2D.
Perceptions of mental workload in Dutch university employees of different ages: a focus group study.
Bos, Judith T; Donders, Nathalie C G M; van der Velden, Koos; van der Gulden, Joost W J
2013-03-18
As academic workload seems to be increasing, many studies examined factors that contribute to the mental workload of academics. Age-related differences in work motives and intellectual ability may lead to differences in experienced workload and in the way employees experience work features. This study aims to obtain a better understanding of age differences in sources of mental workload. 33 academics from one faculty discussed causes of workload during focus group interviews, stratified by age. Among our participants, the influence of ageing seems most evident in employees' actions and reactions, while the causes of workload mentioned seemed largely similar. These individual reactions to workload may also be driven by differences in tenure. Most positively assessed work characteristics were: interaction with colleagues and students and autonomy. Aspects most often indicated as increasing the workload, were organisational aspects as obstacles for 'getting the best out of people' and the feeling that overtime seems unavoidable. Many employees indicated to feel stretched between the 'greediness' of the organisation and their own high working standards, and many fear to be assigned even less time for research if they do not meet the rigorous output criteria. Moreover, despite great efforts on their part, promotion opportunities seem limited. A more pronounced role for the supervisor seems appreciated by employees of all ages, although the specific interpretation varied between individuals and career stages. To preserve good working conditions and quality of work, it seems important to scrutinize the output requirements and tenure-based needs for employee supervision.
Perceptions of mental workload in Dutch university employees of different ages: a focus group study
2013-01-01
Background As academic workload seems to be increasing, many studies examined factors that contribute to the mental workload of academics. Age-related differences in work motives and intellectual ability may lead to differences in experienced workload and in the way employees experience work features. This study aims to obtain a better understanding of age differences in sources of mental workload. 33 academics from one faculty discussed causes of workload during focus group interviews, stratified by age. Findings Among our participants, the influence of ageing seems most evident in employees’ actions and reactions, while the causes of workload mentioned seemed largely similar. These individual reactions to workload may also be driven by differences in tenure. Most positively assessed work characteristics were: interaction with colleagues and students and autonomy. Aspects most often indicated as increasing the workload, were organisational aspects as obstacles for ‘getting the best out of people’ and the feeling that overtime seems unavoidable. Many employees indicated to feel stretched between the ‘greediness’ of the organisation and their own high working standards, and many fear to be assigned even less time for research if they do not meet the rigorous output criteria. Moreover, despite great efforts on their part, promotion opportunities seem limited. A more pronounced role for the supervisor seems appreciated by employees of all ages, although the specific interpretation varied between individuals and career stages. Conclusions To preserve good working conditions and quality of work, it seems important to scrutinize the output requirements and tenure-based needs for employee supervision. PMID:23506458
Impact of triage in accident and emergency departments in Bahrain.
Fateha, B E; Hamza, A Y
2001-01-01
We aimed to assess the impact of triage by physicians on the workload and expenditure of the Accident and Emergency (AE) Department of Salmaniya Medical Complex, Bahrain. We analysed three sets of data: patient visits to the AE Department over a 9-month period; patient visits 1 year previously; and forecast patient visits over 9 months starting from July 1999. The referral of patients to AE cubicles was reduced by 54.4% after the implementation of the triage, and reduction in the workload was statistically significant. The reduction in health care expenditure was estimated at between 15.3% and 17.3%. We conclude that triage by physicians can be cost-effective and can reduce the AE Department workload, freeing more time to manage life-threatening and urgent cases.
Stress and workload of men and women in high-ranking positions.
Lundberg, U; Frankenhaeuser, M
1999-04-01
Psychological and physiological stress responses related to work and family were investigated in 21 female and 21 male managers and professional specialists in high-ranking positions. The main result was that both women and men experienced their jobs as challenging and stimulating, although almost all data indicated a more favorable situation for men than for women. In addition, women were more stressed by their greater unpaid workload and by a greater responsibility for duties related to home and family. Women had higher norepinephrine levels than men did, both during and after work, which reflected their greater workload. Women with children at home had significantly higher norepinephrine levels after work than did the other participants. The possible long-term health consequences of women's higher stress levels are discussed.
A simulator study of the interaction of pilot workload with errors, vigilance, and decisions
NASA Technical Reports Server (NTRS)
Smith, H. P. R.
1979-01-01
A full mission simulation of a civil air transport scenario that had two levels of workload was used to observe the actions of the crews and the basic aircraft parameters and to record heart rates. The results showed that the number of errors was very variable among crews but the mean increased in the higher workload case. The increase in errors was not related to rise in heart rate but was associated with vigilance times as well as the days since the last flight. The recorded data also made it possible to investigate decision time and decision order. These also varied among crews and seemed related to the ability of captains to manage the resources available to them on the flight deck.
Orientations to Academic Workloads at Department Level
ERIC Educational Resources Information Center
Wolf, Amanda
2010-01-01
Universities confront many challenges in their efforts to manage staff activity with the aid of workload assessment and allocation systems. This article sets out fresh perspectives from an exploratory study designed to uncover patterns of subjective views about various aspects of workloads. Using Q methodology, academic staff in a single…
Lee, Gyusung I; Lee, Mija R
2018-01-01
While it is often claimed that virtual reality (VR) training system can offer self-directed and mentor-free skill learning using the system's performance metrics (PM), no studies have yet provided evidence-based confirmation. This experimental study investigated what extent to which trainees achieved their self-learning with a current VR simulator and whether additional mentoring improved skill learning, skill transfer and cognitive workloads in robotic surgery simulation training. Thirty-two surgical trainees were randomly assigned to either the Control-Group (CG) or Experiment-Group (EG). While the CG participants reviewed the PM at their discretion, the EG participants had explanations about PM and instructions on how to improve scores. Each subject completed a 5-week training using four simulation tasks. Pre- and post-training data were collected using both a simulator and robot. Peri-training data were collected after each session. Skill learning, time spent on PM (TPM), and cognitive workloads were compared between groups. After the simulation training, CG showed substantially lower simulation task scores (82.9 ± 6.0) compared with EG (93.2 ± 4.8). Both groups demonstrated improved physical model tasks performance with the actual robot, but the EG had a greater improvement in two tasks. The EG exhibited lower global mental workload/distress, higher engagement, and a better understanding regarding using PM to improve performance. The EG's TPM was initially long but substantially shortened as the group became familiar with PM. Our study demonstrated that the current VR simulator offered limited self-skill learning and additional mentoring still played an important role in improving the robotic surgery simulation training.
Huang, Yu-Li; Bryce, Alan H; Culbertson, Tracy; Connor, Sarah L; Looker, Sherry A; Altman, Kristin M; Collins, James G; Stellner, Winston; McWilliams, Robert R; Moreno-Aspitia, Alvaro; Ailawadhi, Sikander; Mesa, Ruben A
2018-02-01
Optimal scheduling and calendar management in an outpatient chemotherapy unit is a complex process that is driven by a need to focus on safety while accommodating a high degree of variability. Primary constraints are infusion times, staffing resources, chair availability, and unit hours. We undertook a process to analyze our existing management models across multiple practice settings in our health care system, then developed a model to optimize safety and efficiency. The model was tested in one of the community chemotherapy units. We assessed staffing violations as measured by nurse-to-patient ratios throughout the workday and at key points during treatment. Staffing violations were tracked before and after the implementation of the new model. The new model reduced staffing violations by nearly 50% and required fewer chairs to treat the same number of patients for the selected clinic day. Actual implementation results indicated that the new model leveled the distribution of patients across the workday with an 18% reduction in maximum chair utilization and a 27% reduction in staffing violations. Subsequently, a positive impact on peak pharmacy workload reduced delays by as much as 35 minutes. Nursing staff satisfaction with the new model was positive. We conclude that the proposed optimization approach with regard to nursing resource assignment and workload balance throughout a day effectively improves patient service quality and staff satisfaction.
Challenging data and workload management in CMS Computing with network-aware systems
NASA Astrophysics Data System (ADS)
D, Bonacorsi; T, Wildish
2014-06-01
After a successful first run at the LHC, and during the Long Shutdown (LS1) of the accelerator, the workload and data management sectors of the CMS Computing Model are entering into an operational review phase in order to concretely assess area of possible improvements and paths to exploit new promising technology trends. In particular, since the preparation activities for the LHC start, the Networks have constantly been of paramount importance for the execution of CMS workflows, exceeding the original expectations - as from the MONARC model - in terms of performance, stability and reliability. The low-latency transfers of PetaBytes of CMS data among dozens of WLCG Tiers worldwide using the PhEDEx dataset replication system is an example of the importance of reliable Networks. Another example is the exploitation of WAN data access over data federations in CMS. A new emerging area of work is the exploitation of Intelligent Network Services, including also bandwidth on demand concepts. In this paper, we will review the work done in CMS on this, and the next steps.
Time management for case managers--so much work, so little time.
Cesta, Toni
2014-08-01
The world of a case manager is a busy one, and you may not have all the resources you need each and every day. If you can maintain a routine it will make the workload more manageable for you and will allow room for those surprises that invariably happen. Whether you are a new or a seasoned case manager, organizing your workload can always help smooth out the rough edges in anyone's hectic day!
Relation Between Physicians' Work Lives and Happiness.
Eckleberry-Hunt, Jodie; Kirkpatrick, Heather; Taku, Kanako; Hunt, Ronald; Vasappa, Rashmi
2016-04-01
Although we know much about work-related physician burnout and the subsequent negative effects, we do not fully understand work-related physician wellness. Likewise, the relation of wellness and burnout to physician happiness is unclear. The purpose of this study was to examine how physician burnout and wellness contribute to happiness. We sampled 2000 full-time physician members of the American Academy of Family Physicians. Respondents completed a demographics questionnaire, questions about workload, the Physician Wellness Inventory, the Maslach Burnout Inventory, and the Subjective Happiness Scale. We performed a hierarchical regression analysis with the burnout and wellness subscales as predictor variables and physician happiness as the outcome variable. Our response rate was 22%. Career purpose, personal accomplishment, and perception of workload manageability had significant positive correlations with physician happiness. Distress had a significant negative correlation with physician happiness. A sense of career meaning and accomplishment, along with a lack of distress, are important factors in determining physician happiness. The number of hours a physician works is not related to happiness, but the perceived ability to manage workload was significantly related to happiness. Wellness-promotion efforts could focus on assisting physicians with skills to manage the workload by eliminating unnecessary tasks or sharing workload among team members, improving feelings of work accomplishment, improving career satisfaction and meaning, and managing distress related to patient care.
ERIC Educational Resources Information Center
Massachusetts State Legislature, Boston. Senate Committee on Post Audit and Oversight.
This Massachusetts Senate committee study examined the current policies and procedures used by the University of Massachusetts at Amherst (UMA) to monitor, manage, and report on the activities of its faculty, in particular its faculty workload. The study had originally intended to analyze faculty workload in terms of instruction (teaching),…
Task sharing in Zambia: HIV service scale-up compounds the human resource crisis.
Walsh, Aisling; Ndubani, Phillimon; Simbaya, Joseph; Dicker, Patrick; Brugha, Ruairí
2010-09-17
Considerable attention has been given by policy makers and researchers to the human resources for health crisis in Africa. However, little attention has been paid to quantifying health facility-level trends in health worker numbers, distribution and workload, despite growing demands on health workers due to the availability of new funds for HIV/AIDS control scale-up. This study analyses and reports trends in HIV and non-HIV ambulatory service workloads on clinical staff in urban and rural district level facilities. Structured surveys of health facility managers, and health services covering 2005-07 were conducted in three districts of Zambia in 2008 (two urban and one rural), to fill this evidence gap. Intra-facility analyses were conducted, comparing trends in HIV and non-HIV service utilisation with staff trends. Clinical staff (doctors, nurses and nurse-midwives, and clinical officers) numbers and staff population densities fell slightly, with lower ratios of staff to population in the rural district. The ratios of antenatal care and family planning registrants to nurses/nurse-midwives were highest at baseline and increased further at the rural facilities over the three years, while daily outpatient department (OPD) workload in urban facilities fell below that in rural facilities. HIV workload, as measured by numbers of clients receiving antiretroviral treatment (ART) and prevention of mother to child transmission (PMTCT) per facility staff member, was highest in the capital city, but increased rapidly in all three districts. The analysis suggests evidence of task sharing, in that staff designated by managers as ART and PMTCT workers made up a higher proportion of frontline service providers by 2007. This analysis of workforce patterns across 30 facilities in three districts of Zambia illustrates that the remarkable achievements in scaling-up HIV/AIDS service delivery has been on the back of sustained non-HIV workload levels, increasing HIV workload and stagnant health worker numbers. The findings are based on an analysis of routine data that are available to district and national managers. Mixed methods research is needed, combining quantitative analyses of routine health information with follow-up qualitative interviews, to explore and explain workload changes, and to identify and measure where problems are most acute, so that decision makers can respond appropriately. This study provides quantitative evidence of a human resource crisis in health facilities in Zambia, which may be more acute in rural areas.
Liu, Zhian; Zhang, Ming; Xu, Gongcheng; Huo, Congcong; Tan, Qitao; Li, Zengyong; Yuan, Quan
2017-01-01
Driving a vehicle is a complex activity that requires high-level brain functions. This study aimed to assess the change in effective connectivity (EC) between the prefrontal cortex (PFC), motor-related areas (MA) and vision-related areas (VA) in the brain network among the resting, simple-driving and car-following states. Twelve young male right-handed adults were recruited to participate in an actual driving experiment. The brain delta [HbO2] signals were continuously recorded using functional near infrared spectroscopy (fNIRS) instruments. The conditional Granger causality (GC) analysis, which is a data-driven method that can explore the causal interactions among different brain areas, was performed to evaluate the EC. The results demonstrated that the hemodynamic activity level of the brain increased with an increase in the cognitive workload. The connection strength among PFC, MA and VA increased from the resting state to the simple-driving state, whereas the connection strength relatively decreased during the car-following task. The PFC in EC appeared as the causal target, while the MA and VA appeared as the causal sources. However, l-MA turned into causal targets with the subtask of car-following. These findings indicate that the hemodynamic activity level of the cerebral cortex increases linearly with increasing cognitive workload. The EC of the brain network can be strengthened by a cognitive workload, but also can be weakened by a superfluous cognitive workload such as driving with subtasks. PMID:29163083
Principles for problem aggregation and assignment in medium scale multiprocessors
NASA Technical Reports Server (NTRS)
Nicol, David M.; Saltz, Joel H.
1987-01-01
One of the most important issues in parallel processing is the mapping of workload to processors. This paper considers a large class of problems having a high degree of potential fine grained parallelism, and execution requirements that are either not predictable, or are too costly to predict. The main issues in mapping such a problem onto medium scale multiprocessors are those of aggregation and assignment. We study a method of parameterized aggregation that makes few assumptions about the workload. The mapping of aggregate units of work onto processors is uniform, and exploits locality of workload intensity to balance the unknown workload. In general, a finer aggregate granularity leads to a better balance at the price of increased communication/synchronization costs; the aggregation parameters can be adjusted to find a reasonable granularity. The effectiveness of this scheme is demonstrated on three model problems: an adaptive one-dimensional fluid dynamics problem with message passing, a sparse triangular linear system solver on both a shared memory and a message-passing machine, and a two-dimensional time-driven battlefield simulation employing message passing. Using the model problems, the tradeoffs are studied between balanced workload and the communication/synchronization costs. Finally, an analytical model is used to explain why the method balances workload and minimizes the variance in system behavior.
Van Bogaert, Peter; Clarke, Sean; Willems, Riet; Mondelaers, Mieke
2013-07-01
To study the relationships between nurse practice environment, workload, burnout, job outcomes and nurse-reported quality of care in psychiatric hospital staff. Nurses' practice environments in general hospitals have been extensively investigated. Potential variations across practice settings, for instance in psychiatric hospitals, have been much less studied. A cross-sectional design with a survey. A structural equation model previously tested in acute hospitals was evaluated using survey data from a sample of 357 registered nurses, licensed practical nurses, and non-registered caregivers from two psychiatric hospitals in Belgium between December 2010-April 2011. The model included paths between practice environment dimensions and outcome variables, with burnout in a mediating position. A workload measure was also tested as a potential mediator between the practice environment and outcome variables. An improved model, slightly modified from the one validated earlier in samples of acute care nurses, was confirmed. This model explained 50% and 38% of the variance in job outcomes and nurse-reported quality of care respectively. In addition, workload was found to play a mediating role in accounting for job outcomes and significantly improved a model that ultimately explained 60% of the variance in these variables. In psychiatric hospitals as in general hospitals, nurse-physician relationship and other organizational dimensions such as nursing and hospital management were closely associated with perceptions of workload and with burnout and job satisfaction, turnover intentions, and nurse-reported quality of care. Mechanisms linking key variables and differences across settings in these relationships merit attention by managers and researchers. © 2012 Blackwell Publishing Ltd.
Multi-Attribute Task Battery - Applications in pilot workload and strategic behavior research
NASA Technical Reports Server (NTRS)
Arnegard, Ruth J.; Comstock, J. R., Jr.
1991-01-01
The Multi-Attribute Task (MAT) Battery provides a benchmark set of tasks for use in a wide range of lab studies of operator performance and workload. The battery incorporates tasks analogous to activities that aircraft crewmembers perform in flight, while providing a high degree of experimenter control, performance data on each subtask, and freedom to nonpilot test subjects. Features not found in existing computer based tasks include an auditory communication task (to simulate Air Traffic Control communication), a resource management task permitting many avenues or strategies of maintaining target performance, a scheduling window which gives the operator information about future task demands, and the option of manual or automated control of tasks. Performance data are generated for each subtask. In addition, the task battery may be paused and onscreen workload rating scales presented to the subject. The MAT Battery requires a desktop computer with color graphics. The communication task requires a serial link to a second desktop computer with a voice synthesizer or digitizer card.
The multi-attribute task battery for human operator workload and strategic behavior research
NASA Technical Reports Server (NTRS)
Comstock, J. Raymond, Jr.; Arnegard, Ruth J.
1992-01-01
The Multi-Attribute Task (MAT) Battery provides a benchmark set of tasks for use in a wide range of lab studies of operator performance and workload. The battery incorporates tasks analogous to activities that aircraft crewmembers perform in flight, while providing a high degree of experimenter control, performance data on each subtask, and freedom to use nonpilot test subjects. Features not found in existing computer based tasks include an auditory communication task (to simulate Air Traffic Control communication), a resource management task permitting many avenues or strategies of maintaining target performance, a scheduling window which gives the operator information about future task demands, and the option of manual or automated control of tasks. Performance data are generated for each subtask. In addition, the task battery may be paused and onscreen workload rating scales presented to the subject. The MAT Battery requires a desktop computer with color graphics. The communication task requires a serial link to a second desktop computer with a voice synthesizer or digitizer card.
Workflow Management Systems for Molecular Dynamics on Leadership Computers
NASA Astrophysics Data System (ADS)
Wells, Jack; Panitkin, Sergey; Oleynik, Danila; Jha, Shantenu
Molecular Dynamics (MD) simulations play an important role in a range of disciplines from Material Science to Biophysical systems and account for a large fraction of cycles consumed on computing resources. Increasingly science problems require the successful execution of ''many'' MD simulations as opposed to a single MD simulation. There is a need to provide scalable and flexible approaches to the execution of the workload. We present preliminary results on the Titan computer at the Oak Ridge Leadership Computing Facility that demonstrate a general capability to manage workload execution agnostic of a specific MD simulation kernel or execution pattern, and in a manner that integrates disparate grid-based and supercomputing resources. Our results build upon our extensive experience of distributed workload management in the high-energy physics ATLAS project using PanDA (Production and Distributed Analysis System), coupled with recent conceptual advances in our understanding of workload management on heterogeneous resources. We will discuss how we will generalize these initial capabilities towards a more production level service on DOE leadership resources. This research is sponsored by US DOE/ASCR and used resources of the OLCF computing facility.
Lu, Sara A; Wickens, Christopher D; Prinet, Julie C; Hutchins, Shaun D; Sarter, Nadine; Sebok, Angelia
2013-08-01
The aim of this study was to integrate empirical data showing the effects of interrupting task modality on the performance of an ongoing visual-manual task and the interrupting task itself. The goal is to support interruption management and the design of multimodal interfaces. Multimodal interfaces have been proposed as a promising means to support interruption management.To ensure the effectiveness of this approach, their design needs to be based on an analysis of empirical data concerning the effectiveness of individual and redundant channels of information presentation. Three meta-analyses were conducted to contrast performance on an ongoing visual task and interrupting tasks as a function of interrupting task modality (auditory vs. tactile, auditory vs. visual, and single modality vs. redundant auditory-visual). In total, 68 studies were included and six moderator variables were considered. The main findings from the meta-analyses are that response times are faster for tactile interrupting tasks in case of low-urgency messages.Accuracy is higher with tactile interrupting tasks for low-complexity signals but higher with auditory interrupting tasks for high-complexity signals. Redundant auditory-visual combinations are preferable for communication tasks during high workload and with a small visual angle of separation. The three meta-analyses contribute to the knowledge base in multimodal information processing and design. They highlight the importance of moderator variables in predicting the effects of interruption task modality on ongoing and interrupting task performance. The findings from this research will help inform the design of multimodal interfaces in data-rich, event-driven domains.
Psychophysical workload in the operating room: primary surgeon versus assistant.
Rieger, Annika; Fenger, Sebastian; Neubert, Sebastian; Weippert, Matthias; Kreuzfeld, Steffi; Stoll, Regina
2015-07-01
Working in the operating room is characterized by high demands and overall workload of the surgical team. Surgeons often report that they feel more stressed when operating as a primary surgeon than in the function as an assistant which has been confirmed in recent studies. In this study, intra-individual workload was assessed in both intraoperative functions using a multidimensional approach that combined objective and subjective measures in a realistic work setting. Surgeons' intraoperative psychophysiologic workload was assessed through a mobile health system. 25 surgeons agreed to take part in the 24-hour monitoring by giving their written informed consent. The mobile health system contained a sensor electronic module integrated in a chest belt and measuring physiological parameters such as heart rate (HR), breathing rate (BR), and skin temperature. Subjective workload was assessed pre- and postoperatively using an electronic version of the NASA-TLX on a smartphone. The smartphone served as a communication unit and transferred objective and subjective measures to a communication server where data were stored and analyzed. Working as a primary surgeon did not result in higher workload. Neither NASA-TLX ratings nor physiological workload indicators were related to intraoperative function. In contrast, length of surgeries had a significant impact on intraoperative physical demands (p < 0.05; η(2) = 0.283), temporal demands (p < 0.05; η(2) = 0.260), effort (p < 0.05; η(2) = 0.287), and NASA-TLX sum score (p < 0.01; η(2) = 0.287). Intra-individual workload differences do not relate to intraoperative role of surgeons when length of surgery is considered as covariate. An intelligent operating management that considers the length of surgeries by implementing short breaks could contribute to the optimization of intraoperative workload and the preservation of surgeons' health, respectively. The value of mobile health systems for continuous psychophysiologic workload assessment was shown.
Cockpit resource management skills enhance combat mission performance in a B-52 simulator
NASA Technical Reports Server (NTRS)
Povenmire, H. Kingsley; Rockway, Marty R.; Bunecke, Joseph L.; Patton, Mark W.
1989-01-01
A cockpit resource management (CRM) program for mission-ready B-52 aircrew is developed. The relationship between CRM performance and combat mission performance is studied. The performances of six crew members flying a simulated high workload mission in a B-52 weapon system trainer are evaluated. The data reveal that CRM performance enhances tactical maneuvers and bombing accuracy.
De Feo, G; De Gisi, S; Galasso, M
2013-01-01
The aim of the present study is to define a simple (and easy to use) method to equalize the workload of personnel operating several small wastewater treatment plants (SWWTPs). The approach is illustrated through a case study which is the result of collaboration between researchers and a water and wastewater management company operating in Southern Italy. The topic is important since personnel have a significant impact on the operating costs of SWWTPs, and the approach outlined results in the minimum number of staff being required to assure the management of the service. Four kinds of work units are considered: plant managers, assistant plant managers, laboratory technicians and executives. In order to develop a practical, feasible and easy to use method, the workload was evaluated considering only the population equivalent (PE) and the number of plants managed. The core of the method is the evaluation of the percentage of time that the personnel units devote to the operation of SWWTPs of the municipality considered. The proposed procedure offers a useful tool to equalize the workload, both in terms of PE and the number of plants managed, the procedure being easily modifiable to introduce other evaluation criteria. By using familiar concepts such as PE and number of plants managed, the approach of the method can easily be understood by management. It can also be readily adapted to other similar situations.
Pathologists' roles in clinical utilization management. A financing model for managed care.
Zhao, J J; Liberman, A
2000-03-01
In ancillary or laboratory utilization management, the roles of pathologists have not been explored fully in managed care systems. Two possible reasons may account for this: pathologists' potential contributions have not been defined clearly, and effective measurement of and reasonable compensation for the pathologist's contribution remains vague. The responsibilities of pathologists in clinical practice may include clinical pathology and laboratory services (which have long been well-defined and are compensated according to a resource-based relative value system-based coding system), laboratory administration, clinical utilization management, and clinical research. Although laboratory administration services have been compensated with mechanisms such as percentage of total service revenue or fixed salary, the involvement of pathologists seems less today than in the past, owing to increased clinical workload and time constraints in an expanding managed care environment, especially in community hospital settings. The lack of financial incentives or appropriate compensation mechanisms for the services likely accounts for the current situation. Furthermore, the importance of pathologist-driven utilization management in laboratory services lacks recognition among hospital administrators, managed care executives, and pathologists themselves, despite its potential benefits for reducing cost and enhancing quality of care. We propose a financial compensation model for such services and summarize its advantages.
Ross-Walker, Cheryl; Rogers-Clark, Cath; Pearce, Susanne
Nursing workload is an issue that effects both the recruitment and retention of nurses, and patient safety. Historically, measurement has focussed on the delivery of direct patient care and excluded workload of facilitating hands-on care and supporting the organisation via duties that reflect organisation cultural and climate needs. Qualitative research is appropriate to understand this complexity. To determine the best available evidence in relation to registered nurses experiences of workplace cultural and climatic factors that influence nursing workloads, in an acute health care setting. This review sought high quality studies which explored registered nurses' experiences of the influence of cultural and climatic factors on their workloads. Qualitative research studies and opinion-based text were considered. An extensive search of the literature was conducted to identify published and unpublished studies between January 1990 and June 2011 in English, and indexed in the following databases: CINAHL, Medline, Medline-In Process, PsychINFO, Emerald, Current Contents, TRIP, JSTOR Nursing Consult Psychology & Behavioural Sciences collections, Emerald Management Reviews, Emerald Full Text Journals, Embase, Dissertation Abstracts, ERIC, Proquest and MedNar, EBSCOhost, Science Direct, Wiley Interscience. Two independent reviewers (CRW and CRC), using appraisal tools from the Joanna Briggs Institute (JBI), assessed fifteen articles; one was excluded. Data were extracted from included papers using standardised tools developed by the JBI. Data from qualitative studies and textual/opinion papers were meta-synthesised separately using standardised instruments. Data synthesis involved the pooling of findings, then grouped into categories on the basis of similarity of meaning. The categories were further aggregated into synthesised findings. 14 papers were identified as high quality and meeting the inclusion criteria. 81 findings were identified from the 10 qualitative research papers and 39 conclusions from the 4 text/ opinion papers. While the research and non research evidence was analysed separately, both sets of evidence gave the same synthesised findings. The qualitative research findings were grouped into eight categories and textual data into six categories; all textual categories were also identified in the qualitative synthesis. These categories were aggregated into two synthesised findings. Nursing workloads are influenced by the largely immeasurable cultural factors within hospital environments. These factors signify 'how we do things around here'. Organisational climate influences nursing workloads because of inter-professional relationships, clinical governance, workplace support, non-nursing duties, organisational structure and organisation, work redesign, workflow and diversity within nursing roles. The component of registered nurses' workloads that are not patient-care should be recognised. Reviewing nursing roles to remove unnecessary work unrelated to patient care would positively influence nursing workloads, giving time for cognitive workload and clinical education and mentorship. Further qualitative research should explore the complexity of clinical nurses' roles in a diversity of settings, to address the responsibilities that registered nurses routinely assume, but which do not involve direct patient care. New workload models, which capture the non-measurable aspects of a registered nurse's role, should be developed and evaluated.
ERIC Educational Resources Information Center
Vardi, Iris
2009-01-01
Increasing demands on academic work have resulted in many academics working long hours and expressing dissatisfaction with their working life. These concerns have led to a number of faculties and universities adopting workload allocation models to improve satisfaction and better manage workloads. This paper reports on a study which examined the…
Assessing Continuous Operator Workload With a Hybrid Scaffolded Neuroergonomic Modeling Approach.
Borghetti, Brett J; Giametta, Joseph J; Rusnock, Christina F
2017-02-01
We aimed to predict operator workload from neurological data using statistical learning methods to fit neurological-to-state-assessment models. Adaptive systems require real-time mental workload assessment to perform dynamic task allocations or operator augmentation as workload issues arise. Neuroergonomic measures have great potential for informing adaptive systems, and we combine these measures with models of task demand as well as information about critical events and performance to clarify the inherent ambiguity of interpretation. We use machine learning algorithms on electroencephalogram (EEG) input to infer operator workload based upon Improved Performance Research Integration Tool workload model estimates. Cross-participant models predict workload of other participants, statistically distinguishing between 62% of the workload changes. Machine learning models trained from Monte Carlo resampled workload profiles can be used in place of deterministic workload profiles for cross-participant modeling without incurring a significant decrease in machine learning model performance, suggesting that stochastic models can be used when limited training data are available. We employed a novel temporary scaffold of simulation-generated workload profile truth data during the model-fitting process. A continuous workload profile serves as the target to train our statistical machine learning models. Once trained, the workload profile scaffolding is removed and the trained model is used directly on neurophysiological data in future operator state assessments. These modeling techniques demonstrate how to use neuroergonomic methods to develop operator state assessments, which can be employed in adaptive systems.
Federated data storage and management infrastructure
NASA Astrophysics Data System (ADS)
Zarochentsev, A.; Kiryanov, A.; Klimentov, A.; Krasnopevtsev, D.; Hristov, P.
2016-10-01
The Large Hadron Collider (LHC)’ operating at the international CERN Laboratory in Geneva, Switzerland, is leading Big Data driven scientific explorations. Experiments at the LHC explore the fundamental nature of matter and the basic forces that shape our universe. Computing models for the High Luminosity LHC era anticipate a growth of storage needs of at least orders of magnitude; it will require new approaches in data storage organization and data handling. In our project we address the fundamental problem of designing of architecture to integrate a distributed heterogeneous disk resources for LHC experiments and other data- intensive science applications and to provide access to data from heterogeneous computing facilities. We have prototyped a federated storage for Russian T1 and T2 centers located in Moscow, St.-Petersburg and Gatchina, as well as Russian / CERN federation. We have conducted extensive tests of underlying network infrastructure and storage endpoints with synthetic performance measurement tools as well as with HENP-specific workloads, including the ones running on supercomputing platform, cloud computing and Grid for ALICE and ATLAS experiments. We will present our current accomplishments with running LHC data analysis remotely and locally to demonstrate our ability to efficiently use federated data storage experiment wide within National Academic facilities for High Energy and Nuclear Physics as well as for other data-intensive science applications, such as bio-informatics.
Associations between attending physician workload, teaching effectiveness, and patient safety.
Wingo, Majken T; Halvorsen, Andrew J; Beckman, Thomas J; Johnson, Matthew G; Reed, Darcy A
2016-03-01
Prior studies suggest that high workload among attending physicians may be associated with reduced teaching effectiveness and poor patient outcomes, but these relationships have not been investigated using objective measures of workload and safety. To examine associations between attending workload, teaching effectiveness, and patient safety, hypothesizing that higher workload would be associated with lower teaching effectiveness and negative patient outcomes. We conducted a retrospective study of 69,386 teaching evaluation items submitted by 543 internal medicine residents for 107 attending physicians who supervised inpatient teaching services from July 2, 2005 to July 1, 2011. Attending workload measures included hospital service census, patient length of stay, daily admissions, daily discharges, and concurrent outpatient duties. Teaching effectiveness was measured using residents' evaluations of attendings. Patient outcomes considered were applicable patient safety indicators (PSIs), intensive care unit transfers, cardiopulmonary resuscitation/rapid response team calls, and patient deaths. Mixed linear models and generalized linear regression models were used for statistical analysis. Workload measures of midnight census and daily discharges were associated with lower teaching evaluation scores (both β = -0.026, P < 0.0001). The number of daily admissions was associated with higher teaching scores (β = 0.021, P = 0.001) and increased PSIs (odds ratio = 1.81, P = 0.0001). Several measures of attending physician workload were associated with slightly lower teaching effectiveness, and patient safety may be compromised when teams are managing new admissions. Ongoing efforts by residency programs to optimize the learning environment should include strategies to manage the workload of supervising attendings. © 2016 Society of Hospital Medicine.
Single-Pilot Workload Management
NASA Technical Reports Server (NTRS)
Rogers, Jason; Williams, Kevin; Hackworth, Carla; Burian, Barbara; Pruchnicki, Shawn; Christopher, Bonny; Drechsler, Gena; Silverman, Evan; Runnels, Barry; Mead, Andy
2013-01-01
Integrated glass cockpit systems place a heavy cognitive load on pilots (Burian Dismukes, 2007). Researchers from the NASA Ames Flight Cognition Lab and the FAA Flight Deck Human Factors Lab examined task and workload management by single pilots. This poster describes pilot performance regarding programming a reroute while at cruise and meeting a waypoint crossing restriction on the initial descent.
FY17 ASC CSSE L2 Milestone 6018: Power Usage Characteristics of Workloads Running on Trinity.
DOE Office of Scientific and Technical Information (OSTI.GOV)
Pedretti, Kevin
The overall goal of this work was to utilize the Advanced Power Management (APM) capabilities of the ATS-1 Trinity platform to understand the power usage behavior of ASC workloads running on Trinity and gain insight into the potential for utilizing power management techniques on future ASC platforms.
Single-Pilot Workload Management in Entry-Level Jets
2013-09-01
under Instrument Flight Rules ( IFR ) in a Cessna Citation Mustang ELJ level 5 flight training device at CAMI. Eight of the pilots were Mustang owner...Instrument Landing System IFR ............Instrument Flight Rules IMC ...........Instrument Meteorological Conditions ISA...pilots flew an experimental flight with two legs involving high workload management under Instrument Flight Rules ( IFR ) in a Cessna Citation Mustang
Building an Ontology-driven Database for Clinical Immune Research
Ma, Jingming
2006-01-01
The clinical researches of immune response usually generate a huge amount of biomedical testing data over a certain period of time. The user-friendly data management systems based on the relational database will help immunologists/clinicians to fully manage the data. On the other hand, the same biological assays such as ELISPOT and flow cytometric assays are involved in immunological experiments no matter of different study purposes. The reuse of biological knowledge is one of driving forces behind this ontology-driven data management. Therefore, an ontology-driven database will help to handle different clinical immune researches and help immunologists/clinicians easily understand the immunological data from each other. We will discuss some outlines for building an ontology-driven data management for clinical immune researches (ODMim). PMID:17238637
Next Generation Workload Management and Analysis System for Big Data
DOE Office of Scientific and Technical Information (OSTI.GOV)
De, Kaushik
We report on the activities and accomplishments of a four-year project (a three-year grant followed by a one-year no cost extension) to develop a next generation workload management system for Big Data. The new system is based on the highly successful PanDA software developed for High Energy Physics (HEP) in 2005. PanDA is used by the ATLAS experiment at the Large Hadron Collider (LHC), and the AMS experiment at the space station. The program of work described here was carried out by two teams of developers working collaboratively at Brookhaven National Laboratory (BNL) and the University of Texas at Arlingtonmore » (UTA). These teams worked closely with the original PanDA team – for the sake of clarity the work of the next generation team will be referred to as the BigPanDA project. Their work has led to the adoption of BigPanDA by the COMPASS experiment at CERN, and many other experiments and science projects worldwide.« less
Comparison of Procedures for Dual and Triple Closely Spaced Parallel Runways
NASA Technical Reports Server (NTRS)
Verma, Savita; Ballinger, Deborah; Subramanian Shobana; Kozon, Thomas
2012-01-01
A human-in-the-loop high fidelity flight simulation experiment was conducted, which investigated and compared breakout procedures for Very Closely Spaced Parallel Approaches (VCSPA) with two and three runways. To understand the feasibility, usability and human factors of two and three runway VCSPA, data were collected and analyzed on the dependent variables of breakout cross track error and pilot workload. Independent variables included number of runways, cause of breakout and location of breakout. Results indicated larger cross track error and higher workload using three runways as compared to 2-runway operations. Significant interaction effects involving breakout cause and breakout location were also observed. Across all conditions, cross track error values showed high levels of breakout trajectory accuracy and pilot workload remained manageable. Results suggest possible avenues of future adaptation for adopting these procedures (e.g., pilot training), while also showing potential promise of the concept.
Li, Xiangyu; Xie, Nijie; Tian, Xinyue
2017-01-01
This paper proposes a scheduling and power management solution for energy harvesting heterogeneous multi-core WSN node SoC such that the system continues to operate perennially and uses the harvested energy efficiently. The solution consists of a heterogeneous multi-core system oriented task scheduling algorithm and a low-complexity dynamic workload scaling and configuration optimization algorithm suitable for light-weight platforms. Moreover, considering the power consumption of most WSN applications have the characteristic of data dependent behavior, we introduce branches handling mechanism into the solution as well. The experimental result shows that the proposed algorithm can operate in real-time on a lightweight embedded processor (MSP430), and that it can make a system do more valuable works and make more than 99.9% use of the power budget. PMID:28208730
Li, Xiangyu; Xie, Nijie; Tian, Xinyue
2017-02-08
This paper proposes a scheduling and power management solution for energy harvesting heterogeneous multi-core WSN node SoC such that the system continues to operate perennially and uses the harvested energy efficiently. The solution consists of a heterogeneous multi-core system oriented task scheduling algorithm and a low-complexity dynamic workload scaling and configuration optimization algorithm suitable for light-weight platforms. Moreover, considering the power consumption of most WSN applications have the characteristic of data dependent behavior, we introduce branches handling mechanism into the solution as well. The experimental result shows that the proposed algorithm can operate in real-time on a lightweight embedded processor (MSP430), and that it can make a system do more valuable works and make more than 99.9% use of the power budget.
2016-01-01
Moving Target Indicator, Unmanned Aircraft System (UAS), Rivet Joint, U-2, and ground signals intelligence (PROPHET). At the BCT, Ranger Regiment and... metadata catalog managed by the DIB management office (outside of the DCGS-A system ). A metadata is a searchable description of data, and users across...challenge for users . The system required reboots about every 20 hours for users who had heavy workloads such as the fire support analysts and data
Workloads in Australian emergency departments a descriptive study.
Lyneham, Joy; Cloughessy, Liz; Martin, Valmai
2008-07-01
This study aimed to identify the current workload of clinical nurses, managers and educators in Australian Emergency Departments according to the classification of the department Additionally the relationship of experienced to inexperienced clinical staff was examined. A descriptive research method utilising a survey distributed to 394 Australian Emergency departments with a 21% response rate. Nursing workloads were calculated and a ratio of nurse to patient was established. The ratios included nurse to patient, management and educators to clinical staff. Additionally the percentage of junior to senior clinical staff was also calculated. Across all categories of emergency departments the mean nurse:patient ratios were 1:15 (am shift), 1:7 (pm shift) and 1:4 (night shift). During this period an average of 17.1% of attendances were admitted to hospital. There were 27 staff members for each manager and 23.3 clinical staff for each educator. The percentage of junior staff rostered ranged from 10% to 38%. Emergency nurses cannot work under such pressure as it may compromise the care given to patients and consequently have a negative effect on the nurse personally. However, emergency nurses are dynamically adjusting to the workload. Such conditions as described in this study could give rise to burnout and attrition of experienced emergency nurses as they cannot resolve the conflict between workload and providing quality nursing care.
Spikes in acute workload are associated with increased injury risk in elite cricket fast bowlers.
Hulin, Billy T; Gabbett, Tim J; Blanch, Peter; Chapman, Paul; Bailey, David; Orchard, John W
2014-04-01
To determine if the comparison of acute and chronic workload is associated with increased injury risk in elite cricket fast bowlers. Data were collected from 28 fast bowlers who completed a total of 43 individual seasons over a 6-year period. Workloads were estimated by summarising the total number of balls bowled per week (external workload), and by multiplying the session rating of perceived exertion by the session duration (internal workload). One-week data (acute workload), together with 4-week rolling average data (chronic workload), were calculated for external and internal workloads. The size of the acute workload in relation to the chronic workload provided either a negative or positive training-stress balance. A negative training-stress balance was associated with an increased risk of injury in the week after exposure, for internal workload (relative risk (RR)=2.2 (CI 1.91 to 2.53), p=0.009), and external workload (RR=2.1 (CI 1.81 to 2.44), p=0.01). Fast bowlers with an internal workload training-stress balance of greater than 200% had a RR of injury of 4.5 (CI 3.43 to 5.90, p=0.009) compared with those with a training-stress balance between 50% and 99%. Fast bowlers with an external workload training-stress balance of more than 200% had a RR of injury of 3.3 (CI 1.50 to 7.25, p=0.033) in comparison to fast bowlers with an external workload training-stress balance between 50% and 99%. These findings demonstrate that large increases in acute workload are associated with increased injury risk in elite cricket fast bowlers.
Gregório, João; Cavaco, Afonso Miguel; Lapão, Luís Velez
Primary health care disease management models are rooted in multidisciplinary participation; however, implementation of services is lagging behind desires and predictions. Barriers like workload and lack of demand have been described. The aim of this research is to observe the workload and work patterns of Portuguese community pharmacists, and relate it with the demand of pharmaceutical services. A time-and-motion observational study was performed to describe community pharmacists' workload in a sample of four pharmacies in the metropolitan Lisbon area. A reference list of activities to be observed was developed by reviewing other studies of community pharmacy work. This study took place during a weekday's 8-h shift, focusing on pharmacists' activities. Data to be collected included the type and duration of the activity, who performed it and where. To estimate the demand of pharmaceutical care services, "thematic-patient scenarios" were developed. These scenarios were based on the defined daily dose and package size of the most consumed medicines in Portugal, combined with data obtained from the four pharmacies' information systems on the day the observational study took place. Between 67.0% and 81.8% of the registered activities were pharmacist-patient interactions. These interactions summed 158.44 min, with a mean duration of 3.98 min per interaction. On average, participant pharmacies' professionals handled 4.2 prescriptions and 0.9 over-the-counter (OTC) consultations per hour. About one third of the day was spent performing administrative and non-differentiated tasks. About 54.92 min were registered as free time, 50% of which were "micro pauses" with 1 min or less. The most dispensed therapeutic subgroup was antihypertensive drugs, while the dispensation of antidiabetics was characterized by a high number of packages sold per interaction. From the developed scenarios, one can estimate that a chronic patient may visit the pharmacy 4-9 times per year, depending on the condition presented. Workload results are very similar to findings from studies in other countries, which may be an indication of uniformity of community pharmacy practice across countries. The amount of time a pharmacist has at the counter to interact with a patient during a year renders disease management or therapeutic management non-viable. Also, the perception of "lack of time," many times reported as a barrier for service provision, must be called into question, since substantial available time was found. However, to turn this available time into usable time, redesign of work processes and new role definition are necessary. Both better management and new communication channels should be developed to address this gap and increase patient follow-up services. Copyright © 2016 Elsevier Inc. All rights reserved.
Low External Workloads Are Related to Higher Injury Risk in Professional Male Basketball Games
Caparrós, Toni; Casals, Martí; Solana, Álvaro; Peña, Javier
2018-01-01
The primary purpose of this study was to identify potential risk factors for sports injuries in professional basketball. An observational retrospective cohort study involving a male professional basketball team, using game tracking data was conducted during three consecutive seasons. Thirty-three professional basketball players took part in this study. A total of 29 time-loss injuries were recorded during regular season games, accounting for 244 total missed games with a mean of 16.26 ± 15.21 per player and season. The tracking data included the following variables: minutes played, physiological load, physiological intensity, mechanical load, mechanical intensity, distance covered, walking maximal speed, maximal speed, sprinting maximal speed, maximal speed, average offensive speed, average defensive speed, level one acceleration, level two acceleration, level three acceleration, level four acceleration, level one deceleration, level two deceleration, level three deceleration, level four deceleration, player efficiency rating and usage percentage. The influence of demographic characteristics, tracking data and performance factors on the risk of injury was investigated using multivariate analysis with their incidence rate ratios (IRRs). Athletes with less or equal than 3 decelerations per game (IRR, 4.36; 95% CI, 1.78-10.6) and those running less or equal than 1.3 miles per game (lower workload) (IRR, 6.42 ; 95% CI, 2.52-16.3) had a higher risk of injury during games (p < 0.01 in both cases). Therefore, unloaded players have a higher risk of injury. Adequate management of training loads might be a relevant factor to reduce the likelihood of injury according to individual profiles. Key points The number of decelerations and the total distance can be considered risk factors for injuries in professional basketball players. Unloaded players have greater risk of injury compared to players with higher accumulated external workload. Workload management should be considered a major factor in injury prevention programs. PMID:29769830
An Air Force Guide for Effective Meeting Management
2011-05-01
The inspection program to ensure its sustainment has faced increasing workload requirements due to structural issues related to heavy use and aging...26 Data Sources /Format...aircraft availability, the High Velocity Maintenance (HVM) concept is being implemented to replace the current PDM process for heavy maintenance
NASA Technical Reports Server (NTRS)
Brunstrom, Anna; Leutenegger, Scott T.; Simha, Rahul
1995-01-01
Traditionally, allocation of data in distributed database management systems has been determined by off-line analysis and optimization. This technique works well for static database access patterns, but is often inadequate for frequently changing workloads. In this paper we address how to dynamically reallocate data for partionable distributed databases with changing access patterns. Rather than complicated and expensive optimization algorithms, a simple heuristic is presented and shown, via an implementation study, to improve system throughput by 30 percent in a local area network based system. Based on artificial wide area network delays, we show that dynamic reallocation can improve system throughput by a factor of two and a half for wide area networks. We also show that individual site load must be taken into consideration when reallocating data, and provide a simple policy that incorporates load in the reallocation decision.
ERIC Educational Resources Information Center
Hemer, Susan R.
2014-01-01
University workloads, their impact on staff and how they can be managed, are the subject of considerable research and discussion. This paper addresses strategies to deal with the impact of workloads on teaching practices in higher education. In particular, it aims to discover the implicit theories and tacit assumptions that underlie perceptions of…
Reconsidering the conceptualization of nursing workload: literature review.
Morris, Roisin; MacNeela, Padraig; Scott, Anne; Treacy, Pearl; Hyde, Abbey
2007-03-01
This paper reports a literature review that aimed to analyse the way in which nursing intensity and patient dependency have been considered to be conceptually similar to nursing workload, and to propose a model to show how these concepts actually differ in both theoretical and practical terms. The literature on nursing workload considers the concepts of patient 'dependency' and nursing 'intensity' in the realm of nursing workload. These concepts differ by definition but are used to measure the same phenomenon, i.e. nursing workload. The literature search was undertaken in 2004 using electronic databases, reference lists and other available literature. Papers were sourced from the Medline, Psychlit, CINAHL and Cochrane databases and through the general search engine Google. The keywords focussed on nursing workload, nursing intensity and patient dependency. Nursing work and workload concepts and labels are defined and measured in different and often contradictory ways. It is vitally important to understand these differences when using such conceptualizations to measure nursing workload. A preliminary model is put forward to clarify the relationships between nursing workload concepts. In presenting a preliminary model of nursing workload, it is hoped that nursing workload might be better understood so that it becomes more visible and recognizable. Increasing the visibility of nursing workload should have a positive impact on nursing workload management and on the provision of patient care.
Shift manager workload assessment - A case study
DOE Office of Scientific and Technical Information (OSTI.GOV)
Berntson, K.; Kozak, A.; Malcolm, J. S.
2006-07-01
In early 2003, Bruce Power restarted two of its previously laid up units in the Bruce A generating station, Units 3 and 4. However, due to challenges relating to the availability of personnel with active Shift Manager licenses, an alternate shift structure was proposed to ensure the safe operation of the station. This alternate structure resulted in a redistribution of responsibility, and a need to assess the resulting changes in workload. Atomic Energy of Canada Limited was contracted to perform a workload assessment based on the new shift structure, and to provide recommendations, if necessary, to ensure Shift Managers hadmore » sufficient resources available to perform their required duties. This paper discusses the performance of that assessment, and lessons learned as a result of the work performed during the Restart project. (authors)« less
Commissioning the CERN IT Agile Infrastructure with experiment workloads
NASA Astrophysics Data System (ADS)
Medrano Llamas, Ramón; Harald Barreiro Megino, Fernando; Kucharczyk, Katarzyna; Kamil Denis, Marek; Cinquilli, Mattia
2014-06-01
In order to ease the management of their infrastructure, most of the WLCG sites are adopting cloud based strategies. In the case of CERN, the Tier 0 of the WLCG, is completely restructuring the resource and configuration management of their computing center under the codename Agile Infrastructure. Its goal is to manage 15,000 Virtual Machines by means of an OpenStack middleware in order to unify all the resources in CERN's two datacenters: the one placed in Meyrin and the new on in Wigner, Hungary. During the commissioning of this infrastructure, CERN IT is offering an attractive amount of computing resources to the experiments (800 cores for ATLAS and CMS) through a private cloud interface. ATLAS and CMS have joined forces to exploit them by running stress tests and simulation workloads since November 2012. This work will describe the experience of the first deployments of the current experiment workloads on the CERN private cloud testbed. The paper is organized as follows: the first section will explain the integration of the experiment workload management systems (WMS) with the cloud resources. The second section will revisit the performance and stress testing performed with HammerCloud in order to evaluate and compare the suitability for the experiment workloads. The third section will go deeper into the dynamic provisioning techniques, such as the use of the cloud APIs directly by the WMS. The paper finishes with a review of the conclusions and the challenges ahead.
Schnelle, John F; Schroyer, L Dale; Saraf, Avantika A; Simmons, Sandra F
2016-11-01
Nursing aides provide most of the labor-intensive activities of daily living (ADL) care to nursing home (NH) residents. Currently, most NHs do not determine nurse aide staffing requirements based on the time to provide ADL care for their unique resident population. The lack of an objective method to determine nurse aide staffing requirements suggests that many NHs could be understaffed in their capacity to provide consistent ADL care to all residents in need. Discrete event simulation (DES) mathematically models key work parameters (eg, time to provide an episode of care and available staff) to predict the ability of the work setting to provide care over time and offers an objective method to determine nurse aide staffing needs in NHs. This study had 2 primary objectives: (1) to describe the relationship between ADL workload and the level of nurse aide staffing reported by NHs; and, (2) to use a DES model to determine the relationship between ADL workload and nurse aide staffing necessary for consistent, timely ADL care. Minimum Data Set data related to the level of dependency on staff for ADL care for residents in over 13,500 NHs nationwide were converted into 7 workload categories that captured 98% of all residents. In addition, data related to the time to provide care for the ADLs within each workload category was used to calculate a workload score for each facility. The correlation between workload and reported nurse aide staffing levels was calculated to determine the association between staffing reported by NHs and workload. Simulations to project staffing requirements necessary to provide ADL care were then conducted for 65 different workload scenarios, which included 13 different nurse aide staffing levels (ranging from 1.6 to 4.0 total hours per resident day) and 5 different workload percentiles (ranging from the 5th to the 95th percentile). The purpose of the simulation model was to determine the staffing necessary to provide care within each workload percentile based on resident ADL care needs and compare the simulated staffing projections to the NH reported staffing levels. The percentage of scheduled care time that was omitted was estimated by the simulation model for each of the 65 workload scenarios using optimistic assumptions about staff productivity and efficiency. There was a low correlation between ADL workload and reported nurse aide staffing (Pearson = .11; P < .01), which suggests that most of the 13,500 NHs were not using ADL acuity to determine nurse aide staffing levels. Based on the DES model, the nurse aide staffing required for ADL care that would result in a rate of care omissions below 10% ranged from 2.8 hours/resident/day for NHs with a low workload (5th percentile) to 3.6 hours/resident/day for NHs with a high workload (95th percentile). In contrast, NHs reported staffing levels that ranged from an average of 2.3 to 2.5 hours/resident/day across all 5 workload percentiles. Higher workload NHs had the largest discrepancies between reported and predicted nurse aide staffing levels. The average nurse aide staffing levels reported by NHs falls below the level of staffing predicted as necessary to provide consistent ADL care to all residents in need. DES methodology can be used to determine nurse aide staffing requirements to provide ADL care and simulate management interventions to improve care efficiency and quality. Copyright © 2016 AMDA – The Society for Post-Acute and Long-Term Care Medicine. Published by Elsevier Inc. All rights reserved.
Pharmacy practice department chairs' perspectives on part-time faculty members.
Fjortoft, Nancy; Winkler, Susan R; Mai, Thy
2012-05-10
To identify the benefits and consequences of having part-time faculty members in departments of pharmacy practice from the department chair's perspective. A stratified purposive sample of 12 pharmacy practice department chairs was selected. Eleven telephone interviews were conducted. Two investigators independently read interview notes and categorized and enumerated responses to determine major themes using content analysis. The investigators jointly reviewed the data and came to consensus on major themes. Benefits of allowing full-time faculty members to reduce their position to part-time included faculty retention and improved individual faculty work/life balance. Consequences of allowing part-time faculty positions included the challenges of managing individual and departmental workloads, the risk of marginalizing part-time faculty members, and the challenges of promotion and tenure issues. All requests to switch to part-time status were faculty-driven and most were approved. There are a variety of benefits and consequences of having part-time faculty in pharmacy practice departments from the chair's perspective. Clear faculty and departmental expectations of part-time faculty members need to be established to ensure optimal success of this working arrangement.
USDA-ARS?s Scientific Manuscript database
Recent years have witnessed a call for evidence-based decisions in conservation and natural resource management, including data-driven decision-making. Adaptive management (AM) is one prevalent model for integrating scientific data into decision-making, yet AM has faced numerous challenges and limit...
Sanders, Gabriel J; Roll, Brad; Peacock, Corey A; Kollock, Roger O
2018-05-02
Sanders, GJ, Roll, B, Peacock, CA, and Kollock, RO. Maximum movement workloads and high-intensity workload demands by position in NCAA division I collegiate football. J Strength Cond Res XX(X): 000-000, 2018-The purpose of the study was to quantify the average and maximum (i.e., peak) movement workloads, and the percent of those workloads performed at high intensity by NCAA division I football athletes during competitive games. Using global positioning system devices (Catapult Sports), low, moderate, and high and total multidirectional movement workloads were quantified by each position. Strategically achieving maximal workloads may improve both conditioning and rehabilitation protocols for athletes as they prepare for competition or return to play after an injury. A total of 40 football athletes were included in the analysis. For the data to be included, athletes were required to participate in ≥75% of the offensive or defensive snaps for any given game. There was a total of 286 data downloads from 13 different games for 8 different football positions. Data were calculated and compared by offensive and defensive position to establish the mean, SD, and maximum workloads during competitive games. The percent high-intensity workload profile was established to assess the total number and percent of high-intensity movement workloads by position. The profile was calculated by dividing a position's maximal high-intensity movement workload by the total (e.g., sum of maximal low, moderate, and high-intensity movements) movement workload. One-way analysis of variances revealed that there was a main effect of football position for total movement workloads and the percent of workloads performed at high intensities (p ≤ 0.025 for all). Maximal high-intensity workloads were 1.6-4.3 times greater than average high-intensity workloads, and the percent of total workloads performed at high intensities varied greatly by position. Strategically training for and using maximal movement workloads can help ensure that athletes are achieving workloads that are similar to the greatest demands of a competitive game.
Soukup, Tayana; Lamb, Benjamin W; Arora, Sonal; Darzi, Ara; Sevdalis, Nick; Green, James Sa
2018-01-01
In many health care systems globally, cancer care is driven by multidisciplinary cancer teams (MDTs). A large number of studies in the past few years and across different literature have been performed to better understand how these teams work and how they manage patient care. The aim of our literature review is to synthesize current scientific and clinical understanding on cancer MDTs and their organization; this, in turn, should provide an up-to-date summary of the current knowledge that those planning or leading cancer services can use as a guide for service implementation or improvement. We describe the characteristics of an effective MDT and factors that influence how these teams work. A range of factors pertaining to teamwork, availability of patient information, leadership, team and meeting management, and workload can affect how well MDTs are implemented within patient care. We also review how to assess and improve these teams. We present a range of instruments designed to be used with cancer MDTs - including observational tools, self-assessments, and checklists. We conclude with a practical outline of what appears to be the best practices to implement (Dos) and practices to avoid (Don'ts) when setting up MDT-driven cancer care.
Soukup, Tayana; Lamb, Benjamin W; Arora, Sonal; Darzi, Ara; Sevdalis, Nick; Green, James SA
2018-01-01
In many health care systems globally, cancer care is driven by multidisciplinary cancer teams (MDTs). A large number of studies in the past few years and across different literature have been performed to better understand how these teams work and how they manage patient care. The aim of our literature review is to synthesize current scientific and clinical understanding on cancer MDTs and their organization; this, in turn, should provide an up-to-date summary of the current knowledge that those planning or leading cancer services can use as a guide for service implementation or improvement. We describe the characteristics of an effective MDT and factors that influence how these teams work. A range of factors pertaining to teamwork, availability of patient information, leadership, team and meeting management, and workload can affect how well MDTs are implemented within patient care. We also review how to assess and improve these teams. We present a range of instruments designed to be used with cancer MDTs – including observational tools, self-assessments, and checklists. We conclude with a practical outline of what appears to be the best practices to implement (Dos) and practices to avoid (Don’ts) when setting up MDT-driven cancer care. PMID:29403284
A Project Team Analysis Using Tuckman's Model of Small-Group Development.
Natvig, Deborah; Stark, Nancy L
2016-12-01
Concerns about equitable workloads for nursing faculty have been well documented, yet a standardized system for workload management does not exist. A project team was challenged to establish an academic workload management system when two dissimilar universities were consolidated. Tuckman's model of small-group development was used as the framework for the analysis of processes and effectiveness of a workload project team. Agendas, notes, and meeting minutes were used as the primary sources of information. Analysis revealed the challenges the team encountered. Utilization of a team charter was an effective tool in guiding the team to become a highly productive group. Lessons learned from the analysis are discussed. Guiding a diverse group into a highly productive team is complex. The use of Tuckman's model of small-group development provided a systematic mechanism to review and understand group processes and tasks. [J Nurs Educ. 2016;55(12):675-681.]. Copyright 2016, SLACK Incorporated.
A gLite FTS based solution for managing user output in CMS
DOE Office of Scientific and Technical Information (OSTI.GOV)
Cinquilli, M.; Riahi, H.; Spiga, D.
2012-01-01
The CMS distributed data analysis workflow assumes that jobs run in a different location from where their results are finally stored. Typically the user output must be transferred across the network from one site to another, possibly on a different continent or over links not necessarily validated for high bandwidth/high reliability transfer. This step is named stage-out and in CMS was originally implemented as a synchronous step of the analysis job execution. However, our experience showed the weakness of this approach both in terms of low total job execution efficiency and failure rates, wasting precious CPU resources. The nature ofmore » analysis data makes it inappropriate to use PhEDEx, the core data placement system for CMS. As part of the new generation of CMS Workload Management tools, the Asynchronous Stage-Out system (AsyncStageOut) has been developed to enable third party copy of the user output. The AsyncStageOut component manages glite FTS transfers of data from the temporary store at the site where the job ran to the final location of the data on behalf of that data owner. The tool uses python daemons, built using the WMCore framework, and CouchDB, to manage the queue of work and FTS transfers. CouchDB also provides the platform for a dedicated operations monitoring system. In this paper, we present the motivations of the asynchronous stage-out system. We give an insight into the design and the implementation of key features, describing how it is coupled with the CMS workload management system. Finally, we show the results and the commissioning experience.« less
NASA TLA workload analysis support. Volume 3: FFD autopilot scenario validation data
NASA Technical Reports Server (NTRS)
Sundstrom, J. L.
1980-01-01
The data used to validate a seven time line analysis of forward flight deck autopilot mode for the pilot and copilot for NASA B737 terminal configured vehicle are presented. Demand workloads are given in two forms: workload histograms and workload summaries (bar graphs). A report showing task length and task interaction is also presented.
Automated clustering-based workload characterization
NASA Technical Reports Server (NTRS)
Pentakalos, Odysseas I.; Menasce, Daniel A.; Yesha, Yelena
1996-01-01
The demands placed on the mass storage systems at various federal agencies and national laboratories are continuously increasing in intensity. This forces system managers to constantly monitor the system, evaluate the demand placed on it, and tune it appropriately using either heuristics based on experience or analytic models. Performance models require an accurate workload characterization. This can be a laborious and time consuming process. It became evident from our experience that a tool is necessary to automate the workload characterization process. This paper presents the design and discusses the implementation of a tool for workload characterization of mass storage systems. The main features of the tool discussed here are: (1)Automatic support for peak-period determination. Histograms of system activity are generated and presented to the user for peak-period determination; (2) Automatic clustering analysis. The data collected from the mass storage system logs is clustered using clustering algorithms and tightness measures to limit the number of generated clusters; (3) Reporting of varied file statistics. The tool computes several statistics on file sizes such as average, standard deviation, minimum, maximum, frequency, as well as average transfer time. These statistics are given on a per cluster basis; (4) Portability. The tool can easily be used to characterize the workload in mass storage systems of different vendors. The user needs to specify through a simple log description language how the a specific log should be interpreted. The rest of this paper is organized as follows. Section two presents basic concepts in workload characterization as they apply to mass storage systems. Section three describes clustering algorithms and tightness measures. The following section presents the architecture of the tool. Section five presents some results of workload characterization using the tool.Finally, section six presents some concluding remarks.
Application and Validation of Workload Assessment Techniques
1993-03-01
tech ical report documents the process and outcome of meeting this objective. Procedure: A series of eight separate studies was conducted using three...development process . The task analysis and simulation technique was shown to have the capability to track empirical workload ratings. More research is...operator workload during the systems acquisi- tion process , and (b) a pamphlet for the managers of Army systems that describes the need and some procedures
McCann, Mary T; Newson, Lisa; Burden, Catriona; Rooney, Jane S; Charnley, Margaret S; Abayomi, Julie C
2018-04-01
Midwives are responsible for providing advice regarding the complex issues of healthy eating and weight management during pregnancy. This study utilised an inductive data-driven thematic approach in order to determine midwives' perceptions, knowledge, and experiences of providing healthy eating and weight management advice to pregnant women. Semistructured interviews with 17 midwives were transcribed verbatim and data subjected to thematic analysis. The findings offer insight into the challenges facing midwives in their role trying to promote healthy eating and appropriate weight management to pregnant women. Three core themes were identified: (a) "If they eat healthily it will bring their weight down": Midwives Misunderstood; (b) "I don't think we are experienced enough": Midwives Lack Resources and Expertise; and (c) "BMI of 32 wouldn't bother me": Midwives Normalised Obesity. The midwives recognised the importance of providing healthy eating advice to pregnant women and the health risks associated with poor diet and obesity. However, they reported the normalisation of obesity in pregnant women and suggested that this, together with their high workload and lack of expertise, explained the reasons why systematic advice was not in standard antenatal care. In addition, the current lack of UK clinical guidance, and thus, possibly lack of clinical leadership are also preventing delivery of tailored advice. Implementation literature on understanding the barriers to optimal health care delivery and informing clinical practice through research evidence needs to be further investigated in this field. This study has recommendations for policy makers, commissioners, service providers, and midwives. © 2017 John Wiley & Sons Ltd.
O'Bryan, Linda; Krueger, Janelle; Lusk, Ruth
2002-03-01
Kindred Healthcare, Inc., the nation's largest full-service network of long-term acute care hospitals, initiated a 3-year strategic plan to re-evaluate its workload management system. Here, follow the project's most important and difficult phase--designing and implementing the patient classification system.
A future data environment - reusability vs. citability and synchronisation vs. ingestion
NASA Astrophysics Data System (ADS)
Fleischer, D.
2012-04-01
During the last decades data managers dedicated their work to the pursuit for importable data. In the recent years this chase seams to come to an end while funding organisations assume that the approach of data publications with citable data sets will eliminate denial of scientists to commit their data. But is this true for all problems we are facing at the edge of a data avalanche and data intensive science? The concept of citable data is a logical consequence from the connection of points. Potential data providers in the past complained usually about the missing of a credit assignment for data providers and they still do. The selected way of DOI captured data sets is perfectly fitting into the credit system of publisher driven publications with countable citations. This system is well known by scientists for approximately 400 years now. Unfortunately, there is a double bind situation between citeability and reusability. While cooperation of publishers and data archives are coming into existence, it is necessary to get one question clear: "Is it really worth while in the twenty-first century to force data into the publication process of the seventeenth century?" Data publications enable easy citability, but do not support easy data reusability for future users. Additional problems occur in such an environment while taking into account the chances of collaborative data corrections in the institutional repository. The future with huge amounts of data connected with publications makes reconsideration towards a more integrated approach reasonable. In the past data archives were the only infrastructures taking care of long-term data retrievability and availability. Nevertheless, they were never a part of the scientific process from data creation, analysis, interpretation and publication. Data archives were regarded as isolated islands in the sea of scientific data. Accordingly scientists considered data publications like a stumbling stone in their daily routines and still do. The creation of data set as additional publications is an additional workload a lot of scientists are not yet convinced about. These times are coming to an end now because of the efforts of the funding organisations and the increased awareness of scientific institutions. Right now data archives have their expertise in retrievability and availability, but the new demand of data provenance is not yet included in their systems. So why not taking the chance of the scientific institutes sneaking in and split the workload of retrievability and provenance. Such an integrated data environment will be characterized by increased functionality, creditability and structured data from the creation and everything accompanied by data managers. The Kiel Data Management Infrastructure is creating such an institutional provenance system for the scientific site of Kiel. Having data sets up to date by synchronisation with institutional provenance system capturing all changes and improvements right where they happen. A sophisticated and scalable landscape needs to combine advantages of the existing data centers such as the usability and retrievability functionality with the advantages of decentralised data capturing and provenance. This data environment with synchronisation features and creditability of scientific data to future users would be capable of the future tasks.
Psychophysiological measures of cognitive workload in laboratory and flight
NASA Technical Reports Server (NTRS)
Wilson, Glenn F.; Badeau, Albert
1993-01-01
Psychophysiological data have been recorded during different levels of cognitive workload in laboratory and flight settings. Cardiac, eye blink, and brain data have shown meaningful changes as a function of the levels of mental workload. Increased cognitive workload is generally associated with increased heart rates, decreased blink rates and eye closures, and decreased evoked potential amplitudes. However, comparisons of laboratory and flight data show that direct transference of laboratory findings to the flight environment is not possible in many cases. While the laboratory data are valuable, a data base from flight is required so that 'real world' data can be properly interpreted.
NASA Astrophysics Data System (ADS)
Sutapa, I. K.; Sudiarsa, I. M.
2018-01-01
The problems that often arise in the area of Denpasar City mostly caused by parking problems at the centers of activities such as shopping centers. The problems that occur not only because of the large number of vehicles that parked but also the result of the condition of parking officers who have not received attention, there is no concern about the physical condition of parking attendants because doing night guard duty. To improve the quality of parking officer, ergonomic parking lot is improved through the application of appropriate technology with systemic, holistic, interdisciplinary and participatory approach. The general objective of the research is to know the implementation of ergonomics in parking management on the improvement of the quality of parking officer in Robinson shopping center. The indicator of the quality of the parking officer work is the decrease of musculoskeletal complaints, fatigue, workload, boredom and increasing work motivation. The study was conducted using the same subject design, involving 10 subjects as a simple random sample. Intervention is done by arrangement of ergonomic basement motorcycle parking. Measurements done before and after repair. Washing out (WO) for 14 days. The data obtained were analyzed descriptively, tested normality (shapirowilk) and homogeneity (Levene Test). For normal and homogeneous distribution data, different test with One Way Anova, different test between Period with Post Hoc. Normally distributed and non-homogeneous data, different test with Friedman Test, different test between periods using Wilcoxon test. Data were analyzed with significance level of 5%. The results showed that the implementation of ergonomic in the management of parking area of the court decreased musculoskeletal complaints by 15.10% (p <0.05), decreased fatigue rate by 22.06% (p <0.05), decreased workload by 21, 90 % (P <0,05), decrease boredom 15,85% (p <0,05) and motivation improvement 37, 68% (p <0,05). It is concluded that the implementation of ergonomics in parking management of the parking lot improves the quality of the parking officer work from: (1) decrease of musculoskeletal complaints, (2) decrease of melting rate, (3) decrease of parking workload, decreasing boredom and increasing work motivation.
Schattner, Peter; Barker, Fiona; de Lusignan, Simon
2015-02-19
Minimally disruptive medicine (MDM) is proposed as a method for more appropriately managing people with multiple chronic disease. Much clinical management is currently single disease focussed, with people with multimorbidity being managed according to multiple single disease guidelines. Current initiatives to improve care include education about individual conditions and creating an environment where multiple guidelines might be simultaneously supported. The patient-centred medical home (PCMH) is an example of the latter. However, educational programmes and PCMH may increase the burden on patients. The cumulative workload for patients in managing the impact of multiple disease-specific guidelines is only relatively recently recognised. There is an intellectual vacuum as to how best to manage multimorbidity and how informatics might support implementing MDM. There is currently no alternative to multiple single-condition- specific guidelines and a lack of certainty, should the treatment burden need to be reduced, as to which guideline might be 'dropped'. The best information about multimorbidity is recorded in primary care computerised medical record (CMR) systems and in an increasing number of integrated care organisations. CMR systems have the potential to flag individuals who might be in greatest need. However, CMR systems may also provide insights into whether there are ameliorating factors that might make it easier for them to be resilient to the burden of care. Data from such CMR systems might be used to develop the evidence base about how to better manage multimorbidity. There is potential for these information systems to help reduce the management burden on patients and clinicians. However, substantial investment in research-driven CMR development is needed if we are to achieve this.
2011-01-01
The objectives of the study were to investigate job burnout and leader-member exchange (LMX) levels as well as to evaluate buffering effects of LMX on burnout among dietitians and chefs at institutional foodservices. Hypotheses were proposed based on the Job Demands-Resources model and LMX theory. The study population consisted of dietitians and chefs who were in charge of managing unit operations in a nationwide contract management company. Positive/negative affectivity, workload, job burnout, and LMX scales that had been validated in previous research were adopted. A total of 552 questionnaires were distributed and 154 responses were returned. Results indicated that respondents' burnout levels were moderate and emotional exhaustion was greater than cynicism. In terms of LMX, the surveyed dietitians and chefs showed higher respect toward their supervisors than loyalty. When positive affectivity and negative affectivity were controlled, workload influenced emotional exhaustion and professional efficacy significantly. With affectivity and workload controlled, however, LMX did not influence any dimensions of burnout. The moderating effect of LMX on the relationship between workload and cynicism was significant. That is, the effect of workload on cynicism was weak if the dietitians and chefs perceived the relationship with their supervisor positively. Based on the findings and literature reviewed, how to mitigate job burnout among foodservice managers is discussed. PMID:21487501
Murphy, Katherine; Levitt, Naomi S.; BeLue, Rhonda; Oni, Tolu
2018-01-01
Background Current South African health policy for chronic disease management proposes integration of chronic services for better outcomes for chronic conditions; that is based on the Integrated Chronic Disease Model (ICDM). However, scant data exist on how patients with chronic multimorbidities currently experience the (re)-organisation of health services and what their perceived needs are in order to enhance the management of their conditions. Methods A qualitative study was conducted in a community health centre treating both HIV and diabetes patients in Cape Town. The study was grounded in the Shippee's Cumulative Complexity Model (CCM) and explored “patient workload” and “patient capacity” to manage chronic conditions. Individual interviews were conducted with 10 adult patient-participants with HIV and type two diabetes (T2D) multimorbidity and 6 healthcare workers who provided health services to these patient-participants. Results Patient-participants in this study experienced clinic-related workload such as: two separate clinics for HIV and T2D and perceived and experienced power mismatch between patients and healthcare workers. Self-care related workloads were largely around nutritional requirements, pill burden, and stigma. Burden of these demands varied in difficulty among patient-participants due to capacity factors such as: positive attitudes, optimal health literacy, social support and availability of economic resources. Strategies mentioned by participants for improved continuity of care and self-management of multi-morbidities included integration of chronic services, consolidated guidelines for healthcare workers, educational materials for patients, improved information systems and income for patients. Conclusion Using the CCM to explore multimorbidity captured most of the themes around "patient workload" and "patient capacity”, and was thus a suitable framework to explore multimorbidity in this high HIV/T2D burden setting. Integration of chronic services and addressing social determinants of health may be the first steps towards alleviating patient burden and improving their access and utilisation of these services. Further studies are necessary to explore multimorbidity beyond the context of HIV/T2D. PMID:29538415
Studies of planning behavior of aircraft pilots in normal, abnormal and emergency situations
NASA Technical Reports Server (NTRS)
Johannsen, G.; Rouse, W. B.; Hillmann, K.
1981-01-01
A methodology for the study of planning is presented and the results of applying the methodology within two experimental investigations of planning behavior of aircraft pilots in normal, abnormal, and emergency situations are discussed. Beyond showing that the methodology yields consistent results, these experiments also lead to concepts in terms of a dichotomy between event driven and time driven planning, subtle effects of automation on planning, and the relationship of planning to workload and flight performance.
Fault and Error Latency Under Real Workload: an Experimental Study. Ph.D. Thesis
NASA Technical Reports Server (NTRS)
Chillarege, Ram
1986-01-01
A practical methodology for the study of fault and error latency is demonstrated under a real workload. This is the first study that measures and quantifies the latency under real workload and fills a major gap in the current understanding of workload-failure relationships. The methodology is based on low level data gathered on a VAX 11/780 during the normal workload conditions of the installation. Fault occurrence is simulated on the data, and the error generation and discovery process is reconstructed to determine latency. The analysis proceeds to combine the low level activity data with high level machine performance data to yield a better understanding of the phenomena. A strong relationship exists between latency and workload and that relationship is quantified. The sampling and reconstruction techniques used are also validated. Error latency in the memory where the operating system resides was studied using data on the physical memory access. Fault latency in the paged section of memory was determined using data from physical memory scans. Error latency in the microcontrol store was studied using data on the microcode access and usage.
Mental workload measurement: Event-related potentials and ratings of workload and fatigue
NASA Technical Reports Server (NTRS)
Biferno, M. A.
1985-01-01
Event-related potentials were elicited when a digitized word representing a pilot's call-sign was presented. This auditory probe was presented during 27 workload conditions in a 3x3x3 design where the following variables were manipulated: short-term load, tracking task difficulty, and time-on-task. Ratings of workload and fatigue were obtained between each trial of a 2.5-hour test. The data of each subject were analyzed individually to determine whether significant correlations existed between subjective ratings and ERP component measures. Results indicated that a significant number of subjects had positive correlations between: (1) ratings of workload and P300 amplitude, (2) ratings of workload and N400 amplitude, and (3) ratings of fatigue and P300 amplitude. These data are the first to show correlations between ratings of workload or fatigue and ERP components thereby reinforcing their validity as measures of mental workload and fatigue.
Lewis, Rachel; Yarker, Joanna; Donaldson-Feilder, Emma; Flaxman, Paul; Munir, Fehmidah
2010-03-01
To identify the specific management behaviours associated with the effective management of stress in nursing; and to build a stress management competency framework that can be integrated and compared with nurse management frameworks. Workplace stress is a significant problem in healthcare, especially within nursing. While there is a reasonable consensus regarding the sources of stress and its impact on health and well-being, little is known about the specific line manager behaviours that are associated with the effective and ineffective management of stress. Semi-structured interviews using critical incident technique were conducted with 41 employees working within 5 National Health Service (NHS) trusts within the United Kingdom. Data were transcribed and analysed using content analysis. 19 competencies (or sets of behaviour) were identified in the management of stress in employees. The 3 most frequently reported competencies: managing workload and resources, individual consideration and participative approach, are discussed in detail with illustrative quotes. Managers are vital in the reduction and management of stress at work. Importantly, the 2 of the 3 dominant competencies, managing workload and resources and individual consideration, do not feature in the UK's NHS Knowledge and Skills Framework, suggesting there are important skills gaps with regard to managing workplace stress. The implications of this approach for training and development, performance appraisal and assessment are discussed. Interventions to support managers develop effective behaviours are required to help reduce and manage stress at work. Copyright 2009 Elsevier Ltd. All rights reserved.
Childhood fever in well-child clinics: a focus group study among doctors and nurses.
Peetoom, Kirsten K B; Ploum, Luc J L; Smits, Jacqueline J M; Halbach, Nicky S J; Dinant, Geert-Jan; Cals, Jochen W L
2016-07-08
Fever is common in children aged 0-4 years old and often leads to parental worries and in turn, high use of healthcare services. Educating parents may have beneficial effects on their sense of coping and fever management. Most parents receive information when their child is ill but it might be more desirable to educate parents in the setting of well-child clinics prior to their child becoming ill, in order to prepare parents for future illness management. This study aims to explore experiences of well-child clinic professionals when dealing with childhood fever and current practices of fever information provision to identify starting points for future interventions. We held four focus group discussions based on naturalistic enquiry among 22 well-child clinic professionals. Data was analysed using the constant comparative technique. Well-child clinic professionals regularly received questions from parents about childhood fever and felt that parental worries were the major driving factor behind these contacts. These worries were assumed to be driven by: (1) lack of knowledge (2) experiences with fever (3) educational level and size social network (4) inconsistencies in paracetamol administration advice among healthcare professionals. Well-child clinic professionals perceive current information provision as limited and stated a need for improvement. For example, information should be consistent, easy to find and understand. Fever-related questions are common in well-child care and professionals perceive that most of the workload is driven by parental worries. The focus group discussions revealed a desire to optimise the current limited information provision for childhood fever. Future interventions aimed at improving information provision for fever in well-child clinics should consider parental level of knowledge, experience, educational level and social network and inconsistencies among healthcare providers. Future fever information provision should focus on improving fever management and practical skills.
A graph based algorithm for adaptable dynamic airspace configuration for NextGen
NASA Astrophysics Data System (ADS)
Savai, Mehernaz P.
The National Airspace System (NAS) is a complicated large-scale aviation network, consisting of many static sectors wherein each sector is controlled by one or more controllers. The main purpose of the NAS is to enable safe and prompt air travel in the U.S. However, such static configuration of sectors will not be able to handle the continued growth of air travel which is projected to be more than double the current traffic by 2025. Under the initiative of the Next Generation of Air Transportation system (NextGen), the main objective of Adaptable Dynamic Airspace Configuration (ADAC) is that the sectors should change to the changing traffic so as to reduce the controller workload variance with time while increasing the throughput. Change in the resectorization should be such that there is a minimal increase in exchange of air traffic among controllers. The benefit of a new design (improvement in workload balance, etc.) should sufficiently exceed the transition cost, in order to deserve a change. This leads to the analysis of the concept of transition workload which is the cost associated with a transition from one sectorization to another. Given two airspace configurations, a transition workload metric which considers the air traffic as well as the geometry of the airspace is proposed. A solution to reduce this transition workload is also discussed. The algorithm is specifically designed to be implemented for the Dynamic Airspace Configuration (DAC) Algorithm. A graph model which accurately represents the air route structure and air traffic in the NAS is used to formulate the airspace configuration problem. In addition, a multilevel graph partitioning algorithm is developed for Dynamic Airspace Configuration which partitions the graph model of airspace with given user defined constraints and hence provides the user more flexibility and control over various partitions. In terms of air traffic management, vertices represent airports and waypoints. Some of the major (busy) airports need to be given more importance and hence treated separately. Thus the algorithm takes into account the air route structure while finding a balance between sector workloads. The performance of the proposed algorithms and performance metrics is validated with the Enhanced Traffic Management System (ETMS) air traffic data.
Vargas Bustamante, Arturo; Martinez, Ana; Chen, Xiao; Rodriguez, Hector P
2017-06-01
We examine whether workplace climate-quality of staff relationships (QSR) and manageable clinic workload (MCW) are related to better patient care experiences and diabetes care in community health centers (CHCs) catering to Latino and Chinese patients. Patient experience surveys of adult patients with type 2 diabetes and workplace climate surveys of clinicians and staff from CHCs were included in an analytic sample. Comparisons of means analyses examine patient and provider characteristics. The associations of QSR, MCW and the diabetes care management were examined using regression analyses. Diabetes care process were more consistently provided in CHCs with high quality staff relations and more manageable clinic workload, but HbA1c, LDL cholesterol, and blood pressure outcomes were no different between clinics with high vs. low QSR and MCW. Focusing efforts on improvements in practice climate may lead to more consistent provision of important processes of diabetes care for these patients.
Mauno, Saija; Ruokolainen, Mervi; Kinnunen, Ulla
2013-01-01
This study examined whether an employee's age moderates the relationships between job stressors (i.e. job insecurity, workload, work-family conflict) and self-rated well-being (i.e. work-family enrichment, life satisfaction, job satisfaction, vigor at work). Analysis of covariance and moderated hierarchical regression analysis were used to examine the cross-sectional Finnish data collected among service sector employees (N = 1037), nurses (N = 1719), and academic employees (N = 945). In a situation of high job insecurity, the younger nurses reported higher work-family enrichment, job satisfaction, and vigor compared to their older colleagues. A similar result was also found among the service sector workers in relation to vigor at work. Thus, young age buffered against negative outcomes related to job insecurity. Moreover, older age buffered against the negative effect of high workload on job satisfaction among the service sector and against high work-family conflict on life satisfaction among the academic employees. More attention should be paid to the ability of younger employees to manage problems related to work-family imbalance and high workload, and to older employees' ability to cope with job insecurity. The findings of this study recommend different stress management interventions for older and younger employees.
Hill, Kylie
2010-01-01
ABSTRACT Purpose: The aims of this study were (1) to describe the cardiorespiratory physiotherapy weekend service (PWS) at three tertiary hospitals in the Greater Toronto Area (GTA) and (2) to compare measures of staff burden among the clinical service areas in one of the hospitals that had a programme-based management structure. Method: Two focus-group meetings were held with physiotherapists from hospitals within the GTA. Thereafter, variables characterizing the PWS were collected over 8 months, using a standardized data-collection form. Results: A total of 632 data-collection forms were received. Response rates exceeded 75% at each hospital. Workload variables, including the number of patient visits, new referrals per hour, and the proportion of staff completing unpaid overtime, differed between the hospitals (p<0.002). There was no difference in any variable when data were compared between Saturday, Sunday, and statutory holidays (p>0.13). Workload measures varied between clinical service areas at the hospital that provided PWS using a programme-based approach. Conclusions: These findings highlight the important shortcomings of a programme-based management approach to providing PWS and may constitute a catalyst for change. PMID:21359048
Comparison of workload measures on computer-generated primary flight displays
NASA Technical Reports Server (NTRS)
Nataupsky, Mark; Abbott, Terence S.
1987-01-01
Four Air Force pilots were used as subjects to assess a battery of subjective and physiological workload measures in a flight simulation environment in which two computer-generated primary flight display configurations were evaluated. A high- and low-workload task was created by manipulating flight path complexity. Both SWAT and the NASA-TLX were shown to be effective in differentiating the high and low workload path conditions. Physiological measures were inconclusive. A battery of workload measures continues to be necessary for an understanding of the data. Based on workload, opinion, and performance data, it is fruitful to pursue research with a primary flight display and a horizontal situation display integrated into a single display.
Predicting operator workload during system design
NASA Technical Reports Server (NTRS)
Aldrich, Theodore B.; Szabo, Sandra M.
1988-01-01
A workload prediction methodology was developed in response to the need to measure workloads associated with operation of advanced aircraft. The application of the methodology will involve: (1) conducting mission/task analyses of critical mission segments and assigning estimates of workload for the sensory, cognitive, and psychomotor workload components of each task identified; (2) developing computer-based workload prediction models using the task analysis data; and (3) exercising the computer models to produce predictions of crew workload under varying automation and/or crew configurations. Critical issues include reliability and validity of workload predictors and selection of appropriate criterion measures.
van den Oetelaar, W F J M; van Stel, H F; van Rhenen, W; Stellato, R K; Grolman, W
2016-11-10
Hospitals pursue different goals at the same time: excellent service to their patients, good quality care, operational excellence, retaining employees. This requires a good balance between patient needs and nursing staff. One way to ensure a proper fit between patient needs and nursing staff is to work with a workload management method. In our view, a nursing workload management method needs to have the following characteristics: easy to interpret; limited additional registration; applicable to different types of hospital wards; supported by nurses; covers all activities of nurses and suitable for prospective planning of nursing staff. At present, no such method is available. The research follows several steps to come to a workload management method for staff nurses. First, a list of patient characteristics relevant to care time will be composed by performing a Delphi study among staff nurses. Next, a time study of nurses' activities will be carried out. The 2 can be combined to estimate care time per patient group and estimate the time nurses spend on non-patient-related activities. These 2 estimates can be combined and compared with available nursing resources: this gives an estimate of nurses' workload. The research will take place in an academic hospital in the Netherlands. 6 surgical wards will be included, capacity 15-30 beds. The study protocol was submitted to the Medical Ethical Review Board of the University Medical Center (UMC) Utrecht and received a positive advice, protocol number 14-165/C. This method will be developed in close cooperation with staff nurses and ward management. The strong involvement of the end users will contribute to a broader support of the results. The method we will develop may also be useful for planning purposes; this is a strong advantage compared with existing methods, which tend to focus on retrospective analysis. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/.
NASA Astrophysics Data System (ADS)
Ighravwe, D. E.; Oke, S. A.; Adebiyi, K. A.
2016-06-01
The growing interest in technicians' workloads research is probably associated with the recent surge in competition. This was prompted by unprecedented technological development that triggers changes in customer tastes and preferences for industrial goods. In a quest for business improvement, this worldwide intense competition in industries has stimulated theories and practical frameworks that seek to optimise performance in workplaces. In line with this drive, the present paper proposes an optimisation model which considers technicians' reliability that complements factory information obtained. The information used emerged from technicians' productivity and earned-values using the concept of multi-objective modelling approach. Since technicians are expected to carry out routine and stochastic maintenance work, we consider these workloads as constraints. The influence of training, fatigue and experiential knowledge of technicians on workload management was considered. These workloads were combined with maintenance policy in optimising reliability, productivity and earned-values using the goal programming approach. Practical datasets were utilised in studying the applicability of the proposed model in practice. It was observed that our model was able to generate information that practicing maintenance engineers can apply in making more informed decisions on technicians' management.
Monitoring and Managing Fatigue in Basketball
Edwards, Toby; Spiteri, Tania; Piggott, Benjamin; Bonhotal, Joshua; Joyce, Christopher
2018-01-01
The sport of basketball exposes athletes to frequent high intensity movements including sprinting, jumping, accelerations, decelerations and changes of direction during training and competition which can lead to acute and accumulated chronic fatigue. Fatigue may affect the ability of the athlete to perform over the course of a lengthy season. The ability of practitioners to quantify the workload and subsequent fatigue in basketball athletes in order to monitor and manage fatigue levels may be beneficial in maintaining high levels of performance and preventing unfavorable physical and physiological training adaptations. There is currently limited research quantifying training or competition workload outside of time motion analysis in basketball. In addition, systematic research investigating methods to monitor and manage athlete fatigue in basketball throughout a season is scarce. To effectively optimize and maintain peak training and playing performance throughout a basketball season, potential workload and fatigue monitoring strategies need to be discussed. PMID:29910323
Single Pilot Workload Management During Cruise in Entry Level Jets
NASA Technical Reports Server (NTRS)
Burian, Barbara K.; Pruchnicki, Shawn; Christopher, Bonny; Silverman, Evan; Hackworth, Carla; Rogers, Jason; Williams, Kevin; Drechsler, Gena; Runnels, Barry; Mead, Andy
2013-01-01
Advanced technologies and automation are important facilitators of single pilot operations, but they also contribute to the workload management challenges faced by the pilot. We examined task completion, workload management, and automation use in an entry level jet (ELJ) flown by single pilots. Thirteen certificated Cessna Citation Mustang (C510-S) pilots flew an instrument flight rules (IFR) experimental flight in a Cessna Citation Mustang simulator. At one point participants had to descend to meet a crossing restriction prior to a waypoint and prepare for an instrument approach into an un-towered field while facilitating communication from a lost pilot who was flying too low for ATC to hear. Four participants experienced some sort of difficulty with regard to meeting the crossing restriction and almost half (n=6) had problems associated with the instrument approach. Additional errors were also observed including eight participants landing at the airport with an incorrect altimeter setting.
Prediction of Traffic Complexity and Controller Workload in Mixed Equipage NextGen Environments
NASA Technical Reports Server (NTRS)
Lee, Paul U.; Prevot, Thomas
2012-01-01
Controller workload is a key factor in limiting en route air traffic capacity. Past efforts to quantify and predict workload have resulted in identifying objective metrics that correlate well with subjective workload ratings during current air traffic control operations. Although these metrics provide a reasonable statistical fit to existing data, they do not provide a good mechanism for estimating controller workload for future air traffic concepts and environments that make different assumptions about automation, enabling technologies, and controller tasks. One such future environment is characterized by en route airspace with a mixture of aircraft equipped with and without Data Communications (Data Comm). In this environment, aircraft with Data Comm will impact controller workload less than aircraft requiring voice communication, altering the close correlation between aircraft count and controller workload that exists in current air traffic operations. This paper outlines a new trajectory-based complexity (TBX) calculation that was presented to controllers during a human-in-the-loop simulation. The results showed that TBX accurately estimated the workload in a mixed Data Comm equipage environment and the resulting complexity values were understood and readily interpreted by the controllers. The complexity was represented as a "modified aircraft account" that weighted different complexity factors and summed them in such a way that the controllers could effectively treat them as aircraft count. The factors were also relatively easy to tune without an extensive data set. The results showed that the TBX approach is well suited for presenting traffic complexity in future air traffic environments.
NASA Technical Reports Server (NTRS)
James, Jeffrey M.; Sanderson, Penelope M.; Seidler, Karen S.
1990-01-01
As modern transport environments become increasingly complex, issues such as crew communication, interaction with automation, and workload management have become crucial. Much research is being focused on holistic aspects of social and cognitive behavior, such as the strategies used to handle workload, the flow of information, the scheduling of tasks, the verbal and non-verbal interactions between crew members. Traditional laboratory performance measures no longer sufficiently meet the needs of researchers addressing these issues. However observational techniques are better equipped to capture the type of data needed and to build models of the requisite level of sophistication. Presented here is SHAPA, an interactive software tool for performing both verbal and non-verbal protocol analysis. It has been developed with the idea of affording the researchers the closest possible degree of engagement with protocol data. The researcher can configure SHAPA to encode protocols using any theoretical framework or encoding vocabulary that is desired. SHAPA allows protocol analysis to be performed at any level of analysis, and it supplies a wide variety of tools for data aggregation, manipulation. The output generated by SHAPA can be used alone or in combination with other performance variables to get a rich picture of the influences on sequences of verbal or nonverbal behavior.
McHugh, S M; Tyrrell, E; Johnson, B; Healy, O; Perry, I J; Normand, C
2015-12-01
This article aims to estimate the workforce and resource implications of the proposed age extension of the national breast screening programme, under the economic constraints of reduced health budgets and staffing levels in the Irish health system. Using a mixed method design, a purposive sample of 20 participants were interviewed and data were analysed thematically (June-September 2012). Quantitative data (programme-level activity data, screening activity, staffing levels and screening plans) were used to model potential workload and resource requirements. The analysis indicates that over 90% operational efficiency was achieved throughout the first six months of 2012. Accounting for maternity leave (10%) and sick leave (3.5%), 16.1 additional radiographers (whole time equivalent) would be required for the workload created by the age extension of the screening programme, at 90% operational efficiency. The results suggest that service expansion is possible with relatively minimal additional radiography resources if the efficiency of the skill mix and the use of equipment are improved. Investing in the appropriate skill mix should not be limited to clinical groups but should also include administrative staff to manage and support the service. Workload modelling may contribute to improved health workforce planning and service efficiency. Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.
A study of dynamic data placement for ATLAS distributed data management
NASA Astrophysics Data System (ADS)
Beermann, T.; Stewart, G. A.; Maettig, P.
2015-12-01
This contribution presents a study on the applicability and usefulness of dynamic data placement methods for data-intensive systems, such as ATLAS distributed data management (DDM). In this system the jobs are sent to the data, therefore having a good distribution of data is significant. Ways of forecasting workload patterns are examined which then are used to redistribute data to achieve a better overall utilisation of computing resources and to reduce waiting time for jobs before they can run on the grid. This method is based on a tracer infrastructure that is able to monitor and store historical data accesses and which is used to create popularity reports. These reports provide detailed summaries about data accesses in the past, including information about the accessed files, the involved users and the sites. From this past data it is possible to then make near-term forecasts for data popularity in the future. This study evaluates simple prediction methods as well as more complex methods like neural networks. Based on the outcome of the predictions a redistribution algorithm deletes unused replicas and adds new replicas for potentially popular datasets. Finally, a grid simulator is used to examine the effects of the redistribution. The simulator replays workload on different data distributions while measuring the job waiting time and site usage. The study examines how the average waiting time is affected by the amount of data that is moved, how it differs for the various forecasting methods and how that compares to the optimal data distribution.
Tubbs-Cooley, Heather L; Mara, Constance A; Carle, Adam C; Gurses, Ayse P
2018-02-12
The NASA Task Load Index (NASA-TLX) is a subjective workload assessment scale developed for use in aviation and increasingly applied to healthcare. The scale purports to measure overall workload as a single variable calculated by summing responses to six items. Since no data address the validity of this scoring approach in health care, we evaluated the single factor structure of the NASA-TLX as a measure of overall workload among intenisive care nurses. Confirmatory factor analysis of data from two studies of nurse workload in neonatal, paediatric, and adult intensive care units. Study 1 data were obtained from 136 nurses in one neonatal intensive care unit. Study 2 data were collected from 300 nurses in 17 adult, paediatric and neonatal units. Nurses rated their workload using the NASA-TLX's paper version. A single factor model testing whether all six items measured a single overall workload variable fit least well (RMSEA = 0.14; CFI = 0.91; TLI = 0.85). A second model that specified two items as outcomes of overall workload had acceptable fit (RMSEA = 0.08; CFI = 0.97; TLI = 0.95) while a third model of four items fit best (RMSEA = 0.06; CFI > 0.99; TLI = 0.99). A summed score from four of six NASA-TLX items appears to most reliably measure a single overall workload variable among intensive care nurses. Copyright © 2018 Elsevier Ltd. All rights reserved.
A comparison of policies on nurse faculty workload in the United States.
Ellis, Peggy A
2013-01-01
This article describes nurse faculty workload policies from across the nation in order to assess current practice. There is a well-documented shortage of nursing faculty leading to an increase in workload demands. Increases in faculty workload results in difficulties with work-life balance and dissatisfaction threatening to make nursing education less attractive to young faculty. In order to begin an examination of faculty workload in nursing, existing workloads must be known. Faculty workload data were solicited from nursing programs nationwide and analyzed to determine the current workloads. The most common faculty teaching workload reported overall for nursing is 12 credit hours per semester; however, some variations exist. Consideration should be given to the multiple components of the faculty workload. Research is needed to address the most effective and efficient workload allocation for nursing faculty.
Data Elements for Workload Analysis of Armored Vehicle Crews
1990-09-01
weapon status, terrain, enemy, etc.) and 2) managing the operation of the various mental processes through which the operator interacts with the...contrive, or plan a process or procedure for carrying out a tactical action. DICTATE - To speak aloud into a recorder. DIRECT - To manage the action of...To mark or note on a map or chart; to locate by means of coordinates. POSITION - To place oneself or others in a location or posture. PREPARE - To
2015-03-26
Engineering and Management Air Force Institute of Technology Air University Air Education and Training Command In Partial Fulfillment of the...Human Universal Measurement and Assessment Network (HUMAN) Lab human performance experiment trials were used to train , validate and test the...calming music to ease the individual before the start of the study [8]. EEG data contains noise ranging from muscle twitches, blinking and other functions
Näswall, Katharina; Burt, Christopher D B; Pearce, Megan
2015-01-01
This study investigated the impact of workload demands on perceived job risk using the Job Demand-Control model as a research framework. The primary objective was to test the hypothesis that employee control over work scheduling and overtime would moderate the relationship between workload demands and perceived job risk. Ninety-six participants working in a variety of industries completed measures of workload demands, and of control over work scheduling and overtime, and a measure of perceived job risk. Workload demands predicted higher perceptions of job risk. However, the results also suggest that control over overtime moderated this relationship, where those with the combination of high workload demands and low control over overtime reported higher levels of perceived risk. The results indicate that the JDC model is applicable to safety research. The results suggest that employee control over workload demands is an important variable to consider in terms of managing workplace safety. The present study also points to important areas for future research to explore in order to further understand the connection between demands and safety.
Patient transfers in Australia: implications for nursing workload and patient outcomes.
Blay, Nicole; Duffield, Christine M; Gallagher, Robyn
2012-04-01
To discuss the impact of patient transfers on patient outcomes and nursing workload. Many patient transfers are essential and occur in response to patients' clinical changes. However, increasingly within Australia transfers are performed in response to reductions in bed numbers, resulting in 'bed block'. A discussion of the literature related to inpatient transfers, nursing workload and patient safety. Measures to increase patient flow such as short-stay units may result in an increase in patient transfers and nursing workload. Frequent patient transfers may also increase the risk of medication incidents, health-care acquired infections and patient falls. The continuing demand for health care has led to a reactionary bed management system that, in an attempt to accommodate patients, has resulted in increased transfers between wards. This can have a negative effect on nursing workload and affect patient outcomes. High nursing workload is cited as one reason for nurses leaving the profession. Reductions in non-essential transfers may reduce nurse workload, improve patient outcomes and enhance continuity of patient care. © 2011 Blackwell Publishing Ltd.
Department of Defense Suicide Event Report (DoDSER) Data Quality Assessment
2014-11-14
This workload was considered overhead rather than suicide prevention activities. DoDSER accuracy and completeness suffered from a high number of “don’t...played in a suicide , yet these questions were in the top 10 of the “don’t know/data unavailable” DoDSER items. Medical Workload Accounting Workload ...personnel were not receiving appropriate workload credit for DoDSER submissions, important suicide prevention work. Grouping DoDSER work into a larger
Injury risk-workload associations in NCAA American college football.
Sampson, J A; Murray, A; Williams, S; Halseth, T; Hanisch, J; Golden, G; Fullagar, H H K
2018-05-22
To determine injury risk-workload associations in collegiate American Football. Retrospective analysis. Workload and injury data was recorded from 52 players during a full NCAA football season. Acute, chronic, and a range of acute:chronic workload ratios (ACWR: 7:14, 7:21 and 7:28 day) calculated using rolling and exponentially weighted moving averages (EWMA) were plotted against non-contact injuries (regardless of time lost or not) sustained within 3- and 7-days. Injury risks were also determined relative to position and experience. 105 non-contact injuries (18 game- and 87 training-related) were observed with almost 40% sustained during the pre-season. 7-21 day EWMA ACWR's with a 3-day injury lag were most closely associated with injury (R 2 =0.54). Relative injury risks were >3× greater with high compared to moderate and low ratios and magnified when combined with low 21-day chronic workloads (injury probability=92.1%). Injury risks were similar across positions. 'Juniors' presented likely and possibly increased overall injury risk compared to 'Freshman' (RR: 1.94, CI 1.07-3.52) and 'Seniors' (RR: 1.7, CI 0.92-3.14), yet no specific ACWR - experience or - position interactions were identified. High injury rates during college football pre-season training may be associated with high acute loads. In-season injury risks were greatest with high ACWR and evident even when including (more common and less serious) non-time loss injuries. Substantially increased injury risks when low 21-day chronic workloads and concurrently high EWMA ACWR highlights the importance of load management for individuals with chronic game- (non-involved on game day) and or training (following injury) absences. Copyright © 2018 Sports Medicine Australia. Published by Elsevier Ltd. All rights reserved.
The Professional Work of Teachers in Singapore: Findings from a Work-Shadowing Study
ERIC Educational Resources Information Center
Lee, Y.-J.; Poon, C. L.
2014-01-01
The professional activities that constitute the work of school teachers are known to be both numerous and varied. While managing teacher workloads is a major priority for governments around the world, valid and reliable figures are difficult to obtain. From a larger qualitative study of teachers' work culture in Singapore, we report data obtained…
NeuPAT: an intranet database supporting translational research in neuroblastic tumors.
Villamón, Eva; Piqueras, Marta; Meseguer, Javier; Blanquer, Ignacio; Berbegall, Ana P; Tadeo, Irene; Hernández, Vicente; Navarro, Samuel; Noguera, Rosa
2013-03-01
Translational research in oncology is directed mainly towards establishing a better risk stratification and searching for appropriate therapeutic targets. This research generates a tremendous amount of complex clinical and biological data needing speedy and effective management. The authors describe the design, implementation and early experiences of a computer-aided system for the integration and management of data for neuroblastoma patients. NeuPAT facilitates clinical and translational research, minimizes the workload in consolidating the information, reduces errors and increases correlation of data through extensive coding. This design can also be applied to other tumor types. Copyright © 2012 Elsevier Ltd. All rights reserved.
Workload Management Strategies for Online Educators
ERIC Educational Resources Information Center
Crews, Tena B.; Wilkinson, Kelly; Hemby, K. Virginia; McCannon, Melinda; Wiedmaier, Cheryl
2008-01-01
With increased use of online education, both students and instructors are adapting to the online environment. Online educators must adjust to the change in responsibilities required to teach online, as it is quite intensive during the designing, teaching, and revising stages. The purpose of this study is to examine and update workload management…
How the workload impacts on cognitive cooperation: A pilot study.
Sciaraffa, Nicolina; Borghini, Gianluca; Arico, Pietro; Di Flumeri, Gianluca; Toppi, Jlenia; Colosimo, Alfredo; Bezerianos, Anastatios; Thakor, Nitish V; Babiloni, Fabio
2017-07-01
Cooperation degradation can be seen as one of the main causes of human errors. Poor cooperation could arise from aberrant mental processes, such as mental overload, that negatively affect the user's performance. Using different levels of difficulty in a cooperative task, we combined behavioural, subjective and neurophysiological data with the aim to i) quantify the mental workload under which the crew was operating, ii) evaluate the degree of their cooperation, and iii) assess the impact of the workload demands on the cooperation levels. The combination of such data showed that high workload demand impacted significantly on the performance, workload perception, and degree of cooperation.
Wennerberg, Mia M T; Lundgren, Solveig M; Eriksson, Monica; Danielson, Ella
2018-05-21
To present Specific and Generalized Resistance Resources (SRRs/GRRs) and Deficits (SRDs/GRDs) described by 32 informal caregivers as originating from themselves and their older adult carerecipients as dyads. Salutogenic interviewing was used to assemble data from caregivers. A theory-driven, memo-guided and comparative analysis using within- and across- case analysis was applied to unravel resources and deficits influencing the outcomes when they managed tension associated with caregiving. Living in fellowship in a well-functioning dyad unites the essence of having access to dyadic SRRs/GRRs. Such access enables dyads to use their specific dyadic tension management to resolve challenges through cooperation, derives 'positive' life-experiences and preserves dyad functioning. Struggling alone in a malfunctioning dyad indicates the presence of dyadic SRDs/GRDs counteracting such a development. If these SRDs/GRDs accumulate, the dyad become less able to resolve challenges, 'negative' life-experiences accumulates, the carerecipient's capability to cooperate decreases, caregiver's workload increases, the dyad becomes increasingly malfunctioning and moves towards the point where caregiving ends due to lack of usable SRRs/GRRs. Findings reveals the complex duality of caregiving and the necessity to assess all available SRRs/GRRs and SRDs/GRDs for caregiving dyads, including out of the carerecipient's perspective. Appropriate 'salutogenic' support reduces SRDs/GRDs, makes available SRRs/GRRs usable or provides alternative SRRs/GRRs, thereby dyadic tension management and dyadic functionality is preserved during this phase of life labelled Caregivinghood. The study adds new knowledge to the salutogenic framework regarding central, theoretical concepts and suggests how data for health promoting initiatives conducted the 'salutogenic way' may be acquired.
Prediction-based dynamic load-sharing heuristics
NASA Technical Reports Server (NTRS)
Goswami, Kumar K.; Devarakonda, Murthy; Iyer, Ravishankar K.
1993-01-01
The authors present dynamic load-sharing heuristics that use predicted resource requirements of processes to manage workloads in a distributed system. A previously developed statistical pattern-recognition method is employed for resource prediction. While nonprediction-based heuristics depend on a rapidly changing system status, the new heuristics depend on slowly changing program resource usage patterns. Furthermore, prediction-based heuristics can be more effective since they use future requirements rather than just the current system state. Four prediction-based heuristics, two centralized and two distributed, are presented. Using trace driven simulations, they are compared against random scheduling and two effective nonprediction based heuristics. Results show that the prediction-based centralized heuristics achieve up to 30 percent better response times than the nonprediction centralized heuristic, and that the prediction-based distributed heuristics achieve up to 50 percent improvements relative to their nonprediction counterpart.
Virtual Network Configuration Management System for Data Center Operations and Management
NASA Astrophysics Data System (ADS)
Okita, Hideki; Yoshizawa, Masahiro; Uehara, Keitaro; Mizuno, Kazuhiko; Tarui, Toshiaki; Naono, Ken
Virtualization technologies are widely deployed in data centers to improve system utilization. However, they increase the workload for operators, who have to manage the structure of virtual networks in data centers. A virtual-network management system which automates the integration of the configurations of the virtual networks is provided. The proposed system collects the configurations from server virtualization platforms and VLAN-supported switches, and integrates these configurations according to a newly developed XML-based management information model for virtual-network configurations. Preliminary evaluations show that the proposed system helps operators by reducing the time to acquire the configurations from devices and correct the inconsistency of operators' configuration management database by about 40 percent. Further, they also show that the proposed system has excellent scalability; the system takes less than 20 minutes to acquire the virtual-network configurations from a large scale network that includes 300 virtual machines. These results imply that the proposed system is effective for improving the configuration management process for virtual networks in data centers.
An Integrated Tool Suite for En Route Radar Controllers in NextGen
NASA Technical Reports Server (NTRS)
Mercer, Joey; Prevot, Thomas; Brasil, Connie; Mainini, Matthew; Kupfer, Michael; Smtih, Nancy
2010-01-01
This paper describes recent human-in-the-loop research in the Airspace Operations Laboratory at the NASA Ames Research Center focusing on en route air traffic management with advanced trajectory planning tools and increased levels of human-automation cooperation. The decision support tools were exercised in a simulation of seven contiguous high-altitude sectors. Preliminary data suggests the controllers were able to manage higher amounts of traffic as compared to today, while maintaining acceptable levels of workload.
Workforce issues in nursing in Queensland: 2001 and 2004.
Hegney, Desley; Eley, Robert; Plank, Ashley; Buikstra, Elizabeth; Parker, Victoria
2006-12-01
The aim of the study was to identify the factors having an impact upon nursing work and to use the results to inform strategic planning of the Queensland Nurses Union. In 2001 and 2004, a study was undertaken to gather data on the level of satisfaction of nurses with their working life. This paper reports the 2004 results on workload, skill mix, remuneration and morale. Where applicable, the results are compared with 2001 data. A questionnaire was mailed to 3000 Assistants-in-Nursing, Enrolled and Registered Nurses in October 2004. All participants were members of the Queensland Nurses Union. The results are reported in three sectors - public, private and aged care. A total of 1349 nurses responded to the survey, a response rate of 45%. Nurses in the 2004 study believed: their workload was heavy; their skills and experience poorly rewarded; work stress was high; morale was perceived to be poor and, similar to 2001, deteriorating; the skill mix was often inadequate; and the majority of nurses were unable to complete their work in the time available. Nursing morale was found to be associated with autonomy, workplace equipment, workplace safety, teamwork, work stress, the physical demand of nursing work, workload, rewards for skills and experience, career prospects, status of nursing and remuneration. Overall the findings of the study are consistent with those determined by the 2001 survey. The findings of this study indicate the importance of factors such as workplace autonomy, teamwork, the levels of workplace stress, workload and remuneration on nursing morale. The data also indicate that workplace safety and workplace morale are linked. These findings provide information for policy makers and nurse managers on areas that need to be addressed to retain nurses within aged care, acute hospital and community nursing.
Electronic Health Record Alert-Related Workload as a Predictor of Burnout in Primary Care Providers.
Gregory, Megan E; Russo, Elise; Singh, Hardeep
2017-07-05
Electronic health records (EHRs) have been shown to increase physician workload. One EHR feature that contributes to increased workload is asynchronous alerts (also known as inbox notifications) related to test results, referral responses, medication refill requests, and messages from physicians and other health care professionals. This alert-related workload results in negative cognitive outcomes, but its effect on affective outcomes, such as burnout, has been understudied. To examine EHR alert-related workload (both objective and subjective) as a predictor of burnout in primary care providers (PCPs), in order to ultimately inform interventions aimed at reducing burnout due to alert workload. A cross-sectional questionnaire and focus group of 16 PCPs at a large medical center in the southern United States. Subjective, but not objective, alert workload was related to two of the three dimensions of burnout, including physical fatigue (p = 0.02) and cognitive weariness (p = 0.04), when controlling for organizational tenure. To reduce alert workload and subsequent burnout, participants indicated a desire to have protected time for alert management, fewer unnecessary alerts, and improvements to the EHR system. Burnout associated with alert workload may be in part due to subjective differences at an individual level, and not solely a function of the objective work environment. This suggests the need for both individual and organizational-level interventions to improve alert workload and subsequent burnout. Additional research should confirm these findings in larger, more representative samples.
NASA Technical Reports Server (NTRS)
Horst, Richard L.; Mahaffey, David L.; Munson, Robert C.
1989-01-01
The present Phase 2 small business innovation research study was designed to address issues related to scalp-recorded event-related potential (ERP) indices of mental workload and to transition this technology from the laboratory to cockpit simulator environments for use as a systems engineering tool. The project involved five main tasks: (1) Two laboratory studies confirmed the generality of the ERP indices of workload obtained in the Phase 1 study and revealed two additional ERP components related to workload. (2) A task analysis' of flight scenarios and pilot tasks in the Advanced Concepts Flight Simulator (ACFS) defined cockpit events (i.e., displays, messages, alarms) that would be expected to elicit ERPs related to workload. (3) Software was developed to support ERP data analysis. An existing ARD-proprietary package of ERP data analysis routines was upgraded, new graphics routines were developed to enhance interactive data analysis, and routines were developed to compare alternative single-trial analysis techniques using simulated ERP data. (4) Working in conjunction with NASA Langley research scientists and simulator engineers, preparations were made for an ACFS validation study of ERP measures of workload. (5) A design specification was developed for a general purpose, computerized, workload assessment system that can function in simulators such as the ACFS.
Street, A; Strong, J; Karp, S
2001-01-01
One of the most frequently cited reasons for poor recruitment to multicentre randomized clinical trials is the additional workload placed on clinical staff. We report the effect on patient recruitment of employing a data manager to support clinical staff in an English district general hospital (DGH). In addition, we explore the effect data managers have on the quality of data collected, proxied by the number of queries arising with the trial organizers. We estimate that the cost of employing a data manager on a full-time basis is 502 per patient recruited but may amount to 326 if the appointment is part-time. Data quality is high when full responsibility lies with a data manager but falls when responsibility is shared. Whether the costs of employing a data manager to recruit patients from a DGH are worth incurring depends on the value placed on the speed at which multicentre trials can be completed, how important it is to broaden the research base beyond the traditional setting of teaching hospitals, and the amount of evaluative data required.
Online EEG-Based Workload Adaptation of an Arithmetic Learning Environment.
Walter, Carina; Rosenstiel, Wolfgang; Bogdan, Martin; Gerjets, Peter; Spüler, Martin
2017-01-01
In this paper, we demonstrate a closed-loop EEG-based learning environment, that adapts instructional learning material online, to improve learning success in students during arithmetic learning. The amount of cognitive workload during learning is crucial for successful learning and should be held in the optimal range for each learner. Based on EEG data from 10 subjects, we created a prediction model that estimates the learner's workload to obtain an unobtrusive workload measure. Furthermore, we developed an interactive learning environment that uses the prediction model to estimate the learner's workload online based on the EEG data and adapt the difficulty of the learning material to keep the learner's workload in an optimal range. The EEG-based learning environment was used by 13 subjects to learn arithmetic addition in the octal number system, leading to a significant learning effect. The results suggest that it is feasible to use EEG as an unobtrusive measure of cognitive workload to adapt the learning content. Further it demonstrates that a promptly workload prediction is possible using a generalized prediction model without the need for a user-specific calibration.
The Ambulatory Care Workload Management System for Nursing Reference Manual
1991-05-31
MEDICAL DATA SERVICES CENTER BETHESDA, MARYLAND 2088Q-506. 91-03029 SECuRItY CLASSIFICATION OF THIS PAGEr REPORT DOCUMENTATION PAGE Ia. REPORT SECURITY...ORGANIZATION 6b OFFICE SYMBOL 7a. NAME OF MONITORING ORGANIZATION Naval Medical Data Servics (If applicable) Center 6c. ADDRESS (City, State, and ZIPCode) 7b...staffing methodology developed for emergency and ambulatory care departments in naval medical treatment facilities . The staffing model translates varying
Defining the subjective experience of workload
NASA Technical Reports Server (NTRS)
Hart, S. G.; Childress, M. E.; Bortolussi, M.
1981-01-01
Flight scenarios that represent different types and levels of pilot workload are needed in order to conduct research about, and develop measures of, pilot workload. In order to be useful, however, the workload associated with such scenarios and the component tasks must be determined independently. An initial study designed to provide such information was conducted by asking a panel of general aviation pilots to evaluate flight-related tasks for the overall, perceptual, physical, and cognitive workload they impose. These ratings will provide the nucleus for a data base of flight-related primary tasks that have been independently rated for workload to use in workload assessment research.
Brossier, D; Villedieu, F; Letouzé, N; Pinto Da Costa, N; Jokic, M
2017-03-01
In routine practice, intensive care physicians rarely have to manage children under 18years of age, particularly those under 15. This study's objectives were to assess the quality of training in pediatrics of adult intensive care teams, to document the workload generated by care of pediatric patients, and to identify the difficulties encountered in managing minors as patients. A survey was administered in Lower Normandy from 4 April 2012 to 1 September 2012. Physicians, residents, nurses, and nurses' aides practicing in one of the nine intensive care units of Lower Normandy were asked to complete an electronic or paper format questionnaire. This questionnaire assessed their level of pediatric training, the workload management of pediatric patients entailed, and the challenges posed by these patients. One hundred and nine questionnaires were returned (by 26 attending physicians, 18 residents, 38 nurses, and 27 nurses' aides). Eighty-three of the respondents (76%) had no experience in a pediatric unit of any kind. Forty-two percent thought that the pediatric age range lies between 3months and 15years of age. However, more than 50% of respondents would like the upper limit to be 16years or even older. Ninety-three respondents (85%) estimated having some exposure to pediatric patients in their routine practice, but this activity remained quite low. Seventy-three (67%) reported difficulties with the management of these young patients. This survey provides current information regarding the level of training of adult intensive care unit professionals and their concerns about managing patients under 18years of age, both in terms of workload and specific challenges. Copyright © 2016 Elsevier Masson SAS. All rights reserved.
Modeling Relationships Between Flight Crew Demographics and Perceptions of Interval Management
NASA Technical Reports Server (NTRS)
Remy, Benjamin; Wilson, Sara R.
2016-01-01
The Interval Management Alternative Clearances (IMAC) human-in-the-loop simulation experiment was conducted to assess interval management system performance and participants' acceptability and workload while performing three interval management clearance types. Twenty-four subject pilots and eight subject controllers flew ten high-density arrival scenarios into Denver International Airport during two weeks of data collection. This analysis examined the possible relationships between subject pilot demographics on reported perceptions of interval management in IMAC. Multiple linear regression models were created with a new software tool to predict subject pilot questionnaire item responses from demographic information. General patterns were noted across models that may indicate flight crew demographics influence perceptions of interval management.
Pharmacy Practice Department Chairs’ Perspectives on Part-Time Faculty Members
Winkler, Susan R.; Mai, Thy
2012-01-01
Objective. To identify the benefits and consequences of having part-time faculty members in departments of pharmacy practice from the department chair’s perspective. Methods. A stratified purposive sample of 12 pharmacy practice department chairs was selected. Eleven telephone interviews were conducted. Two investigators independently read interview notes and categorized and enumerated responses to determine major themes using content analysis. The investigators jointly reviewed the data and came to consensus on major themes. Results. Benefits of allowing full-time faculty members to reduce their position to part-time included faculty retention and improved individual faculty work/life balance. Consequences of allowing part-time faculty positions included the challenges of managing individual and departmental workloads, the risk of marginalizing part-time faculty members, and the challenges of promotion and tenure issues. All requests to switch to part-time status were faculty-driven and most were approved. Conclusions. There are a variety of benefits and consequences of having part-time faculty in pharmacy practice departments from the chair’s perspective. Clear faculty and departmental expectations of part-time faculty members need to be established to ensure optimal success of this working arrangement. PMID:22611268
A Queue Simulation Tool for a High Performance Scientific Computing Center
NASA Technical Reports Server (NTRS)
Spear, Carrie; McGalliard, James
2007-01-01
The NASA Center for Computational Sciences (NCCS) at the Goddard Space Flight Center provides high performance highly parallel processors, mass storage, and supporting infrastructure to a community of computational Earth and space scientists. Long running (days) and highly parallel (hundreds of CPUs) jobs are common in the workload. NCCS management structures batch queues and allocates resources to optimize system use and prioritize workloads. NCCS technical staff use a locally developed discrete event simulation tool to model the impacts of evolving workloads, potential system upgrades, alternative queue structures and resource allocation policies.
Library Faculty Workload: A Case Study in Implementing a Teaching Faculty Model.
ERIC Educational Resources Information Center
Goudy, Frank Wm.
In the January 1988 issue of "Library Administration & Management," an article titled "The Dilemma of Library Faculty Workload: One Solution" described the efforts of the library faculty at Western Illinois University to achieve a more equitable situation compared to other faculty on the campus. A totally new approach to…
Implications for Academic Workload of the Changing Role of Distance Educators
ERIC Educational Resources Information Center
Bezuidenhout, Adéle
2015-01-01
The changing work roles and resulting workloads of distance educators hold significant implications for the wellbeing and mental health of academics. New work roles include redesigning curricula for online delivery, increasing staff-student ratios and demands for student-support, management of part-time staff, and 24-h availability. This research…
Women and Academic Workloads: Career Slow Lane or Cul-de-Sac?
ERIC Educational Resources Information Center
Barrett, Lucinda; Barrett, Peter
2011-01-01
Career progression for women academics to higher levels is not in proportion to their representation within the profession. This paper looks at theories about this and relates them to current practices within universities for allocating work. The management of workloads can disadvantage women through a number of interactive factors. Interruptions…
Curriculum Change Management and Workload
ERIC Educational Resources Information Center
Alkahtani, Aishah
2017-01-01
This study examines the ways in which Saudi teachers have responded or are responding to the challenges posed by a new curriculum. It also deals with issues relating to workload demands which affect teachers' performance when they apply a new curriculum in a Saudi Arabian secondary school. In addition, problems such as scheduling and sharing space…
Cotes-Ruiz, Iván Tomás; Prado, Rocío P.; García-Galán, Sebastián; Muñoz-Expósito, José Enrique; Ruiz-Reyes, Nicolás
2017-01-01
Nowadays, the growing computational capabilities of Cloud systems rely on the reduction of the consumed power of their data centers to make them sustainable and economically profitable. The efficient management of computing resources is at the heart of any energy-aware data center and of special relevance is the adaptation of its performance to workload. Intensive computing applications in diverse areas of science generate complex workload called workflows, whose successful management in terms of energy saving is still at its beginning. WorkflowSim is currently one of the most advanced simulators for research on workflows processing, offering advanced features such as task clustering and failure policies. In this work, an expected power-aware extension of WorkflowSim is presented. This new tool integrates a power model based on a computing-plus-communication design to allow the optimization of new management strategies in energy saving considering computing, reconfiguration and networks costs as well as quality of service, and it incorporates the preeminent strategy for on host energy saving: Dynamic Voltage Frequency Scaling (DVFS). The simulator is designed to be consistent in different real scenarios and to include a wide repertory of DVFS governors. Results showing the validity of the simulator in terms of resources utilization, frequency and voltage scaling, power, energy and time saving are presented. Also, results achieved by the intra-host DVFS strategy with different governors are compared to those of the data center using a recent and successful DVFS-based inter-host scheduling strategy as overlapped mechanism to the DVFS intra-host technique. PMID:28085932
Cotes-Ruiz, Iván Tomás; Prado, Rocío P; García-Galán, Sebastián; Muñoz-Expósito, José Enrique; Ruiz-Reyes, Nicolás
2017-01-01
Nowadays, the growing computational capabilities of Cloud systems rely on the reduction of the consumed power of their data centers to make them sustainable and economically profitable. The efficient management of computing resources is at the heart of any energy-aware data center and of special relevance is the adaptation of its performance to workload. Intensive computing applications in diverse areas of science generate complex workload called workflows, whose successful management in terms of energy saving is still at its beginning. WorkflowSim is currently one of the most advanced simulators for research on workflows processing, offering advanced features such as task clustering and failure policies. In this work, an expected power-aware extension of WorkflowSim is presented. This new tool integrates a power model based on a computing-plus-communication design to allow the optimization of new management strategies in energy saving considering computing, reconfiguration and networks costs as well as quality of service, and it incorporates the preeminent strategy for on host energy saving: Dynamic Voltage Frequency Scaling (DVFS). The simulator is designed to be consistent in different real scenarios and to include a wide repertory of DVFS governors. Results showing the validity of the simulator in terms of resources utilization, frequency and voltage scaling, power, energy and time saving are presented. Also, results achieved by the intra-host DVFS strategy with different governors are compared to those of the data center using a recent and successful DVFS-based inter-host scheduling strategy as overlapped mechanism to the DVFS intra-host technique.
Multi-core processing and scheduling performance in CMS
NASA Astrophysics Data System (ADS)
Hernández, J. M.; Evans, D.; Foulkes, S.
2012-12-01
Commodity hardware is going many-core. We might soon not be able to satisfy the job memory needs per core in the current single-core processing model in High Energy Physics. In addition, an ever increasing number of independent and incoherent jobs running on the same physical hardware not sharing resources might significantly affect processing performance. It will be essential to effectively utilize the multi-core architecture. CMS has incorporated support for multi-core processing in the event processing framework and the workload management system. Multi-core processing jobs share common data in memory, such us the code libraries, detector geometry and conditions data, resulting in a much lower memory usage than standard single-core independent jobs. Exploiting this new processing model requires a new model in computing resource allocation, departing from the standard single-core allocation for a job. The experiment job management system needs to have control over a larger quantum of resource since multi-core aware jobs require the scheduling of multiples cores simultaneously. CMS is exploring the approach of using whole nodes as unit in the workload management system where all cores of a node are allocated to a multi-core job. Whole-node scheduling allows for optimization of the data/workflow management (e.g. I/O caching, local merging) but efficient utilization of all scheduled cores is challenging. Dedicated whole-node queues have been setup at all Tier-1 centers for exploring multi-core processing workflows in CMS. We present the evaluation of the performance scheduling and executing multi-core workflows in whole-node queues compared to the standard single-core processing workflows.
UNIX-based operating systems robustness evaluation
NASA Technical Reports Server (NTRS)
Chang, Yu-Ming
1996-01-01
Robust operating systems are required for reliable computing. Techniques for robustness evaluation of operating systems not only enhance the understanding of the reliability of computer systems, but also provide valuable feed- back to system designers. This thesis presents results from robustness evaluation experiments on five UNIX-based operating systems, which include Digital Equipment's OSF/l, Hewlett Packard's HP-UX, Sun Microsystems' Solaris and SunOS, and Silicon Graphics' IRIX. Three sets of experiments were performed. The methodology for evaluation tested (1) the exception handling mechanism, (2) system resource management, and (3) system capacity under high workload stress. An exception generator was used to evaluate the exception handling mechanism of the operating systems. Results included exit status of the exception generator and the system state. Resource management techniques used by individual operating systems were tested using programs designed to usurp system resources such as physical memory and process slots. Finally, the workload stress testing evaluated the effect of the workload on system performance by running a synthetic workload and recording the response time of local and remote user requests. Moderate to severe performance degradations were observed on the systems under stress.
Workload of Team Leaders and Team Members During a Simulated Sepsis Scenario.
Tofil, Nancy M; Lin, Yiqun; Zhong, John; Peterson, Dawn Taylor; White, Marjorie Lee; Grant, Vincent; Grant, David J; Gottesman, Ronald; Sudikoff, Stephanie N; Adler, Mark; Marohn, Kimberly; Davidson, Jennifer; Cheng, Adam
2017-09-01
Crisis resource management principles dictate appropriate distribution of mental and/or physical workload so as not to overwhelm any one team member. Workload during pediatric emergencies is not well studied. The National Aeronautics and Space Administration-Task Load Index is a multidimensional tool designed to assess workload validated in multiple settings. Low workload is defined as less than 40, moderate 40-60, and greater than 60 signify high workloads. Our hypothesis is that workload among both team leaders and team members is moderate to high during a simulated pediatric sepsis scenario and that team leaders would have a higher workload than team members. Multicenter observational study. Nine pediatric simulation centers (five United States, three Canada, and one United Kingdom). Team leaders and team members during a 12-minute pediatric sepsis scenario. National Aeronautics and Space Administration-Task Load Index. One hundred twenty-seven teams were recruited from nine sites. One hundred twenty-seven team leaders and 253 team members completed the National Aeronautics and Space Administration-Task Load Index. Team leader had significantly higher overall workload than team member (51 ± 11 vs 44 ± 13; p < 0.01). Team leader had higher workloads in all subcategories except in performance where the values were equal and in physical demand where team members were higher than team leaders (29 ± 22 vs 18 ± 16; p < 0.01). The highest category for each group was mental 73 ± 13 for team leader and 60 ± 20 for team member. For team leader, two categories, mental (73 ± 17) and effort (66 ± 16), were high workload, most domains for team member were moderate workload levels. Team leader and team member are under moderate workloads during a pediatric sepsis scenario with team leader under high workloads (> 60) in the mental demand and effort subscales. Team leader average significantly higher workloads. Consideration of decreasing team leader responsibilities may improve team workload distribution.
75 FR 80470 - Pacific Fishery Management Council; Public Meeting
Federal Register 2010, 2011, 2012, 2013, 2014
2010-12-22
... Pacific Fishery Management Council's (Council) Groundfish Management Team (GMT) will hold a working... session is to review team roles and responsibilities, conduct workload planning for 2011, review the...
EEG Estimates of Cognitive Workload and Engagement Predict Math Problem Solving Outcomes
ERIC Educational Resources Information Center
Beal, Carole R.; Galan, Federico Cirett
2012-01-01
In the present study, the authors focused on the use of electroencephalography (EEG) data about cognitive workload and sustained attention to predict math problem solving outcomes. EEG data were recorded as students solved a series of easy and difficult math problems. Sequences of attention and cognitive workload estimates derived from the EEG…
From trees to forest: relational complexity network and workload of air traffic controllers.
Zhang, Jingyu; Yang, Jiazhong; Wu, Changxu
2015-01-01
In this paper, we propose a relational complexity (RC) network framework based on RC metric and network theory to model controllers' workload in conflict detection and resolution. We suggest that, at the sector level, air traffic showing a centralised network pattern can provide cognitive benefits in visual search and resolution decision which will in turn result in lower workload. We found that the network centralisation index can account for more variance in predicting perceived workload and task completion time in both a static conflict detection task (Study 1) and a dynamic one (Study 2) in addition to other aircraft-level and pair-level factors. This finding suggests that linear combination of aircraft-level or dyad-level information may not be adequate and the global-pattern-based index is necessary. Theoretical and practical implications of using this framework to improve future workload modelling and management are discussed. We propose a RC network framework to model the workload of air traffic controllers. The effect of network centralisation was examined in both a static conflict detection task and a dynamic one. Network centralisation was predictive of perceived workload and task completion time over and above other control variables.
Medina-Valverde, M José; Rodríguez-Borrego, M Aurora; Luque-Alcaraz, Olga; de la Torre-Barbero, M José; Parra-Perea, Julia; Moros-Molina, M del Pilar
2012-01-01
To identify problems and critical points in the software application. Assessment of the implementation of the software tool "Azahar" used to manage nursing care processes. The monitored population consisted of nurses who were users of the tool, at the Hospital and those who benefited from it in Primary Care. Each group was selected randomly and the number was determined by data saturation. A qualitative approach was employed using in-depth interviews and group discussion as data collection techniques. The nurses considered that the most beneficial and useful application of the tool was the initial assessment and the continuity of care release forms, as well as the recording of all data on the nursing process to ensure quality. The disadvantages and weaknesses identified were associated with the continuous variability in their daily care. The nurses related an increase in workload with the impossibility of entering the records into the computer, making paper records, thus duplicating the recording process. Likewise, they consider that the operating system of the software should be improved in terms of simplicity and functionality. The simplicity of the tool and the adjustment of workloads would favour its use and as a result, continuity of care. Copyright © 2010 Elsevier España, S.L. All rights reserved.
Namaganda, Grace; Oketcho, Vincent; Maniple, Everd; Viadro, Claire
2015-08-31
Uganda's health workforce is characterized by shortages and inequitable distribution of qualified health workers. To ascertain staffing levels, Uganda uses fixed government-approved norms determined by facility type. This approach cannot distinguish between facilities of the same type that have different staffing needs. The Workload Indicators of Staffing Need (WISN) method uses workload to determine number and type of staff required in a given facility. The national WISN assessment sought to demonstrate the limitations of the existing norms and generate evidence to influence health unit staffing and staff deployment for efficient utilization of available scarce human resources. A national WISN assessment (September 2012) used purposive sampling to select 136 public health facilities in 33/112 districts. The study examined staffing requirements for five cadres (nursing assistants, nurses, midwives, clinical officers, doctors) at health centres II (n = 59), III (n = 53) and IV (n = 13) and hospitals (n = 11). Using health management information system workload data (1 July 2010-30 June 2011), the study compared current and required staff, assessed workload pressure and evaluated the adequacy of the existing staffing norms. By the WISN method, all three types of health centres had fewer nurses (42-70%) and midwives (53-67%) than required and consequently exhibited high workload pressure (30-58%) for those cadres. Health centres IV and hospitals lacked doctors (39-42%) but were adequately staffed with clinical officers. All facilities displayed overstaffing of nursing assistants. For all cadres at health centres III and IV other than nursing assistants, the fixed norms or existing staffing or both fell short of the WISN staffing requirements, with, for example, only half as many nurses and midwives as required. The WISN results demonstrate the inadequacies of existing staffing norms, particularly for health centres III and IV. The results provide an evidence base to reshape policy, adopt workload-based norms, review scopes of practice and target human resource investments. In the near term, the government could redistribute existing health workers to improve staffing equity in line with the WISN results. Longer term revision of staffing norms and investments to effectively reflect actual workloads and ensure provision of quality services at all levels is needed.
Li, Tongtong; Lei, Trudy; Sun, Fiona; Xie, Zheng
2017-04-18
To strengthen rural health workforce, the Chinese government has launched a series of policies to promote the job satisfaction of village doctors since the health sector reform. The purpose of this mixed-method study is to describe village doctors' job satisfaction under the context of health sector reform and investigate the associated factors. Data was obtained from a survey of village doctors across three Chinese provinces in 2014. Using a multistage sampling process, quantitative data was collected from village doctors through the self-administered questionnaire and analyzed by multilevel logistic regression models. Qualitative data was collected through face-to-face semi-structured interviews on both village doctors and health managers. Theoretical coding was then conducted to analyze qualitative data. Among the 1221 respondents, 48.6% felt satisfied with their job. Older village doctors with less of a workload and under high-level integrated management were more likely to feel satisfied with their job. Village doctors who earned the top level of monthly income felt more satisfied, while on the county level, those who lived in counties with the highest GDP felt less satisfied. However, enrollment in a pension plan showed no significant difference in regards to village doctors' job satisfaction. Among 34 participants of qualitative interviews, most believed that age, income, and integrated management had a positive influence on the job satisfaction, while pension plan and basic public health care policies exhibited negative effects. Also, the increasing in availability of healthcare and health resources along with local economic development had negative effects on village doctors' job satisfaction. Village doctors' job satisfaction was quite low in regards to several determinants including age, income, workload, enrollment in a pension plan, integrated management, and county economic and medical availability development.
Korshøj, Mette; Krustrup, Peter; Jørgensen, Marie Birk; Prescott, Eva; Hansen, Åse Marie; Kristiansen, Jesper; Skotte, Jørgen Henrik; Mortensen, Ole Steen; Søgaard, Karen; Holtermann, Andreas
2012-08-13
Prevalence of cardiovascular risk factors is unevenly distributed among occupational groups. The working environment, as well as lifestyle and socioeconomic status contribute to the disparity and variation in prevalence of these risk factors. High physical work demands have been shown to increase the risk for cardiovascular disease and mortality, contrary to leisure time physical activity. High physical work demands in combination with a low cardiorespiratory fitness infer a high relative workload and an excessive risk for cardiovascular mortality. Therefore, the aim of this study is to examine whether a worksite aerobic exercise intervention will reduce the relative workload and cardiovascular risk factors by an increased cardiorespiratory fitness. A cluster-randomized controlled trial is performed to evaluate the effect of the worksite aerobic exercise intervention on cardiorespiratory fitness and cardiovascular risk factors among cleaners. Cleaners are eligible if they are employed ≥ 20 hours/week, at one of the enrolled companies. In the randomization, strata are formed according to the manager the participant reports to. The clusters will be balanced on the following criteria: Geographical work location, gender, age and seniority. Cleaners are randomized to either I) a reference group, receiving lectures concerning healthy living, or II) an intervention group, performing worksite aerobic exercise "60 min per week". Data collection will be conducted at baseline, four months and 12 months after baseline, at the worksite during working hours. The data collection will consist of a questionnaire-based interview, physiological testing of health and capacity-related measures, and objective diurnal measures of heart rate, physical activity and blood pressure. Primary outcome is cardiorespiratory fitness. Information is lacking about whether an improved cardiorespiratory fitness will affect the cardiovascular health, and additionally decrease the objectively measured relative workload, in a population with high physical work demands. Previous intervention studies have lacked robust objective measurements of the relative workload and physical work demands. This study will monitor the relative workload and general physical activity before, during after the intervention, and contribute to the understanding of the previously observed opposing effects on cardiovascular health and mortality from occupational and leisure time physical activity. The study is registered as ISRCTN86682076.
Flight deck crew coordination indices of workload and situation awareness in terminal operations
NASA Astrophysics Data System (ADS)
Ellis, Kyle Kent Edward
Crew coordination in the context of aviation is a specifically choreographed set of tasks performed by each pilot, defined for each phase of flight. Based on the constructs of effective Crew Resource Management and SOPs for each phase of flight, a shared understanding of crew workload and task responsibility is considered representative of well-coordinated crews. Nominal behavior is therefore defined by SOPs and CRM theory, detectable through pilot eye-scan. This research investigates the relationship between the eye-scan exhibited by each pilot and the level of coordination between crewmembers. Crew coordination was evaluated based on each pilot's understanding of the other crewmember's workload. By contrasting each pilot's workload-understanding, crew coordination was measured as the summed absolute difference of each pilot's understanding of the other crewmember's reported workload, resulting in a crew coordination index. The crew coordination index rates crew coordination on a scale ranging across Excellent, Good, Fair and Poor. Eye-scan behavior metrics were found to reliably identify a reduction in crew coordination. Additionally, crew coordination was successfully characterized by eye-scan behavior data using machine learning classification methods. Identifying eye-scan behaviors on the flight deck indicative of reduced crew coordination can be used to inform training programs and design enhanced avionics that improve the overall coordination between the crewmembers and the flight deck interface. Additionally, characterization of crew coordination can be used to develop methods to increase shared situation awareness and crew coordination to reduce operational and flight technical errors. Ultimately, the ability to reduce operational and flight technical errors made by pilot crews improves the safety of aviation.
Mayhew, Susannah H; Warren, Charlotte E; Collumbien, Martine; Ndwiga, Charity; Mutemwa, Richard; Lut, Irina; Colombini, Manuela; Vassall, Anna
2017-01-01
Abstract Drawing on rich data from the Integra evaluation of integrated HIV and reproductive-health services, we explored the interaction of systems hardware and software factors to explain why some facilities were able to implement and sustain integrated service delivery while others were not. This article draws on detailed mixed-methods data for four case-study facilities offering reproductive-health and HIV services between 2009 and 2013 in Kenya: (i) time-series client flow, tracking service uptake for 8841 clients; (ii) structured questionnaires with 24 providers; (iii) in-depth interviews with 17 providers; (iv) workload and facility data using a periodic activity review and cost-instruments; and (v) contextual data on external activities related to integration in study sites. Overall, our findings suggested that although structural factors like stock-outs, distribution of staffing and workload, rotation of staff can affect how integrated care is provided, all these factors can be influenced by staff themselves: both frontline and management. Facilities where staff displayed agency of decision making, worked as a team to share workload and had management that supported this, showed better integration delivery and staff were able to overcome some structural deficiencies to enable integrated care. Poor-performing facilities had good structural integration, but staff were unable to utilize this because they were poorly organized, unsupported or teams were dysfunctional. Conscientious objection and moralistic attitudes were also barriers. Integra has demonstrated that structural integration is not sufficient for integrated service delivery. Rather, our case studies show that in some cases excellent leadership and peer-teamwork enabled facilities to perform well despite resource shortages. The ability to provide support for staff to work flexibly to deliver integrated services and build resilient health systems to meet changing needs is particularly relevant as health systems face challenges of changing burdens of disease, climate change, epidemic outbreaks and more. PMID:29194544
Effect of Dynamic Sector Boundary Changes on Air Traffic Controllers
NASA Technical Reports Server (NTRS)
Jung, Jaewoo; Lee, Paul; Kessell, Angela; Homola, Jeff; Zelinski, Shannon
2010-01-01
The effect of dynamic sector boundary changes on air traffic controller workload was investigated with data from a human-in-the-loop simulation. Multiple boundary changes were made during simulated operations, and controller rating of workload was recorded. Analysis of these data showed an increase of 16.9% in controller workload due to boundary changes. This increased workload was correlated with the number of aircraft handoffs and change in sector volume. There was also a 12.7% increase in average workload due to the changed sector design after boundary changes. This increase was correlated to traffic flow crossing points getting closer to sector boundaries and an increase in the number of flights with short dwell time in a sector. This study has identified some of the factors that affect controller workload when sector boundaries are changed, but more research is needed to better understand their relationships.
FireFly: reconfigurable optical wireless networking data centers
NASA Astrophysics Data System (ADS)
Kavehrad, Mohsen; Deng, Peng; Gupta, H.; Longtin, J.; Das, S. R.; Sekar, V.
2017-01-01
We explore a novel, free-space optics based approach for building data center interconnects. Data centers (DCs) are a critical piece of today's networked applications in both private and public sectors. The key factors that have driven this trend are economies of scale, reduced management costs, better utilization of hardware via statistical multiplexing, and the ability to elastically scale applications in response to changing workload patterns. A robust DC network fabric is fundamental to the success of DCs and to ensure that the network does not become a bottleneck for high-performance applications. In this context, DC network design must satisfy several goals: high performance (e.g., high throughput and low latency), low equipment and management cost, robustness to dynamic traffic patterns, incremental expandability to add new servers or racks, and other practical concerns such as cabling complexity, and power and cooling costs. Current DC network architectures do not seem to provide a satisfactory solution, with respect to the above requirements. In particular, traditional static (wired) networks are either overprovisioned or oversubscribed. Recent works have tried to overcome the above limitations by augmenting a static (wired) "core" with some flexible links (RF-wireless or optical). These augmented architectures show promise, but offer only incremental improvement in performance. Specifically, RFwireless based augmented solutions also offer only limited performance improvement, due to inherent interference and range constraints of RF links. This paper explores an alternative design point—a fully flexible and all-wireless DC interrack network based on free-space optical (FSO) links. We call this FireFly as in; Free-space optical Inter-Rack nEtwork with high FLexibilitY. We will present our designs and tests using various configurations that can help the performance and reliability of the FSO links.
VanGeest, Jonathan; Weiner, Saul; Johnson, Timothy; Cummins, Deborah
2007-07-01
To develop and test an explanatory model of the impact of managed care on physicians' decisions to manipulate reimbursement rules for patients. A self-administered mailed questionnaire of a national random sample of 1124 practicing physicians in the USA. Structural equation modelling was used. The main outcome measure assessed whether or not physicians had manipulated reimbursement rules (such as exaggerated the severity of patients conditions, changed billing diagnoses, or reported signs or symptoms that the patients did not have) to help patients secure coverage for needed treatment or services. The response rate was 64% (n = 720). Physicians' decisions to manipulate reimbursement rules for patients are directly driven not only by ethical beliefs about gaming the system but also by requests from patients, the perception of insufficient time to deliver care, and the proportion of Medicaid patients. Covert advocacy is also the indirect result of utilization review hassles, primary care specialty, and practice environment. Managed care is not just a set of rules that physicians choose to follow or disobey, but an environment of competing pressures from patients, purchasers, and high workload. Reimbursement manipulation is a response to that environment, rather than simply a reflection of individual physicians' values.
Karanika-Murray, Maria; Bartholomew, Kimberley J; Williams, Glenn A; Cox, Tom
2015-01-02
Leader-Member Exchange (LMX) theory suggests that the quality of the leader-employee relationship is linked to employee psychological health. Leaders who reside at different hierarchical levels have unique roles and spheres of influence and potentially affect employees' work experiences in different ways. Nevertheless, research on the impact of leadership on employee psychological health has largely viewed leaders as a homogeneous group. Expanding on LMX theory, we argue that (1) LMX sourced at the levels of the line manager (LM) and senior management (SM) team will be differentially linked to employee psychological health (assessed as worn-out) and that (2) these relationships will be mediated by perceived work characteristics (reward and recognition, workload management, quality of relationships with colleagues and physical environment). Structural equation modelling on data from 337 manual workers partially supported the hypotheses. Perceptions of the physical environment mediated the relationship between LMX at the LM level and employee psychological health, whereas perceptions of workload management mediated the relationship between LMX at the SM level and psychological health. These findings corroborate arguments that leaders are not a uniform group and as such the effects of LMX on employees will depend on leadership hierarchy. Implications for expanding leadership theory are discussed.
Karanika-Murray, Maria; Bartholomew, Kimberley J.; Williams, Glenn A.; Cox, Tom
2015-01-01
Leader-Member Exchange (LMX) theory suggests that the quality of the leader–employee relationship is linked to employee psychological health. Leaders who reside at different hierarchical levels have unique roles and spheres of influence and potentially affect employees' work experiences in different ways. Nevertheless, research on the impact of leadership on employee psychological health has largely viewed leaders as a homogeneous group. Expanding on LMX theory, we argue that (1) LMX sourced at the levels of the line manager (LM) and senior management (SM) team will be differentially linked to employee psychological health (assessed as worn-out) and that (2) these relationships will be mediated by perceived work characteristics (reward and recognition, workload management, quality of relationships with colleagues and physical environment). Structural equation modelling on data from 337 manual workers partially supported the hypotheses. Perceptions of the physical environment mediated the relationship between LMX at the LM level and employee psychological health, whereas perceptions of workload management mediated the relationship between LMX at the SM level and psychological health. These findings corroborate arguments that leaders are not a uniform group and as such the effects of LMX on employees will depend on leadership hierarchy. Implications for expanding leadership theory are discussed. PMID:25999635
A novel approach to optimize workflow in grid-based teleradiology applications.
Yılmaz, Ayhan Ozan; Baykal, Nazife
2016-01-01
This study proposes an infrastructure with a reporting workflow optimization algorithm (RWOA) in order to interconnect facilities, reporting units and radiologists on a single access interface, to increase the efficiency of the reporting process by decreasing the medical report turnaround time and to increase the quality of medical reports by determining the optimum match between the inspection and radiologist in terms of subspecialty, workload and response time. Workflow centric network architecture with an enhanced caching, querying and retrieving mechanism is implemented by seamlessly integrating Grid Agent and Grid Manager to conventional digital radiology systems. The inspection and radiologist attributes are modelled using a hierarchical ontology structure. Attribute preferences rated by radiologists and technical experts are formed into reciprocal matrixes and weights for entities are calculated utilizing Analytic Hierarchy Process (AHP). The assignment alternatives are processed by relation-based semantic matching (RBSM) and Integer Linear Programming (ILP). The results are evaluated based on both real case applications and simulated process data in terms of subspecialty, response time and workload success rates. Results obtained using simulated data are compared with the outcomes obtained by applying Round Robin, Shortest Queue and Random distribution policies. The proposed algorithm is also applied to a real case teleradiology application process data where medical reporting workflow was performed based on manual assignments by the chief radiologist for 6225 inspections. RBSM gives the highest subspecialty success rate and integrating ILP with RBSM ratings as RWOA provides a better response time and workload distribution success rate. RWOA based image delivery also prevents bandwidth, storage or hardware related stuck and latencies. When compared with a real case teleradiology application where inspection assignments were performed manually, the proposed solution was found to increase the experience success rate by 13.25%, workload success rate by 63.76% and response time success rate by 120%. The total response time in the real case application data was improved by 22.39%. Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.
Febir, Lawrence G; Baiden, Frank E; Agula, Justina; Delimini, Rupert K; Akpalu, Bright; Tivura, Mathilda; Amanfo, Nelson; Chandramohan, Daniel; Owusu-Agyei, Seth; Webster, Jayne
2015-04-23
Timely and appropriate management of febrile illness among children under five years of age will contribute to achieving Millennium Development Goal-4. The revised World Health Organization-Global Malaria Programme's policy on test-based management of malaria must integrate effectively into the Integrated Management of Childhood Illness (IMCI). This study reports on perceptions of health workers on the health system factors influencing effective delivery of test-based diagnosis of malaria with IMCI. A qualitative study was conducted among a range of health workers at different levels of the health system in the Brong Ahafo Region of Ghana. Interview transcripts were transferred into Nvivo 8 software for data management and analysis. A frame-work approach at two levels was used in the analysis, which included the processes required for implementation of test-based management of malaria and the health systems context. Forty-nine in-depth interviews were conducted. The National Health Insurance Scheme (NHIS) was perceived to have led to an increase in health facility attendance, thereby increasing the workload of health workers. Workload was reported as the main reason that health workers were not able to complete all of the examinations included in the IMCI algorithm. The NHIS financing guidelines were seen to be determining diagnosis and treatment practices by health-care givers. Concern was expressed about the erratic supply of malaria rapid diagnostic test kits (RDTs), the quality of RDTs related to potential false negative results when clinical symptoms were consistent with malaria. IMCI was seen as important but practically impossible to fully implement due to workload. Implementation of the WHO-revised IMCI guideline is confronted with a myriad of health systems challenges. The perceptions of front-line health workers on the accuracy and need for RDTs together with the capacity of health systems to support implementation plays a crucial role. The NHIS financing guidelines of diagnostics and treatments are influencing clinical decision-making in this setting. Further study is needed to understand the impact of the NHIS on the feasibility of integrating test-based management for malaria into the IMCI guidelines.
Team-based primary care: The medical assistant perspective.
Sheridan, Bethany; Chien, Alyna T; Peters, Antoinette S; Rosenthal, Meredith B; Brooks, Joanna Veazey; Singer, Sara J
Team-based care has the potential to improve primary care quality and efficiency. In this model, medical assistants (MAs) take a more central role in patient care and population health management. MAs' traditionally low status may give them a unique view on changing organizational dynamics and teamwork. However, little empirical work exists on how team-based organizational designs affect the experiences of low-status health care workers like MAs. The aim of this study was to describe how team-based primary care affects the experiences of MAs. A secondary aim was to explore variation in these experiences. In late 2014, the authors interviewed 30 MAs from nine primary care practices transitioning to team-based care. Interviews addressed job responsibilities, teamwork, implementation, job satisfaction, and learning. Data were analyzed using a thematic networks approach. Interviews also included closed-ended questions about workload and job satisfaction. Most MAs reported both a higher workload (73%) and a greater job satisfaction (86%) under team-based primary care. Interview data surfaced four mechanisms for these results, which suggested more fulfilling work and greater respect for the MA role: (a) relationships with colleagues, (b) involvement with patients, (c) sense of control, and (d) sense of efficacy. Facilitators and barriers to these positive changes also emerged. Team-based care can provide low-status health care workers with more fulfilling work and strengthen relationships across status lines. The extent of this positive impact may depend on supporting factors at the organization, team, and individual worker levels. To maximize the benefits of team-based care, primary care leaders should recognize the larger role that MAs play under this model and support them as increasingly valuable team members. Contingent on organizational conditions, practices may find MAs who are willing to manage the increased workload that often accompanies team-based care.
NASA Technical Reports Server (NTRS)
Hoh, Roger H.; Smith, James C.; Hinton, David A.
1987-01-01
An analytical and experimental research program was conducted to develop criteria for pilot interaction with advanced controls and displays in single pilot instrument flight rules (SPIFR) operations. The analytic phase reviewed fundamental considerations for pilot workload taking into account existing data, and using that data to develop a divided attention SPIFR pilot workload model. The pilot model was utilized to interpret the two experimental phases. The first experimental phase was a flight test program that evaluated pilot workload in the presence of current and near-term displays and autopilot functions. The second experiment was conducted on a King Air simulator, investigating the effects of co-pilot functions in the presence of very high SPIFR workload. The results indicate that the simplest displays tested were marginal for SPIFR operations. A moving map display aided the most in mental orientation, but had inherent deficiencies as a stand alone replacement for an HSI. Autopilot functions were highly effective for reducing pilot workload. The simulator tests showed that extremely high workload situations can be adequately handled when co-pilot functions are provided.
Data Bookkeeping Service 3 - Providing Event Metadata in CMS
DOE Office of Scientific and Technical Information (OSTI.GOV)
Giffels, Manuel; Guo, Y.; Riley, Daniel
The Data Bookkeeping Service 3 provides a catalog of event metadata for Monte Carlo and recorded data of the Compact Muon Solenoid (CMS) experiment at the Large Hadron Collider (LHC) at CERN, Geneva. It comprises all necessary information for tracking datasets, their processing history and associations between runs, files and datasets, on a large scale of about 200, 000 datasets and more than 40 million files, which adds up in around 700 GB of metadata. The DBS is an essential part of the CMS Data Management and Workload Management (DMWM) systems [1], all kind of data-processing like Monte Carlo production,more » processing of recorded event data as well as physics analysis done by the users are heavily relying on the information stored in DBS.« less
Metzger, Ulla; Parasuraman, Raja
2005-01-01
Future air traffic management concepts envisage shared decision-making responsibilities between controllers and pilots, necessitating that controllers be supported by automated decision aids. Even as automation tools are being introduced, however, their impact on the air traffic controller is not well understood. The present experiments examined the effects of an aircraft-to-aircraft conflict decision aid on performance and mental workload of experienced, full-performance level controllers in a simulated Free Flight environment. Performance was examined with both reliable (Experiment 1) and inaccurate automation (Experiment 2). The aid improved controller performance and reduced mental workload when it functioned reliably. However, detection of a particular conflict was better under manual conditions than under automated conditions when the automation was imperfect. Potential or actual applications of the results include the design of automation and procedures for future air traffic control systems.
Crew workload strategies in advanced cockpits
NASA Technical Reports Server (NTRS)
Hart, Sandra G.
1990-01-01
Many methods of measuring and predicting operator workload have been developed that provide useful information in the design, evaluation, and operation of complex systems and which aid in developing models of human attention and performance. However, the relationships between such measures, imposed task demands, and measures of performance remain complex and even contradictory. It appears that we have ignored an important factor: people do not passively translate task demands into performance. Rather, they actively manage their time, resources, and effort to achieve an acceptable level of performance while maintaining a comfortable level of workload. While such adaptive, creative, and strategic behaviors are the primary reason that human operators remain an essential component of all advanced man-machine systems, they also result in individual differences in the way people respond to the same task demands and inconsistent relationships among measures. Finally, we are able to measure workload and performance, but interpreting such measures remains difficult; it is still not clear how much workload is too much or too little nor the consequences of suboptimal workload on system performance and the mental, physical, and emotional well-being of the human operators. The rationale and philosophy of a program of research developed to address these issues will be reviewed and contrasted to traditional methods of defining, measuring, and predicting human operator workload. Viewgraphs are given.
Debriefing decreases mental workload in surgical crisis: A randomized controlled trial.
Boet, Sylvain; Sharma, Bharat; Pigford, Ashlee-Ann; Hladkowicz, Emily; Rittenhouse, Neil; Grantcharov, Teodor
2017-05-01
Mental workload is the amount of mental effort involved in performing a particular task. Crisis situations may increase mental workload, which can subsequently negatively impact operative performance and patient safety. This study aims to measure the impact of learning through debriefing and a systematic approach to crisis on trainees' mental workload in a simulated surgical crisis. Twenty junior surgical residents participated in a high-fidelity, simulated, postoperative crisis in a surgical ward environment (pretest). Participants were randomized to either an instructor-led debriefing, including performance feedback (intervention; n = 10) or no debriefing (control; n = 10). Subjects then immediately managed a second simulated crisis (post-test). Mental workload was assessed in real time during the scenarios using a previously validated, wireless, vibrotactile device. Mental workload was represented by subject response times to the vibrations, which were recorded and analyzed using the Mann-Whitney U test. Participants in the debriefing arm had a significantly reduced median response time in milliseconds (post-test minus pretest -695, quartile range -2,136 to -297) compared to participants in the control arm (42, -1,191 to 763), (between-arm difference P = .049). Debriefing after simulated surgical crisis situations may improve performance by decreasing trainee's mental workload during a subsequent simulated surgical crisis. Copyright © 2016 Elsevier Inc. All rights reserved.
Situation awareness measures for simulated submarine track management.
Loft, Shayne; Bowden, Vanessa; Braithwaite, Janelle; Morrell, Daniel B; Huf, Samuel; Durso, Francis T
2015-03-01
The aim of this study was to examine whether the Situation Present Assessment Method (SPAM) and the Situation Awareness Global Assessment Technique (SAGAT) predict incremental variance in performance on a simulated submarine track management task and to measure the potential disruptive effect of these situation awareness (SA) measures. Submarine track managers use various displays to localize and track contacts detected by own-ship sensors. The measurement of SA is crucial for designing effective submarine display interfaces and training programs. Participants monitored a tactical display and sonar bearing-history display to track the cumulative behaviors of contacts in relationship to own-ship position and landmarks. SPAM (or SAGAT) and the Air Traffic Workload Input Technique (ATWIT) were administered during each scenario, and the NASA Task Load Index (NASA-TLX) and Situation Awareness Rating Technique were administered postscenario. SPAM and SAGAT predicted variance in performance after controlling for subjective measures of SA and workload, and SA for past information was a stronger predictor than SA for current/future information. The NASA-TLX predicted performance on some tasks. Only SAGAT predicted variance in performance on all three tasks but marginally increased subjective workload. SPAM, SAGAT, and the NASA-TLX can predict unique variance in submarine track management performance. SAGAT marginally increased subjective workload, but this increase did not lead to any performance decrement. Defense researchers have identified SPAM as an alternative to SAGAT because it would not require field exercises involving submarines to be paused. SPAM was not disruptive, but it is potentially problematic that SPAM did not predict variance in all three performance tasks. © 2014, Human Factors and Ergonomics Society.
Predicting the Consequences of Workload Management Strategies with Human Performance Modeling
NASA Technical Reports Server (NTRS)
Mitchell, Diane Kuhl; Samma, Charneta
2011-01-01
Human performance modelers at the US Army Research Laboratory have developed an approach for establishing Soldier high workload that can be used for analyses of proposed system designs. Their technique includes three key components. To implement the approach in an experiment, the researcher would create two experimental conditions: a baseline and a design alternative. Next they would identify a scenario in which the test participants perform all their representative concurrent interactions with the system. This scenario should include any events that would trigger a different set of goals for the human operators. They would collect workload values during both the control and alternative design condition to see if the alternative increased workload and decreased performance. They have successfully implemented this approach for military vehicle. designs using the human performance modeling tool, IMPRINT. Although ARL researches use IMPRINT to implement their approach, it can be applied to any workload analysis. Researchers using other modeling and simulations tools or conducting experiments or field tests can use the same approach.
ERIC Educational Resources Information Center
Gous, Ignatius G. P.; Roberts, Jennifer J.
2015-01-01
Management of time and workload is influenced by the quality of awareness of impacting factors. Faculty has to attend to many responsibilities, with technology in teaching a recent but game-changing impacting factor. This article is a case study which explores the metacognitive awareness of the impact of technology on teaching, learning and…
Design and evaluation of an advanced air-ground data-link system for air traffic control
NASA Technical Reports Server (NTRS)
Denbraven, Wim
1992-01-01
The design and evaluation of the ground-based portion of an air-ground data-link system for air traffic control (ATC) are described. The system was developed to support the 4D Aircraft/ATC Integration Study, a joint simulation experiment conducted at NASA's Ames and Langley Research Centers. The experiment focused on airborne and ground-based procedures for handling aircraft equipped with a 4D-Flight Management System (FMS) and the system requirements needed to ensure conflict-free traffic flow. The Center/TRACON Automation System (CTAS) at Ames was used for the ATC part of the experiment, and the 4D-FMS-equipped aircraft was simulated by the Transport Systems Research Vehicle (TSRV) simulator at Langley. The data-link system supported not only conventional ATC communications, but also the communications needed to accommodate the 4D-FMS capabilities of advanced aircraft. Of great significance was the synergism gained from integrating the data link with CTAS. Information transmitted via the data link was used to improve the monitoring and analysis capability of CTAS without increasing controller input workload. Conversely, CTAS was used to anticipate and create prototype messages, thus reducing the workload associated with the manual creation of data-link messages.
Roscigno, Cecelia I; Fleig, Denise K; Knafl, Kathleen A
2015-01-01
School reintegration following children's traumatic brain injury (TBI) is still poorly understood from families' perspectives. We aimed to understand how both unique and common experiences during children's school reintegration were explained by parents to influence the family. Data came from an investigation using descriptive phenomenology (2005-2007) to understand parents' experiences in the first five years following children's moderate to severe TBI. Parents (N = 42 from 37 families in the United States) participated in two 90-min interviews (first M = 15 months; second M = 27 months). Two investigators independently coded parents' discussions of school reintegration using content analysis to understand the unique and common factors that parents perceived affected the family. Parents' school negotiation themes included the following: (1) legal versus moral basis for helping the child; (2) inappropriate state and local services that did not consider needs specific to TBI; and (3) involvement in planning, implementing and evaluating the child's education plan. Parents perceived that coordinated and collaboration leadership with school personnel lessened families' workload. Families who home-schooled had unique challenges. School reintegration can add to family workload by changing roles and relationships and by adding to parents' perceived stress in managing of the child's condition. Moderate to severe traumatic brain injury is assumed to be the primary cause of children's morbidities post-injury. Despite laws in the United States meant to facilitate children's school reintegration needs, parents often perceived that policies and practices differed from the intentions of laws and added to the family workload and stress. The school environment of the child (physical, cultural or psychological setting) plays an important long-term role in shaping family roles, relationships and management of the child's condition.
Papavasileiou, Lida P; Forleo, Giovanni B; Panattoni, Germana; Schirripa, Valentina; Minni, Valentina; Magliano, Giulia; Bellos, Kyriakos; Santini, Luca; Romeo, Francesco
2013-02-01
The efficacy and accuracy, as well as patients' satisfaction, of device remote monitoring are well demonstrated. However, the workload of remote monitoring management has not been estimated and reimbursement schemes are currently unavailable in most European countries. This study evaluates the workload associated with remote monitoring systems. A total of 154 consecutive implantable cardioverter defibrillator patients (age 66±12 years; 86.5% men) with a remote monitoring system were enrolled. Data on the clinician's workload required for the management of the patients were analyzed. A total of 1744 transmissions were received during a mean follow-up of 15.3±12.4 months. Median number of transmissions per patient was 11.3. There were 993 event-free transmissions, whereas 638 transmissions regarded one or more events (113 missed transmissions, 141 atrial events, 132 ventricular episodes, 299 heart failure-related transmissions, 14 transmissions regarding lead malfunction and 164 transmissions related to other events). In 402 cases telephonic contact was necessary, whereas in 68 cases an in-clinic visit was necessary and in 23 of them an in-clinic visit was prompted by the manufacturer due to technical issues of the transmitter. During follow-up, 316 work hours were required to manage the enrolled patients. Each month, a total of 14.9 h were spent on the remote monitoring of 154 patients (9.7 h for 100 patients monthly) with approximately 1.1±0.15 h per year for each patient. The clinician's work burden is high in patients with remote monitoring. In order to expand remote monitoring in all patients, reimbursement policies should be considered.
Heavy vehicle driver workload assessment. Task 3, task analysis data collection
DOT National Transportation Integrated Search
This technical report consists of a collection of task analytic data to support heavy vehicle driver workload assessment and protocol development. Data were collected from professional drivers to provide insights into the following issues: the meanin...
1984-12-01
operating results (income statement) and financial condition ( balance sheet) are developed. From this data, stabilized rates are developed and adjusted to...funding budgets based on projected workloads developed at workload conferences. The workload subsystem distributes and balances projected manhours at...is the validation criteria. However, any account with a credit balance is deleted from the UCA data which causes a minor but identifiable
Hotel housekeeping work influences on hypertension management.
Sanon, Marie-Anne
2013-12-01
Characteristics of hotel housekeeping work increase the risk for hypertension development. Little is known about the influences of such work on hypertension management. For this qualitative study, 27 Haitian immigrant hotel housekeepers from Miami-Dade County, FL were interviewed. Interview transcripts were analyzed with the assistance of the Atlas.ti software for code and theme identification. Influences of hotel housekeeping work on hypertension management arose both at the individual and system levels. Factors at the individual level included co-worker dynamics and maintenance of transmigrant life. Factors at the system level included supervisory support, workload, work pace, and work hiring practices. No positive influences were reported for workload and hiring practices. Workplace interventions may be beneficial for effective hypertension management among hotel housekeepers. These work influences must be considered when determining effective methods for hypertension management among hotel housekeepers. © 2013 Wiley Periodicals, Inc.
Multi-core processing and scheduling performance in CMS
DOE Office of Scientific and Technical Information (OSTI.GOV)
Hernandez, J. M.; Evans, D.; Foulkes, S.
2012-01-01
Commodity hardware is going many-core. We might soon not be able to satisfy the job memory needs per core in the current single-core processing model in High Energy Physics. In addition, an ever increasing number of independent and incoherent jobs running on the same physical hardware not sharing resources might significantly affect processing performance. It will be essential to effectively utilize the multi-core architecture. CMS has incorporated support for multi-core processing in the event processing framework and the workload management system. Multi-core processing jobs share common data in memory, such us the code libraries, detector geometry and conditions data, resultingmore » in a much lower memory usage than standard single-core independent jobs. Exploiting this new processing model requires a new model in computing resource allocation, departing from the standard single-core allocation for a job. The experiment job management system needs to have control over a larger quantum of resource since multi-core aware jobs require the scheduling of multiples cores simultaneously. CMS is exploring the approach of using whole nodes as unit in the workload management system where all cores of a node are allocated to a multi-core job. Whole-node scheduling allows for optimization of the data/workflow management (e.g. I/O caching, local merging) but efficient utilization of all scheduled cores is challenging. Dedicated whole-node queues have been setup at all Tier-1 centers for exploring multi-core processing workflows in CMS. We present the evaluation of the performance scheduling and executing multi-core workflows in whole-node queues compared to the standard single-core processing workflows.« less
Chiorri, Carlo; Garbarino, Sergio; Bracco, Fabrizio; Magnavita, Nicola
2015-01-01
Previous research has suggested that personality traits of the Five Factor Model play a role in worker's response to workload. The aim of this study was to investigate the association of personality traits of first responders with their perceived workload in real-life tasks. A flying column of 269 police officers completed a measure of subjective workload (NASA-Task Load Index) after intervention tasks in a major public event. Officers' scores on a measure of Five Factor Model personality traits were obtained from archival data. Linear Mixed Modeling was used to test the direct and interaction effects of personality traits on workload scores once controlling for background variables, task type and workload source (mental, temporal and physical demand of the task, perceived effort, dissatisfaction for the performance and frustration due to the task). All personality traits except extraversion significantly interacted at least with one workload source. Perceived workload in flying column police officers appears to be the result of their personality characteristics interacting with the workload source. The implications of these results for the development of support measures aimed at reducing the impact of workload in this category of workers are discussed. PMID:26640456
Implementing EVM Data Analysis Adding Value from a NASA Project Manager's Perspective
NASA Technical Reports Server (NTRS)
Counts, Stacy; Kerby, Jerald
2006-01-01
Data Analysis is one of the keys to an effective Earned Value Management (EVM) Process. Project Managers (PM) must continually evaluate data in assessing the health of their projects. Good analysis of data can assist PMs in making better decisions in managing projects. To better support our P Ms, National Aeronautics and Space Administration (NASA) - Marshall Space Flight Center (MSFC) recently renewed its emphasis on sound EVM data analysis practices and processes, During this presentation we will discuss the approach that MSFC followed in implementing better data analysis across its Center. We will address our approach to effectively equip and support our projects in applying a sound data analysis process. In addition, the PM for the Space Station Biological Research Project will share her experiences of how effective data analysis can benefit a PM in the decision making process. The PM will discuss how the emphasis on data analysis has helped create a solid method for assessing the project s performance. Using data analysis successfully can be an effective and efficient tool in today s environment with increasing workloads and downsizing workforces
Evaluating non-relational storage technology for HEP metadata and meta-data catalog
NASA Astrophysics Data System (ADS)
Grigorieva, M. A.; Golosova, M. V.; Gubin, M. Y.; Klimentov, A. A.; Osipova, V. V.; Ryabinkin, E. A.
2016-10-01
Large-scale scientific experiments produce vast volumes of data. These data are stored, processed and analyzed in a distributed computing environment. The life cycle of experiment is managed by specialized software like Distributed Data Management and Workload Management Systems. In order to be interpreted and mined, experimental data must be accompanied by auxiliary metadata, which are recorded at each data processing step. Metadata describes scientific data and represent scientific objects or results of scientific experiments, allowing them to be shared by various applications, to be recorded in databases or published via Web. Processing and analysis of constantly growing volume of auxiliary metadata is a challenging task, not simpler than the management and processing of experimental data itself. Furthermore, metadata sources are often loosely coupled and potentially may lead to an end-user inconsistency in combined information queries. To aggregate and synthesize a range of primary metadata sources, and enhance them with flexible schema-less addition of aggregated data, we are developing the Data Knowledge Base architecture serving as the intelligence behind GUIs and APIs.
Heavy vehicle driver workload assessment. Task 1, task analysis data and protocols review
DOT National Transportation Integrated Search
This report contains a review of available task analytic data and protocols pertinent to heavy vehicle operation and determination of the availability and relevance of such data to heavy vehicle driver workload assessment. Additionally, a preliminary...
Evaluation of a Tool for Airborne-Managed In-Trail Approach Spacing
NASA Technical Reports Server (NTRS)
Oseguera-Lohr, Rosa M.; Lohr, Gary W.; Abbott, Terence S.; Nadler, Eric D.; Eischeid, Todd
2005-01-01
The Advanced Terminal Area Approach Spacing (ATAAS) tool uses Automatic Dependent Surveillance-Broadcast aircraft state data to compute a speed command for an ATAAS-equipped aircraft to follow and obtain a required time interval behind another aircraft. The ATAAS tool and candidate operational procedures were tested in a high-fidelity, full mission simulator with active airline subject pilots flying an arrival scenario to obtain pilot perceptions of acceptability and workload for the concept. The aircraft consistently achieved the target spacing interval within 1 s when the ATAAS speed guidance was autothrottle-coupled and a slightly greater (4 - 5 s) but consistent interval with pilot-controlled speed changes. The subject pilots rated the ATAAS workload as similar to one with standard procedures for a nominal Instrument Landing System (ILS) approach. They also rated highly various procedural aspects (including amount of head-down time required). Eyetracker data showed only slight changes in instrument scan patterns for ATAAS versus standard ILS procedures.
Analysis and design of hospital management information system based on UML
NASA Astrophysics Data System (ADS)
Ma, Lin; Zhao, Huifang; You, Shi Jun; Ge, Wenyong
2018-05-01
With the rapid development of computer technology, computer information management system has been utilized in many industries. Hospital Information System (HIS) is in favor of providing data for directors, lightening the workload for the medical workers, and improving the workers efficiency. According to the HIS demand analysis and system design, this paper focus on utilizing unified modeling language (UML) models to establish the use case diagram, class diagram, sequence chart and collaboration diagram, and satisfying the demands of the daily patient visit, inpatient, drug management and other relevant operations. At last, the paper summarizes the problems of the system and puts forward an outlook of the HIS system.
Fallahi, Majid; Motamedzade, Majid; Heidarimoghadam, Rashid; Soltanian, Ali Reza; Miyake, Shinji
2016-01-01
Background: The present study aimed to evaluate the operators’ mental workload (MW) of cement, city traffic control and power plant control centers using subjective and objective measures during system vital parameters monitoring. Methods: This cross-sectional study was conducted from June 2014 to February 2015 at the cement, city traffic control and power plant control centers. Electrocardiography and electroencephalography data were recorded from forty males during performing their daily working in resting, low mental workload (LMW), high mental workload (HMW) and recovery conditions (each block 5 minutes). The NASA-Task Load Index (TLX) was used to evaluate the subjective workload of the operators. Results: The results showed that increasing MW had a significant effect on the operators subjective responses in two conditions ([1,53] = 216.303, P < 0.001, η2 = 0.803). Also,the Task-MW interaction effect on operators subjective responses was significant (F [3, 53] = 12.628,P < 0.001, η2 = 0.417). Analysis of repeated measures analysis of variance (ANOVA) indicated that increasing mental demands had a significant effect on heart rate, low frequency/high frequency ratio, theta and alpha band activity. Conclusion: The results suggested that when operators’ mental demands especially in traffic control and power plant tasks increased, their mental fatigue and stress level increased and their mental health deteriorated. Therefore, it may be necessary to implement an ergonomic program or administrative control to manage mental probably health in these control centers. Furthermore, by evaluating MW, the control center director can organize the human resources for each MW condition to sustain the appropriate performance as well as improve system functions. PMID:27386425
Fallahi, Majid; Motamedzade, Majid; Heidarimoghadam, Rashid; Soltanian, Ali Reza; Miyake, Shinji
2016-01-01
The present study aimed to evaluate the operators' mental workload (MW) of cement, city traffic control and power plant control centers using subjective and objective measures during system vital parameters monitoring. This cross-sectional study was conducted from June 2014 to February 2015 at the cement, city traffic control and power plant control centers. Electrocardiography and electroencephalography data were recorded from forty males during performing their daily working in resting, low mental workload (LMW), high mental workload (HMW) and recovery conditions (each block 5 minutes). The NASA-Task Load Index (TLX) was used to evaluate the subjective workload of the operators. The results showed that increasing MW had a significant effect on the operators subjective responses in two conditions ([1,53] = 216.303, P < 0.001, η2 = 0.803). Also,the Task-MW interaction effect on operators subjective responses was significant (F [3, 53] = 12.628,P < 0.001, η2 = 0.417). Analysis of repeated measures analysis of variance (ANOVA) indicated that increasing mental demands had a significant effect on heart rate, low frequency/high frequency ratio, theta and alpha band activity. The results suggested that when operators' mental demands especially in traffic control and power plant tasks increased, their mental fatigue and stress level increased and their mental health deteriorated. Therefore, it may be necessary to implement an ergonomic program or administrative control to manage mental probably health in these control centers. Furthermore, by evaluating MW, the control center director can organize the human resources for each MW condition to sustain the appropriate performance as well as improve system functions.
NASA Astrophysics Data System (ADS)
McNab, A.
2017-10-01
This paper describes GridPP’s Vacuum Platform for managing virtual machines (VMs), which has been used to run production workloads for WLCG and other HEP experiments. The platform provides a uniform interface between VMs and the sites they run at, whether the site is organised as an Infrastructure-as-a-Service cloud system such as OpenStack, or an Infrastructure-as-a-Client system such as Vac. The paper describes our experience in using this platform, in developing and operating VM lifecycle managers Vac and Vcycle, and in interacting with VMs provided by LHCb, ATLAS, ALICE, CMS, and the GridPP DIRAC service to run production workloads.
Flight performance measurement utilizing a figure of merit (FOM)
NASA Technical Reports Server (NTRS)
Mosier, Kathleen L.; Zacharias, Greg L.
1993-01-01
One of the goals of the NASA Strategic Behavior/Workload Management Program is to develop standardized procedures for constructing figures of merit (FOMs) that describe minimal criteria for flight task performance, as well as summarize overall performance quality. Such a measure could be utilized for evaluating flight crew performance, for assessing the effectiveness of new equipment or technological innovations, or for measuring performance at a particular airport. In this report, we describe the initial phases in the creation of a FOM to be employed in examining crew performance in NASA-Ames Air Ground Compatibility and Strategic Behavior/Workload Management programs.
Evaluation of Future Internet Technologies for Processing and Distribution of Satellite Imagery
NASA Astrophysics Data System (ADS)
Becedas, J.; Perez, R.; Gonzalez, G.; Alvarez, J.; Garcia, F.; Maldonado, F.; Sucari, A.; Garcia, J.
2015-04-01
Satellite imagery data centres are designed to operate a defined number of satellites. For instance, difficulties when new satellites have to be incorporated in the system appear. This occurs because traditional infrastructures are neither flexible nor scalable. With the appearance of Future Internet technologies new solutions can be provided to manage large and variable amounts of data on demand. These technologies optimize resources and facilitate the appearance of new applications and services in the traditional Earth Observation (EO) market. The use of Future Internet technologies for the EO sector were validated with the GEO-Cloud experiment, part of the Fed4FIRE FP7 European project. This work presents the final results of the project, in which a constellation of satellites records the whole Earth surface on a daily basis. The satellite imagery is downloaded into a distributed network of ground stations and ingested in a cloud infrastructure, where the data is processed, stored, archived and distributed to the end users. The processing and transfer times inside the cloud, workload of the processors, automatic cataloguing and accessibility through the Internet are evaluated to validate if Future Internet technologies present advantages over traditional methods. Applicability of these technologies is evaluated to provide high added value services. Finally, the advantages of using federated testbeds to carry out large scale, industry driven experiments are analysed evaluating the feasibility of an experiment developed in the European infrastructure Fed4FIRE and its migration to a commercial cloud: SoftLayer, an IBM Company.
Code of Federal Regulations, 2014 CFR
2014-04-01
... Territories in Area Office 1. While taking into account the mix and priority of workload, and available... then occur at the next level of management between Territory Managers and their Group Managers, and between Group Managers and their employees. These communications will emphasize the overall goals of the...
Code of Federal Regulations, 2013 CFR
2013-04-01
... Territories in Area Office 1. While taking into account the mix and priority of workload, and available... then occur at the next level of management between Territory Managers and their Group Managers, and between Group Managers and their employees. These communications will emphasize the overall goals of the...
Code of Federal Regulations, 2012 CFR
2012-04-01
... Territories in Area Office 1. While taking into account the mix and priority of workload, and available... then occur at the next level of management between Territory Managers and their Group Managers, and between Group Managers and their employees. These communications will emphasize the overall goals of the...
Code of Federal Regulations, 2011 CFR
2011-04-01
... Territories in Area Office 1. While taking into account the mix and priority of workload, and available... then occur at the next level of management between Territory Managers and their Group Managers, and between Group Managers and their employees. These communications will emphasize the overall goals of the...
Hossain, M P; Palmer, D; Goyder, E; El Nahas, A M
2012-02-01
The 'inverse care law' suggests that populations with the poorest health outcomes also tend to have poorer access to high-quality care. The new general practitioner (GP) contract in the UK aimed to reduce variations in care between areas by collecting information on processes and outcomes of chronic disease management. This study investigated whether, despite reductions in inequalities, primary care in deprived areas is still at a disadvantage due to the higher prevalence of chronic diseases, using chronic kidney disease (CKD) as an example. Initially, data from a hospital-based cohort of CKD patients were analysed to investigate the clustering of CKD patients across area-level deprivation using a geographical information system that employed kernel density estimation. Data from the Quality and Outcomes Framework were then analysed to explore the burden of CKD and associated non-communicable chronic diseases (NCD) and assess the potential impact on GPs' workload by area-level deprivation. There was a significant clustering of CKD patients referred to the hospital in the most deprived areas. Both the prevalence of CKD and associated conditions and caseload per GP were significantly higher in deprived areas. In the most deprived areas, there is an increased burden of major chronic disease and a higher caseload for clinicians. These reflect significant differences in workload for practices in deprived areas, which needs to be addressed.
Ackermann, O; Heigel, U; Lazic, D; Vogel, T; Schofer, M D; Rülander, C
2012-04-01
For the clinical planning of mass events the emergency departments are of critical importance, but there are still no data available for the workload in these cases. As this is essential for an effective medical preparation, we calculated the workload based on the ICD codes of the vicitims at the Loveparade 2010 in Duisburg. Based on the patient data of the Loveparade 2010 we used a filter diagnosis to estimate the number of shock room patients, regular admittances, surgical wound treatments, applications of casts or splints, and diagnosis of drug abuse. In addition every patient was classified to a Manchester Triage System category. This resulted in a chronological and quantitative work-load profile of the emergency department, which was evaluated by the clinical experiences of the departmental medical staff. The workload profile as a whole displayed a realistic image of the real true situation on July 24, 2010. While only the number, diagnosis and chronology of medical surgical patients was realistic, the MTS classification was not. The emergency department had a maximum of 6 emergency room admittances, 6 regular admittances, 4-5 surgical wound treatments, 3 casts and 2 drug abuse patients per hour. The calculation of workload from the ICD data is a reasonable tool for retrospective estimation of the workload of an emergency department, the data can be used for future planning. The retrospective MTS grouping is at present not suitable for a realistic calculation. Retrospective measures in the MTS groups are at present not sufficiently suitable for valid data publication. © Georg Thieme Verlag KG Stuttgart · New York.
ERIC Educational Resources Information Center
Goodwin, M. M.; Califf, M. E.
2007-01-01
Workload has been found to be a major course-related factor that affects student dropout rates. A heavy workload combined with a lack of time can create problems for students with courses that, by their very nature, require extensive work outside of class time. One such course is the second-semester programming course at Illinois State University…
ERIC Educational Resources Information Center
Moeglin, Pierre; Vidal, Martine
2015-01-01
The purpose of this review, spanning over 12 years of publication of "Distances et Médiations des Savoirs" ("DMS"), formerly "Distance et Savoirs" ("DMS") (2003-2014), is guided by the question why and how French-speaking researchers addressed the issues of time, workload and costs in distance learning, and…
A Manpower Model for U.S. Navy Operational Contracting
2012-06-01
Accomplishment Time RFP Request For Proposal SAF/FM Air Force Financial Management SAP Simplified Acquisition Procedures SAT Simplified...conformance and seller’s release of claim (Garrett, 2007). 2. Contract Size and its Effect on Workload Simplified acquisition procedures ( SAP ) were...the SAP dollar threshold. 14 The drastic reduction in KO workload through the use of SAP is unmatched by any federal authorization that came
NASA Technical Reports Server (NTRS)
Scerbo, Mark; Coyne, Joseph; Burt, Jennifer L. (Technical Monitor)
2002-01-01
My work at NASA Langley has focused around Aviation Weather Information CAWING displays. The majority of my time at LYRIC has been spent on the Workload and Relative Position (WaRP) Study. The goal of this project is to determine how an AWIN display at various positions within the cockpit affects pilot performance and workload. The project is being conducted in Languages Cessna 206H research aircraft. During the past year the design of the experiment was finalized and approved. Despite facing several delays the data collection was completed in early February. Alter the completion of the data collection an extensive data entry task began. This required recording air speed, altitude, course heading, bank angle, and vertical speed information from videos of the primary flight displays. This data was then used to determine root mean square error (RMSE) for each experimental condition. In addition to the performance data (RMSE) taken from flight path deviation, the study also collected data on pilot;s accuracy in reporting weather information, and a subjective rating of workload from the pilot. The data for this experiment is currently being analyzed. Overall the current experiment should help to determine potential costs and benefits associated with AWIN displays. The data will be used to determine if a private pilot can safely fly a general aviation aircraft while operating a weather display. Clearly a display that adds to the pilot#s already heavy workload represents a potential problem. The study will compare the use of an AWIN display to conventional means of acquiring weather data. The placement of the display within the cockpit (i.e., either on the yoke, kneeboard, or panel) will be also compared in terms of workload, performance, and pilot preference.
Development of a Methodology for Assessing Aircrew Workloads.
1981-11-01
Workload Feasibility Study. .. ...... 52 Subjects. .. .............. ........ 53 Equipment .. ............... ....... 53 Date Analysis ... analysis ; simulation; standard time systems; switching synthetic time systems; task activities; task interference; time study; tracking; workload; work sampl...standard data systems, information content analysis , work sampling and job evaluation. Con- ventional methods were found to be deficient in accounting
Wadhera, Rishi K; Parker, Sarah Henrickson; Burkhart, Harold M; Greason, Kevin L; Neal, James R; Levenick, Katherine M; Wiegmann, Douglas A; Sundt, Thoralf M
2010-02-01
There is general enthusiasm for applying strategies from aviation directly to medical care; the application of the "sterile cockpit" rule to surgery has accordingly been suggested. An implicit prerequisite to the evidence-based transfer of such a concept to the clinical domain, however, is definition of periods of high mental workload analogous to takeoff and landing. We measured cognitive demands among operating room staff, mapped critical events, and evaluated protocol-driven communication. With the National Aeronautics and Space Administration Task Load Index and semistructured focus groups, we identified common critical stages of cardiac surgical cases. Intraoperative communication was assessed before (n = 18) and after (n = 16) introduction of a structured communication protocol. Cognitive workload measures demonstrated high temporal diversity among caregivers in various roles. Eight critical events during cardiopulmonary bypass were then defined. A structured, unambiguous verbal communication protocol for these events was then implemented. Observations of 18 cases before implementation including 29.6 hours of cardiopulmonary bypass with 632 total communication exchanges (average 35.1 exchanges/case) were compared with observations of 16 cases after implementation including 23.9 hours of cardiopulmonary bypass with 748 exchanges (average 46.8 exchanges/case, P = .06). Frequency of communication breakdowns per case decreased significantly after implementation (11.5 vs 7.3 breakdowns/case, P = .008). Because of wide variations is cognitive workload among caregivers, effective communication can be structured around critical events rather than defined intervals analogous to the sterile cockpit, with reduction in communication breakdowns. 2010 The American Association for Thoracic Surgery. Published by Mosby, Inc. All rights reserved.
Hu, Jiangbi; Wang, Ronghua
2018-02-17
Guaranteeing a safe and comfortable driving workload can contribute to reducing traffic injuries. In order to provide safe and comfortable threshold values, this study attempted to classify driving workload from the aspects of human factors mainly affected by highway geometric conditions and to determine the thresholds of different workload classifications. This article stated a hypothesis that the values of driver workload change within a certain range. Driving workload scales were stated based on a comprehensive literature review. Through comparative analysis of different psychophysiological measures, heart rate variability (HRV) was chosen as the representative measure for quantifying driving workload by field experiments. Seventy-two participants (36 car drivers and 36 large truck drivers) and 6 highways with different geometric designs were selected to conduct field experiments. A wearable wireless dynamic multiparameter physiological detector (KF-2) was employed to detect physiological data that were simultaneously correlated to the speed changes recorded by a Global Positioning System (GPS) (testing time, driving speeds, running track, and distance). Through performing statistical analyses, including the distribution of HRV during the flat, straight segments and P-P plots of modified HRV, a driving workload calculation model was proposed. Integrating driving workload scales with values, the threshold of each scale of driving workload was determined by classification and regression tree (CART) algorithms. The driving workload calculation model was suitable for driving speeds in the range of 40 to 120 km/h. The experimental data of 72 participants revealed that driving workload had a significant effect on modified HRV, revealing a change in driving speed. When the driving speed was between 100 and 120 km/h, drivers showed an apparent increase in the corresponding modified HRV. The threshold value of the normal driving workload K was between -0.0011 and 0.056 for a car driver and between -0.00086 and 0.067 for a truck driver. Heart rate variability was a direct and effective index for measuring driving workload despite being affected by multiple highway alignment elements. The driving workload model and the thresholds of driving workload classifications can be used to evaluate the quality of highway geometric design. A higher quality of highway geometric design could keep driving workload within a safer and more comfortable range. This study provided insight into reducing traffic injuries from the perspective of disciplinary integration of highway engineering and human factor engineering.
78 FR 74118 - Proposed Collection; Comment Request
Federal Register 2010, 2011, 2012, 2013, 2014
2013-12-10
... operational management of DoD personnel security investigation (PSI) workload projections, and for monitoring... the instructions for submitting comments. Mail: Federal Docket Management System Office, 4800 Mark... submissions. The Office of Personnel Management (OPM) has responsibility for conducting PSIs and the...
Hotel Housekeeping Work Influences on Hypertension Management
Sanon, Marie-Anne
2013-01-01
Background Characteristics of hotel housekeeping work increase the risk for hypertension development. Little is known about the influences of such work on hypertension management. Methods For this qualitative study, 27 Haitian immigrant hotel housekeepers from Miami-Dade County, FL were interviewed. Interview transcripts were analyzed with the assistance of the Atlas. ti software for code and theme identification. Results Influences of hotel housekeeping work on hypertension management arose both at the individual and system levels. Factors at the individual level included co-worker dynamics and maintenance of transmigrant life. Factors at the system level included supervisory support, workload, work pace, and work hiring practices. No positive influences were reported for workload and hiring practices. Conclusions Workplace interventions may be beneficial for effective hypertension management among hotel housekeepers. These work influences must be considered when determining effective methods for hypertension management among hotel housekeepers. PMID:23775918
Adaptation of time line analysis program to single pilot instrument flight research
NASA Technical Reports Server (NTRS)
Hinton, D. A.; Shaughnessy, J. D.
1978-01-01
A data base was developed for SPIFR operation and the program was run. The outputs indicated that further work was necessary on the workload models. In particular, the workload model for the cognitive channel should be modified as the output workload appears to be too small. Included in the needed refinements are models to show the workload when in turbulence, when overshooting a radial or glideslope, and when copying air traffic control clearances.
Practice nurse and health visitor management of acute minor illness in a general practice.
Pritchard, A; Kendrick, D
2001-11-01
To evaluate practice nurse (PN) and health visitor (HV) management of patients with acute minor illnesses, monitor the effect on general practitioner (GP) workload, and describe the range of conditions seen by nurses. Patients requesting 'urgent' appointments (within 24 hours) were offered consultations with a PN or HV trained in the management of acute minor illness. Comparative data were collected before and after the establishment of the acute minor illness service. A general practice in Nottingham, England. Patient satisfaction, consultation rate, prescriptions, investigations, referrals and urgent re-consultations for the same condition within 2 weeks. About 2056 urgent consultations were recorded in the study period, of which 332 (16.1%) were seen by PNs and 46 (2.2%) by a HV. High levels of patient satisfaction were reported for all health professionals. Patients seeing the HV reported higher levels of satisfaction than those consulting GPs (P=0.033) and PNs (P=0.010). There was no difference by health professional for prescription rates (P=0.76), re-consultations (P=0.14), or referrals to secondary care (P=0.07). General practitioners were more likely to initiate further investigations than the PNs or HV (P < 0.001). With suitable training, PNs and HVs can successfully manage patients with a range of conditions. General practitioner workload can be reduced while maintaining high patient satisfaction levels.
Distributed control system for demand response by servers
NASA Astrophysics Data System (ADS)
Hall, Joseph Edward
Within the broad topical designation of smart grid, research in demand response, or demand-side management, focuses on investigating possibilities for electrically powered devices to adapt their power consumption patterns to better match generation and more efficiently integrate intermittent renewable energy sources, especially wind. Devices such as battery chargers, heating and cooling systems, and computers can be controlled to change the time, duration, and magnitude of their power consumption while still meeting workload constraints such as deadlines and rate of throughput. This thesis presents a system by which a computer server, or multiple servers in a data center, can estimate the power imbalance on the electrical grid and use that information to dynamically change the power consumption as a service to the grid. Implementation on a testbed demonstrates the system with a hypothetical but realistic usage case scenario of an online video streaming service in which there are workloads with deadlines (high-priority) and workloads without deadlines (low-priority). The testbed is implemented with real servers, estimates the power imbalance from the grid frequency with real-time measurements of the live outlet, and uses a distributed, real-time algorithm to dynamically adjust the power consumption of the servers based on the frequency estimate and the throughput of video transcoder workloads. Analysis of the system explains and justifies multiple design choices, compares the significance of the system in relation to similar publications in the literature, and explores the potential impact of the system.
ERIC Educational Resources Information Center
Varnavas, Andreas P.; Soteriou, Andreas C.
2002-01-01
Presents and discusses the approach used by the Higher Hotel Institute in Cyprus to incorporate total quality management through establishment of a customer-driven management culture in its hospitality education program. Discusses how it collects and uses service-quality related data from future employers, staff, and students in pursuing this…
Yurko, Yuliya Y; Scerbo, Mark W; Prabhu, Ajita S; Acker, Christina E; Stefanidis, Dimitrios
2010-10-01
Increased workload during task performance may increase fatigue and facilitate errors. The National Aeronautics and Space Administration-Task Load Index (NASA-TLX) is a previously validated tool for workload self-assessment. We assessed the relationship of workload and performance during simulator training on a complex laparoscopic task. NASA-TLX workload data from three separate trials were analyzed. All participants were novices (n = 28), followed the same curriculum on the fundamentals of laparoscopic surgery suturing model, and were tested in the animal operating room (OR) on a Nissen fundoplication model after training. Performance and workload scores were recorded at baseline, after proficiency achievement, and during the test. Performance, NASA-TLX scores, and inadvertent injuries during the test were analyzed and compared. Workload scores declined during training and mirrored performance changes. NASA-TLX scores correlated significantly with performance scores (r = -0.5, P < 0.001). Participants with higher workload scores caused more inadvertent injuries to adjacent structures in the OR (r = 0.38, P < 0.05). Increased mental and physical workload scores at baseline correlated with higher workload scores in the OR (r = 0.52-0.82; P < 0.05) and more inadvertent injuries (r = 0.52, P < 0.01). Increased workload is associated with inferior task performance and higher likelihood of errors. The NASA-TLX questionnaire accurately reflects workload changes during simulator training and may identify individuals more likely to experience high workload and more prone to errors during skill transfer to the clinical environment.
Mobile real-time data acquisition system for application in preventive medicine.
Neubert, Sebastian; Arndt, Dagmar; Thurow, Kerstin; Stoll, Regina
2010-05-01
In this article, the development of a system for online monitoring of a subject's physiological parameters and subjective workload regardless of location has been presented, which allows for studies on occupational health. In the sector of occupational health, modern acquisition systems are needed. Such systems can be used by the subject during usual daily routines without being influenced by the presence of an examiner. Moreover, the system's influence on the subject should be reduced to a minimum to receive reliable data from the examination. The acquisition system is based on a mobile handheld (or smart phone), which allows both management of the communication process and input of several dialog data (e.g., questionnaires). A sensor electronics module permits the acquisition of different physiological parameters and their online transmission to the handheld via Bluetooth. The mobile handheld and the sensor electronics module constitute a wireless personal area network. The handheld allows the first analysis, the synchronization of the data, and the continuous data transfer to a communication server by the integrated mobile radio standards of the handheld. The communication server stores the incoming data of several subjects in an application-dependent database and allows access from all over the world via a Web-based management system. The developed system permits one examiner to monitor the physiological parameters and the subjective workload of several subjects in different locations at the same time. Thereby the subjects can move almost freely in any area covered by the mobile network. The mobile handheld allows the popping-up of the questionnaires at flexible time intervals. This electronic input of the dialog data, in comparison to the manual documentation on papers, is more comfortable to the subject as well as to the examiner for an analysis. A Web-based management application facilitates a continuous remote monitoring of the physiological and the subjective data of the subject.
Lindenbraten, A L; Dubinin, N D; Ludupova, E Yu; Kriutchkov, D V; Nikolaev, N S; Dubograii, E V
2016-01-01
The sociological study was carried out concerning effectiveness of systems of quality management. The technique of questionnaire survey was implemented in medical organizations with functioning systems of quality management and internationally certified systems. The evaluation by medical personnel impact of system of quality management on their activities based on results of using the given management sub-system was selected as a study object. At that, opinion ofpersonnel concerning time dynamics of indices of activity was served as a study subject. The involvement of personnel, alterations in activities of organization, remuneration of labor, effectiveness of treatment from point of view of organizations' staff members were considered. The conclusion was made that personnel of considered organizations has favorable opinion concerning effectiveness of the given systems. Among particular characteristics ofmedical care, 67% of respondents marked improvement of organization of functioning and 36% out of them marked significant improvement. The most of respondents (69%) felt positive dynamics of activities. At that, personnel of organizations mark no increasing of income in 68% of all cases and only 24% of respondents indicated salary increasing. Among negative outcomes of implementation of system of quality management, the respondents focused on increasing of workload. This trend was marked by 53% of personnel and 30% out of them indicated significant increasing of workload. The absence of alterations was marked by 38% of respondents and decreasing of workload was confirmed only by 9% of respondents.
Helsens, Kenny; Colaert, Niklaas; Barsnes, Harald; Muth, Thilo; Flikka, Kristian; Staes, An; Timmerman, Evy; Wortelkamp, Steffi; Sickmann, Albert; Vandekerckhove, Joël; Gevaert, Kris; Martens, Lennart
2010-03-01
MS-based proteomics produces large amounts of mass spectra that require processing, identification and possibly quantification before interpretation can be undertaken. High-throughput studies require automation of these various steps, and management of the data in association with the results obtained. We here present ms_lims (http://genesis.UGent.be/ms_lims), a freely available, open-source system based on a central database to automate data management and processing in MS-driven proteomics analyses.
Scaling Deep Learning Workloads: NVIDIA DGX-1/Pascal and Intel Knights Landing
DOE Office of Scientific and Technical Information (OSTI.GOV)
Gawande, Nitin A.; Landwehr, Joshua B.; Daily, Jeffrey A.
Deep Learning (DL) algorithms have become ubiquitous in data analytics. As a result, major computing vendors --- including NVIDIA, Intel, AMD and IBM --- have architectural road-maps influenced by DL workloads. Furthermore, several vendors have recently advertised new computing products as accelerating DL workloads. Unfortunately, it is difficult for data scientists to quantify the potential of these different products. This paper provides a performance and power analysis of important DL workloads on two major parallel architectures: NVIDIA DGX-1 (eight Pascal P100 GPUs interconnected with NVLink) and Intel Knights Landing (KNL) CPUs interconnected with Intel Omni-Path. Our evaluation consists of amore » cross section of convolutional neural net workloads: CifarNet, CaffeNet, AlexNet and GoogleNet topologies using the Cifar10 and ImageNet datasets. The workloads are vendor optimized for each architecture. GPUs provide the highest overall raw performance. Our analysis indicates that although GPUs provide the highest overall performance, the gap can close for some convolutional networks; and KNL can be competitive when considering performance/watt. Furthermore, NVLink is critical to GPU scaling.« less
NASA Technical Reports Server (NTRS)
Battiste, Vernol; Lawton, George; Lachter, Joel; Brandt, Summer; Koteskey, Robert; Dao, Arik-Quang; Kraut, Josh; Ligda, Sarah; Johnson, Walter W.
2012-01-01
Managing the interval between arrival aircraft is a major part of the en route and TRACON controller s job. In an effort to reduce controller workload and low altitude vectoring, algorithms have been developed to allow pilots to take responsibility for, achieve and maintain proper spacing. Additionally, algorithms have been developed to create dynamic weather-free arrival routes in the presence of convective weather. In a recent study we examined an algorithm to handle dynamic re-routing in the presence of convective weather and two distinct spacing algorithms. The spacing algorithms originated from different core algorithms; both were enhanced with trajectory intent data for the study. These two algorithms were used simultaneously in a human-in-the-loop (HITL) simulation where pilots performed weather-impacted arrival operations into Louisville International Airport while also performing interval management (IM) on some trials. The controllers retained responsibility for separation and for managing the en route airspace and some trials managing IM. The goal was a stress test of dynamic arrival algorithms with ground and airborne spacing concepts. The flight deck spacing algorithms or controller managed spacing not only had to be robust to the dynamic nature of aircraft re-routing around weather but also had to be compatible with two alternative algorithms for achieving the spacing goal. Flight deck interval management spacing in this simulation provided a clear reduction in controller workload relative to when controllers were responsible for spacing the aircraft. At the same time, spacing was much less variable with the flight deck automated spacing. Even though the approaches taken by the two spacing algorithms to achieve the interval management goals were slightly different they seem to be simpatico in achieving the interval management goal of 130 sec by the TRACON boundary.
Counting the cost of social disadvantage in primary care: retrospective analysis of patient data.
Worrall, A; Rea, J N; Ben-Shlomo, Y
1997-01-04
To cost the relation between socioeconomic status and various measures of primary care workload and assess the adequacy of current "deprivation" payments in relation to actual costings for patients living in qualifying areas. Retrospective data on primary care were collected over a 4.5 year period from both computerised and manually filed records. Standardised data on socioeconomic status were obtained by postal questionnaire. Inner city group practice with a socioeconomically diverse population. 382 male and female subjects of all ages, with a total of 1296 person years of observation. Primary care costs resulting from consultations with a general practitioner or a practice nurse and both new and repeat prescriptions. Morbidity, workload, and costs of drug treatment increased with decreasing socioeconomic status. The difference in cost for patients in social classes IV and V combined compared with those in I and II combined was about 150 Pounds per person year at risk (47 Pounds for workload and 103 Pounds for drugs). Deprivation payments met only half the extra workload cost for patients from qualifying wards. The greater workload caused by social disadvantage has been previously underestimated by simple consultation rates. The absolute difference in costs for socially disadvantaged patients increase as more detailed measures of workload and drug treatment are included. Current deprivation payments only partially offset the increased expenditure on workload. This shortfall will have to be addressed to attract general practitioners to, or retain them in, deprived areas.
Managing Workload in Human-Robot Interaction: A Review of Empirical Studies
2010-01-01
central concern in determining successful teleoperation. Regardless of the sophistication of the technology, a robot is oper- ated – with different levels...by many characteristics, including the type of workload manipulation, the apparatus used, task char- acteristics, and/or type of outcome measures . Due...linguistic patterns. Further- more, this interference may not even be detected if operators do not explicitly measure team communication performance, or re
ERIC Educational Resources Information Center
Inegbedion, Juliet Obhajajie
2017-01-01
The quality of the programmes and courses in ODL depends on the academics that plan the programmes, develop the curriculum, manage courses and programmes and carry out administrative duties. It is observed that the academics often complain of work overload. It also appears there is a mix-up in integrating the mode of planning workload in the…
An Energy-Aware Runtime Management of Multi-Core Sensory Swarms.
Kim, Sungchan; Yang, Hoeseok
2017-08-24
In sensory swarms, minimizing energy consumption under performance constraint is one of the key objectives. One possible approach to this problem is to monitor application workload that is subject to change at runtime, and to adjust system configuration adaptively to satisfy the performance goal. As today's sensory swarms are usually implemented using multi-core processors with adjustable clock frequency, we propose to monitor the CPU workload periodically and adjust the task-to-core allocation or clock frequency in an energy-efficient way in response to the workload variations. In doing so, we present an online heuristic that determines the most energy-efficient adjustment that satisfies the performance requirement. The proposed method is based on a simple yet effective energy model that is built upon performance prediction using IPC (instructions per cycle) measured online and power equation derived empirically. The use of IPC accounts for memory intensities of a given workload, enabling the accurate prediction of execution time. Hence, the model allows us to rapidly and accurately estimate the effect of the two control knobs, clock frequency adjustment and core allocation. The experiments show that the proposed technique delivers considerable energy saving of up to 45%compared to the state-of-the-art multi-core energy management technique.
An Energy-Aware Runtime Management of Multi-Core Sensory Swarms
Kim, Sungchan
2017-01-01
In sensory swarms, minimizing energy consumption under performance constraint is one of the key objectives. One possible approach to this problem is to monitor application workload that is subject to change at runtime, and to adjust system configuration adaptively to satisfy the performance goal. As today’s sensory swarms are usually implemented using multi-core processors with adjustable clock frequency, we propose to monitor the CPU workload periodically and adjust the task-to-core allocation or clock frequency in an energy-efficient way in response to the workload variations. In doing so, we present an online heuristic that determines the most energy-efficient adjustment that satisfies the performance requirement. The proposed method is based on a simple yet effective energy model that is built upon performance prediction using IPC (instructions per cycle) measured online and power equation derived empirically. The use of IPC accounts for memory intensities of a given workload, enabling the accurate prediction of execution time. Hence, the model allows us to rapidly and accurately estimate the effect of the two control knobs, clock frequency adjustment and core allocation. The experiments show that the proposed technique delivers considerable energy saving of up to 45%compared to the state-of-the-art multi-core energy management technique. PMID:28837094
Chen, Stephanie I; Visser, Troy A W; Huf, Samuel; Loft, Shayne
2017-09-01
Automation can improve operator performance and reduce workload, but can also degrade operator situation awareness (SA) and the ability to regain manual control. In 3 experiments, we examined the extent to which automation could be designed to benefit performance while ensuring that individuals maintained SA and could regain manual control. Participants completed a simulated submarine track management task under varying task load. The automation was designed to facilitate information acquisition and analysis, but did not make task decisions. Relative to a condition with no automation, the continuous use of automation improved performance and reduced subjective workload, but degraded SA. Automation that was engaged and disengaged by participants as required (adaptable automation) moderately improved performance and reduced workload relative to no automation, but degraded SA. Automation engaged and disengaged based on task load (adaptive automation) provided no benefit to performance or workload, and degraded SA relative to no automation. Automation never led to significant return-to-manual deficits. However, all types of automation led to degraded performance on a nonautomated task that shared information processing requirements with automated tasks. Given these outcomes, further research is urgently required to establish how to design automation to maximize performance while keeping operators cognitively engaged. (PsycINFO Database Record (c) 2017 APA, all rights reserved).
77 FR 8823 - Proposed Collection; Comment Request
Federal Register 2010, 2011, 2012, 2013, 2014
2012-02-15
... and responsibility for central operational management of DoD PSI workload projections, and monitoring... instructions for submitting comments. Mail: Federal Docket Management System Office, 4800 Mark Center Drive... actual PSI submissions. The Office of Personnel Management (OPM) has responsibility to conduct PSIs and...
Federal Register 2010, 2011, 2012, 2013, 2014
2013-02-28
... Meeting Agenda and Workload Planning G. Pacific Halibut Management 1. Report on the International Pacific... Conservation Area and Take Limits 3. Recommendations for International Management Activities J. Enforcement... Fishery Management Council (Pacific Council); March 5-11, 2013 Pacific Council Meeting AGENCY: National...
Sloane, Elliot B; Rosow, Eric; Adam, Joe; Shine, Dave
2006-01-01
Each individual U.S. Air Force, Army, and Navy Surgeon General has integrated oversight of global medical supplies and resources using the Joint Medical Asset Repository (JMAR). A Business Intelligence system called the JMAR Executive Dashboard Initiative (JEDI) was developed over a three-year period to add real-time interactive data-mining tools and executive dashboards. Medical resources can now be efficiently reallocated to military, veteran, family, or civilian purposes and inventories can be maintained at lean levels with peaks managed by interactive dashboards that reduce workload and errors.
Liljamo, Pia; Lavander, Päivi; Kejonen, Pirjo
2016-01-01
The Oulu University Hospital's staffing management project sought information on the number of nursing staff in relation to treatment days and visits, using existing indicators to describe the activities involved. The retrospective data obtained was compared to human resources and the personnel structure. On this basis an optimal number of staff was determined for the units, taking account of a range of explanatory indicator data. The project made use of the computational model for nurse staffing and the World Health Organisation's (WHO) Workload Indicators of Staffing Need (WISN) method. The project provided extensive information on human resources issues within the units. Its results indicated the differences between wards with respect to the number and structure of resources. In addition, the nurse administrators lacked skills in gathering and using data from administrative datasets. This information will provide support for the further development of nursing operations and nursing management decision-making.
Cardiac-Activity Measures for Assessing Airport Ramp-Tower Controller's Workload
NASA Technical Reports Server (NTRS)
Hayashi, Miwa; Dulchinos, Victoria
2016-01-01
Heart rate (HR) and heart rate variability (HRV) potentially offer objective, continuous, and non-intrusive measures of human-operators mental workload. Such measurement capability is attractive for workload assessment in complex laboratory simulations or safety-critical field testing. The present study compares mean HR and HRV data with self-reported subjective workload ratings collected during a high-fidelity human-in-the-loop simulation of airport ramp traffic control operations, which involve complex cognitive and coordination tasks. Mean HR was found to be weakly sensitive to the workload ratings, while HRV was not sensitive or even contradictory to the assumptions. Until more knowledge on stress response mechanisms of the autonomic nervous system is obtained, it is recommended that these cardiac-activity measures be used with other workload assessment tools, such as subjective measures.
Cardiac-Activity Measures for Assessing Airport Ramp-Tower Controller's Workload
NASA Technical Reports Server (NTRS)
Hayashi, Miwa; Dulchinos, Victoria L.
2016-01-01
Heart rate (HR) and heart rate variability (HRV) potentially offer objective, continuous, and non-intrusive measures of human-operator's mental workload. Such measurement capability is attractive for workload assessment in complex laboratory simulations or safety-critical field testing. The present study compares mean HR and HRV data with self-reported subjective workload ratings collected during a high-fidelity human-in-the-loop simulation of airport ramp traffic control operations, which involve complex cognitive and coordination tasks. Mean HR was found to be weakly sensitive to the workload ratings, while HRV was not sensitive or even contradictory to the assumptions. Until more knowledge on stress response mechanisms of the autonomic nervous system is obtained, it is recommended that these cardiac-activity measures be used with other workload assessment tools, such as subjective measures.
CORSET: Service-Oriented Resource Management System in Linux
NASA Astrophysics Data System (ADS)
Kang, Dong-Jae; Kim, Chei-Yol; Jung, Sung-In
Generally, system resources are not enough for many running services and applications in a system. And services are more important than single process in real world and they have different priority or importance. So each service should be treated with discrimination in aspect of system resources. But administrator can't guarantee the specific service has proper resources in unsettled workload situation because many processes are in race condition. So, we suppose the service-oriented resource management subsystem to resolve upper problems. It guarantees the performance or QoS of the specific service in changeable workload situation by satisfying the minimum resource requirement for the service.
Nurses' work environment: indicators of satisfaction.
Suliman, Mohammad; Aljezawi, Maen
2018-01-10
This study aimed to investigate nurses' perceptions of the nursing work environment in Jordanian hospitals. Previous research has indicated a strong relationship between nurses' work environment and their satisfaction at work. However, little is known about the situation in Jordan. A cross-sectional and descriptive design was used. A sample of 500 nurses was recruited. The study was conducted using the Individual Workload Perception Revised scale (IWPS-R). A sum of 382 out of 500 nurses from three health care sectors in Jordan responded to the questionnaires (response rate = 76.4%). The results indicate that nurses working in the public hospitals had significantly better perceptions about their work environment than nurses working in private and university hospitals. Older nurses with lower academic qualifications are more likely to be satisfied with their work. Furthermore, nurses who have good perceptions of support from their manager and peers, and a manageable workload are more likely to stay in their jobs. The public hospitals are currently considered a more suitable milieu for nurses in Jordan. Other health care sectors should work to enhance nurses' working conditions. Providing a supportive work environment with a manageable workload will encourage nurses to stay in their hospitals. © 2018 John Wiley & Sons Ltd.
Linking Logistics and Operations: A Case Study of World War II Air Power
1991-01-01
Weapon System Evaluation Group, 1951, p. 30). The logistic innovation greatly extended the time that combat ships could remain on station and...presented. This Note was produced under the Project AIR FORCE Resource Management and System Acquisition Program in the project "Combat Support C3 Needs...maintenance workload data suggest either unacceptable system performance or excessive costs. The predictive power of these models is so poor as to
30 Years of radiotherapy service in Southern Thailand: workload vs resources.
Phungrassami, Temsak; Funsian, Amporn; Sriplung, Hutcha
2013-01-01
To study the pattern of patient load, personnel and equipment resources from 30-years experience in Southern Thailand. This retrospective study collected secondary data from the Division of Therapeutic Radiology and Oncology and the Songklanagarind Hospital Tumor Registry database, Faculty of Medicine, Prince of Songkla University, during the period of 1982-2012. The number of new patients who had radiation treatment gradually increased from 121 in 1982 to 2,178 in 2011. Shortages of all kinds of personnel were demonstrated as compared to the recommendations, especially in radiotherapy technicians. In 2011, Southern Thailand, with two radiotherapy centers, had 0.44 megavoltage radiotherapy machines (cobalt or linear accelerator) per million of population. This number is suboptimal, but could be managed cost-effectively by prolonging machine operating times during personnel shortages. This study identified a discrepancy between workload and resources in one medical school radiotherapy center in.
The WorkQueue project - a task queue for the CMS workload management system
NASA Astrophysics Data System (ADS)
Ryu, S.; Wakefield, S.
2012-12-01
We present the development and first experience of a new component (termed WorkQueue) in the CMS workload management system. This component provides a link between a global request system (Request Manager) and agents (WMAgents) which process requests at compute and storage resources (known as sites). These requests typically consist of creation or processing of a data sample (possibly terabytes in size). Unlike the standard concept of a task queue, the WorkQueue does not contain fully resolved work units (known typically as jobs in HEP). This would require the WorkQueue to run computationally heavy algorithms that are better suited to run in the WMAgents. Instead the request specifies an algorithm that the WorkQueue uses to split the request into reasonable size chunks (known as elements). An advantage of performing lazy evaluation of an element is that expanding datasets can be accommodated by having job details resolved as late as possible. The WorkQueue architecture consists of a global WorkQueue which obtains requests from the request system, expands them and forms an element ordering based on the request priority. Each WMAgent contains a local WorkQueue which buffers work close to the agent, this overcomes temporary unavailability of the global WorkQueue and reduces latency for an agent to begin processing. Elements are pulled from the global WorkQueue to the local WorkQueue and into the WMAgent based on the estimate of the amount of work within the element and the resources available to the agent. WorkQueue is based on CouchDB, a document oriented NoSQL database. The WorkQueue uses the features of CouchDB (map/reduce views and bi-directional replication between distributed instances) to provide a scalable distributed system for managing large queues of work. The project described here represents an improvement over the old approach to workload management in CMS which involved individual operators feeding requests into agents. This new approach allows for a system where individual WMAgents are transient and can be added or removed from the system as needed.
PD2P: PanDA Dynamic Data Placement for ATLAS
DOE Office of Scientific and Technical Information (OSTI.GOV)
Maeno, T.; De, K.; Panitkin, S.
2012-12-13
The PanDA (Production and Distributed Analysis) system plays a key role in the ATLAS distributed computing infrastructure. PanDA is the ATLAS workload management system for processing all Monte-Carlo (MC) simulation and data reprocessing jobs in addition to user and group analysis jobs. The PanDA Dynamic Data Placement (PD2P) system has been developed to cope with difficulties of data placement for ATLAS. We will describe the design of the new system, its performance during the past year of data taking, dramatic improvements it has brought about in the efficient use of storage and processing resources, and plans for the future.
Mayhew, Susannah H; Sweeney, Sedona; Warren, Charlotte E; Collumbien, Martine; Ndwiga, Charity; Mutemwa, Richard; Lut, Irina; Colombini, Manuela; Vassall, Anna
2017-11-01
Drawing on rich data from the Integra evaluation of integrated HIV and reproductive-health services, we explored the interaction of systems hardware and software factors to explain why some facilities were able to implement and sustain integrated service delivery while others were not. This article draws on detailed mixed-methods data for four case-study facilities offering reproductive-health and HIV services between 2009 and 2013 in Kenya: (i) time-series client flow, tracking service uptake for 8841 clients; (ii) structured questionnaires with 24 providers; (iii) in-depth interviews with 17 providers; (iv) workload and facility data using a periodic activity review and cost-instruments; and (v) contextual data on external activities related to integration in study sites. Overall, our findings suggested that although structural factors like stock-outs, distribution of staffing and workload, rotation of staff can affect how integrated care is provided, all these factors can be influenced by staff themselves: both frontline and management. Facilities where staff displayed agency of decision making, worked as a team to share workload and had management that supported this, showed better integration delivery and staff were able to overcome some structural deficiencies to enable integrated care. Poor-performing facilities had good structural integration, but staff were unable to utilize this because they were poorly organized, unsupported or teams were dysfunctional. Conscientious objection and moralistic attitudes were also barriers.Integra has demonstrated that structural integration is not sufficient for integrated service delivery. Rather, our case studies show that in some cases excellent leadership and peer-teamwork enabled facilities to perform well despite resource shortages. The ability to provide support for staff to work flexibly to deliver integrated services and build resilient health systems to meet changing needs is particularly relevant as health systems face challenges of changing burdens of disease, climate change, epidemic outbreaks and more. © The Author 2017. Published by Oxford University Press in association with The London School of Hygiene and Tropical Medicine.
NASA Technical Reports Server (NTRS)
Prevot, Thomas; Lee, Paul U.
2011-01-01
In this paper we introduce a new complexity metric to predict -in real-time- sector complexity for trajectory-based operations (TBO). TBO will be implemented in the Next Generation Air Transportation System (NextGen). Trajectory-Based Complexity (TBX) is a modified aircraft count that can easily be computed and communicated in a TBO environment based upon predictions of aircraft and weather trajectories. TBX is scaled to aircraft count and represents an alternate and additional means to manage air traffic demand and capacity with more consideration of dynamic factors such as weather, aircraft equipage or predicted separation violations, as well as static factors such as sector size. We have developed and evaluated TBX in the Airspace Operations Laboratory (AOL) at the NASA Ames Research Center during human-in-the-loop studies of trajectory-based concepts since 2009. In this paper we will describe the TBX computation in detail and present the underlying algorithm. Next, we will describe the specific TBX used in an experiment at NASA's AOL. We will evaluate the performance of this metric using data collected during a controller-inthe- loop study on trajectory-based operations at different equipage levels. In this study controllers were prompted at regular intervals to rate their current workload on a numeric scale. When comparing this real-time workload rating to the TBX values predicted for these time periods we demonstrate that TBX is a better predictor of workload than aircraft count. Furthermore we demonstrate that TBX is well suited to be used for complexity management in TBO and can easily be adjusted to future operational concepts.
Task Management for Firefighters: A Practical Approach to Task Management.
ERIC Educational Resources Information Center
Roberts, Stephen S.
1979-01-01
A project management system for organizing requests from multiple departments and controlling the workload of the development/maintenance computer staff is described. Practical solutions to deciding project priorities, determining time estimates, creating positive peer pressure among programing staff, and formalizing information requests are…
A Study of ATLAS Grid Performance for Distributed Analysis
NASA Astrophysics Data System (ADS)
Panitkin, Sergey; Fine, Valery; Wenaus, Torre
2012-12-01
In the past two years the ATLAS Collaboration at the LHC has collected a large volume of data and published a number of ground breaking papers. The Grid-based ATLAS distributed computing infrastructure played a crucial role in enabling timely analysis of the data. We will present a study of the performance and usage of the ATLAS Grid as platform for physics analysis in 2011. This includes studies of general properties as well as timing properties of user jobs (wait time, run time, etc). These studies are based on mining of data archived by the PanDA workload management system.
AH-64D Apache Longbow Aircrew Workload Assessment for Unmanned Aerial System (UAS) Employment
2009-01-01
data sources, gathering and maintaining the data needed, and completing and reviewing the collection information. Send comments regarding this burden...a head-eye tracker), audio-video, and tactics, techniques and procedures data were collected and analyzed. Pilot workload was found to be...5 2. Method 6 2.1 Data Collection
Deploy Nalu/Kokkos algorithmic infrastructure with performance benchmarking.
DOE Office of Scientific and Technical Information (OSTI.GOV)
Domino, Stefan P.; Ananthan, Shreyas; Knaus, Robert C.
The former Nalu interior heterogeneous algorithm design, which was originally designed to manage matrix assembly operations over all elemental topology types, has been modified to operate over homogeneous collections of mesh entities. This newly templated kernel design allows for removal of workset variable resize operations that were formerly required at each loop over a Sierra ToolKit (STK) bucket (nominally, 512 entities in size). Extensive usage of the Standard Template Library (STL) std::vector has been removed in favor of intrinsic Kokkos memory views. In this milestone effort, the transition to Kokkos as the underlying infrastructure to support performance and portability onmore » many-core architectures has been deployed for key matrix algorithmic kernels. A unit-test driven design effort has developed a homogeneous entity algorithm that employs a team-based thread parallelism construct. The STK Single Instruction Multiple Data (SIMD) infrastructure is used to interleave data for improved vectorization. The collective algorithm design, which allows for concurrent threading and SIMD management, has been deployed for the core low-Mach element- based algorithm. Several tests to ascertain SIMD performance on Intel KNL and Haswell architectures have been carried out. The performance test matrix includes evaluation of both low- and higher-order methods. The higher-order low-Mach methodology builds on polynomial promotion of the core low-order control volume nite element method (CVFEM). Performance testing of the Kokkos-view/SIMD design indicates low-order matrix assembly kernel speed-up ranging between two and four times depending on mesh loading and node count. Better speedups are observed for higher-order meshes (currently only P=2 has been tested) especially on KNL. The increased workload per element on higher-order meshes bene ts from the wide SIMD width on KNL machines. Combining multiple threads with SIMD on KNL achieves a 4.6x speedup over the baseline, with assembly timings faster than that observed on Haswell architecture. The computational workload of higher-order meshes, therefore, seems ideally suited for the many-core architecture and justi es further exploration of higher-order on NGP platforms. A Trilinos/Tpetra-based multi-threaded GMRES preconditioned by symmetric Gauss Seidel (SGS) represents the core solver infrastructure for the low-Mach advection/diffusion implicit solves. The threaded solver stack has been tested on small problems on NREL's Peregrine system using the newly developed and deployed Kokkos-view/SIMD kernels. fforts are underway to deploy the Tpetra-based solver stack on NERSC Cori system to benchmark its performance at scale on KNL machines.« less
Carter, Mary; Fletcher, Emily; Sansom, Anna; Warren, Fiona C; Campbell, John L
2018-01-01
Objectives To evaluate the feasibility, acceptability and effectiveness of webGP as piloted by six general practices. Methods Mixed-methods evaluation, including data extraction from practice databases, general practitioner (GP) completion of case reports, patient questionnaires and staff interviews. Setting General practices in NHS Northern, Eastern and Western Devon Clinical Commissioning Group’s area approximately 6 months after implementing webGP (February–July 2016). Participants Six practices provided consultations data; 20 GPs completed case reports (regarding 61 e-consults); 81 patients completed questionnaires; 5 GPs and 5 administrators were interviewed. Outcome measures Attitudes and experiences of practice staff and patients regarding webGP. Results WebGP uptake during the evaluation was small, showing no discernible impact on practice workload. The completeness of cross-sectional data on consultation workload varied between practices. GPs judged 41/61 (72%) of webGP requests to require a face-to-face or telephone consultation. Introducing webGP appeared to be associated with shifts in responsibility and workload between practice staff and between practices and patients. 81/231 patients completed a postal survey (35.1% response rate). E-Consulters were somewhat younger and more likely to be employed than face-to-face respondents. WebGP appeared broadly acceptable to patients regarding timeliness and quality/experience of care provided. Similar problems were presented by all respondents. Both groups appeared equally familiar with other practice online services; e-consulters were somewhat more likely to have used them. From semistructured staff interviews, it appeared that, while largely acceptable within practice, introducing e-consults had potential for adverse interactions with pre-existing practice systems. Conclusions There is potential to assess the impact of new systems on consultation patterns by extracting routine data from practice databases. Staff and patients noticed subtle changes to responsibilities associated with online options. Greater uptake requires good communication between practice and patients, and organisation of systems to avoid conflicts and misuse. Further research is required to evaluate the full potential of webGP in managing practice workload. PMID:29449293
Saleh, Ziad H; Jeong, Jeho; Quinn, Brian; Mechalakos, James; St Germain, Jean; Dauer, Lawrence T
2017-05-01
The workload for shielding purposes of modern linear accelerators (linacs) consists of primary and scatter radiation which depends on the dose delivered to isocenter (cGy) and leakage radiation which depends on the monitor units (MUs). In this study, we report on the workload for 10 treatment vaults in terms of dose to isocenter (cGy), monitor units delivered (MUs), number of treatment sessions (Txs), as well as, use factors (U) and modulation factors (CI) for different treatment techniques. The survey was performed for the years between 2006 and 2015 and included 16 treatment machines which represent different generations of Varian linear accelerators (6EX, 600C, 2100C, 2100EX, and TrueBeam) operating at different electron and x-ray energies (6, 9, 12, 16 and 20 MeV electrons and, 6 and 15 MV x-rays). An institutional review board (IRB) approval was acquired to perform this study. Data regarding patient workload, dose to isocenter, number of monitor units delivered, beam energies, gantry angles, and treatment techniques were exported from an ARIA treatment management system (Varian Medical Systems, Palo Alto, Ca.) into Excel spreadsheets and data analysis was performed in Matlab. The average (± std-dev) number of treatment sessions, dose to isocenter, and number of monitor units delivered per week per machine in 2006 was 119 ± 39 Txs, (300 ± 116) × 10 2 cGys, and (78 ± 28) × 10 3 MUs respectively. In contrast, the workload in 2015 was 112 ± 40 Txs, (337 ± 124) × 10 2 cGys, and (111 ± 46) × 10 3 MUs. 60% of the workload (cGy) was delivered using 6 MV and 30% using 15 MV while the remaining 10% was delivered using electron beams. The modulation factors (MU/cGy) for IMRT and VMAT were 5.0 (± 3.4) and 4.6 (± 1.6) respectively. Use factors using 90° gantry angle intervals were equally distributed (~0.25) but varied considerably among different treatment techniques. The workload, in terms of dose to isocenter (cGy) and subsequently monitor units (MUs), has been steadily increasing over the past decade. This increase can be attributed to increased use of high dose hypo-fractionated regimens (SBRT, SRS) and the increase in use of IMRT and VMAT, which require higher MUs per cGy as compared to more conventional treatment (3DCRT). Meanwhile, the patient workload in terms of treatment sessions per week remained relatively constant. The findings of this report show that variables used for shielding purposes still fall within the recommendation of NCRP Report 151. © 2017 The Authors. Journal of Applied Clinical Medical Physics published by Wiley Periodicals, Inc. on behalf of American Association of Physicists in Medicine.
Popularity Prediction Tool for ATLAS Distributed Data Management
NASA Astrophysics Data System (ADS)
Beermann, T.; Maettig, P.; Stewart, G.; Lassnig, M.; Garonne, V.; Barisits, M.; Vigne, R.; Serfon, C.; Goossens, L.; Nairz, A.; Molfetas, A.; Atlas Collaboration
2014-06-01
This paper describes a popularity prediction tool for data-intensive data management systems, such as ATLAS distributed data management (DDM). It is fed by the DDM popularity system, which produces historical reports about ATLAS data usage, providing information about files, datasets, users and sites where data was accessed. The tool described in this contribution uses this historical information to make a prediction about the future popularity of data. It finds trends in the usage of data using a set of neural networks and a set of input parameters and predicts the number of accesses in the near term future. This information can then be used in a second step to improve the distribution of replicas at sites, taking into account the cost of creating new replicas (bandwidth and load on the storage system) compared to gain of having new ones (faster access of data for analysis). To evaluate the benefit of the redistribution a grid simulator is introduced that is able replay real workload on different data distributions. This article describes the popularity prediction method and the simulator that is used to evaluate the redistribution.
Nurse manager perceptions of role satisfaction and retention at an academic medical center.
Zwink, Jennifer E; Dzialo, Maureen; Fink, Regina M; Oman, Kathleen S; Shiskowsky, Kaycee; Waite, Kathi; DeVine, Deborah; Sanders, Carolyn L; Le-Lazar, Jamie T T
2013-03-01
The aim of this study was to explore the perceptions of inpatient acute care nurse managers (NM) employed at an academic Magnet® hospital about factors that influence NM retention, including current work environment, satisfaction, work-life balance, sucssful NM traits, and personal development and educational needs. Nurse managers are challenged with increased workloads impacting their ability to implement all role components. A qualitative descriptive study design used focus group methodology to explore perceptions of the NM role. Nurse managers identified staff recognition, support, peer relationships, collaboration, and ability to make positive change as factors influencing their decision to remain in the role. Burnout factors included workload issues, work-life imbalance, and difficulty sustaining positive relationships. Traits supporting success were communication, resiliency, integrity, and a visionary outlook. Suggestions for NM development and education were identified. Findings can be used to improve NM satisfaction, work-life balance, recruitment, retention, and succession planning.
Jørgensen, Marie Birk; Nabe-Nielsen, Kirsten; Clausen, Thomas; Holtermann, Andreas
2013-03-15
Prospective cohort study. To investigate the independent effect of physical workload and childhood socioeconomic status (CSES) on low back pain (LBP) and LBP-related sickness absence among female health care workers. The role of physical workload on LBP independently from CSES is still subject to controversy. We used questionnaire data from 1661 female social and health care workers responding to a questionnaire in 2004, 2005, and 2006. We collected information on CSES (parental occupation), physical workload, and LBP-prevalence (no LBP, subchronic LBP, and frequent LBP), and LBP-related sickness absence. The participants were categorized into 5 groups according to CSES (I = highest, V = lowest). Data were analyzed using logistic regression analysis. Irrespective of CSES, high physical workload increased the odds ratio (OR) of future subchronic LBP (OR = 2.03; 95% confidence interval [CI], 1.61-2.57) and frequent LBP (OR = 2.20; 95% CI, 1.65-3.00), but not LBP-related sickness absence. The odds of subchronic LBP were lower in CSES groups II (OR = 0.62; 95% CI, 0.42-0.93) and III (OR = 0.58; 95% CI, 0.39-0.86) referencing CSES group I, irrespective of physical workload. The odds of short-term LBP-related sickness absence were higher in CSES groups III (OR = 2.78; 95% CI, 1.41-5.47) and IV (OR = 2.18; 95% CI, 1.11-4.27) referencing CSES group I, irrespective of physical workload. We found no interaction between physical workload and CSES. Physical workload and CSES are independently associated with future LBP within a group with similar occupational status. N/A.
A computerized multidimensional measurement of mental workload via handwriting analysis.
Luria, Gil; Rosenblum, Sara
2012-06-01
The goal of this study was to test the effect of mental workload on handwriting behavior and to identify characteristics of low versus high mental workload in handwriting. We hypothesized differences between handwriting under three different load conditions and tried to establish a profile that integrated these indicators. Fifty-six participants wrote three numerical progressions of varying difficulty on a digitizer attached to a computer so that we could evaluate their handwriting behavior. Differences were found in temporal, spatial, and angular velocity handwriting measures, but no significant differences were found for pressure measures. Using data reduction, we identified three clusters of handwriting, two of which differentiated well according to the three mental workload conditions. We concluded that handwriting behavior is affected by mental workload and that each measure provides distinct information, so that they present a comprehensive indicator of mental workload.
Knowledge-Based Scheduling of Arrival Aircraft in the Terminal Area
NASA Technical Reports Server (NTRS)
Krzeczowski, K. J.; Davis, T.; Erzberger, H.; Lev-Ram, Israel; Bergh, Christopher P.
1995-01-01
A knowledge based method for scheduling arrival aircraft in the terminal area has been implemented and tested in real time simulation. The scheduling system automatically sequences, assigns landing times, and assign runways to arrival aircraft by utilizing continuous updates of aircraft radar data and controller inputs. The scheduling algorithm is driven by a knowledge base which was obtained in over two thousand hours of controller-in-the-loop real time simulation. The knowledge base contains a series of hierarchical 'rules' and decision logic that examines both performance criteria, such as delay reductions, as well as workload reduction criteria, such as conflict avoidance. The objective of the algorithm is to devise an efficient plan to land the aircraft in a manner acceptable to the air traffic controllers. This paper describes the scheduling algorithms, gives examples of their use, and presents data regarding their potential benefits to the air traffic system.
Knowledge-based scheduling of arrival aircraft
NASA Technical Reports Server (NTRS)
Krzeczowski, K.; Davis, T.; Erzberger, H.; Lev-Ram, I.; Bergh, C.
1995-01-01
A knowledge-based method for scheduling arrival aircraft in the terminal area has been implemented and tested in real-time simulation. The scheduling system automatically sequences, assigns landing times, and assigns runways to arrival aircraft by utilizing continuous updates of aircraft radar data and controller inputs. The scheduling algorithms is driven by a knowledge base which was obtained in over two thousand hours of controller-in-the-loop real-time simulation. The knowledge base contains a series of hierarchical 'rules' and decision logic that examines both performance criteria, such as delay reduction, as well as workload reduction criteria, such as conflict avoidance. The objective of the algorithms is to devise an efficient plan to land the aircraft in a manner acceptable to the air traffic controllers. This paper will describe the scheduling algorithms, give examples of their use, and present data regarding their potential benefits to the air traffic system.
Data-linked pilot reply time on controller workload and communication in a simulated terminal option
DOT National Transportation Integrated Search
2001-05-01
This report describes an analysis of air traffic control communication and workload in a simulated terminal radar approach : control environment. The objective of this study was to investigate how pilot-to-controller data-link acknowledgment time : m...
The impact of workload on the ability to localize audible alarms.
Edworthy, Judy; Reid, Scott; Peel, Katie; Lock, Samantha; Williams, Jessica; Newbury, Chloe; Foster, Joseph; Farrington, Martin
2018-10-01
Very little is known about people's ability to localize sound under varying workload conditions, though it would be expected that increasing workload should degrade performance. A set of eight auditory clinical alarms already known to have relatively high localizability (the ease with which their location is identified) when tested alone were tested in six conditions where workload was varied. Participants were required to indicate the location of a series of alarms emanating at random from one of eight speaker locations. Additionally, they were asked to read, carry out mental arithmetic tasks, be exposed to typical ICU noise, or carry out either the reading task or the mental arithmetic task in ICU noise. Performance in the localizability task was best in the control condition (no secondary task) and worst in those tasks which involved both a secondary task and noise. The data does therefore demonstrate the typical pattern of increasing workload affecting a primary task in an area where there is little data. In addition, the data demonstrates that performance in the control condition results in a missed alarm on one in ten occurrences, whereas performance in the heaviest workload conditions results in a missed alarm on every fourth occurrence. This finding has implications for the understanding of both 'inattentional deafness' and 'alarm fatigue' in clinical environments. Copyright © 2018 Elsevier Ltd. All rights reserved.
Domestic chores workload and depressive symptoms among children affected by HIV/AIDS in China.
Yu, Yun; Li, Xiaoming; Zhang, Liying; Zhao, Junfeng; Zhao, Guoxiang; Zheng, Yu; Stanton, Bonita
2013-01-01
Limited data are available regarding the effects of domestic chores workload on psychological problems among children affected by HIV/AIDS in China. The current study aims to examine association between children's depressive symptoms and the domestic chores workload (i.e., the frequency and the amount of time doing domestic chores). Data were derived from the baseline survey of a longitudinal study which investigated the impact of parental HIV/AIDS on psychological problems of children. A total of 1449 children in family-based care were included in the analysis: 579 orphaned children who lost one or both parents due to AIDS, 466 vulnerable children living with one or both parents being infected with HIV, and 404 comparison children who did not have HIV/AIDS-infected family members in their families. Results showed differences on domestic chores workload between children affected by HIV/AIDS (orphans and vulnerable children) and the comparison children. Children affected by HIV/AIDS worked more frequently and worked longer time on domestic chores than the comparison children. Multivariate linear regression analysis showed that domestic chores workload was positively associated with depressive symptoms. The data suggest that children affected by HIV/AIDS may face increasing burden of domestic chores and it is necessary to reduce the excessive workload of domestic chores among children affected by HIV/AIDS through increasing community-based social support for children in the families affected by HIV/AIDS.
Approximate entropy: a new evaluation approach of mental workload under multitask conditions
NASA Astrophysics Data System (ADS)
Yao, Lei; Li, Xiaoling; Wang, Wei; Dong, Yuanzhe; Jiang, Ying
2014-04-01
There are numerous instruments and an abundance of complex information in the traditional cockpit display-control system, and pilots require a long time to familiarize themselves with the cockpit interface. This can cause accidents when they cope with emergency events, suggesting that it is necessary to evaluate pilot cognitive workload. In order to establish a simplified method to evaluate cognitive workload under a multitask condition. We designed a series of experiments involving different instrument panels and collected electroencephalograms (EEG) from 10 healthy volunteers. The data were classified and analyzed with an approximate entropy (ApEn) signal processing. ApEn increased with increasing experiment difficulty, suggesting that it can be used to evaluate cognitive workload. Our results demonstrate that ApEn can be used as an evaluation criteria of cognitive workload and has good specificity and sensitivity. Moreover, we determined an empirical formula to assess the cognitive workload interval, which can simplify cognitive workload evaluation under multitask conditions.
Lavner, Justin A; Clark, Malissa A
2017-08-01
Although many studies have found that higher workloads covary with lower levels of marital satisfaction, the question of whether workloads may also predict changes in marital satisfaction over time has been overlooked. To address this question, we investigated the lagged association between own and partner workload and marital satisfaction using eight waves of data collected every 6 months over the first four years of marriage from 172 heterosexual couples. Significant crossover, but not spillover, effects were found, indicating that partners of individuals with higher workloads at one time point experience greater declines in marital satisfaction by the following time point compared to the partners of individuals with lower workloads. These effects were not moderated by gender or parental status. These findings suggest that higher partner workloads can prove deleterious for relationship functioning over time and call for increased attention to the long-term effects of spillover and crossover from work to marital functioning.
ERIC Educational Resources Information Center
Gonzalez, Sylvia; Bernard, Hinsdale
2006-01-01
The focus of this investigation was to determine the possible relationship of workload typologies and other selected demographic variables to levels of burnout among full-time faculty in Seventh-day Adventist colleges and universities in North America. Four typologies of academic workload emerged from the study of the data. The results revealed…
Robbins, Anthony S; Moilanen, Dale A; Fonseca, Vincent P; Chao, Susan Y
2002-04-01
A study was conducted to examine the relationship between two types of trends in the Air Force Medical Service Direct Care System (AFMS/DCS): trends in expenditures, total and by categories; and trends in medical workload, defined as the sum of inpatient admissions and outpatient clinic visits. Expenditure and medical workload data were extracted from the Medical Expense and Performance Reporting System Executive Query System. Medical inflation data were obtained from the Bureau of Labor Statistics Producer Price Index series. Between fiscal years 1995 and 1999, the AFMS/DCS experienced a 21.2% decrease in medical workload, but total (nominal) expenditures declined only 3.6%. Of all expenditure categories, only inpatient medical care, outpatient medical care, and military-funded private sector care for active duty personnel (supplemental care) have any direct relationship with AFMS/DCS medical workload. Real expenditures for the three categories above decreased by 20.3% during the 5-year period. Accounting for inflation and considering only expenditures related to medical workload, these results suggest that the AFMS/DCS is spending approximately 20% less money to do approximately 20% less work.
NASA Technical Reports Server (NTRS)
Waller, M. C.
1976-01-01
An electro-optical device called an oculometer which tracks a subject's lookpoint as a time function has been used to collect data in a real-time simulation study of instrument landing system (ILS) approaches. The data describing the scanning behavior of a pilot during the instrument approaches have been analyzed by use of a stepwise regression analysis technique. A statistically significant correlation between pilot workload, as indicated by pilot ratings, and scanning behavior has been established. In addition, it was demonstrated that parameters derived from the scanning behavior data can be combined in a mathematical equation to provide a good representation of pilot workload.
Training and testing ERP-BCIs under different mental workload conditions
NASA Astrophysics Data System (ADS)
Ke, Yufeng; Wang, Peiyuan; Chen, Yuqian; Gu, Bin; Qi, Hongzhi; Zhou, Peng; Ming, Dong
2016-02-01
Objective. As one of the most popular and extensively studied paradigms of brain-computer interfaces (BCIs), event-related potential-based BCIs (ERP-BCIs) are usually built and tested in ideal laboratory settings in most existing studies, with subjects concentrating on stimuli and intentionally avoiding possible distractors. This study is aimed at examining the effect of simultaneous mental activities on ERP-BCIs by manipulating various levels of mental workload during the training and/or testing of an ERP-BCI. Approach. Mental workload was manipulated during the training or testing of a row-column P300-speller to investigate how and to what extent the spelling performance and the ERPs evoked by the oddball stimuli are affected by simultaneous mental workload. Main results. Responses of certain ERP components, temporal-occipital N200 and the late reorienting negativity evoked by the oddball stimuli and the classifiability of ERP features between targets and non-targets decreased with the increase of mental workload encountered by the subject. However, the effect of mental workload on the performance of ERP-BCI was not always negative but depended on the conditions where the ERP-BCI was built and applied. The performance of ERP-BCI built under an ideal lab setting without any irrelevant mental activities declined with the increasing mental workload of the testing data. However, the performance was significantly improved when an ERP-BCI was built under an appropriate mental workload level, compared to that built under speller-only conditions. Significance. The adverse effect of concurrent mental activities may present a challenge for ERP-BCIs trained in ideal lab settings but which are to be used in daily work, especially when users are performing demanding mental processing. On the other hand, the positive effects of the mental workload of the training data suggest that introducing appropriate mental workload during training ERP-BCIs is of potential benefit to the performance in practical applications.
Hassell, Karen; Seston, Elizabeth Mary; Schafheutle, Ellen Ingrid; Wagner, Andrew; Eden, Martin
2011-11-01
New contractual frameworks for community pharmacy are believed to have increased workload for pharmacists; too much work has been implicated in high profile cases of dispensing errors leading to patient harm, and concerns about pharmacists' well-being. A review was undertaken to ascertain whether community pharmacists' workload has increased and whether links between workload and patient safety and pharmacists' well-being have been established. We searched Scopus; EMBASE; MEDLINE; PubMed; CINAHL; PsychINFO; ASSIA; E-pic, and International Pharmaceutical Abstracts for research published between 1989 and 2010 containing data on UK community pharmacy workload, and on its consequences when workload was found to be a determinant of either patient or pharmacist outcomes. Researchers assessed retrieved material against inclusion and exclusion criteria and synthesised findings using a data extraction form. Fifteen studies were retrieved that met the inclusion criteria. A number of methodological weaknesses were identified: studies categorised work tasks and workload differently making comparisons over time or between studies difficult; most studies were small scale or conducted in specific localities, or lacked sufficient methodological information to rule out bias; studies that control for possible confounders are rare. The reviewed research suggests that community pharmacists still spend the majority of their time involved in activities associated with the dispensing of prescriptions. There is some evidence that community pharmacists' workload has increased since the introduction of the new contracts in England and Wales, especially around the core activity of dispensing prescriptions and medicines use reviews. There is also some evidence to suggest a link between heavy workload and aspects of pharmacists' well-being but there is no robust evidence indicating threats to patient safety caused by their having too much work to do. More high quality research is required to examine what constitutes too much work, the impact of high workload, and associations with other work place factors. © 2011 Blackwell Publishing Ltd.
Carmona-Monge, Francisco Javier; Rollán Rodríguez, Gloria Ma; Quirós Herranz, Cristina; García Gómez, Sonia; Marín-Morales, Dolores
2013-08-01
To determine the relationship between nursing workload measured through the nine equivalents of nursing manpower use (NEMS) scale and that measured through the nursing activities score (NAS) scale and to analyse staff needs as determined through each of the scales. The study used a descriptive prospective correlational design to collect data between October 2007 and July 2009. Nursing workload data for 730 ICU patients were collected daily using the NAS and NEMS scales. Both scales were then correlated and used to estimate staff needs. 6815 score pairs were collected, which reflected the nursing workload for each patient as calculated daily using both scales. Pearson's correlation coefficient for individual measurements obtained through the NAS and the NEMS corresponded to .672, and to .932 for the daily total workload in the unit. The staffing requirements based on the NAS scale scores were significantly higher than those based on the NEMS scale. A high correlation existed for individual measurements using both scales and for the total workload measurement in the unit. The main difference was found when analysing staffing requirements, with higher staff numbers needed for the NAS scale. Both NAS and NEMS can be used to measure the nursing workload in the ICU. Staffing requirements using NAS were higher than those using NEMS. Copyright © 2013 Elsevier Ltd. All rights reserved.
NASA Technical Reports Server (NTRS)
Hayashi, Miwa; Hoang, Ty; Jung, Yoon C.; Malik, Waqar; Lee, Hanbong; Dulchinos, Victoria L.
2015-01-01
This paper proposes a new departure pushback decision-support tool (DST) for airport ramp-tower controllers. It is based on NASA's Spot and Runway Departure Advisor (SARDA) collaborative decision-making concept, except with the modification that the gate releases now are controlled by tactical pushback (or gate-hold) advisories instead of strategic pre-assignments of target pushback times to individual departure flights. The proposed ramp DST relies on data exchange with the airport traffic control tower (ATCT) to coordinate pushbacks with the ATCT's flow-management intentions under current operational constraints, such as Traffic Management Initiative constraints. Airlines would benefit in reduced taxi delay and fuel burn. The concept was evaluated in a human-in-the-loop simulation experiment with current ramp-tower controllers at the Charlotte Douglas International Airport as participants. The results showed that the tool helped reduce taxi time by one minute per flight and overall departure flight fuel consumption by 10-12% without reducing runway throughput. Expect Departure Clearance Time (EDCT) conformance also was improved when advisories were provided. These benefits were attained without increasing the ramp-tower controllers' workload. Additionally, the advisories reduced the ATCT controllers' workload.
Anaemia management protocols in the care of haemodialysis patients: examining patient outcomes.
Saunders, Sushila; MacLeod, Martha L P; Salyers, Vince; MacMillan, Peter D; Ogborn, Malcolm R
2013-08-01
To determine whether the use of a nurse-driven protocol in the haemodialysis setting is as safe and effective as traditional physician-driven approaches to anaemia management. The role of haemodialysis nurses in renal anaemia management has evolved through the implementation of nurse-driven protocols, addressing the trend of exceeding haemoglobin targets and rising costs of erythropoietin-stimulating agents. Retrospective, non-equivalent case control group design. The sample was from three haemodialysis units in a control group (n = 64) and three haemodialysis units in a protocol group (n = 43). The protocol group used a nurse-driven renal anaemia management protocol, while the control group used a traditional physician-driven approach to renal anaemia management. All retrospective data were obtained from a provincial renal database. Data were analysed using chi-square tests and t-tests. Patient outcomes examined were haemoglobin levels, transferrin saturation levels, erythropoietin-stimulating agents use and intravenous iron use. Cost comparisons were determined using average use of erythropoietin-stimulating agents and intravenous iron. Control and protocol groups reached haemoglobin target levels. In the protocol group, 75% reached transferrin saturation target levels in comparison with 25% of the control group. Use and costs for iron was higher in the control group, while use and costs for erythropoietin was higher in the protocol group. The higher usage of erythropoietin-stimulating agents was potentially related to comorbid conditions amongst the protocol group. A nurse-driven protocol approach to renal anaemia management was as effective as the physician-driven approach in reaching haemoglobin and transferrin saturation levels. Further examination of the use and dosing of erythropoietin-stimulating agents and intravenous iron, their impact on haemoglobin levels related to patient comorbidities and subsequent cost effectiveness of protocols is required. Using a nurse-driven protocol in practice supports the independent nursing role while contributing to safe patient outcomes. © 2013 Blackwell Publishing Ltd.
School nurses and children with diabetes: a descriptive study.
Engelke, Martha Keehner; Swanson, Melvin; Guttu, Martha; Warren, Michelle B; Lovern, Sarah
2011-01-01
Managing diabetes in children is complex. The aims of this descriptive study were to describe the care provided to children with diabetes by school nurses using case management, to identify differences in care on the basis of the workload of the nurse and the age of the child, to explore the role of the nurse in responding to emergencies, and to describe the relationship between case management and quality of life. School nurses completed an expanded health assessment. Individualized goals were established and interventions were provided on the basis of a protocol. Quantitative and qualitative data for children enrolled during the 2009-2010 academic year were analyzed. Eighty-six children were enrolled. The most common goals were related to establishing a safe school environment. Interventions varied depending on the workload of the nurse and the age of the child. Nurses assigned to 1-2 schools provided more intervention days (mean, 40.3 days) than did nurses assigned to 3-4 schools (mean, 24.4 days) (P < .05), particularly in the area of direct care. A total of 25 students experienced an emergency at school that initiated a cascade of events involving the parent (in 100% of cases), the teacher (in 96%), management of hyperglycemia (in 100%), and/or management of hypoglycemia (in 96%). For teens, case management improved quality of life, particularly the ability to communicate with health professionals. The sample was small, and there was no comparison group. School nurses are effective in using case management to enhance the health and well-being of children with diabetes. This study should be replicated with a larger sample, a comparison group, and the inclusion of clinical outcomes.
NASA Technical Reports Server (NTRS)
Lee, Katharine K.; Kerns, Karol; Bone, Randall
2001-01-01
The measurement of operational acceptability is important for the development, implementation, and evolution of air traffic management decision support tools. The Controller Acceptance Rating Scale was developed at NASA Ames Research Center for the development and evaluation of the Passive Final Approach Spacing Tool. CARS was modeled after a well-known pilot evaluation rating instrument, the Cooper-Harper Scale, and has since been used in the evaluation of the User Request Evaluation Tool, developed by MITRE's Center for Advanced Aviation System Development. In this paper, we provide a discussion of the development of CARS and an analysis of the empirical data collected with CARS to examine construct validity. Results of intraclass correlations indicated statistically significant reliability for the CARS. From the subjective workload data that were collected in conjunction with the CARS, it appears that the expected set of workload attributes was correlated with the CARS. As expected, the analysis also showed that CARS was a sensitive indicator of the impact of decision support tools on controller operations. Suggestions for future CARS development and its improvement are also provided.
Holden, Richard J.; Scanlon, Matthew C.; Patel, Neal R.; Kaushal, Rainu; Escoto, Kamisha Hamilton; Brown, Roger L.; Alper, Samuel J.; Arnold, Judi M.; Shalaby, Theresa M.; Murkowski, Kathleen; Karsh, Ben-Tzion
2010-01-01
Backgrounds Nursing workload is increasingly thought to contribute to both nurses’ quality of working life and quality/safety of care. Prior studies lack a coherent model for conceptualizing and measuring the effects of workload in health care. In contrast, we conceptualized a human factors model for workload specifying workload at three distinct levels of analysis and having multiple nurse and patient outcomes. Methods To test this model, we analyzed results from a cross-sectional survey of a volunteer sample of nurses in six units of two academic tertiary care pediatric hospitals. Results Workload measures were generally correlated with outcomes of interest. A multivariate structural model revealed that: the unit-level measure of staffing adequacy was significantly related to job dissatisfaction (path loading = .31) and burnout (path loading = .45); the task-level measure of mental workload related to interruptions, divided attention, and being rushed was associated with burnout (path loading = .25) and medication error likelihood (path loading = 1.04). Job-level workload was not uniquely and significantly associated with any outcomes. Discussion The human factors engineering model of nursing workload was supported by data from two pediatric hospitals. The findings provided a novel insight into specific ways that different types of workload could affect nurse and patient outcomes. These findings suggest further research and yield a number of human factors design suggestions. PMID:21228071
Holden, Richard J; Scanlon, Matthew C; Patel, Neal R; Kaushal, Rainu; Escoto, Kamisha Hamilton; Brown, Roger L; Alper, Samuel J; Arnold, Judi M; Shalaby, Theresa M; Murkowski, Kathleen; Karsh, Ben-Tzion
2011-01-01
Nursing workload is increasingly thought to contribute to both nurses' quality of working life and quality/safety of care. Prior studies lack a coherent model for conceptualising and measuring the effects of workload in healthcare. In contrast, we conceptualised a human factors model for workload specifying workload at three distinct levels of analysis and having multiple nurse and patient outcomes. To test this model, we analysed results from a cross-sectional survey of a volunteer sample of nurses in six units of two academic tertiary care paediatric hospitals. Workload measures were generally correlated with outcomes of interest. A multivariate structural model revealed that: the unit-level measure of staffing adequacy was significantly related to job dissatisfaction (path loading=0.31) and burnout (path loading=0.45); the task-level measure of mental workload related to interruptions, divided attention, and being rushed was associated with burnout (path loading=0.25) and medication error likelihood (path loading=1.04). Job-level workload was not uniquely and significantly associated with any outcomes. The human factors engineering model of nursing workload was supported by data from two paediatric hospitals. The findings provided a novel insight into specific ways that different types of workload could affect nurse and patient outcomes. These findings suggest further research and yield a number of human factors design suggestions.
Bowen, Laura; Gross, Aleksander Stefan; Gimpel, Mo; Li, François-Xavier
2017-01-01
Aim The purpose of this study was to investigate the relationship between physical workload and injury risk in elite youth football players. Methods The workload data and injury incidence of 32 players were monitored throughout 2 seasons. Multiple regression was used to compare cumulative (1, 2, 3 and 4-weekly) loads and acute:chronic (A:C) workload ratios (acute workload divided by chronic workload) between injured and non-injured players for specific GPS and accelerometer-derived variables:total distance (TD), high-speed distance (HSD), accelerations (ACC) and total load. Workloads were classified into discrete ranges by z-scores and the relative risk was determined. Results A very high number of ACC (≥9254) over 3 weeks was associated with the highest significant overall (relative risk (RR)=3.84) and non-contact injury risk (RR=5.11). Non-contact injury risk was significantly increased when a high acute HSD was combined with low chronic HSD (RR=2.55), but not with high chronic HSD (RR=0.47). Contact injury risk was greatest when A:C TD and ACC ratios were very high (1.76 and 1.77, respectively) (RR=4.98). Conclusions In general, higher accumulated and acute workloads were associated with a greater injury risk. However, progressive increases in chronic workload may develop the players' physical tolerance to higher acute loads and resilience to injury risk. PMID:27450360
Khan, Shah H M; Hedges, William P
2016-04-01
Increasing workloads and the current austerity measures are putting UK radiology departments under considerable stress. We need to look at the most efficient ways to manage radiology departments in order to cope with increasing demand. Consequently, a system is needed that can compare productivity between radiologists with different jobs. We measured workload in a UK radiology department and compared the productivities of consultants working different numbers of sessions, which are called programmed activities (PAs), to identify the optimal job plan structure for reporting productivity. Reporting data was gathered from electronic records for 14 consultants working different numbers of PA during the period April 2010-March 2011. These were converted into relative value unit (RVU) scores using a modified RCSI RVU system. Crude and net workloads were calculated for each consultant by dividing their total RVU score by the number of PAs they were contracted for and how many they spent reporting. The consultants reported 118,001 imaging studies. There was statistically significant variation in productivity between consultants working different numbers of PAs on χ (2) analysis (p < 0.05). Consultants working 12 PAs were more productive than consultants working 11 PAs, with net workloads of 7636 RVU/PA/year versus net 6146 RVU/PA/year, p < 0.05. Although UK consultants working 12 PAs per week are more productive than their colleagues, the reasons why are unclear. We have identified a method that can be developed further to identify efficient working practices in UK radiology departments. However, a UK-specific RVU system would make this productivity analysis more accurate.
Delegation: Win-Win Strategies for Managing Early Childhood Settings.
ERIC Educational Resources Information Center
Hayden, Jacqueline
1999-01-01
This issue of the Australian Early Childhood Association Research in Practice Series provides staff management strategies for directors and others involved with the management of early childhood settings and suggests ways to effectively delegate authority and tasks in order to reduce administrative pressures and workload. The booklet presents…
Academic Workload and Working Time: Retrospective Perceptions versus Time-Series Data
ERIC Educational Resources Information Center
Kyvik, Svein
2013-01-01
The purpose of this article is to examine the validity of perceptions by academic staff about their past and present workload and working hours. Retrospective assessments are compared with time-series data. The data are drawn from four mail surveys among academic staff in Norwegian universities undertaken in the period 1982-2008. The findings show…
Epstein, R H; Dexter, F
2012-09-01
Perioperative interruptions generated electronically from anaesthesia information management systems (AIMS) can provide useful feedback, but may adversely affect task performance if distractions occur at inopportune moments. Ideally such interruptions would occur only at times when their impact would be minimal. In this study of AIMS data, we evaluated the times of comments, drugs, fluids and periodic assessments (e.g. electrocardiogram diagnosis and train-of-four) to develop recommendations for the timing of interruptions during the intraoperative period. The 39,707 cases studied were divided into intervals between: 1) enter operating room; 2) induction; 3) intubation; 4) surgical incision; and 5) end surgery. Five-minute intervals of no documentation were determined for each case. The offsets from the start of each interval when >50% of ongoing cases had completed initial documentation were calculated (MIN50). The primary endpoint for each interval was the percentage of all cases still ongoing at MIN50. Results were that the intervals from entering the operating room to induction and from induction to intubation were unsuitable for interruptions confirming prior observational studies of anaesthesia workload. At least 13 minutes after surgical incision was the most suitable time for interruptions with 92% of cases still ongoing. Timing was minimally affected by the type of anaesthesia, surgical facility, surgical service, prone positioning or scheduled case duration. The implication of our results is that for mediated interruptions, waiting at least 13 minutes after the start of surgery is appropriate. Although we used AIMS data, operating room information system data is also suitable.
The Relationship of Self-Efficacy and Complacency in Pilot-Automation Interaction
NASA Technical Reports Server (NTRS)
Prinzel, Lawrence J., III
2002-01-01
Pilot 'complacency' has been implicated as a contributing factor in numerous aviation accidents and incidents. The term has become more prominent with the increase in automation technology in modern cockpits and, therefore, research has been focused on understanding the factors that may mitigate its effect on pilot-automation interaction. The study examined self-efficacy of supervisory monitoring and the relationship between complacency on strategy of pilot use of automation for workload management under automation schedules that produce the potential for complacency. The results showed that self-efficacy can be a 'double-edged' sword in reducing potential for automation-induced complacency but limiting workload management strategies and increasing other hazardous states of awareness.
Methodological integrative review of the work sampling technique used in nursing workload research.
Blay, Nicole; Duffield, Christine M; Gallagher, Robyn; Roche, Michael
2014-11-01
To critically review the work sampling technique used in nursing workload research. Work sampling is a technique frequently used by researchers and managers to explore and measure nursing activities. However, work sampling methods used are diverse making comparisons of results between studies difficult. Methodological integrative review. Four electronic databases were systematically searched for peer-reviewed articles published between 2002-2012. Manual scanning of reference lists and Rich Site Summary feeds from contemporary nursing journals were other sources of data. Articles published in the English language between 2002-2012 reporting on research which used work sampling to examine nursing workload. Eighteen articles were reviewed. The review identified that the work sampling technique lacks a standardized approach, which may have an impact on the sharing or comparison of results. Specific areas needing a shared understanding included the training of observers and subjects who self-report, standardization of the techniques used to assess observer inter-rater reliability, sampling methods and reporting of outcomes. Work sampling is a technique that can be used to explore the many facets of nursing work. Standardized reporting measures would enable greater comparison between studies and contribute to knowledge more effectively. Author suggestions for the reporting of results may act as guidelines for researchers considering work sampling as a research method. © 2014 John Wiley & Sons Ltd.
Baethge, Anja; Müller, Andreas; Rigotti, Thomas
2016-03-01
The aim of this study was to investigate whether selective optimization with compensation constitutes an individualized action strategy for nurses wanting to maintain job performance under high workload. High workload is a major threat to healthcare quality and performance. Selective optimization with compensation is considered to enhance the efficient use of intra-individual resources and, therefore, is expected to act as a buffer against the negative effects of high workload. The study applied a diary design. Over five consecutive workday shifts, self-report data on workload was collected at three randomized occasions during each shift. Self-reported job performance was assessed in the evening. Self-reported selective optimization with compensation was assessed prior to the diary reporting. Data were collected in 2010. Overall, 136 nurses from 10 German hospitals participated. Selective optimization with compensation was assessed with a nine-item scale that was specifically developed for nursing. The NASA-TLX scale indicating the pace of task accomplishment was used to measure workload. Job performance was assessed with one item each concerning performance quality and forgetting of intentions. There was a weaker negative association between workload and both indicators of job performance in nurses with a high level of selective optimization with compensation, compared with nurses with a low level. Considering the separate strategies, selection and compensation turned out to be effective. The use of selective optimization with compensation is conducive to nurses' job performance under high workload levels. This finding is in line with calls to empower nurses' individual decision-making. © 2015 John Wiley & Sons Ltd.
Workload: Measurement and Management
NASA Technical Reports Server (NTRS)
Gore, Brian Francis; Casner, Stephen
2010-01-01
Poster: The workload research project has as its task to survey the available literature on: (1) workload measurement techniques; and (2) the effects of workload on operator performance. The first set of findings provides practitioners with a collection of simple-to-use workload measurement techniques along with characterizations of the kinds of tasks each technique has been shown reliably address. This allows design practitioners to select and use the most appropriate techniques for the task(s) at hand. The second set of findings provides practitioners with the guidance they need to design for appropriate kinds and amounts of workload across all tasks for which the operator is responsible. This guidance helps practitioners design systems and procedures that ensure appropriate levels of engagement across all tasks, and avoid designs and procedures that result in operator boredom, complacency, loss of awareness, undue levels of stress, or skill atrophy that can result from workload that distracts operators from the tasks they perform and monitor, workload levels that are too low, too high, or too consistent or predictable. Only those articles that were peer reviewed, long standing and generally accepted in the field, and applicable to a relevant range of conditions in a select domain of interest, in analogous "extreme" environments to those in space were included. In addition, all articles were reviewed and evaluated on uni-dimensional and multi-dimensional considerations. Casner & Gore also examined the notion of thresholds and the conditions that may benefit mostly from the various methodological approaches. Other considerations included whether the tools would be suitable for guiding a requirement-related and design-related question. An initial review of over 225 articles was conducted and entered into an EndNote database. The reference list included a range of conditions in the domain of interest (subjective/objective measures), the seminal works in workload, as well as summary works
Weigl, Matthias; Antoniadis, Sophia; Chiapponi, Costanza; Bruns, Christiane; Sevdalis, Nick
2015-01-01
Surgeons' intra-operative workload is critical for effective and safe surgical performance. Detrimental conditions in the operating room (OR) environment may add to perceived workload and jeopardize surgical performance and outcomes. This study aims to evaluate the impact of different intra-operative workflow interruptions on surgeons' capacity to manage their workload safely and efficiently. This was an observational study of intra-operative interruptions and self-rated workload in two surgical specialties (general, orthopedic/trauma surgery). Intra-operative interruptions were assessed via expert observation using a well-validated observation tool. Surgeons, nurses, and anesthesiologists assessed their intra-operative workload directly after case completion based on three items of the validated Surgery Task Load Index (mental demand, situational stress, distraction). A total of 56 elective cases (35 open, 21 laparoscopic) with 94 workload ratings were included. Mean intra-operative duration was 1 h 37 min. Intra-operative interruptions were on average observed 9.78 times per hour. People who entered/exited the OR (30.6 %) as well as telephone-/beeper-related disruptions (23.6 %) occurred most often. Equipment and OR environment-related interruptions were associated with highest interference with team functioning particularly in laparoscopic procedures. After identifying task and procedural influences, partial correlational analyses revealed that case-irrelevant communications were negatively associated with surgeons' mental fatigue and situational stress, whereas surgeons' reported distraction was increased by case-irrelevant communication and procedural disruptions. OR nurses' and anesthesiologists' perceived workload was also related to intra-operative interruption events. Our study documents the unique contribution of different interruptions on surgeons' workload; whereas case-irrelevant communications may be beneficial for mental fatigue and stress in routine cases, procedural interruptions and case-irrelevant communication may contribute to surgeons' mental focus deteriorating. Well-designed OR environments, surgical leadership, and awareness can help to control unnecessary interruptions for effective and safe surgical care.
Burnout during residency training: a literature review.
Ishak, Waguih William; Lederer, Sara; Mandili, Carla; Nikravesh, Rose; Seligman, Laurie; Vasa, Monisha; Ogunyemi, Dotun; Bernstein, Carol A
2009-12-01
Burnout is a state of mental and physical exhaustion related to work or care giving activities. Burnout during residency training has gained significant attention secondary to concerns regarding job performance and patient care. This article reviews the relevant literature on burnout in order to provide information to educators about its prevalence, features, impact, and potential interventions. Studies were identified through a Medline and PsychInfo search from 1974 to 2009. Fifty-one studies were identified. Definition and description of burnout and measurement methods are presented followed by a thorough review of the studies. An examination of the burnout literature reveals that it is prevalent in medical students (28%-45%), residents (27%-75%, depending on specialty), as well as practicing physicians. Psychological distress and physical symptoms can impact work performance and patient safety. Distress during medical school can lead to burnout, which in turn can result in negative consequences as a working physician. Burnout also poses significant challenges during early training years in residency. Time demands, lack of control, work planning, work organization, inherently difficult job situations, and interpersonal relationships, are considered factors contributing to residents' burnout. Potential interventions include workplace-driven and individual-driven measures. Workplace interventions include education about burnout, workload modifications, increasing the diversity of work duties, stress management training, mentoring, emotional intelligence training, and wellness workshops. Individual-driven behavioral, social, and physical activities include promoting interpersonal professional relations, meditation, counseling, and exercise. Educators need to develop an active awareness of burnout and ought to consider incorporating relevant instruction and interventions during the process of training resident physicians.
1980-08-01
individual services. Furthermore, while historical workload statistics for the facility as a whole are available, individual services’ workload...the linear production function statistically fitted to workload data associated with these areas in order to determine the numbers of different...scheduled replacement hospital, this study was conducted to reveal that regardless of increased facility efficiency design, current manpower
Chen, Yuqian; Ke, Yufeng; Meng, Guifang; Jiang, Jin; Qi, Hongzhi; Jiao, Xuejun; Xu, Minpeng; Zhou, Peng; He, Feng; Ming, Dong
2017-12-01
As one of the most important brain-computer interface (BCI) paradigms, P300-Speller was shown to be significantly impaired once applied in practical situations due to effects of mental workload. This study aims to provide a new method of building training models to enhance performance of P300-Speller under mental workload. Three experiment conditions based on row-column P300-Speller paradigm were performed including speller-only, 3-back-speller and mental-arithmetic-speller. Data under dual-task conditions were introduced to speller-only data respectively to build new training models. Then performance of classifiers with different models was compared under the same testing condition. The results showed that when tasks of imported training data and testing data were the same, character recognition accuracies and round accuracies of P300-Speller with mixed-data training models significantly improved (FDR, p < 0.005). When they were different, performance significantly improved when tested on mental-arithmetic-speller (FDR, p < 0.05) while the improvement was modest when tested on n-back-speller (FDR, p < 0.1). The analysis of ERPs revealed that ERP difference between training data and testing data was significantly diminished when the dual-task data was introduced to training data (FDR, p < 0.05). The new method of training classifier on mixed data proved to be effective in enhancing performance of P300-Speller under mental workload, confirmed the feasibility to build a universal training model and overcome the effects of mental workload in its practical applications. Copyright © 2017 Elsevier B.V. All rights reserved.
Multiplexing Low and High QoS Workloads in Virtual Environments
NASA Astrophysics Data System (ADS)
Verboven, Sam; Vanmechelen, Kurt; Broeckhove, Jan
Virtualization technology has introduced new ways for managing IT infrastructure. The flexible deployment of applications through self-contained virtual machine images has removed the barriers for multiplexing, suspending and migrating applications with their entire execution environment, allowing for a more efficient use of the infrastructure. These developments have given rise to an important challenge regarding the optimal scheduling of virtual machine workloads. In this paper, we specifically address the VM scheduling problem in which workloads that require guaranteed levels of CPU performance are mixed with workloads that do not require such guarantees. We introduce a framework to analyze this scheduling problem and evaluate to what extent such mixed service delivery is beneficial for a provider of virtualized IT infrastructure. Traditionally providers offer IT resources under a guaranteed and fixed performance profile, which can lead to underutilization. The findings of our simulation study show that through proper tuning of a limited set of parameters, the proposed scheduling algorithm allows for a significant increase in utilization without sacrificing on performance dependability.
Chang, Esther M; Daly, John; Hancock, Karen M; Bidewell, John W; Johnson, Amanda; Lambert, Vickie A; Lambert, Clinton E
2006-01-01
Nursing is known to be stressful. Stress detrimentally can influence job satisfaction, psychological well-being, and physical health. There is a need for increased understanding of the stress that nurses experience and how best to manage it. Three hundred twenty Australian acute care public hospital nurses participated in a study by completing four questionnaires that examined (a) how various workplace stressors relate to ways of coping, demographic characteristics, and physical and mental health and (b) which workplace stressors, coping mechanisms, and demographic characteristics were the best predictors of physical and mental health. Significant correlations were found between stressors and physical and mental health. Multiple regression showed age to be the only significant predictor of physical health. The best coping predictors of mental health were escape-avoidance, distancing, and self-control. Other significant predictors of mental health were support in the workplace, the number of years worked in the unit, and workload. Mental health scores were higher for nurses working more years in the unit and for those who used distancing as a way of coping. Mental health scores were lower for nurses who used escape-avoidance, lacked workplace support, had high workload, and used self-control coping. The findings have implications for organizational management, particularly in terms of recommendations for stress management, social support, and workload reduction.
Helfrich, Christian D; Simonetti, Joseph A; Clinton, Walter L; Wood, Gordon B; Taylor, Leslie; Schectman, Gordon; Stark, Richard; Rubenstein, Lisa V; Fihn, Stephan D; Nelson, Karin M
2017-07-01
Work-related burnout is common in primary care and is associated with worse patient safety, patient satisfaction, and employee mental health. Workload, staffing stability, and team completeness may be drivers of burnout. However, few studies have assessed these associations at the team level, and fewer still include members of the team beyond physicians. To study the associations of burnout among primary care providers (PCPs), nurse care managers, clinical associates (MAs, LPNs), and administrative clerks with the staffing and workload on their teams. We conducted an individual-level cross-sectional analysis of survey and administrative data in 2014. Primary care personnel at VA clinics responding to a national survey. Burnout was measured with a validated single-item survey measure dichotomized to indicate the presence of burnout. The independent variables were survey measures of team staffing (having a fully staffed team, serving on multiple teams, and turnover on the team), and workload both from survey items (working extended hours), and administrative data (patient panel overcapacity and average panel comorbidity). There were 4610 respondents (estimated response rate of 20.9%). The overall prevalence of burnout was 41%. In adjusted analyses, the strongest associations with burnout were having a fully staffed team (odds ratio [OR] = 0.55, 95% CI 0.47-0.65), having turnover on the team (OR = 1.67, 95% CI 1.43-1.94), and having patient panel overcapacity (OR = 1.19, 95% CI 1.01-1.40). The observed burnout prevalence was 30.1% lower (28.5% vs. 58.6%) for respondents working on fully staffed teams with no turnover and caring for a panel within capacity, relative to respondents in the inverse condition. Complete team staffing, turnover among team members, and panel overcapacity had strong, cumulative associations with burnout. Further research is needed to understand whether improvements in these factors would lower burnout.
Leveraging Metadata to Create Better Web Services
ERIC Educational Resources Information Center
Mitchell, Erik
2012-01-01
Libraries have been increasingly concerned with data creation, management, and publication. This increase is partly driven by shifting metadata standards in libraries and partly by the growth of data and metadata repositories being managed by libraries. In order to manage these data sets, libraries are looking for new preservation and discovery…
Training and subjective workload in a category search task
NASA Technical Reports Server (NTRS)
Vidulich, Michael A.; Pandit, Parimal
1986-01-01
This study examined automaticity as a means by which training influences mental workload. Two groups were trained in a category search task. One group received a training paradigm designed to promote the development of automaticity; the other group received a training paradigm designed to prohibit it. Resultant performance data showed the expected improvement as a result of the development of automaticity. Subjective workload assessments mirrored the performance results in most respects. The results supported the position that subjective mental workload assessments may be sensitive to the effect of training when it produces a lower level of cognitive load.
Domestic chores workload and depressive symptoms among children affected by HIV/AIDS in China
Yu, Yun; Li, Xiaoming; Zhang, Liying; Zhao, Junfeng; Zhao, Guoxiang; Zheng, Yu; Stanton, Bonita
2012-01-01
Limited data are available regarding the effects of domestic chores workload on psychological problems among children affected by HIV/AIDS in China. The current study aims to examine association between children’s depressive symptoms and the domestic chores workload (i.e., the frequency and the amount of time doing domestic chores). Data were derived from the baseline survey of a longitudinal study which investigated the impact of parental HIV/AIDS on psychological problems of children. A total of 1,449 children in family-based care were included in the analysis: 579 orphaned children who lost one or both parents due to AIDS, 466 vulnerable children living with one or both parents being infected with HIV, and 404 comparison children who did not have HIV/AIDS infected family members in their families. Results showed differences on domestic chores workload between children affected by HIV/AIDS (orphans and vulnerable children) and the comparison children. Children affected by HIV/AIDS worked more frequently and worked longer time on domestic chores than the comparison children. Multivariate linear regression analysis showed that domestic chores workload was positively associated with depressive symptoms. The data suggest that children affected by HIV/AIDS may face increasing burden of domestic chores and it is necessary to reduce the excessive workload of domestic chores among children affected by HIV/AIDS through increasing community-based social support for children in the families affected by HIV/AIDS. PMID:22970996
Harith, Arun Kumar; Avs, Anil Kumar; Sampath, Sangeetha
2017-02-01
Laboratory investigations account for significant percentage of healthcare expenses. Every hospital and laboratory especially in the government sector wants to cut down the expenses on reports and offer inferior printouts of reports. The debate of printing attractive reports (clientele aspiration) Vs costs cutting (managerial issues) continues. It becomes the moral responsibility of doctors to guide the management into implementing an effective and economical option of report transcription. Cutting cost is always good but it should be achieved in an effective way keeping in mind the expectation of all the stake holders and ensuring that quality is not significantly compromised. The data regarding economics of printing available on the Internet may be market driven and not a true reflection of printing cost. The present study was undertaken to generate data on the economics of printing reports on various platforms to enable managers to make informed decision on choice of optimal printing option. To provide practical data on economics of printing reports using various printing options available in the country. Four printing devices (laser printer, inkjet printer, dotmatrix printer and thermal printer) were connected to the laboratory information system and the reports printed from them were critically evaluated for the following parameters - cost of stationary, printing cost, time of printing and clientele satisfaction. The cost of printing a single report on laser printer, inkjet printer, dotmatrix printer and thermal printers was Rs 0.75, Rs 0.65, Rs 0.20 and Rs 0.93 respectively. The time taken to print 30 reports were 162 sec, 193 sec, 210 and 60 sec respectively. Clientele satisfaction scores were best with Laser and Inkjet printed reports. The most economical mode of printing is Dot Matrix printer using DOS output for printing. However, when the workload of a laboratory is high, then the use of laser printer is not prohibitively expensive option and can be resorted to. Use of thermal printer was found to be unsatisfactory.
Cognitive context detection using pupillary measurements
NASA Astrophysics Data System (ADS)
Mannaru, Pujitha; Balasingam, Balakumar; Pattipati, Krishna; Sibley, Ciara; Coyne, Joseph
2016-05-01
In this paper, we demonstrate the use of pupillary measurements as indices of cognitive workload. We analyze the pupillary data of twenty individuals engaged in a simulated Unmanned Aerial System (UAS) operation in order to understand and characterize the behavior of pupil dilation under varying task load (i.e., workload) levels. We present three metrics that can be employed as real-time indices of cognitive workload. In addition, we develop a predictive system utilizing the pupillary metrics to demonstrate cognitive context detection within simulated supervisory control of UAS. Further, we use pupillary data collected concurrently from the left and right eye and present comparative results of the use of separate vs. combined pupillary data for detecting cognitive context.
Indicators of ecosystem function identify alternate states in the sagebrush steppe.
Kachergis, Emily; Rocca, Monique E; Fernandez-Gimenez, Maria E
2011-10-01
Models of ecosystem change that incorporate nonlinear dynamics and thresholds, such as state-and-transition models (STMs), are increasingly popular tools for land management decision-making. However, few models are based on systematic collection and documentation of ecological data, and of these, most rely solely on structural indicators (species composition) to identify states and transitions. As STMs are adopted as an assessment framework throughout the United States, finding effective and efficient ways to create data-driven models that integrate ecosystem function and structure is vital. This study aims to (1) evaluate the utility of functional indicators (indicators of rangeland health, IRH) as proxies for more difficult ecosystem function measurements and (2) create a data-driven STM for the sagebrush steppe of Colorado, USA, that incorporates both ecosystem structure and function. We sampled soils, plant communities, and IRH at 41 plots with similar clayey soils but different site histories to identify potential states and infer the effects of management practices and disturbances on transitions. We found that many IRH were correlated with quantitative measures of functional indicators, suggesting that the IRH can be used to approximate ecosystem function. In addition to a reference state that functions as expected for this soil type, we identified four biotically and functionally distinct potential states, consistent with the theoretical concept of alternate states. Three potential states were related to management practices (chemical and mechanical shrub treatments and seeding history) while one was related only to ecosystem processes (erosion). IRH and potential states were also related to environmental variation (slope, soil texture), suggesting that there are environmental factors within areas with similar soils that affect ecosystem dynamics and should be noted within STMs. Our approach generated an objective, data-driven model of ecosystem dynamics for rangeland management. Our findings suggest that the IRH approximate ecosystem processes and can distinguish between alternate states and communities and identify transitions when building data-driven STMs. Functional indicators are a simple, efficient way to create data-driven models that are consistent with alternate state theory. Managers can use them to improve current model-building methods and thus apply state-and-transition models more broadly for land management decision-making.
Wachter, S. Blake; Johnson, Ken; Albert, Robert; Syroid, Noah; Drews, Frank; Westenskow, Dwayne
2006-01-01
Objective Authors developed a picture-graphics display for pulmonary function to present typical respiratory data used in perioperative and intensive care environments. The display utilizes color, shape and emergent alerting to highlight abnormal pulmonary physiology. The display serves as an adjunct to traditional operating room displays and monitors. Design To evaluate the prototype, nineteen clinician volunteers each managed four adverse respiratory events and one normal event using a high-resolution patient simulator which included the new displays (intervention subjects) and traditional displays (control subjects). Between-group comparisons included (i) time to diagnosis and treatment for each adverse respiratory event; (ii) the number of unnecessary treatments during the normal scenario; and (iii) self-reported workload estimates while managing study events. Measurements Two expert anesthesiologists reviewed video-taped transcriptions of the volunteers to determine time to treat and time to diagnosis. Time values were then compared between groups using a Mann-Whitney-U Test. Estimated workload for both groups was assessed using the NASA-TLX and compared between groups using an ANOVA. P-values < 0.05 were considered significant. Results Clinician volunteers detected and treated obstructed endotracheal tubes and intrinsic PEEP problems faster with graphical rather than conventional displays (p < 0.05). During the normal scenario simulation, 3 clinicians using the graphical display, and 5 clinicians using the conventional display gave unnecessary treatments. Clinician-volunteers reported significantly lower subjective workloads using the graphical display for the obstructed endotracheal tube scenario (p < 0.001) and the intrinsic PEEP scenario (p < 0.03). Conclusion Authors conclude that the graphical pulmonary display may serve as a useful adjunct to traditional displays in identifying adverse respiratory events. PMID:16929038
Scaling deep learning workloads: NVIDIA DGX-1/Pascal and Intel Knights Landing
DOE Office of Scientific and Technical Information (OSTI.GOV)
Gawande, Nitin A.; Landwehr, Joshua B.; Daily, Jeffrey A.
Deep Learning (DL) algorithms have become ubiquitous in data analytics. As a result, major computing vendors --- including NVIDIA, Intel, AMD, and IBM --- have architectural road-maps influenced by DL workloads. Furthermore, several vendors have recently advertised new computing products as accelerating large DL workloads. Unfortunately, it is difficult for data scientists to quantify the potential of these different products. This paper provides a performance and power analysis of important DL workloads on two major parallel architectures: NVIDIA DGX-1 (eight Pascal P100 GPUs interconnected with NVLink) and Intel Knights Landing (KNL) CPUs interconnected with Intel Omni-Path or Cray Aries. Ourmore » evaluation consists of a cross section of convolutional neural net workloads: CifarNet, AlexNet, GoogLeNet, and ResNet50 topologies using the Cifar10 and ImageNet datasets. The workloads are vendor-optimized for each architecture. Our analysis indicates that although GPUs provide the highest overall performance, the gap can close for some convolutional networks; and the KNL can be competitive in performance/watt. We find that NVLink facilitates scaling efficiency on GPUs. However, its importance is heavily dependent on neural network architecture. Furthermore, for weak-scaling --- sometimes encouraged by restricted GPU memory --- NVLink is less important.« less
Outcomes of a pharmacist-managed glucose collaborative practice agreement.
Pugazhenthi, Vidya; Dick, Travis B; Call, Matthew
2016-12-01
The impact of a pharmacist-managed glucose collaborative practice agreement (CPA) on glycemic control at a tertiary medical center was investigated. A retrospective data analysis was performed on hospitalized, noncritically ill patients admitted between December 2012 and June 2014 who received at least one dose of subcutaneous insulin and experienced at least one blood glucose concentration of 140 mg/dL or higher. The study population was divided into cohorts based on admittance before versus after implementation of the CPA, as well as glucose management by pharmacist versus nonpharmacist provider. The primary endpoint of the study was glycemic control, defined as the percentage of total admitted days spent within a goal blood glucose range of 70-180 mg/dL. Secondary endpoints included the rate of hypoglycemia (less than 70 mg/dL), the rate of severe hypoglycemia (less than 40 mg/dL), the rate of severe hyperglycemia (greater than 300 mg/dL), the length of stay, and workload metrics. A total of 5146 patients were included in the study. There was no statistically significant difference in glycemic control across all cohorts (p > 0.05). Secondary outcomes showed no statistically significant differences in the rates of hypoglycemia, severe hypoglycemia, and severe hyperglycemia across all cohorts. There was a significantly longer length of stay in the pharmacist-managed cohort (p < 0.001). Workload metrics indicated a 25.8% increase in the number of pharmacist-managed glucose consults post-CPA implementation. Pharmacists at a tertiary medical center were able to provide an inpatient glucose management service that maintained similar glycemic control for patients with diabetes as nonpharmacist providers. Copyright © 2016 by the American Society of Health-System Pharmacists, Inc. All rights reserved.
2008-06-01
NASAS TLX (Hart & Staveland, 1987) was used to evaluate perceived task demands. In the modified version, participants were asked to estimate the...subjective workload (i.e., NASA - TLX ) was assessed for each trial. Unweighted NASA - TLX ratings were submitted to a 5 (Subscale) × 2 (Communication...Communication Condition M ea n TL X R at in g Figure 3. Mean unweighted NASA - TLX ratings as a function of communication modality. Error bars represent one
2014-12-01
research, several boundaries have been imposed to focus this thesis. 1. Scope This thesis is not a wholesale analysis of workload studies in...focus of this thesis. 2. Limitations Multiple factors, including mental and physical fatigue, influence crew endurance. More sleep of higher...support crew endurance are physical fitness, diet and nutrition, use of technology to reduce workload, reasonable living conditions, adequate manning
Job Management and Task Bundling
NASA Astrophysics Data System (ADS)
Berkowitz, Evan; Jansen, Gustav R.; McElvain, Kenneth; Walker-Loud, André
2018-03-01
High Performance Computing is often performed on scarce and shared computing resources. To ensure computers are used to their full capacity, administrators often incentivize large workloads that are not possible on smaller systems. Measurements in Lattice QCD frequently do not scale to machine-size workloads. By bundling tasks together we can create large jobs suitable for gigantic partitions. We discuss METAQ and mpi_jm, software developed to dynamically group computational tasks together, that can intelligently backfill to consume idle time without substantial changes to users' current workflows or executables.
NASA Technical Reports Server (NTRS)
Hemingway, J. C.
1984-01-01
The objective was to determine whether the Sternberg item-recognition task, employed as a secondary task measure of spare mental capacity for flight handling qualities (FHQ) simulation research, could help to differentiate between different flight-control conditions. FHQ evaluations were conducted on the Vertical Motion Simulator at Ames Research Center to investigate different primary flight-control configurations, and selected stability and control augmentation levels for helicopters engaged in low-level flight regimes. The Sternberg task was superimposed upon the primary flight-control task in a balanced experimental design. The results of parametric statistical analysis of Sternberg secondary task data failed to support the continued use of this task as a measure of pilot workload. In addition to the secondary task, subjects provided Cooper-Harper pilot ratings (CHPR) and responded to workload questionnaire. The CHPR data also failed to provide reliable statistical discrimination between FHQ treatment conditions; some insight into the behavior of the secondary task was gained from the workload questionnaire data.
The Sternberg Task as a Workload Metric in Flight Handling Qualities Research
NASA Technical Reports Server (NTRS)
Hemingway, J. C.
1984-01-01
The objective of this research was to determine whether the Sternberg item-recognition task, employed as a secondary task measure of spare mental capacity for flight handling qualities (FHQ) simulation research, could help to differentiate between different flight-control conditions. FHQ evaluations were conducted on the Vertical Motion Simulator at Ames Research Center to investigate different primary flight-control configurations, and selected stability and control augmentation levels for helicopers engaged in low-level flight regimes. The Sternberg task was superimposed upon the primary flight-control task in a balanced experimental design. The results of parametric statistical analysis of Sternberg secondary task data failed to support the continued use of this task as a measure of pilot workload. In addition to the secondary task, subjects provided Cooper-Harper pilot ratings (CHPR) and responded to a workload questionnaire. The CHPR data also failed to provide reliable statistical discrimination between FHQ treatment conditions; some insight into the behavior of the secondary task was gained from the workload questionnaire data.
Enabling Diverse Software Stacks on Supercomputers using High Performance Virtual Clusters.
DOE Office of Scientific and Technical Information (OSTI.GOV)
Younge, Andrew J.; Pedretti, Kevin; Grant, Ryan
While large-scale simulations have been the hallmark of the High Performance Computing (HPC) community for decades, Large Scale Data Analytics (LSDA) workloads are gaining attention within the scientific community not only as a processing component to large HPC simulations, but also as standalone scientific tools for knowledge discovery. With the path towards Exascale, new HPC runtime systems are also emerging in a way that differs from classical distributed com- puting models. However, system software for such capabilities on the latest extreme-scale DOE supercomputing needs to be enhanced to more appropriately support these types of emerging soft- ware ecosystems. In thismore » paper, we propose the use of Virtual Clusters on advanced supercomputing resources to enable systems to support not only HPC workloads, but also emerging big data stacks. Specifi- cally, we have deployed the KVM hypervisor within Cray's Compute Node Linux on a XC-series supercomputer testbed. We also use libvirt and QEMU to manage and provision VMs directly on compute nodes, leveraging Ethernet-over-Aries network emulation. To our knowledge, this is the first known use of KVM on a true MPP supercomputer. We investigate the overhead our solution using HPC benchmarks, both evaluating single-node performance as well as weak scaling of a 32-node virtual cluster. Overall, we find single node performance of our solution using KVM on a Cray is very efficient with near-native performance. However overhead increases by up to 20% as virtual cluster size increases, due to limitations of the Ethernet-over-Aries bridged network. Furthermore, we deploy Apache Spark with large data analysis workloads in a Virtual Cluster, ef- fectively demonstrating how diverse software ecosystems can be supported by High Performance Virtual Clusters.« less
NASA Technical Reports Server (NTRS)
Comstock, James R., Jr.; Baxley, Brian T.; Norman, Robert M.; Ellis, Kyle K. E.; Adams, Cathy A.; Latorella, Kara A.; Lynn, William A.
2010-01-01
This paper, to accompany a discussion panel, describes a collaborative FAA and NASA research study to determine the effect Data Communications (Data Comm) messages have on flight crew workload and eye scanning behavior in busy terminal area operations. In the Next Generation Air Transportation System Concept of Operations, for the period 2017-2022, the FAA envisions Data Comm between controllers and the flight crew to become the primary means of communicating non-time critical information. Four research conditions were defined that span current day to future equipage levels (Voice with Paper map, Data Comm with Paper map, Data Comm with Moving Map Display with ownship position displayed, Data Comm with Moving Map, ownship and taxi route displayed), and were used to create arrival and departure scenarios at Boston Logan Airport. Preliminary results for workload, situation awareness, and pilot head-up time are presented here. Questionnaire data indicated that pilot acceptability, workload, and situation awareness ratings were favorable for all of the conditions tested. Pilots did indicate that there were times during final approach and landing when they would prefer not to hear the message chime, and would not be able to make a quick response due to high priority tasks in the cockpit.
Speed management program plan.
DOT National Transportation Integrated Search
2014-05-01
Changing public attitudes regarding speeding and speed management will require a comprehensive and concerted effort, involving a wide variety of strategies. This plan identifies six primary focus areas: : A. Data and Data-Driven Approaches, : B. Rese...
NASA Technical Reports Server (NTRS)
Burke, Kelly A.; Wing, David J.; Lewis, Timothy
2013-01-01
Two human-in-the-loop simulation experiments were conducted to investigate allocation of separation assurance functions between ground and air and between humans and automation. The experiments modeled a mixed-operations concept in which aircraft receiving ground-based separation services shared the airspace with aircraft providing their own separation service (i.e., self-separation). The two experiments, one pilot-focused and the other controller-focused, addressed selected key issues of mixed operations and modeling an emergence of NextGen technologies and procedures. This paper focuses on the results of the subjective assessments of pilots collected during the pilot-focused human-in-the-loop simulation, specifically workload and situation awareness. Generally the results revealed that across all conditions, pilots' perceived workload was low to medium, with the highest reported levels of workload occurring when the pilots experienced a loss of separation during the scenario. Furthermore, the results from the workload data and situation awareness data were complimentary such that when pilots reported lower levels of workload they also experienced higher levels of situation awareness.
Quantitative EEG patterns of differential in-flight workload
NASA Technical Reports Server (NTRS)
Sterman, M. B.; Mann, C. A.; Kaiser, D. A.
1993-01-01
Four test pilots were instrumented for in-flight EEG recordings using a custom portable recording system. Each flew six, two minute tracking tasks in the Calspan NT-33 experimental trainer at Edwards AFB. With the canopy blacked out, pilots used a HUD display to chase a simulated aircraft through a random flight course. Three configurations of flight controls altered the flight characteristics to achieve low, moderate, and high workload, as determined by normative Cooper-Harper ratings. The test protocol was administered by a command pilot in the back seat. Corresponding EEG and tracking data were compared off-line. Tracking performance was measured as deviation from the target aircraft and combined with control difficulty to achieve an estimate of 'cognitive workload'. Trended patterns of parietal EEG activity at 8-12 Hz were sorted according to this classification. In all cases, high workload produced a significantly greater suppression of 8-12 Hz activity than low workload. Further, a clear differentiation of EEG trend patterns was obtained in 80 percent of the cases. High workload produced a sustained suppression of 8-12 Hz activity, while moderate workload resulted in an initial suppression followed by a gradual increment. Low workload was associated with a modulated pattern lacking any periods of marked or sustained suppression. These findings suggest that quantitative analysis of appropriate EEG measures may provide an objective and reliable in-flight index of cognitive effort that could facilitate workload assessment.
ERIC Educational Resources Information Center
Gold, Stephanie
2005-01-01
The concept of data-driven professional development is both straight-forward and sensible. Implementing this approach is another story, which is why many administrators are turning to sophisticated tools to help manage data collection and analysis. These tools allow educators to assess and correlate student outcomes, instructional methods, and…
ERIC Educational Resources Information Center
Swan, Gerry; Mazur, Joan
2011-01-01
Although the term data-driven decision making (DDDM) is relatively new (Moss, 2007), the underlying concept of DDDM is not. For example, the practices of formative assessment and computer-managed instruction have historically involved the use of student performance data to guide what happens next in the instructional sequence (Morrison, Kemp, &…
Chittawatanarat, K; Tosanguan, K; Chaikledkaew, U; Tejavanija, S; Teerawattananon, Y
2016-08-01
The objective of this study was to identify the differences in pattern, process, and management of nutrition care in government hospitals in Thailand (an Asian upper-middle income developing country). This is a combination of a quantitative nationwide questionnaire survey and focus group discussions. A total of 2300 questionnaires were sent to government hospitals across Thailand. The responders were divided by routine-nutrition screening/assessment unit vs. non-routine-nutrition screening/assessment unit (RSA vs. NRSA). The comparison between the groups was reported as percentage and cross-sectional odds ratio (CS-OR) with 95% confidence interval (CI). The significant difference was defined as p < 0.05. A total of 814 questionnaires (35.4%) were returned. The three most common tools of RSA were 42% Bhumibol Nutrition Triage (BNT), 21.2% Subjective Global Assessment (SGA) and 20.2% Nutrition Alert Form (NAF). The RSA was significantly higher in proportion for the role of the nurses (RSA vs. NRSA; CS-OR [95% CI]: 68.3% vs. 11.9%; 15.8 [11.1 to 22.7]; p < 0.01), the multidisciplinary team (90.1% vs. 0.4%; 2266 [558 to 1909]; p < 0.01), the nutrition management guidelines (60.6% vs. 2.8%; 53.6 [29.6 to 102.8]; p < 0.01), the nurse-driven enteral feeding protocols (31.7% vs. 17.5%; 2.2 [1.5 to 3.1]; p < 0.01) and preference for hospital formula enteral nutrition (91.4% vs.69.7%; 4.6 [2.9 to 7.4]; p < 0.01). For focus group discussions, the main barrier of RSA implementation was that there was no national recommendation of a screening/assessment tool, inconsistency of policy and reimbursement, and professional and acceptable workload. Nutrition screening/assessment tools were found to be varied in Thailand. RSA affected the nutrition management working process and the types of nutrition support. The main barriers of RSA implementation were inconsistency of policy and reimbursement, acceptable workload, and national guidance as regards - screening/assessment tools. Copyright © 2016 European Society for Clinical Nutrition and Metabolism. Published by Elsevier Ltd. All rights reserved.
Fang, Michele; Linson, Eric; Suneja, Manish; Kuperman, Ethan F
2017-02-22
Excellence in Graduate Medical Education requires the right clinical environment with an appropriate workload where residents have enough patients to gain proficiency in medicine with optimal time for reflection. The Accreditation Council for Graduate Medical Education (ACGME) has focused more on work hours rather than workload; however, high resident workload has been associated with lower resident participation in education and fatigue-related errors. Recognizing the potential risks associated with high resident workload and being mindful of the costs of reducing resident workload, we sought to reduce residents' workload by adding an advanced practice provider (APP) to the surgical comanagement service (SCM) and study its effect on resident satisfaction and perceived educational value of the rotation. In Fiscal Year (FY) 2014 and 2015, an additional faculty member was added to the SCM rotation. In FY 2014, the faculty member was a staff physician, and in FY 2015, the faculty member was an APP.. Resident workload was assessed using billing data. We measured residents' perceptions of the rotation using an anonymous electronic survey tool. We compared FY2014-2015 data to the baseline FY2013. The number of patients seen per resident per day decreased from 8.0(SD 3.3) in FY2013 to 5.0(SD 1.9) in FY2014 (p < 0.001) and 5.7(SD 2.0) in FY2015 (p < 0.001). A higher proportion of residents reported "just right" patient volume (64.4%, 91.7%, 96.7% in FY2013, 2014, 2015 respectively p < 0.001), meeting curricular goals (79.9%, 95.0%, 97.2%, in FY2013, 2014 and 2015 respectively p < 0.001), and overall educational value of the rotation (40.0%, 72.2%, 72.6% in FY2013, 2014, 2015 respectively, p < 0.001). Decreasing resident workload through adding clinical faculty (both staff physician and APPs) was associated with improvements on resident perceived educational value and clinical experience of a medical consultation rotation.
Evolution of the ATLAS distributed computing system during the LHC long shutdown
NASA Astrophysics Data System (ADS)
Campana, S.; Atlas Collaboration
2014-06-01
The ATLAS Distributed Computing project (ADC) was established in 2007 to develop and operate a framework, following the ATLAS computing model, to enable data storage, processing and bookkeeping on top of the Worldwide LHC Computing Grid (WLCG) distributed infrastructure. ADC development has always been driven by operations and this contributed to its success. The system has fulfilled the demanding requirements of ATLAS, daily consolidating worldwide up to 1 PB of data and running more than 1.5 million payloads distributed globally, supporting almost one thousand concurrent distributed analysis users. Comprehensive automation and monitoring minimized the operational manpower required. The flexibility of the system to adjust to operational needs has been important to the success of the ATLAS physics program. The LHC shutdown in 2013-2015 affords an opportunity to improve the system in light of operational experience and scale it to cope with the demanding requirements of 2015 and beyond, most notably a much higher trigger rate and event pileup. We will describe the evolution of the ADC software foreseen during this period. This includes consolidating the existing Production and Distributed Analysis framework (PanDA) and ATLAS Grid Information System (AGIS), together with the development and commissioning of next generation systems for distributed data management (DDM/Rucio) and production (Prodsys-2). We will explain how new technologies such as Cloud Computing and NoSQL databases, which ATLAS investigated as R&D projects in past years, will be integrated in production. Finally, we will describe more fundamental developments such as breaking job-to-data locality by exploiting storage federations and caches, and event level (rather than file or dataset level) workload engines.
TASKILLAN II - Pilot strategies for workload management
NASA Technical Reports Server (NTRS)
Segal, Leon D.; Wickens, Christopher D.
1990-01-01
This study focused on the strategies used by pilots in managing their workload level, and their subsequent task performance. Sixteen licensed pilots flew 42 missions on a helicopter simulation, and were evaluated on their performance of the overall mission, as well as individual tasks. Pilots were divided in four groups, defined by the presence or absence of scheduling control over tasks and the availability of intelligence concerning the type and stage of difficulties imposed during the flight. Results suggest that intelligence supported strategies that yielded significant higher performance levels, while scheduling control seemed to have no impact on performance. Both difficulty type and the stage of difficulty impacted performance significantly, with strongest effects for time stresss and difficulties imposed late in the flight.
Gurses, Ayse P; Carayon, Pascale; Wall, Melanie
2009-01-01
Objectives To study the impact of performance obstacles on intensive care nurses‘ workload, quality and safety of care, and quality of working life (QWL). Performance obstacles are factors that hinder nurses‘ capacity to perform their job and that are closely associated with their immediate work system. Data Sources/Study Setting Data were collected from 265 nurses in 17 intensive care units (ICUs) between February and August 2004 via a structured questionnaire, yielding a response rate of 80 percent. Study Design A cross-sectional study design was used. Data were analyzed by correlation analyses and structural equation modeling. Principal Findings Performance obstacles were found to affect perceived quality and safety of care and QWL of ICU nurses. Workload mediated the impact of performance obstacles with the exception of equipment-related issues on perceived quality and safety of care as well as QWL. Conclusions Performance obstacles in ICUs are a major determinant of nursing workload, perceived quality and safety of care, and QWL. In general, performance obstacles increase nursing workload, which in turn negatively affect perceived quality and safety of care and QWL. Redesigning the ICU work system to reduce performance obstacles may improve nurses‘ work. PMID:19207589
GraphMeta: Managing HPC Rich Metadata in Graphs
DOE Office of Scientific and Technical Information (OSTI.GOV)
Dai, Dong; Chen, Yong; Carns, Philip
High-performance computing (HPC) systems face increasingly critical metadata management challenges, especially in the approaching exascale era. These challenges arise not only from exploding metadata volumes, but also from increasingly diverse metadata, which contains data provenance and arbitrary user-defined attributes in addition to traditional POSIX metadata. This ‘rich’ metadata is becoming critical to supporting advanced data management functionality such as data auditing and validation. In our prior work, we identified a graph-based model as a promising solution to uniformly manage HPC rich metadata due to its flexibility and generality. However, at the same time, graph-based HPC rich metadata anagement also introducesmore » significant challenges to the underlying infrastructure. In this study, we first identify the challenges on the underlying infrastructure to support scalable, high-performance rich metadata management. Based on that, we introduce GraphMeta, a graphbased engine designed for this use case. It achieves performance scalability by introducing a new graph partitioning algorithm and a write-optimal storage engine. We evaluate GraphMeta under both synthetic and real HPC metadata workloads, compare it with other approaches, and demonstrate its advantages in terms of efficiency and usability for rich metadata management in HPC systems.« less
NASA Astrophysics Data System (ADS)
Petrosyan, A. Sh.
2016-09-01
PanDA (Production and Distributed Analysis System) is a workload management system, widely used for data processing at experiments on Large Hadron Collider and others. COMPASS is a high-energy physics experiment at the Super Proton Synchrotron. Data processing for COMPASS runs locally at CERN, on lxbatch, the data itself stored in CASTOR. In 2014 an idea to start running COMPASS production through PanDA arose. Such transformation in experiment's data processing will allow COMPASS community to use not only CERN resources, but also Grid resources worldwide. During the spring and summer of 2015 installation, validation and migration work is being performed at JINR. Details and results of this process are presented in this paper.
Heart Rate Variability as a Measure of Airport Ramp-Traffic Controllers Workload
NASA Technical Reports Server (NTRS)
Hayashi, Miwa; Dulchinos, Victoria Lee
2016-01-01
Heart Rate Variability (HRV) has been reported to reflect the person's cognitive and emotional stress levels, and may offer an objective measure of human-operator's workload levels, which are recorded continuously and unobtrusively to the task performance. The present paper compares the HRV data collected during a human-in-the-loop simulation of airport ramp-traffic control operations with the controller participants' own verbal self-reporting ratings of their workload.
Integration of Titan supercomputer at OLCF with ATLAS Production System
NASA Astrophysics Data System (ADS)
Barreiro Megino, F.; De, K.; Jha, S.; Klimentov, A.; Maeno, T.; Nilsson, P.; Oleynik, D.; Padolski, S.; Panitkin, S.; Wells, J.; Wenaus, T.; ATLAS Collaboration
2017-10-01
The PanDA (Production and Distributed Analysis) workload management system was developed to meet the scale and complexity of distributed computing for the ATLAS experiment. PanDA managed resources are distributed worldwide, on hundreds of computing sites, with thousands of physicists accessing hundreds of Petabytes of data and the rate of data processing already exceeds Exabyte per year. While PanDA currently uses more than 200,000 cores at well over 100 Grid sites, future LHC data taking runs will require more resources than Grid computing can possibly provide. Additional computing and storage resources are required. Therefore ATLAS is engaged in an ambitious program to expand the current computing model to include additional resources such as the opportunistic use of supercomputers. In this paper we will describe a project aimed at integration of ATLAS Production System with Titan supercomputer at Oak Ridge Leadership Computing Facility (OLCF). Current approach utilizes modified PanDA Pilot framework for job submission to Titan’s batch queues and local data management, with lightweight MPI wrappers to run single node workloads in parallel on Titan’s multi-core worker nodes. It provides for running of standard ATLAS production jobs on unused resources (backfill) on Titan. The system already allowed ATLAS to collect on Titan millions of core-hours per month, execute hundreds of thousands jobs, while simultaneously improving Titans utilization efficiency. We will discuss the details of the implementation, current experience with running the system, as well as future plans aimed at improvements in scalability and efficiency. Notice: This manuscript has been authored, by employees of Brookhaven Science Associates, LLC under Contract No. DE-AC02-98CH10886 with the U.S. Department of Energy. The publisher by accepting the manuscript for publication acknowledges that the United States Government retains a non-exclusive, paid-up, irrevocable, world-wide license to publish or reproduce the published form of this manuscript, or allow others to do so, for United States Government purposes.
Mental workload during brain-computer interface training.
Felton, Elizabeth A; Williams, Justin C; Vanderheiden, Gregg C; Radwin, Robert G
2012-01-01
It is not well understood how people perceive the difficulty of performing brain-computer interface (BCI) tasks, which specific aspects of mental workload contribute the most, and whether there is a difference in perceived workload between participants who are able-bodied and disabled. This study evaluated mental workload using the NASA Task Load Index (TLX), a multi-dimensional rating procedure with six subscales: Mental Demands, Physical Demands, Temporal Demands, Performance, Effort, and Frustration. Able-bodied and motor disabled participants completed the survey after performing EEG-based BCI Fitts' law target acquisition and phrase spelling tasks. The NASA-TLX scores were similar for able-bodied and disabled participants. For example, overall workload scores (range 0-100) for 1D horizontal tasks were 48.5 (SD = 17.7) and 46.6 (SD 10.3), respectively. The TLX can be used to inform the design of BCIs that will have greater usability by evaluating subjective workload between BCI tasks, participant groups, and control modalities. Mental workload of brain-computer interfaces (BCI) can be evaluated with the NASA Task Load Index (TLX). The TLX is an effective tool for comparing subjective workload between BCI tasks, participant groups (able-bodied and disabled), and control modalities. The data can inform the design of BCIs that will have greater usability.
Heavy vehicle driver workload assessment : executive summary
DOT National Transportation Integrated Search
1996-10-01
This report summarizes a program of research to develop methods, data, and guidelines to conduct heavy vehicle driver-oriented workload assessments of new, high-technology, in-cab devices. Many such devices are being developed and implemented in heav...
NASA TLX: software for assessing subjective mental workload.
Cao, Alex; Chintamani, Keshav K; Pandya, Abhilash K; Ellis, R Darin
2009-02-01
The NASA Task Load Index (TLX) is a popular technique for measuring subjective mental workload. It relies on a multidimensional construct to derive an overall workload score based on a weighted average of ratings on six subscales: mental demand, physical demand, temporal demand, performance, effort, and frustration level. A program for implementing a computerized version of the NASA TLX is described. The software version assists in simplifying collection, postprocessing, and storage of raw data. The program collects raw data from the subject and calculates the weighted (or unweighted) workload score, which is output to a text file. The program can also be tailored to a specific experiment using a simple input text file, if desired. The program was designed in Visual Studio 2005 and is capable of running on a Pocket PC with Windows CE or on a PC with Windows 2000 or higher. The NASA TLX program is available for free download.
Inflight workload assessment: comparison of subjective and physiological measurements.
Lee, Yung-Hui; Liu, Bor-Shong
2003-10-01
Assessment of pilot workload during flight is an important aviation safety consideration. The aim of this study was to assess inflight pilot workload using both physiological and multidimensional subjective-ratings measurements (heart rate and NASA Task Load Index, respectively), comparing relative sensitivity during the four phases of flight: take-off, cruise, approach, and landing. Ten male pilots volunteered to participate in the trials, which took place in a Boeing 747-400 flight simulator. Electrocardiography was performed throughout the test using the portable Cardiovis ECG system. Mean heart rate (HR) and incremental heart rate (delta HR) were considered indices of physiological workload. Peak HR was observed during take-off (83.2 bpm) and landing (88.6 bpm); moreover, delta HR was also greatest (14.2 bpm and 18.8 bpm). The Task Load Index (TLX) scale revealed that mental and performance demands were essential components of workload during flight. In addition, temporal demand was an important component of workload during take-off and physical demand was significant during cruise. Analysis of correlation revealed that the delta HR is significantly related to TLX scores (r = 0.81, n = 40). Management of the individual sources of stress, which tend to become predominant during different flight phases, should be emphasized in periodic recurrent training. For example, a pilot must be trained to cope with the increased temporal stresses associated with take-off. In addition, the recommendations will be concerned with maintaining vigilance, task allocation between pilots, and inflight rest during long-haul cruise.
Cardiopulmonary data-acquisition system
NASA Technical Reports Server (NTRS)
Crosier, W. G.; Reed, R. A.
1981-01-01
Computerized system controls and monitors bicycle and treadmill cardiovascular stress tests. It acquires and reduces stress data and displays heart rate, blood pressure, workload, respiratory rate, exhaled-gas composition, and other variables. Data are printed on hard-copy terminal every 30 seconds for quick operator response to patient. Ergometer workload is controlled in real time according to experimental protocol. Collected data are stored directly on tape in analog form and on floppy disks in digital form for later processing.
Information retrieval and display system
NASA Technical Reports Server (NTRS)
Groover, J. L.; King, W. L.
1977-01-01
Versatile command-driven data management system offers users, through simplified command language, a means of storing and searching data files, sorting data files into specified orders, performing simple or complex computations, effecting file updates, and printing or displaying output data. Commands are simple to use and flexible enough to meet most data management requirements.
Chin-Quee, Dawn; Mugeni, Cathy; Nkunda, Denis; Uwizeye, Marie Rose; Stockton, Laurie L; Wesson, Jennifer
2016-01-06
Task shifting from higher cadre providers to CHWs has been widely adopted to address healthcare provider shortages, but the addition of any service can potentially add to an already considerable workload for CHWs. Objective measures of workload alone, such as work-related time and travel may not reflect howCHWs actually perceive and react to their circumstances. This study combined perception and objectivemeasures of workload to examine their effect on quality of services, worker performance, and job and clientsatisfaction. Three hundred eighty-three CHWs from control and intervention districts, where the intervention group was trained to provide contraceptive resupply, completed diaries of work-related activities for one month. Interviews were also conducted with a subset of CHWs and their clients. CHW diaries did not reveal significant differences between intervention and control groups in time spent on service provision or travel. Over 90% of CHWs reported workload manageability, job satisfaction, and motivation to perform their jobs. Clients were highly satisfied with CHW services and most stated preference for future services from CHWs. The study demonstrated that adding resupply of hormonal contraceptives to CHWs' tasks would not place undue burden on them. Accordingly, the initiative was scaled up in all 30 districts in the country.
Towards a Methodology to Determine Standard Time Allocations for Academic Work
ERIC Educational Resources Information Center
Kenny, John; Fluck, Andrew Edward
2017-01-01
An online survey of workload activities was circulated to academics across Australia seeking estimates for the time to undertake a range of academic-related tasks associated with teaching, research and service. This article summarises the most important findings from the teaching data of the 2059 respondents. This detail of workload data has not…
Comparison of a brain-based adaptive system and a manual adaptable system for invoking automation.
Bailey, Nathan R; Scerbo, Mark W; Freeman, Frederick G; Mikulka, Peter J; Scott, Lorissa A
2006-01-01
Two experiments are presented examining adaptive and adaptable methods for invoking automation. Empirical investigations of adaptive automation have focused on methods used to invoke automation or on automation-related performance implications. However, no research has addressed whether performance benefits associated with brain-based systems exceed those in which users have control over task allocations. Participants performed monitoring and resource management tasks as well as a tracking task that shifted between automatic and manual modes. In the first experiment, participants worked with an adaptive system that used their electroencephalographic signals to switch the tracking task between automatic and manual modes. Participants were also divided between high- and low-reliability conditions for the system-monitoring task as well as high- and low-complacency potential. For the second experiment, participants operated an adaptable system that gave them manual control over task allocations. Results indicated increased situation awareness (SA) of gauge instrument settings for individuals high in complacency potential using the adaptive system. In addition, participants who had control over automation performed more poorly on the resource management task and reported higher levels of workload. A comparison between systems also revealed enhanced SA of gauge instrument settings and decreased workload in the adaptive condition. The present results suggest that brain-based adaptive automation systems may enhance perceptual level SA while reducing mental workload relative to systems requiring user-initiated control. Potential applications include automated systems for which operator monitoring performance and high-workload conditions are of concern.
Tucker, Janet
2002-01-12
UK recommendations suggest that large neonatal intensive-care units (NICUs) have better outcomes than small units, although this suggestion remains unproven. We assessed whether patient volume, staffing levels, and workload are associated with risk-adjusted outcomes, and with costs or staff wellbeing. 186 UK NICUs were stratified according to volume of patients, nursing provision, and neonatal consultant provision. Primary outcomes were hospital mortality, mortality or cerebral damage, and nosocomial bacteraemia. We studied 13515 infants of all birthweights consecutively admitted to 54 randomly selected NICUs. Multiple logistic regression analyses were done with every primary outcome as the dependent variable. Staff wellbeing and stress were assessed by anonymous mental health index (MHI)-5 questionnaires. Data were available for 13334 (99%) infants. High-volume NICUs treated the sickest infants and had highest crude mortality. Risk-adjusted mortality and mortality or cerebral damage were unrelated to patient volume or staffing provision; however, nosocomial bacteraemia was less frequent in NICUs with low neonatal consultant provision (odds ratio 0.65, 95% CI 0.43-0.98). Mortality was raised with increasing workload in all types of NICUs. Infants admitted at full capacity versus half capacity were about 50% more likely to die, but there was wide uncertainty around this estimate. Most staff had MHI-5 scores that suggested good mental health. The implications of this report for staffing policy, medicolegal risk management, and ethical practice remain to be tested. Centralisation of only the sickest infants could improve efficiency, provided that this does not create excessive workload for staff. Assessment of increased staffing levels that are closer to those in adult intensive care might be appropriate.
Mental workload during n-back task-quantified in the prefrontal cortex using fNIRS.
Herff, Christian; Heger, Dominic; Fortmann, Ole; Hennrich, Johannes; Putze, Felix; Schultz, Tanja
2013-01-01
When interacting with technical systems, users experience mental workload. Particularly in multitasking scenarios (e.g., interacting with the car navigation system while driving) it is desired to not distract the users from their primary task. For such purposes, human-machine interfaces (HCIs) are desirable which continuously monitor the users' workload and dynamically adapt the behavior of the interface to the measured workload. While memory tasks have been shown to elicit hemodynamic responses in the brain when averaging over multiple trials, a robust single trial classification is a crucial prerequisite for the purpose of dynamically adapting HCIs to the workload of its user. The prefrontal cortex (PFC) plays an important role in the processing of memory and the associated workload. In this study of 10 subjects, we used functional Near-Infrared Spectroscopy (fNIRS), a non-invasive imaging modality, to sample workload activity in the PFC. The results show up to 78% accuracy for single-trial discrimination of three levels of workload from each other. We use an n-back task (n ∈ {1, 2, 3}) to induce different levels of workload, forcing subjects to continuously remember the last one, two, or three of rapidly changing items. Our experimental results show that measuring hemodynamic responses in the PFC with fNIRS, can be used to robustly quantify and classify mental workload. Single trial analysis is still a young field that suffers from a general lack of standards. To increase comparability of fNIRS methods and results, the data corpus for this study is made available online.
Mental workload during n-back task—quantified in the prefrontal cortex using fNIRS
Herff, Christian; Heger, Dominic; Fortmann, Ole; Hennrich, Johannes; Putze, Felix; Schultz, Tanja
2014-01-01
When interacting with technical systems, users experience mental workload. Particularly in multitasking scenarios (e.g., interacting with the car navigation system while driving) it is desired to not distract the users from their primary task. For such purposes, human-machine interfaces (HCIs) are desirable which continuously monitor the users' workload and dynamically adapt the behavior of the interface to the measured workload. While memory tasks have been shown to elicit hemodynamic responses in the brain when averaging over multiple trials, a robust single trial classification is a crucial prerequisite for the purpose of dynamically adapting HCIs to the workload of its user. The prefrontal cortex (PFC) plays an important role in the processing of memory and the associated workload. In this study of 10 subjects, we used functional Near-Infrared Spectroscopy (fNIRS), a non-invasive imaging modality, to sample workload activity in the PFC. The results show up to 78% accuracy for single-trial discrimination of three levels of workload from each other. We use an n-back task (n ∈ {1, 2, 3}) to induce different levels of workload, forcing subjects to continuously remember the last one, two, or three of rapidly changing items. Our experimental results show that measuring hemodynamic responses in the PFC with fNIRS, can be used to robustly quantify and classify mental workload. Single trial analysis is still a young field that suffers from a general lack of standards. To increase comparability of fNIRS methods and results, the data corpus for this study is made available online. PMID:24474913
qPortal: A platform for data-driven biomedical research.
Mohr, Christopher; Friedrich, Andreas; Wojnar, David; Kenar, Erhan; Polatkan, Aydin Can; Codrea, Marius Cosmin; Czemmel, Stefan; Kohlbacher, Oliver; Nahnsen, Sven
2018-01-01
Modern biomedical research aims at drawing biological conclusions from large, highly complex biological datasets. It has become common practice to make extensive use of high-throughput technologies that produce big amounts of heterogeneous data. In addition to the ever-improving accuracy, methods are getting faster and cheaper, resulting in a steadily increasing need for scalable data management and easily accessible means of analysis. We present qPortal, a platform providing users with an intuitive way to manage and analyze quantitative biological data. The backend leverages a variety of concepts and technologies, such as relational databases, data stores, data models and means of data transfer, as well as front-end solutions to give users access to data management and easy-to-use analysis options. Users are empowered to conduct their experiments from the experimental design to the visualization of their results through the platform. Here, we illustrate the feature-rich portal by simulating a biomedical study based on publically available data. We demonstrate the software's strength in supporting the entire project life cycle. The software supports the project design and registration, empowers users to do all-digital project management and finally provides means to perform analysis. We compare our approach to Galaxy, one of the most widely used scientific workflow and analysis platforms in computational biology. Application of both systems to a small case study shows the differences between a data-driven approach (qPortal) and a workflow-driven approach (Galaxy). qPortal, a one-stop-shop solution for biomedical projects offers up-to-date analysis pipelines, quality control workflows, and visualization tools. Through intensive user interactions, appropriate data models have been developed. These models build the foundation of our biological data management system and provide possibilities to annotate data, query metadata for statistics and future re-analysis on high-performance computing systems via coupling of workflow management systems. Integration of project and data management as well as workflow resources in one place present clear advantages over existing solutions.
Masursky, Danielle; Dexter, Franklin; O'Leary, Colleen E; Applegeet, Carol; Nussmeier, Nancy A
2008-04-01
Anesthesia department planning depends on forecasting future demand for perioperative services. Little is known about long-range forecasting of anesthesia workload. We studied operating room (OR) times at Hospital A over 16 yr (1991-2006), anesthesia times at Hospital B over 26 yr (1981-2006), and cases at Hospital C over 13 yr (1994-2006). Each hospital is >100 yr old and is located in a US city with other hospitals that are >50 yr old. Hospitals A and B are the sole University hospitals in their metropolitan statistical areas (and many counties beyond). Hospital C is the sole tertiary hospital for >375 km. Each hospital's choice of a measure of anesthesia work to be analyzed was likely unimportant, as the annual hours of anesthesia correlated highly both with annual numbers of cases (r = 0.98) and with American Society of Anesthesiologist's Relative Value Guide units of work (r = 0.99). Despite a 2% decline in the local population, the hours of OR time at Hospital A increased overall (Pearson r = -0.87, P < 0.001) and for children (r = -0.84). At Hospital B, there was a strong positive correlation between population and hours of anesthesia (r = 0.97, P < 0.001), but not between annual increases in population and workload (r = -0.18). At Hospital C, despite a linear increase in population, the annual numbers of cases increased, declined with opening of two outpatient surgery facilities, and then stabilized. The predictive value of local personal income was low. In contrast, the annual increases in the hours of OR time and anesthesia could be modeled using simple time series methods. Although growth of the elderly population is a simple justification for building more ORs, managers should be cautious in arguing for strategic changes in capacity at individual hospitals based on future changes in the national age-adjusted population. Local population can provide little value in forecasting future anesthesia workloads at individual hospitals. In addition, anesthesia groups and hospital administrators should not focus on quarterly changes in workload, because workload can vary widely, despite consistent patterns over decades. To facilitate long-range planning, anesthesia groups and hospitals should save their billing and OR time data, display it graphically over years, and supplement with corresponding forecasting methods (e.g., staff an additional OR when an upper prediction bound of workload per OR exceeds a threshold).
Physician activity during outpatient visits and subjective workload.
Calvitti, Alan; Hochheiser, Harry; Ashfaq, Shazia; Bell, Kristin; Chen, Yunan; El Kareh, Robert; Gabuzda, Mark T; Liu, Lin; Mortensen, Sara; Pandey, Braj; Rick, Steven; Street, Richard L; Weibel, Nadir; Weir, Charlene; Agha, Zia
2017-05-01
We describe methods for capturing and analyzing EHR use and clinical workflow of physicians during outpatient encounters and relating activity to physicians' self-reported workload. We collected temporally-resolved activity data including audio, video, EHR activity, and eye-gaze along with post-visit assessments of workload. These data are then analyzed through a combination of manual content analysis and computational techniques to temporally align streams, providing a range of process measures of EHR usage, clinical workflow, and physician-patient communication. Data was collected from primary care and specialty clinics at the Veterans Administration San Diego Healthcare System and UCSD Health, who use Electronic Health Record (EHR) platforms, CPRS and Epic, respectively. Grouping visit activity by physician, site, specialty, and patient status enables rank-ordering activity factors by their correlation to physicians' subjective work-load as captured by NASA Task Load Index survey. We developed a coding scheme that enabled us to compare timing studies between CPRS and Epic and extract patient and visit complexity profiles. We identified similar patterns of EHR use and navigation at the 2 sites despite differences in functions, user interfaces and consequent coded representations. Both sites displayed similar proportions of EHR function use and navigation, and distribution of visit length, proportion of time physicians attended to EHRs (gaze), and subjective work-load as measured by the task load survey. We found that visit activity was highly variable across individual physicians, and the observed activity metrics ranged widely as correlates to subjective workload. We discuss implications of our study for methodology, clinical workflow and EHR redesign. Copyright © 2017 Elsevier Inc. All rights reserved.
Validation of air traffic controller workload models
DOT National Transportation Integrated Search
1979-09-01
During the past several years, computer models have been developed for off-site : estimat ion of control ler's workload. The inputs to these models are audio and : digital data normally recorded at an Air Route Traffic Control Center (ARTCC). : This ...
Li, Zuofeng; Wen, Jingran; Zhang, Xiaoyan; Wu, Chunxiao; Li, Zuogao; Liu, Lei
2012-01-01
Aim to ease the secondary use of clinical data in clinical research, we introduce a metadata driven web-based clinical data management system named ClinData Express. ClinData Express is made up of two parts: 1) m-designer, a standalone software for metadata definition; 2) a web based data warehouse system for data management. With ClinData Express, what the researchers need to do is to define the metadata and data model in the m-designer. The web interface for data collection and specific database for data storage will be automatically generated. The standards used in the system and the data export modular make sure of the data reuse. The system has been tested on seven disease-data collection in Chinese and one form from dbGap. The flexibility of system makes its great potential usage in clinical research. The system is available at http://code.google.com/p/clindataexpress. PMID:23304327
Assessment of Crew Workload for the RAH-66 Comanche Force Development Experiment 1
2001-10-01
Scale and a cockpit controls and displays usability questionnaire . Results of the assessment indicate that (a) workload was tolerable for the pilots...Workload Levels Between Front Seat and Back Seat 13 3.4 Pilot Responses to Controls and Displays Usability Questionnaire 13 3.5 HMD Symbology 13 4... questionnaire . The data were analyzed to determine if the pilot flying the aircraft (pilot on controls) and the pilot operating the mission equipment
The IHS diagnostic X-ray equipment radiation protection program
DOE Office of Scientific and Technical Information (OSTI.GOV)
Knapp, A.; Byrns, G.; Suleiman, O.
The Indian Health Service (IHS) operates or contracts with Tribal groups to operate 50 hospitals and approximately 165 primary ambulatory care centers. These facilities contain approximately 275 medical and 800 dental diagnostic x-ray machines. IHS environmental health personnel in collaboration with the Food and Drug Administration's (FDA) Center for Devices and Radiological Health (CDRH) developed a diagnostic x-ray protection program including standard survey procedures and menu-driven calculations software. Important features of the program include the evaluation of equipment performance collection of average patient entrance skin exposure (ESE) measurements for selected procedures, and quality assurance. The ESE data, collected using themore » National Evaluation of X-ray Trends (NEXT) protocol, will be presented. The IHS Diagnostic X-ray Radiation Protection Program is dynamic and is adapting to changes in technology and workload.« less
Scaling Deep Learning workloads: NVIDIA DGX-1/Pascal and Intel Knights Landing
Gawande, Nitin A.; Daily, Jeff A.; Siegel, Charles; ...
2018-05-05
Deep Learning (DL) algorithms have become ubiquitous in data analytics. As a result, major computing vendors—including NVIDIA, Intel, AMD, and IBM—have architectural road maps influenced by DL workloads. Furthermore, several vendors have recently advertised new computing products as accelerating large DL workloads. Unfortunately, it is difficult for data scientists to quantify the potential of these different products. Here, this article provides a performance and power analysis of important DL workloads on two major parallel architectures: NVIDIA DGX-1 (eight Pascal P100 GPUs interconnected with NVLink) and Intel Knights Landing (KNL) CPUs interconnected with Intel Omni-Path or Cray Aries. Our evaluation consistsmore » of a cross section of convolutional neural net workloads: CifarNet, AlexNet, GoogLeNet, and ResNet50 topologies using the Cifar10 and ImageNet datasets. The workloads are vendor-optimized for each architecture. We use sequentially equivalent implementations to maintain iso-accuracy between parallel and sequential DL models. Our analysis indicates that although GPUs provide the highest overall performance, the gap can close for some convolutional networks; and the KNL can be competitive in performance/watt. We find that NVLink facilitates scaling efficiency on GPUs. However, its importance is heavily dependent on neural network architecture. Furthermore, for weak-scaling—sometimes encouraged by restricted GPU memory—NVLink is less important.« less
Scaling Deep Learning workloads: NVIDIA DGX-1/Pascal and Intel Knights Landing
DOE Office of Scientific and Technical Information (OSTI.GOV)
Gawande, Nitin A.; Daily, Jeff A.; Siegel, Charles
Deep Learning (DL) algorithms have become ubiquitous in data analytics. As a result, major computing vendors—including NVIDIA, Intel, AMD, and IBM—have architectural road maps influenced by DL workloads. Furthermore, several vendors have recently advertised new computing products as accelerating large DL workloads. Unfortunately, it is difficult for data scientists to quantify the potential of these different products. Here, this article provides a performance and power analysis of important DL workloads on two major parallel architectures: NVIDIA DGX-1 (eight Pascal P100 GPUs interconnected with NVLink) and Intel Knights Landing (KNL) CPUs interconnected with Intel Omni-Path or Cray Aries. Our evaluation consistsmore » of a cross section of convolutional neural net workloads: CifarNet, AlexNet, GoogLeNet, and ResNet50 topologies using the Cifar10 and ImageNet datasets. The workloads are vendor-optimized for each architecture. We use sequentially equivalent implementations to maintain iso-accuracy between parallel and sequential DL models. Our analysis indicates that although GPUs provide the highest overall performance, the gap can close for some convolutional networks; and the KNL can be competitive in performance/watt. We find that NVLink facilitates scaling efficiency on GPUs. However, its importance is heavily dependent on neural network architecture. Furthermore, for weak-scaling—sometimes encouraged by restricted GPU memory—NVLink is less important.« less
Development of techniques for measuring pilot workload
NASA Technical Reports Server (NTRS)
Spyker, D. A.; Stackhouse, S. P.; Khalafalla, A. S.; Mclane, R. C.
1971-01-01
An objective method of assessing information workload based on physiological measurements was developed. Information workload, or reserve capacity, was measured using a visual discrimination secondary task and subjective rating of task difficulty. The primary task was two axis (pitch and roll) tracking, and the independent variables in this study were aircraft pitch dynamics and wind gust disturbances. The study was structured to provide: (1) a sensitive, nonloading measure of reserve capacity, and (2) an unencumbering reliable measurement of the psychophysiological state. From these, a measured workload index (MWI) and physiological workload index (PWI) were extracted. An important measure of the success of this study was the degree to which the MWI and PWI agreed across the 243 randomly-presented, four-minute trials (9 subjects X 9 tasks X 3 replications). The electrophysiological data collected included vectorcardiogaram, respiration, electromyogram, skin impedance, and electroencephalogram. Special computer programs were created for the analysis of each physiological variable. The digital data base then consisted of 82 physiological features for each of the 243 trials. A prediction of workload based on physiological observations was formulated as a simultaneous least-squares prediction problem. A best subset of 10 features was chosen to predict the three measures of reserve capacity. The cannonical correlation coefficient was .754 with a chi squared value of 91.3 which allows rejection of the null hypothesis with p of .995.
Carter, Mary; Fletcher, Emily; Sansom, Anna; Warren, Fiona C; Campbell, John L
2018-02-15
To evaluate the feasibility, acceptability and effectiveness of webGP as piloted by six general practices. Mixed-methods evaluation, including data extraction from practice databases, general practitioner (GP) completion of case reports, patient questionnaires and staff interviews. General practices in NHS Northern, Eastern and Western Devon Clinical Commissioning Group's area approximately 6 months after implementing webGP (February-July 2016). Six practices provided consultations data; 20 GPs completed case reports (regarding 61 e-consults); 81 patients completed questionnaires; 5 GPs and 5 administrators were interviewed. Attitudes and experiences of practice staff and patients regarding webGP. WebGP uptake during the evaluation was small, showing no discernible impact on practice workload. The completeness of cross-sectional data on consultation workload varied between practices.GPs judged 41/61 (72%) of webGP requests to require a face-to-face or telephone consultation. Introducing webGP appeared to be associated with shifts in responsibility and workload between practice staff and between practices and patients.81/231 patients completed a postal survey (35.1% response rate). E-Consulters were somewhat younger and more likely to be employed than face-to-face respondents. WebGP appeared broadly acceptable to patients regarding timeliness and quality/experience of care provided. Similar problems were presented by all respondents. Both groups appeared equally familiar with other practice online services; e-consulters were somewhat more likely to have used them.From semistructured staff interviews, it appeared that, while largely acceptable within practice, introducing e-consults had potential for adverse interactions with pre-existing practice systems. There is potential to assess the impact of new systems on consultation patterns by extracting routine data from practice databases. Staff and patients noticed subtle changes to responsibilities associated with online options. Greater uptake requires good communication between practice and patients, and organisation of systems to avoid conflicts and misuse. Further research is required to evaluate the full potential of webGP in managing practice workload. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted.
Mental workload measurement for emergency operating procedures in digital nuclear power plants.
Gao, Qin; Wang, Yang; Song, Fei; Li, Zhizhong; Dong, Xiaolu
2013-01-01
Mental workload is a major consideration for the design of emergency operation procedures (EOPs) in nuclear power plants. Continuous and objective measures are desired. This paper compares seven mental workload measurement methods (pupil size, blink rate, blink duration, heart rate variability, parasympathetic/sympathetic ratio, total power and (Goals, Operations, Methods, and Section Rules)-(Keystroke Level Model) GOMS-KLM-based workload index) with regard to sensitivity, validity and intrusiveness. Eighteen participants performed two computerised EOPs of different complexity levels, and mental workload measures were collected during the experiment. The results show that the blink rate is sensitive to both the difference in the overall task complexity and changes in peak complexity within EOPs, that the error rate is sensitive to the level of arousal and correlate to the step error rate and that blink duration increases over the task period in both low and high complexity EOPs. Cardiac measures were able to distinguish tasks with different overall complexity. The intrusiveness of the physiological instruments is acceptable. Finally, the six physiological measures were integrated using group method of data handling to predict perceived overall mental workload. The study compared seven measures for evaluating the mental workload with emergency operation procedure in nuclear power plants. An experiment with simulated procedures was carried out, and the results show that eye response measures are useful for assessing temporal changes of workload whereas cardiac measures are useful for evaluating the overall workload.
Influence of patient and provider factors on the workload of on-call physicians
Hsu, Nin-Chieh; Huang, Chun-Che; Jerng, Jih-Shuin; Hsu, Chia-Hao; Yang, Ming-Chin; Chang, Ray-E; Ko, Wen-Je; Yu, Chong-Jen
2016-01-01
Abstract Factors associated with the physician workload are scarcely reported. The study aims to investigate the associated factors of on-call physician workload based on a published conceptual framework. The study was conducted in a general internal medicine unit of National Taiwan University Hospital. On-call physician workloads were recorded on a shift basis from 1198 hospitalized patients between May 2010 and April 2011. The proxy of on-call workloads included night calls, bedside evaluation/management (E/M), and performing clinical procedures in a shift. Multivariable logistic and negative binomial regression models were used to determine the factors associated with the workloads of on-call physicians. During the study period, 378 (31.6%) of patients had night calls with related workloads. Multivariate analysis showed that the number of patients with unstable conditions in a shift (odds ratio [OR] 1.89 and 1.66, respectively) and the intensive care unit (ICU) training of the nurse leader (OR 2.87 and 3.08, respectively) resulted in higher likelihood of night calls to and bedside E/M visits by the on-call physician. However, ICU training of nurses (OR = 0.37, 95% confidence interval: 0.16–0.86) decreased the demand of performing clinical procedures by the on-call physician. Moreover, number of patients with unstable conditions (risk ratio [RR] 1.52 and 1.55, respectively) had significantly increased the number of night calls and bedside E/M by on-call physicians by around 50%. Nurses with N1 level (RR 2.16 and 2.71, respectively) were more likely to place night calls and facilitate bedside E/M by the on-call physician compared to nurses with N0 level. In addition, the nurse leaders with ICU training (RR 1.72 and 3.07, respectively) had significant increases in night calls and bedside E/M by the on-call physician compared to those without ICU training. On-call physician workload is associated with patient factors and the training of nurses. Number of unstable patients in a shift may be considered in predicting workload. The training of nurses may improve patient safety and decrease demand for clinical procedure. PMID:27583910
Hsu, Nin-Chieh; Huang, Chun-Che; Jerng, Jih-Shuin; Hsu, Chia-Hao; Yang, Ming-Chin; Chang, Ray-E; Ko, Wen-Je; Yu, Chong-Jen
2016-08-01
Factors associated with the physician workload are scarcely reported. The study aims to investigate the associated factors of on-call physician workload based on a published conceptual framework.The study was conducted in a general internal medicine unit of National Taiwan University Hospital. On-call physician workloads were recorded on a shift basis from 1198 hospitalized patients between May 2010 and April 2011. The proxy of on-call workloads included night calls, bedside evaluation/management (E/M), and performing clinical procedures in a shift. Multivariable logistic and negative binomial regression models were used to determine the factors associated with the workloads of on-call physicians.During the study period, 378 (31.6%) of patients had night calls with related workloads. Multivariate analysis showed that the number of patients with unstable conditions in a shift (odds ratio [OR] 1.89 and 1.66, respectively) and the intensive care unit (ICU) training of the nurse leader (OR 2.87 and 3.08, respectively) resulted in higher likelihood of night calls to and bedside E/M visits by the on-call physician. However, ICU training of nurses (OR = 0.37, 95% confidence interval: 0.16-0.86) decreased the demand of performing clinical procedures by the on-call physician. Moreover, number of patients with unstable conditions (risk ratio [RR] 1.52 and 1.55, respectively) had significantly increased the number of night calls and bedside E/M by on-call physicians by around 50%. Nurses with N1 level (RR 2.16 and 2.71, respectively) were more likely to place night calls and facilitate bedside E/M by the on-call physician compared to nurses with N0 level. In addition, the nurse leaders with ICU training (RR 1.72 and 3.07, respectively) had significant increases in night calls and bedside E/M by the on-call physician compared to those without ICU training.On-call physician workload is associated with patient factors and the training of nurses. Number of unstable patients in a shift may be considered in predicting workload. The training of nurses may improve patient safety and decrease demand for clinical procedure.
Information on Army Planned Future State Agile Workforce to Meet the Ever-Changing Needs of the Army
2015-12-01
Arlington, VA 22202-4302, and to the Office of Management and Budget, Paperwork Reduction Project (0704-0188) Washington, DC 20503. 1. AGENCY USE ONLY...United States Navy Submitted in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE IN PROGRAM MANAGEMENT from the NAVAL... Management of TDAs ....................................................................2 3. Management of Workforce to Workload
School nurses' perspectives on managing mental health problems in children and young people.
Pryjmachuk, Steven; Graham, Tanya; Haddad, Mark; Tylee, Andre
2012-03-01
To explore the views of school nurses regarding mental health problems in young people and their potential for engaging in mental health work with this client group. Mental health problems in children and young people are an important public health issue. Universal children's services play a key role in identifying and managing these problems and, while school nurses have an important function in this work, little is known about their views on this aspect of their role. A qualitative research design employing focus group methodology. School nurses (n = 33) were purposively sampled from four school nursing teams in two English cities for a series of focus groups. The focus group data were audio-recorded, transcribed and subsequently analysed using 'framework'. Four principal themes emerged from the data. In these themes, school nurses were found to value their involvement with the mental health of young people, recognising this as an important area of practice. Several obstacles to their work in this area were identified: heavy workloads, professional rivalries, a lack of confidence and limited education and training opportunities. The importance of support from local specialist mental health teams was emphasised. School nurses can be engaged in mental health work though, as public health specialists, their role should focus on health promotion, assessment, signposting and early intervention activities. To facilitate mental health work, school nurses are able to draw on established interpersonal skills and supportive networks; however, workload and a lack of confidence need to be managed and it is important that they are supported by constructive relationships with local specialist mental health teams. This study has implications for nurses and healthcare practitioners interested in enhancing the mental health of children and young people in school settings. © 2011 Blackwell Publishing Ltd.
CRAB3: Establishing a new generation of services for distributed analysis at CMS
NASA Astrophysics Data System (ADS)
Cinquilli, M.; Spiga, D.; Grandi, C.; Hernàndez, J. M.; Konstantinov, P.; Mascheroni, M.; Riahi, H.; Vaandering, E.
2012-12-01
In CMS Computing the highest priorities for analysis tools are the improvement of the end users’ ability to produce and publish reliable samples and analysis results as well as a transition to a sustainable development and operations model. To achieve these goals CMS decided to incorporate analysis processing into the same framework as data and simulation processing. This strategy foresees that all workload tools (TierO, Tier1, production, analysis) share a common core with long term maintainability as well as the standardization of the operator interfaces. The re-engineered analysis workload manager, called CRAB3, makes use of newer technologies, such as RESTFul based web services and NoSQL Databases, aiming to increase the scalability and reliability of the system. As opposed to CRAB2, in CRAB3 all work is centrally injected and managed in a global queue. A pool of agents, which can be geographically distributed, consumes work from the central services serving the user tasks. The new architecture of CRAB substantially changes the deployment model and operations activities. In this paper we present the implementation of CRAB3, emphasizing how the new architecture improves the workflow automation and simplifies maintainability. In particular, we will highlight the impact of the new design on daily operations.
Roscigno, Cecelia I.; Fleig, Denise K.; Knafl, Kathleen A.
2014-01-01
Purpose School reintegration following children’s traumatic brain injury (TBI) is still poorly understood from families’ perspectives. We aimed to understand how both unique and common experiences during children’s school reintegration were explained by parents to influence the family. Methods Data came from an investigation using descriptive phenomenology (2005–2007) to understand parents’ experiences in the first 5 years following children’s moderate to severe TBI. Parents (N = 42 from 37 families in the United States) participated in two 90-minute interviews (first M = 15 months; second M = 27 months). Two investigators independently coded parents’ discussions of school reintegration using content analysis to understand the unique and common factors that parents perceived affected the family. Results Parents’ school negotiation themes included: 1) legal versus moral basis for helping the child; 2) inappropriate state and local services that did not consider needs specific to TBI; and, 3) involvement in planning, implementing, and evaluating the child’s education plan. Parents perceived that coordinated and collaboration leadership with school personnel lessened families’ workload. Families who home-schooled had unique challenges. Conclusions School reintegration can add to family workload by changing roles and relationships, and by adding to parents’ perceived stress in managing of the child’s condition. PMID:24969697
NASA Technical Reports Server (NTRS)
Wei, Peng; Sridhar, Banavar; Chen, Neil Yi-Nan; Sun, Dengfent
2012-01-01
A class of strategies has been proposed to reduce contrail formation in the United States airspace. A 3D grid based on weather data and the cruising altitude level of aircraft is adjusted to avoid the persistent contrail potential area with the consideration to fuel-efficiency. In this paper, the authors introduce a contrail avoidance strategy on 3D grid by considering additional operationally feasible constraints from an air traffic controller's aspect. First, shifting too many aircraft to the same cruising level will make the miles-in-trail at this level smaller than the safety separation threshold. Furthermore, the high density of aircraft at one cruising level may exceed the workload for the traffic controller. Therefore, in our new model we restrict the number of total aircraft at each level. Second, the aircraft count variation for successive intervals cannot be too drastic since the workload to manage climbing/descending aircraft is much larger than managing cruising aircraft. The contrail reduction is formulated as an integer-programming problem and the problem is shown to have the property of total unimodularity. Solving the corresponding relaxed linear programming with the simplex method provides an optimal and integral solution to the problem. Simulation results are provided to illustrate the methodology.
Van Bogaert, Peter; Peremans, Lieve; Van Heusden, Danny; Verspuy, Martijn; Kureckova, Veronika; Van de Cruys, Zoë; Franck, Erik
2017-01-01
High levels of work-related stress, burnout, job dissatisfaction, and poor health are common within the nursing profession. A comprehensive understanding of nurses' psychosocial work environment is necessary to respond to complex patients' needs. The aims of this study were threefold: (1) To retest and confirm two structural equation models exploring associations between practice environment and work characteristics as predictors of burnout (model 1) and engagement (model 2) as well as nurse-reported job outcome and quality of care; (2) To study staff nurses' and nurse managers' perceptions and experiences of staff nurses' workload; (3) To explain and interpret the two models by using the qualitative study findings. This mixed method study is based on an explanatory sequential study design. We first performed a cross-sectional survey design in two large acute care university hospitals. Secondly, we conducted individual semi-structured interviews with staff nurses and nurse managers assigned to medical or surgical units in one of the study hospitals. Study data was collected between September 2014 and June 2015. Finally, qualitative study results assisted in explaining and interpreting the findings of the two models. The two models with burnout and engagement as mediating outcome variables fitted sufficiently to the data. Nurse-reported job outcomes and quality of care explained variances between 52 and 62%. Nurse management at the unit level and workload had a direct impact on outcome variables with explained variances between 23 and 36% and between 12 and 17%, respectively. Personal accomplishment and depersonalization had an explained variance on job outcomes of 23% and vigor of 20%. Burnout and engagement had a less relevant direct impact on quality of care (≤5%). The qualitative study revealed various themes such as organisation of daily practice and work conditions; interdisciplinary collaboration, communication and teamwork; staff nurse personal characteristics and competencies; patient centeredness, quality and patient safety. Respondents' statements corresponded closely to the models' associations. A deep understanding of various associations and impacts on studied outcome variables such as risk factors and protective factors was gained through the retested models and the interviews with the study participants. Besides the softer work characteristics - such as decision latitude, social capital and team cohesion - more insight and knowledge of the hard work characteristic workload is essential.
Incorporating Data Link Messaging into a Multi-function Display for General Aviation Aircraft
NASA Technical Reports Server (NTRS)
Adams, Catherine A.; Murdoch, Jennifer L.
2006-01-01
One objective of the Small Aircraft Transportation System (SATS) Project is to increase the capacity and utilization of small non-towered, non-radar equipped airports by transferring traffic management activities to an automated system and separation responsibilities to general aviation (GA) pilots. This paper describes the development of a research multi-function display (MFD) to support the interaction between pilots and an automated Airport Management Module (AMM). Preliminary results of simulation and flight tests indicate that adding the responsibility of monitoring other traffic for self-separation does not increase pilots subjective workload levels. Pilots preferred using the enhanced MFD to execute flight procedures, reporting improved situation awareness over conventional instrument flight rules (IFR) procedures.
W-MAC: A Workload-Aware MAC Protocol for Heterogeneous Convergecast in Wireless Sensor Networks
Xia, Ming; Dong, Yabo; Lu, Dongming
2011-01-01
The power consumption and latency of existing MAC protocols for wireless sensor networks (WSNs) are high in heterogeneous convergecast, where each sensor node generates different amounts of data in one convergecast operation. To solve this problem, we present W-MAC, a workload-aware MAC protocol for heterogeneous convergecast in WSNs. A subtree-based iterative cascading scheduling mechanism and a workload-aware time slice allocation mechanism are proposed to minimize the power consumption of nodes, while offering a low data latency. In addition, an efficient schedule adjustment mechanism is provided for adapting to data traffic variation and network topology change. Analytical and simulation results show that the proposed protocol provides a significant energy saving and latency reduction in heterogeneous convergecast, and can effectively support data aggregation to further improve the performance. PMID:22163753
Ariza, Ferran; Kalra, Dipak; Potts, Henry Ww
2015-11-20
Clinical information systems in the National Health Service do not need to conform to any explicit usability requirements. Poor usability can increase the mental workload experienced by clinicians and cause fatigue, increase error rates and impact the overall patient safety. Mental workload can be used as a measure of usability. To assess the subjective cognitive workload experienced by general practitioners (GPs) with their systems. To raise awareness of the importance of usability in system design among users, designers, developers and policymakers. We used a modified version of the NASA Task Load Index, adapted for web. We developed a set of common clinical scenarios and computer tasks on an online survey. We emailed the study link to 199 clinical commissioning groups and 1,646 GP practices in England. Sixty-seven responders completed the survey. The respondents had spent an average of 17 years in general practice, had experience of using a mean of 1.5 GP computer systems and had used their current system for a mean time of 6.7 years. The mental workload score was not different among systems. There were significant differences among the task scores, but these differences were not specific to particular systems. The overall score and task scores were related to the length of experience with their present system. Four tasks imposed a higher mental workload on GPs: 'repeat prescribing', 'find episode', 'drug management' and 'overview records'. Further usability studies on GP systems should focus on these tasks. Users, policymakers, designers and developers should remain aware of the importance of usability in system design.What does this study add?• Current GP systems in England do not need to conform to explicit usability requirements. Poor usability can increase the mental workload of clinicians and lead to errors.• Some clinical computer tasks incur more cognitive workload than others and should be considered carefully during the design of a system.• GPs did not report overall very high levels of subjective cognitive workload when undertaking common clinical tasks with their systems.• Further usability studies on GP systems should focus on the tasks incurring higher cognitive workload.• Users, policymakers, and designers and developers should remain aware of the importance of usability in system design.
High Performance Visualization using Query-Driven Visualizationand Analytics
DOE Office of Scientific and Technical Information (OSTI.GOV)
Bethel, E. Wes; Campbell, Scott; Dart, Eli
2006-06-15
Query-driven visualization and analytics is a unique approach for high-performance visualization that offers new capabilities for knowledge discovery and hypothesis testing. The new capabilities akin to finding needles in haystacks are the result of combining technologies from the fields of scientific visualization and scientific data management. This approach is crucial for rapid data analysis and visualization in the petascale regime. This article describes how query-driven visualization is applied to a hero-sized network traffic analysis problem.
Strategic management of health care information systems: nurse managers' perceptions.
Lammintakanen, Johanna; Kivinen, Tuula; Saranto, Kaija; Kinnunen, Juha
2009-01-01
The aim of this study is to describe nurse managers' perceptions of the strategic management of information systems in health care. Lack of strategic thinking is a typical feature in health care and this may also concern information systems. The data for this study was collected by eight focus group interviews including altogether 48 nurse managers from primary and specialised health care. Five main categories described the strategic management of information systems in health care; IT as an emphasis of strategy; lack of strategic management of information systems; the importance of management; problems in privacy protection; and costs of IT. Although IT was emphasised in the strategies of many health care organisations, a typical feature was a lack of strategic management of information systems. This was seen both as an underutilisation of IT opportunities in health care organisations and as increased workload from nurse managers' perspective. Furthermore, the nurse managers reported that implementation of IT strengthened their managerial roles but also required stronger management. In conclusion, strategic management of information systems needs to be strengthened in health care and nurse managers should be more involved in this process.
McCowan, Colin; Thomson, Elizabeth; Szmigielski, Cezary A.; Kalra, Dipak; Sullivan, Frank M.; Prokosch, Hans-Ulrich; Dugas, Martin; Ford, Ian
2015-01-01
Background. The conduct of clinical trials is increasingly challenging due to greater complexity and governance requirements as well as difficulties with recruitment and retention. Electronic Health Records for Clinical Research (EHR4CR) aims at improving the conduct of trials by using existing routinely collected data, but little is known about stakeholder views on data availability, information governance, and acceptable working practices. Methods. Senior figures in healthcare organisations across Europe were provided with a description of the project and structured interviews were subsequently conducted to elicit their views. Results. 37 structured interviewees in Germany, UK, Switzerland, and France indicated strong support for the proposed EHR4CR platform. All interviewees reported that using the platform for assessing feasibility would enhance the conduct of clinical trials and the majority also felt it would reduce workloads. Interviewees felt the platform could enhance trial recruitment and adverse event reporting but also felt it could raise either ethical or information governance concerns in their country. Conclusions. There was clear support for EHR4CR and a belief that it could reduce workloads and improve the conduct and quality of trials. However data security, privacy, and information governance issues would need to be carefully managed in the development of the platform. PMID:26539523
McCowan, Colin; Thomson, Elizabeth; Szmigielski, Cezary A; Kalra, Dipak; Sullivan, Frank M; Prokosch, Hans-Ulrich; Dugas, Martin; Ford, Ian
2015-01-01
The conduct of clinical trials is increasingly challenging due to greater complexity and governance requirements as well as difficulties with recruitment and retention. Electronic Health Records for Clinical Research (EHR4CR) aims at improving the conduct of trials by using existing routinely collected data, but little is known about stakeholder views on data availability, information governance, and acceptable working practices. Senior figures in healthcare organisations across Europe were provided with a description of the project and structured interviews were subsequently conducted to elicit their views. 37 structured interviewees in Germany, UK, Switzerland, and France indicated strong support for the proposed EHR4CR platform. All interviewees reported that using the platform for assessing feasibility would enhance the conduct of clinical trials and the majority also felt it would reduce workloads. Interviewees felt the platform could enhance trial recruitment and adverse event reporting but also felt it could raise either ethical or information governance concerns in their country. There was clear support for EHR4CR and a belief that it could reduce workloads and improve the conduct and quality of trials. However data security, privacy, and information governance issues would need to be carefully managed in the development of the platform.
MAT - MULTI-ATTRIBUTE TASK BATTERY FOR HUMAN OPERATOR WORKLOAD AND STRATEGIC BEHAVIOR RESEARCH
NASA Technical Reports Server (NTRS)
Comstock, J. R.
1994-01-01
MAT, a Multi-Attribute Task battery, gives the researcher the capability of performing multi-task workload and performance experiments. The battery provides a benchmark set of tasks for use in a wide range of laboratory studies of operator performance and workload. MAT incorporates tasks analogous to activities that aircraft crew members perform in flight, while providing a high degree of experiment control, performance data on each subtask, and freedom to use non-pilot test subjects. The MAT battery primary display is composed of four separate task windows which are as follows: a monitoring task window which includes gauges and warning lights, a tracking task window for the demands of manual control, a communication task window to simulate air traffic control communications, and a resource management task window which permits maintaining target levels on a fuel management task. In addition, a scheduling task window gives the researcher information about future task demands. The battery also provides the option of manual or automated control of tasks. The task generates performance data for each subtask. The task battery may be paused and onscreen workload rating scales presented to the subject. The MAT battery was designed to use a serially linked second computer to generate the voice messages for the Communications task. The MATREMX program and support files, which are included in the MAT package, were designed to work with the Heath Voice Card (Model HV-2000, available through the Heath Company, Benton Harbor, Michigan 49022); however, the MATREMX program and support files may easily be modified to work with other voice synthesizer or digitizer cards. The MAT battery task computer may also be used independent of the voice computer if no computer synthesized voice messages are desired or if some other method of presenting auditory messages is devised. MAT is written in QuickBasic and assembly language for IBM PC series and compatible computers running MS-DOS. The code in MAT is written for Microsoft QuickBasic 4.5 and Microsoft Macro Assembler 5.1. This package requires a joystick and EGA or VGA color graphics. An 80286, 386, or 486 processor machine is highly recommended. The standard distribution medium for MAT is a 5.25 inch 360K MS-DOS format diskette. The files are compressed using the PKZIP file compression utility. PKUNZIP is included on the distribution diskette. MAT was developed in 1992. IBM PC is a registered trademark of International Business Machines. MS-DOS, Microsoft QuickBasic, and Microsoft Macro Assembler are registered trademarks of Microsoft Corporation. PKZIP and PKUNZIP are registered trademarks of PKWare, Inc.
Implementation of a model of emergency care in an Australian hospital.
Millichamp, Tracey; Bakon, Shannon; Christensen, Martin; Stock, Kate; Howarth, Sarah
2017-11-10
Emergency departments are characterised by a fast-paced, quick turnover and high acuity workload, therefore appropriate staffing is vital to ensure positive patient outcomes. Models of care are frameworks in which safe and effective patient-to-nurse ratios can be ensured. The aim of this study was to implement a supportive and transparent model of emergency nursing care that provides structure - regardless of nursing staff profile, business or other demands; improvement to nursing workloads; and promotes individual responsibility and accountability for patient care. A convergent parallel mixed-method approach was used. Quantitative data were analysed using descriptive statistics and the qualitative data used a thematic analysis to identify recurrent themes. Data post-implementation of the model of emergency nursing care indicate improved staff satisfaction in relation to workload, patient care and support structures. The development and implementation of a model of care in an emergency department improved staff workload and staff's perception of their ability to provide care. ©2017 RCN Publishing Company Ltd. All rights reserved. Not to be copied, transmitted or recorded in any way, in whole or part, without prior permission of the publishers.
Science Goal Monitor: Science Goal Driven Automation for NASA Missions
NASA Technical Reports Server (NTRS)
Koratkar, Anuradha; Grosvenor, Sandy; Jung, John; Pell, Melissa; Matusow, David; Bailyn, Charles
2004-01-01
Infusion of automation technologies into NASA s future missions will be essential because of the need to: (1) effectively handle an exponentially increasing volume of scientific data, (2) successfully meet dynamic, opportunistic scientific goals and objectives, and (3) substantially reduce mission operations staff and costs. While much effort has gone into automating routine spacecraft operations to reduce human workload and hence costs, applying intelligent automation to the science side, i.e., science data acquisition, data analysis and reactions to that data analysis in a timely and still scientifically valid manner, has been relatively under-emphasized. In order to introduce science driven automation in missions, we must be able to: capture and interpret the science goals of observing programs, represent those goals in machine interpretable language; and allow spacecrafts onboard systems to autonomously react to the scientist's goals. In short, we must teach our platforms to dynamically understand, recognize, and react to the scientists goals. The Science Goal Monitor (SGM) project at NASA Goddard Space Flight Center is a prototype software tool being developed to determine the best strategies for implementing science goal driven automation in missions. The tools being developed in SGM improve the ability to monitor and react to the changing status of scientific events. The SGM system enables scientists to specify what to look for and how to react in descriptive rather than technical terms. The system monitors streams of science data to identify occurrences of key events previously specified by the scientist. When an event occurs, the system autonomously coordinates the execution of the scientist s desired reactions. Through SGM, we will improve om understanding about the capabilities needed onboard for success, develop metrics to understand the potential increase in science returns, and develop an operational prototype so that the perceived risks associated with increased use of automation can be reduced.
An investigation of the 'von Restorff' phenomenon in post-test workload ratings
NASA Technical Reports Server (NTRS)
Thornton, D. C.
1985-01-01
The von Restorff effect in post-task ratings of task difficulty is examined. Nine subjects performed a hovercraft simulation task which combined elements of skill-based tracking and rule- and knowledge-based process control for five days of one hour sessions. The effects of isolated increases in workload on rating of task performance, and on the number of command errors and river band hits are analyzed. It is observed that the position of the workload increase affects the number of bank hits and command errors. The data reveal that factors not directly related to the task performance influence subjective rating, and post-task ratings of workload are biased.
Centralized Data Management in a Multicountry, Multisite Population-based Study.
Rahman, Qazi Sadeq-ur; Islam, Mohammad Shahidul; Hossain, Belal; Hossain, Tanvir; Connor, Nicholas E; Jaman, Md Jahiduj; Rahman, Md Mahmudur; Ahmed, A S M Nawshad Uddin; Ahmed, Imran; Ali, Murtaza; Moin, Syed Mamun Ibne; Mullany, Luke; Saha, Samir K; El Arifeen, Shams
2016-05-01
A centralized data management system was developed for data collection and processing for the Aetiology of Neonatal Infection in South Asia (ANISA) study. ANISA is a longitudinal cohort study involving neonatal infection surveillance and etiology detection in multiple sites in South Asia. The primary goal of designing such a system was to collect and store data from different sites in a standardized way to pool the data for analysis. We designed the data management system centrally and implemented it to enable data entry at individual sites. This system uses validation rules and audit that reduce errors. The study sites employ a dual data entry method to minimize keystroke errors. They upload collected data weekly to a central server via internet to create a pooled central database. Any inconsistent data identified in the central database are flagged and corrected after discussion with the relevant site. The ANISA Data Coordination Centre in Dhaka provides technical support for operations, maintenance and updating the data management system centrally. Password-protected login identifications and audit trails are maintained for the management system to ensure the integrity and safety of stored data. Centralized management of the ANISA database helps to use common data capture forms (DCFs), adapted to site-specific contextual requirements. DCFs and data entry interfaces allow on-site data entry. This reduces the workload as DCFs do not need to be shipped to a single location for entry. It also improves data quality as all collected data from ANISA goes through the same quality check and cleaning process.
What's skill got to do with it? Vehicle automation and driver mental workload.
Young, M S; Stanton, N A
2007-08-01
Previous research has found that vehicle automation systems can reduce driver mental workload, with implications for attentional resources that can be detrimental to performance. The present paper considers how the development of automaticity within the driving task may influence performance in underload situations. Driver skill and vehicle automation were manipulated in a driving simulator, with four levels of each variable. Mental workload was assessed using a secondary task measure and eye movements were recorded to infer attentional capacity. The effects of automation on driver mental workload were quite robust across skill levels, but the most intriguing findings were from the eye movement data. It was found that, with little exception, attentional capacity and mental workload were directly related at all levels of driver skill, consistent with earlier studies. The results are discussed with reference to applied theories of cognition and the design of automation.
Predictors of nursing workload in elderly patients admitted to intensive care units.
Sousa, Cleber Ricardo de; Gonçalves, Leilane Andrade; Toffoleto, Maria Cecília; Leão, Karine; Padilha, Kátia Grillo
2008-01-01
The age of patients is a controversial issue in admission to intensive care unit (ICU). The aim of this study was to compare severity and nursing workload of elderly patients with 60-69, 70-79, and e"80 years of age and to identify predictors of nursing workload in elderly patients. A cross sectional study was performed with a sample of 71 elderly patients admitted to three ICU in the city of Sao Paulo, Brazil from October to November 2004. Data were prospectively collected using Nursing Activities Score (NAS) and Simplified Acute Physiology Score II (SAPS II). There was no significant difference in nursing workload among the elderly patients age subgroups (p=0.84). Multiple regression analysis indicated that the independent risk factors of high nursing workload were severity, age e"70 years, and to be a surgical ICU patient. Age as an isolated factor should not be discriminative for elderly patients admission to ICU.
Eye Tracking Metrics for Workload Estimation in Flight Deck Operation
NASA Technical Reports Server (NTRS)
Ellis, Kyle; Schnell, Thomas
2010-01-01
Flight decks of the future are being enhanced through improved avionics that adapt to both aircraft and operator state. Eye tracking allows for non-invasive analysis of pilot eye movements, from which a set of metrics can be derived to effectively and reliably characterize workload. This research identifies eye tracking metrics that correlate to aircraft automation conditions, and identifies the correlation of pilot workload to the same automation conditions. Saccade length was used as an indirect index of pilot workload: Pilots in the fully automated condition were observed to have on average, larger saccadic movements in contrast to the guidance and manual flight conditions. The data set itself also provides a general model of human eye movement behavior and so ostensibly visual attention distribution in the cockpit for approach to land tasks with various levels of automation, by means of the same metrics used for workload algorithm development.
Human factors of advanced technology (glass cockpit) transport aircraft
NASA Technical Reports Server (NTRS)
Wiener, Earl L.
1989-01-01
A three-year study of airline crews at two U.S. airlines who were flying an advanced technology aircraft, the Boeing 757 is discussed. The opinions and experiences of these pilots as they view the advanced, automated features of this aircraft, and contrast them with previous models they have flown are discussed. Training for advanced automation; (2) cockpit errors and error reduction; (3) management of cockpit workload; and (4) general attitudes toward cockpit automation are emphasized. The limitations of the air traffic control (ATC) system on the ability to utilize the advanced features of the new aircraft are discussed. In general the pilots are enthusiastic about flying an advanced technology aircraft, but they express mixed feelings about the impact of automation on workload, crew errors, and ability to manage the flight.
Strayer, David L; Cooper, Joel M; Turrill, Jonna; Coleman, James R; Hopman, Rachel J
2017-06-01
The goal of this research was to examine the impact of voice-based interactions using 3 different intelligent personal assistants (Apple's Siri , Google's Google Now for Android phones, and Microsoft's Cortana ) on the cognitive workload of the driver. In 2 experiments using an instrumented vehicle on suburban roadways, we measured the cognitive workload of drivers when they used the voice-based features of each smartphone to place a call, select music, or send text messages. Cognitive workload was derived from primary task performance through video analysis, secondary-task performance using the Detection Response Task (DRT), and subjective mental workload. We found that workload was significantly higher than that measured in the single-task drive. There were also systematic differences between the smartphones: The Google system placed lower cognitive demands on the driver than the Apple and Microsoft systems, which did not differ. Video analysis revealed that the difference in mental workload between the smartphones was associated with the number of system errors, the time to complete an action, and the complexity and intuitiveness of the devices. Finally, surprisingly high levels of cognitive workload were observed when drivers were interacting with the devices: "on-task" workload measures did not systematically differ from that associated with a mentally demanding Operation Span (OSPAN) task. The analysis also found residual costs associated using each of the smartphones that took a significant time to dissipate. The data suggest that caution is warranted in the use of smartphone voice-based technology in the vehicle because of the high levels of cognitive workload associated with these interactions. (PsycINFO Database Record (c) 2017 APA, all rights reserved).
NASA TLA workload analysis support. Volume 2: Metering and spacing studies validation data
NASA Technical Reports Server (NTRS)
Sundstrom, J. L.
1980-01-01
Four sets of graphic reports--one for each of the metering and spacing scenarios--are presented. The complete data file from which the reports were generated is also given. The data was used to validate the detail task of both the pilot and copilot for four metering and spacing scenarios. The output presents two measures of demand workload and a report showing task length and task interaction.
Timeline Analysis Program (TLA-1)
NASA Technical Reports Server (NTRS)
Miller, K. H.
1976-01-01
The Timeline Analysis Program (TLA-1) was described. This program is a crew workload analysis computer program that was developed and expanded from previous workload analysis programs, and is designed to be used on the NASA terminal controlled vehicle program. The following information is described: derivation of the input data, processing of the data, and form of the output data. Eight scenarios that were created, programmed, and analyzed as verification of this model were also described.
DIRAC3 - the new generation of the LHCb grid software
NASA Astrophysics Data System (ADS)
Tsaregorodtsev, A.; Brook, N.; Casajus Ramo, A.; Charpentier, Ph; Closier, J.; Cowan, G.; Graciani Diaz, R.; Lanciotti, E.; Mathe, Z.; Nandakumar, R.; Paterson, S.; Romanovsky, V.; Santinelli, R.; Sapunov, M.; Smith, A. C.; Seco Miguelez, M.; Zhelezov, A.
2010-04-01
DIRAC, the LHCb community Grid solution, was considerably reengineered in order to meet all the requirements for processing the data coming from the LHCb experiment. It is covering all the tasks starting with raw data transportation from the experiment area to the grid storage, data processing up to the final user analysis. The reengineered DIRAC3 version of the system includes a fully grid security compliant framework for building service oriented distributed systems; complete Pilot Job framework for creating efficient workload management systems; several subsystems to manage high level operations like data production and distribution management. The user interfaces of the DIRAC3 system providing rich command line and scripting tools are complemented by a full-featured Web portal providing users with a secure access to all the details of the system status and ongoing activities. We will present an overview of the DIRAC3 architecture, new innovative features and the achieved performance. Extending DIRAC3 to manage computing resources beyond the WLCG grid will be discussed. Experience with using DIRAC3 by other user communities than LHCb and in other application domains than High Energy Physics will be shown to demonstrate the general-purpose nature of the system.
2009-01-01
Background In recent years, the genome biology community has expended considerable effort to confront the challenges of managing heterogeneous data in a structured and organized way and developed laboratory information management systems (LIMS) for both raw and processed data. On the other hand, electronic notebooks were developed to record and manage scientific data, and facilitate data-sharing. Software which enables both, management of large datasets and digital recording of laboratory procedures would serve a real need in laboratories using medium and high-throughput techniques. Results We have developed iLAP (Laboratory data management, Analysis, and Protocol development), a workflow-driven information management system specifically designed to create and manage experimental protocols, and to analyze and share laboratory data. The system combines experimental protocol development, wizard-based data acquisition, and high-throughput data analysis into a single, integrated system. We demonstrate the power and the flexibility of the platform using a microscopy case study based on a combinatorial multiple fluorescence in situ hybridization (m-FISH) protocol and 3D-image reconstruction. iLAP is freely available under the open source license AGPL from http://genome.tugraz.at/iLAP/. Conclusion iLAP is a flexible and versatile information management system, which has the potential to close the gap between electronic notebooks and LIMS and can therefore be of great value for a broad scientific community. PMID:19941647
Heavy vehicle driver workload assessment. Task 6, baseline data study
DOT National Transportation Integrated Search
This report covers the sixth in a series of tasks involving the assessment of driver workload in heavy vehicle operation associated with in-cab devices or systems. A review of the overall study was provided by Tijerina, Kantowitz, Kiger, and Rockwell...
Ontology-Driven Provenance Management in eScience: An Application in Parasite Research
NASA Astrophysics Data System (ADS)
Sahoo, Satya S.; Weatherly, D. Brent; Mutharaju, Raghava; Anantharam, Pramod; Sheth, Amit; Tarleton, Rick L.
Provenance, from the French word "provenir", describes the lineage or history of a data entity. Provenance is critical information in scientific applications to verify experiment process, validate data quality and associate trust values with scientific results. Current industrial scale eScience projects require an end-to-end provenance management infrastructure. This infrastructure needs to be underpinned by formal semantics to enable analysis of large scale provenance information by software applications. Further, effective analysis of provenance information requires well-defined query mechanisms to support complex queries over large datasets. This paper introduces an ontology-driven provenance management infrastructure for biology experiment data, as part of the Semantic Problem Solving Environment (SPSE) for Trypanosoma cruzi (T.cruzi). This provenance infrastructure, called T.cruzi Provenance Management System (PMS), is underpinned by (a) a domain-specific provenance ontology called Parasite Experiment ontology, (b) specialized query operators for provenance analysis, and (c) a provenance query engine. The query engine uses a novel optimization technique based on materialized views called materialized provenance views (MPV) to scale with increasing data size and query complexity. This comprehensive ontology-driven provenance infrastructure not only allows effective tracking and management of ongoing experiments in the Tarleton Research Group at the Center for Tropical and Emerging Global Diseases (CTEGD), but also enables researchers to retrieve the complete provenance information of scientific results for publication in literature.
Cockpit resources management and the theory of the situation
NASA Technical Reports Server (NTRS)
Bolman, L.
1984-01-01
The cockpit resource management (CRM) and hypothetical cockpit situations are discussed. Four different conditions which influence pilot action are outlined: (1) wrong assumptions about a situation; (2) stress and workload; (3) frustration and delays to cause risk taking; and (4) ambigious incomplete or contradicting information. Human factors and behavior, and pilot communication and management in the simulator are outlined.
Hannula, Manne; Huttunen, Kerttu; Koskelo, Jukka; Laitinen, Tomi; Leino, Tuomo
2008-01-01
In this study, the performances of artificial neural network (ANN) analysis and multilinear regression (MLR) model-based estimation of heart rate were compared in an evaluation of individual cognitive workload. The data comprised electrocardiography (ECG) measurements and an evaluation of cognitive load that induces psychophysiological stress (PPS), collected from 14 interceptor fighter pilots during complex simulated F/A-18 Hornet air battles. In our data, the mean absolute error of the ANN estimate was 11.4 as a visual analog scale score, being 13-23% better than the mean absolute error of the MLR model in the estimation of cognitive workload.
A metadata-driven approach to data repository design.
Harvey, Matthew J; McLean, Andrew; Rzepa, Henry S
2017-01-01
The design and use of a metadata-driven data repository for research data management is described. Metadata is collected automatically during the submission process whenever possible and is registered with DataCite in accordance with their current metadata schema, in exchange for a persistent digital object identifier. Two examples of data preview are illustrated, including the demonstration of a method for integration with commercial software that confers rich domain-specific data analytics without introducing customisation into the repository itself.
Subjective scaling of mental workload in a multi-task environment
NASA Technical Reports Server (NTRS)
Daryanian, B.
1982-01-01
Those factors in a multi-task environment that contribute to the operators' "sense" of mental workload were identified. The subjective judgment as conscious experience of mental effort was decided to be the appropriate method of measurement. Thurstone's law of comparative judgment was employed in order to construct interval scales of subjective mental workload from paired comparisons data. An experimental paradigm (Simulated Multi-Task Decision-Making Environment) was employed to represent the ideal experimentally controlled environment in which human operators were asked to "attend" to different cases of Tulga's decision making tasks. Through various statistical analyses it was found that, in general, a lower number of tasks-to-be-processed per unit time (a condition associated with longer interarrival times), results in a lower mental workload, a higher consistency of judgments within a subject, a higher degree of agreement among the subjects, and larger distances between the cases on the Thurstone scale of subjective mental workload. The effects of various control variables and their interactions, and the different characteristics of the subjects on the variation of subjective mental workload are demonstrated.
Holden, Richard J.; Patel, Neal R.; Scanlon, Matthew C.; Shalaby, Theresa M.; Arnold, Judi M.; Karsh, Ben-Tzion
2009-01-01
Background Pharmacy workload is a modifiable work system factor believed to affect both medication safety outcomes and employee outcomes such as job satisfaction. Objectives This study sought to measure the effect of workload on safety and employee outcomes in two pediatric hospitals and to do so using a novel approach to pharmacy workload measurement. Methods Rather than measuring prescription volume or other similar indicators, this study measured the type and intensity of mental demands experienced during the medication dispensing tasks. The effects of external (interruptions, divided attention, rushing) and internal (concentration, effort) task demands on perceived medication error likelihood, adverse drug event likelihood, job dissatisfaction, and burnout were statistically estimated using multiple linear and logistic regression. Results Pharmacists and pharmacy technicians reported high levels of external and internal mental demands during dispensing. The study supported the hypothesis that external demands (interruptions, divided attention, rushing) negatively impacted medication safety and employee well being outcomes. However, as hypothesized, increasing levels of internal demands (concentration and effort) were not associated with greater perceived likelihood of error, adverse drug events, or burnout, and even had a positive effect on job satisfaction. Conclusion Replicating a prior study in nursing, this study shows that new conceptualizations and measures of workload can generate important new findings about both detrimental and beneficial effects of workload on patient safety and employee well being. This study discusses what those findings imply for policy, management, and design concerning automation, cognition, and staffing. PMID:21111387
Holden, Richard J; Patel, Neal R; Scanlon, Matthew C; Shalaby, Theresa M; Arnold, Judi M; Karsh, Ben-Tzion
2010-12-01
Pharmacy workload is a modifiable work system factor believed to affect both medication safety outcomes and employee outcomes, such as job satisfaction. This study sought to measure the effect of workload on safety and employee outcomes in 2 pediatric hospitals and to do so using a novel approach to pharmacy workload measurement. Rather than measuring prescription volume or other similar indicators, this study measured the type and intensity of mental demands experienced during the medication dispensing tasks. The effects of external (interruptions, divided attention, and rushing) and internal (concentration and effort) task demands on perceived medication error likelihood, adverse drug event likelihood, job dissatisfaction, and burnout were statistically estimated using multiple linear and logistic regression. Pharmacists and pharmacy technicians reported high levels of external and internal mental demands during dispensing. The study supported the hypothesis that external demands (interruptions, divided attention, and rushing) negatively impacted medication safety and employee well-being outcomes. However, as hypothesized, increasing levels of internal demands (concentration and effort) were not associated with greater perceived likelihood of error, adverse drug events, or burnout and even had a positive effect on job satisfaction. Replicating a prior study in nursing, this study shows that new conceptualizations and measures of workload can generate important new findings about both detrimental and beneficial effects of workload on patient safety and employee well-being. This study discusses what those findings imply for policy, management, and design concerning automation, cognition, and staffing. Copyright © 2010 Elsevier Inc. All rights reserved.
Aricò, Pietro; Borghini, Gianluca; Di Flumeri, Gianluca; Colosimo, Alfredo; Bonelli, Stefano; Golfetti, Alessia; Pozzi, Simone; Imbert, Jean-Paul; Granger, Géraud; Benhacene, Raïlane; Babiloni, Fabio
2016-01-01
Adaptive Automation (AA) is a promising approach to keep the task workload demand within appropriate levels in order to avoid both the under - and over-load conditions, hence enhancing the overall performance and safety of the human-machine system. The main issue on the use of AA is how to trigger the AA solutions without affecting the operative task. In this regard, passive Brain-Computer Interface (pBCI) systems are a good candidate to activate automation, since they are able to gather information about the covert behavior (e.g., mental workload) of a subject by analyzing its neurophysiological signals (i.e., brain activity), and without interfering with the ongoing operational activity. We proposed a pBCI system able to trigger AA solutions integrated in a realistic Air Traffic Management (ATM) research simulator developed and hosted at ENAC (É cole Nationale de l'Aviation Civile of Toulouse, France). Twelve Air Traffic Controller (ATCO) students have been involved in the experiment and they have been asked to perform ATM scenarios with and without the support of the AA solutions. Results demonstrated the effectiveness of the proposed pBCI system, since it enabled the AA mostly during the high-demanding conditions (i.e., overload situations) inducing a reduction of the mental workload under which the ATCOs were operating. On the contrary, as desired, the AA was not activated when workload level was under the threshold, to prevent too low demanding conditions that could bring the operator's workload level toward potentially dangerous conditions of underload.
Aricò, Pietro; Borghini, Gianluca; Di Flumeri, Gianluca; Colosimo, Alfredo; Bonelli, Stefano; Golfetti, Alessia; Pozzi, Simone; Imbert, Jean-Paul; Granger, Géraud; Benhacene, Raïlane; Babiloni, Fabio
2016-01-01
Adaptive Automation (AA) is a promising approach to keep the task workload demand within appropriate levels in order to avoid both the under- and over-load conditions, hence enhancing the overall performance and safety of the human-machine system. The main issue on the use of AA is how to trigger the AA solutions without affecting the operative task. In this regard, passive Brain-Computer Interface (pBCI) systems are a good candidate to activate automation, since they are able to gather information about the covert behavior (e.g., mental workload) of a subject by analyzing its neurophysiological signals (i.e., brain activity), and without interfering with the ongoing operational activity. We proposed a pBCI system able to trigger AA solutions integrated in a realistic Air Traffic Management (ATM) research simulator developed and hosted at ENAC (École Nationale de l'Aviation Civile of Toulouse, France). Twelve Air Traffic Controller (ATCO) students have been involved in the experiment and they have been asked to perform ATM scenarios with and without the support of the AA solutions. Results demonstrated the effectiveness of the proposed pBCI system, since it enabled the AA mostly during the high-demanding conditions (i.e., overload situations) inducing a reduction of the mental workload under which the ATCOs were operating. On the contrary, as desired, the AA was not activated when workload level was under the threshold, to prevent too low demanding conditions that could bring the operator's workload level toward potentially dangerous conditions of underload. PMID:27833542
Prottengeier, Johannes; Petzoldt, Marlen; Jess, Nikola; Moritz, Andreas; Gall, Christine; Schmidt, Joachim; Breuer, Georg
2016-03-01
Dual-tasking, the need to divide attention between concurrent tasks, causes a severe increase in workload in emergency situations and yet there is no standardised training simulation scenario for this key difficulty. We introduced and validated a quantifiable source of divided attention and investigated its effects on performance and workload in airway management. A randomised, crossover, interventional simulation study. Center for Training and Simulation, Department of Anaesthesiology, Erlangen University Hospital, Germany. One hundred and fifty volunteer medical students, paramedics and anaesthesiologists of all levels of training. Participants secured the airway of a manikin using a supraglottic airway, conventional endotracheal intubation and video-assisted endotracheal intubation with and without the Paced Auditory Serial Addition Test (PASAT), which served as a quantifiable source of divided attention. Primary endpoint was the time for the completion of each airway task. Secondary endpoints were the number of procedural mistakes made and the perceived workload as measured by the National Aeronautics and Space Administration's task load index (NASA-TLX). This is a six-dimensional questionnaire, which assesses the perception of demands, performance and frustration with respect to a task on a scale of 0 to 100. All 150 participants completed the tests. Volunteers perceived our test to be challenging (99%) and the experience of stress and distraction true to an emergency situation (80%), but still fair (98%) and entertaining (95%). The negative effects of divided attention were reproducible in participants of all levels of expertise. Time consumption and perceived workload increased and almost half the participants make procedural mistakes under divided attention. The supraglottic airway technique was least affected by divided attention. The scenario was effective for simulation training involving divided attention in acute care medicine. The significant effects on performance and perceived workload demonstrate the validity of the model, which was also characterised by high acceptability, technical simplicity and a novel degree of standardisation.
SITE TECHNOLOGY CAPSULE: GIS\\KEY ENVIRONMENTAL DATA MANAGEMENT SYSTEM
GIS/Key™ is a comprehensive environmental database management system that integrates site data and graphics, enabling the user to create geologic cross-sections; boring logs; potentiometric, isopleth, and structure maps; summary tables; and hydrographs. GIS/Key™ is menu-driven an...
NASA Technical Reports Server (NTRS)
Ranaudo, Richard J.; Martos, Borja; Norton, Bill W.; Gingras, David R.; Barnhart, Billy P.; Ratvasky, Thomas P.; Morelli, Eugene
2011-01-01
The utility of the Icing Contamination Envelope Protection (ICEPro) system for mitigating a potentially hazardous icing condition was evaluated by 29 pilots using the NASA Ice Contamination Effects Flight Training Device (ICEFTD). ICEPro provides real time envelope protection cues and alerting messages on pilot displays. The pilots participating in this test were divided into two groups; a control group using baseline displays without ICEPro, and an experimental group using ICEPro driven display cueing. Each group flew identical precision approach and missed approach procedures with a simulated failure case icing condition. Pilot performance, workload, and survey questionnaires were collected for both groups of pilots. Results showed that real time assessment cues were effective in reducing the number of potentially hazardous upset events and in lessening exposure to loss of control following an incipient upset condition. Pilot workload with the added ICEPro displays was not measurably affected, but pilot opinion surveys showed that real time cueing greatly improved their situation awareness of a hazardous aircraft state.
Jones, Gareth J; Vanderpump, Mark P J; Easton, Mark; Baker, Daryll M; Ball, Carol; Leenane, Michael; O'Brien, Heather; Turner, Nigel; Else, Martin; Reid, Wendy M N; Johnson, Margaret
2004-01-01
This paper describes the strategy which achieved European Working Time Directive (EWTD) compliance at the Royal Free Hampstead NHS Trust in medicine and surgery. Compliance with EWTD regulations was assessed by diary card exercise, clinical care assessed through critical incident reports, electronic handover documents and nursing reports, training opportunities assessed by unit training directors, cost controls assessed by finance department analysis, and workload assessed by staff attendance on wards, in casualty and in theatres. There was a change in focus of care to a consultant-led, specialist registrar- (SpR-)driven service extending into evenings and on weekends, coupled with a move to a multi-skilled team for night cover, and to a move from traditional on-call shifts to a full shift system across both medicine and surgery. Compliance with the EWTD was achieved whilst maintaining good standards of clinical care, ensuring training opportunities for doctors in training, controlling payroll costs, removing the need for locums, and reducing workload for both junior doctors and consultants.
1992-12-30
34 Family Policy," December 30, 1988 o / (b) DoD Directive 4001.1, "Installation Management ,, September 4, 1986 (c) DoD 4165.63-M, "DoD Housing Management ... managing the competing demands of the military mission and the family . They shall provide the information and family services necessary to support single...effectiveness of Family Centers. The evaluation system shall include: (1) A management information report to allow Family Centers to reflect actual workloads
ERIC Educational Resources Information Center
Johnson, Adam W.
2016-01-01
As a growing entity within higher education organizational structures, enrollment managers (EMs) are primarily tasked with projecting, recruiting, and retaining the student population of their campuses. Enrollment managers are expected by institutional presidents as well as through industry standards to make data-driven planning decisions to reach…
ERIC Educational Resources Information Center
Johnson, Adam W.
2013-01-01
As a growing entity within higher education organizational structures, enrollment managers (EMs) are primarily tasked with projecting, recruiting, and retaining the student population of their campuses. Enrollment managers are expected by institutional presidents as well as through industry standards to make data-driven planning decisions to reach…
Hendrickson, S A; Khan, M A; Verjee, L S; Rahman, K M A; Simmons, J; Hettiaratchy, S P
2016-07-01
The introduction of major trauma centres (MTCs) in England has led to 63% reduction in trauma mortality.(1) The role of plastic surgeons supporting these centres has not been quantified previously. This study aimed to quantify plastic surgical workload at an urban MTC to determine the contribution of plastic surgeons to major trauma care. All Trauma Audit and Research Network (TARN)-recorded major trauma patients who presented to an urban MTC in 2013 and underwent an operation were identified retrospectively. Patients who underwent plastic surgery were identified and the type and date of procedure(s) were recorded. The trauma operative workload data of another tertiary surgical specialty and local historical plastics workload data from pre-MTC go-live were collected for comparison. Of the 416 major trauma patients who required surgical intervention, 29% (n = 122) underwent plastic surgery. Of these patients, 43% had open lower limb fractures, necessitating plastic surgical involvement according to British Orthopaedic Association Standards for Trauma (BOAST) 4 guidance. The overall plastic surgery operative workload increased sevenfold post-MTC go-live. A similar proportion of the same cohort required neurosurgery (n = 115; p = 0.589). This study quantifies plastic surgery involvement in major trauma and demonstrates that plastic surgical operative workload is at least on par with other tertiary surgical specialties. It also reports one centre's experience of a significant change in plastic surgery activity following designation of MTC status. The quantity of plastic surgical operative workload in major trauma must be considered when planning major trauma service design and workforce provision, and for plastic surgical postgraduate training. Copyright © 2016 British Association of Plastic, Reconstructive and Aesthetic Surgeons. Published by Elsevier Ltd. All rights reserved.
Measuring the Effect of Management on Performance: A Modern Biblical Paradigm
DOE Office of Scientific and Technical Information (OSTI.GOV)
Corcoran, W.R.
1999-11-14
The ability to measure the effect of management on performance enables higher management and regulators to prescribe measures to ensure that actual management practices are compatible with results important to stakeholders. The principal stakeholders of higher management are the owners, and the principal stakeholders of the regulators are the public. Extended shutdowns and confirmatory action letters over the past decade or so at Cook, Millstone, Zion, Haddam Neck, Clinton, South Texas, Calvert Cliffs, Pilgrim, and other stations strongly suggest that neither higher management nor regulators have a firm grasp of the measurement of the effect of management on performance. Effortsmore » in the past have focused on attributes of effective management rather than data. For example, the U.S. Nuclear Regulatory Commission uses Appendix B, and the Institute of Nuclear Power Operations uses its ''Excellence in Human Performance'' among other guidance. In both cases, assessment focuses on the observation of what is going on in an organization and comparing it with the criteria. In this paper, the emphasis is on data, not attributes. The data of concern here are results (consequences, events, precursors). The biblical paradigm is that a good tree bears good fruit. It does not take a botanist to tell that the apples are firm and tasty. ''Not everything that counts can be counted, and not everything that can be counted counts'' is a popular defense of attribute-driven assessment. The validity of attribute-driven assessment is not disputed, but this paper explores data-driven assessment that is becoming more practical as information technology advances rapidly. This paper does not address a complete management effect measurement system but only explores one aspect of such a system. The aspect chosen is regulatory violation performance.« less
Multicore job scheduling in the Worldwide LHC Computing Grid
NASA Astrophysics Data System (ADS)
Forti, A.; Pérez-Calero Yzquierdo, A.; Hartmann, T.; Alef, M.; Lahiff, A.; Templon, J.; Dal Pra, S.; Gila, M.; Skipsey, S.; Acosta-Silva, C.; Filipcic, A.; Walker, R.; Walker, C. J.; Traynor, D.; Gadrat, S.
2015-12-01
After the successful first run of the LHC, data taking is scheduled to restart in Summer 2015 with experimental conditions leading to increased data volumes and event complexity. In order to process the data generated in such scenario and exploit the multicore architectures of current CPUs, the LHC experiments have developed parallelized software for data reconstruction and simulation. However, a good fraction of their computing effort is still expected to be executed as single-core tasks. Therefore, jobs with diverse resources requirements will be distributed across the Worldwide LHC Computing Grid (WLCG), making workload scheduling a complex problem in itself. In response to this challenge, the WLCG Multicore Deployment Task Force has been created in order to coordinate the joint effort from experiments and WLCG sites. The main objective is to ensure the convergence of approaches from the different LHC Virtual Organizations (VOs) to make the best use of the shared resources in order to satisfy their new computing needs, minimizing any inefficiency originated from the scheduling mechanisms, and without imposing unnecessary complexities in the way sites manage their resources. This paper describes the activities and progress of the Task Force related to the aforementioned topics, including experiences from key sites on how to best use different batch system technologies, the evolution of workload submission tools by the experiments and the knowledge gained from scale tests of the different proposed job submission strategies.
Quantitative assessment of workload and stressors in clinical radiation oncology.
Mazur, Lukasz M; Mosaly, Prithima R; Jackson, Marianne; Chang, Sha X; Burkhardt, Katharin Deschesne; Adams, Robert D; Jones, Ellen L; Hoyle, Lesley; Xu, Jing; Rockwell, John; Marks, Lawrence B
2012-08-01
Workload level and sources of stressors have been implicated as sources of error in multiple settings. We assessed workload levels and sources of stressors among radiation oncology professionals. Furthermore, we explored the potential association between workload and the frequency of reported radiotherapy incidents by the World Health Organization (WHO). Data collection was aimed at various tasks performed by 21 study participants from different radiation oncology professional subgroups (simulation therapists, radiation therapists, physicists, dosimetrists, and physicians). Workload was assessed using National Aeronautics and Space Administration Task-Load Index (NASA TLX). Sources of stressors were quantified using observational methods and segregated using a standard taxonomy. Comparisons between professional subgroups and tasks were made using analysis of variance ANOVA, multivariate ANOVA, and Duncan test. An association between workload levels (NASA TLX) and the frequency of radiotherapy incidents (WHO incidents) was explored (Pearson correlation test). A total of 173 workload assessments were obtained. Overall, simulation therapists had relatively low workloads (NASA TLX range, 30-36), and physicists had relatively high workloads (NASA TLX range, 51-63). NASA TLX scores for physicians, radiation therapists, and dosimetrists ranged from 40-52. There was marked intertask/professional subgroup variation (P<.0001). Mental demand (P<.001), physical demand (P=.001), and effort (P=.006) significantly differed among professional subgroups. Typically, there were 3-5 stressors per cycle of analyzed tasks with the following distribution: interruptions (41.4%), time factors (17%), technical factors (13.6%), teamwork issues (11.6%), patient factors (9.0%), and environmental factors (7.4%). A positive association between workload and frequency of reported radiotherapy incidents by the WHO was found (r = 0.87, P value=.045). Workload level and sources of stressors vary among professional subgroups. Understanding the factors that influence these findings can guide adjustments to the workflow procedures, physical layout, and/or communication protocols to enhance safety. Additional evaluations are needed in order to better understand if these findings are systemic. Copyright © 2012 Elsevier Inc. All rights reserved.
Quantitative Assessment of Workload and Stressors in Clinical Radiation Oncology
DOE Office of Scientific and Technical Information (OSTI.GOV)
Mazur, Lukasz M., E-mail: lukasz_mazur@ncsu.edu; Industrial Extension Service, North Carolina State University, Raleigh, North Carolina; Biomedical Engineering, North Carolina State University, Raleigh, North Carolina
2012-08-01
Purpose: Workload level and sources of stressors have been implicated as sources of error in multiple settings. We assessed workload levels and sources of stressors among radiation oncology professionals. Furthermore, we explored the potential association between workload and the frequency of reported radiotherapy incidents by the World Health Organization (WHO). Methods and Materials: Data collection was aimed at various tasks performed by 21 study participants from different radiation oncology professional subgroups (simulation therapists, radiation therapists, physicists, dosimetrists, and physicians). Workload was assessed using National Aeronautics and Space Administration Task-Load Index (NASA TLX). Sources of stressors were quantified using observational methodsmore » and segregated using a standard taxonomy. Comparisons between professional subgroups and tasks were made using analysis of variance ANOVA, multivariate ANOVA, and Duncan test. An association between workload levels (NASA TLX) and the frequency of radiotherapy incidents (WHO incidents) was explored (Pearson correlation test). Results: A total of 173 workload assessments were obtained. Overall, simulation therapists had relatively low workloads (NASA TLX range, 30-36), and physicists had relatively high workloads (NASA TLX range, 51-63). NASA TLX scores for physicians, radiation therapists, and dosimetrists ranged from 40-52. There was marked intertask/professional subgroup variation (P<.0001). Mental demand (P<.001), physical demand (P=.001), and effort (P=.006) significantly differed among professional subgroups. Typically, there were 3-5 stressors per cycle of analyzed tasks with the following distribution: interruptions (41.4%), time factors (17%), technical factors (13.6%), teamwork issues (11.6%), patient factors (9.0%), and environmental factors (7.4%). A positive association between workload and frequency of reported radiotherapy incidents by the WHO was found (r = 0.87, P value=.045). Conclusions: Workload level and sources of stressors vary among professional subgroups. Understanding the factors that influence these findings can guide adjustments to the workflow procedures, physical layout, and/or communication protocols to enhance safety. Additional evaluations are needed in order to better understand if these findings are systemic.« less
The acute:chonic workload ratio in relation to injury risk in professional soccer.
Malone, Shane; Owen, Adam; Newton, Matt; Mendes, Bruno; Collins, Kieran D; Gabbett, Tim J
2017-06-01
To examine the association between combined sRPE measures and injury risk in elite professional soccer. Observational cohort study. Forty-eight professional soccer players (mean±SD age of 25.3±3.1 yr) from two elite European teams were involved within a one season study. Players completed a test of intermittent-aerobic capacity (Yo-YoIR1) to assess player's injury risk in relation to intermittent aerobic capacity. Weekly workload measures and time loss injuries were recorded during the entire period. Rolling weekly sums and week-to-week changes in workload were measured, allowing for the calculation of the acute:chronic workload ratio, which was calculated by dividing the acute (1-weekly) and chronic (4-weekly) workloads. All derived workload measures were modelled against injury data using logistic regression. Odds ratios (OR) were reported against a reference group. Players who exerted pre-season 1-weekly loads of ≥1500 to ≤2120AU were at significantly higher risk of injury compared to the reference group of ≤1500AU (OR=1.95, p=0.006). Players with increased intermittent-aerobic capacity were better able to tolerate increased 1-weekly absolute changes in training load than players with lower fitness levels (OR=4.52, p=0.011). Players who exerted in-season acute:chronic workload ratios of >1.00 to <1.25 (OR=0.68, p=0.006) were at significantly lower risk of injury compared to the reference group (≤0.85). These findings demonstrate that an acute:chronic workload of between 1.00 and 1.25 is protective for professional soccer players. A higher intermittent-aerobic capacity appears to offer greater injury protection when players are exposed to rapid changes in workload in elite soccer players. Moderate workloads, coupled with moderate-low to moderate-high acute:chronic workload ratios, appear to be protective for professional soccer players. Copyright © 2016 Sports Medicine Australia. Published by Elsevier Ltd. All rights reserved.
Desktop system for accounting, audit, and research in A&E.
Taylor, C J; Brain, S G; Bull, F; Crosby, A C; Ferguson, D G
1997-01-01
The development of a database for audit, research, and accounting in accident and emergency (A&E) is described. The system uses a desktop computer, an optical scanner, sophisticated optical mark reader software, and workload management data. The system is highly flexible, easy to use, and at a cost of around 16,000 pounds affordable for larger departments wishing to move towards accounting. For smaller departments, it may be an alternative to full computerisation. Images Figure 1 Figure 2 Figure 3 Figure 5 Figure 6 PMID:9132200
Monitoring Workload in Throwing-Dominant Sports: A Systematic Review.
Black, Georgia M; Gabbett, Tim J; Cole, Michael H; Naughton, Geraldine
2016-10-01
The ability to monitor training load accurately in professional sports is proving vital for athlete preparedness and injury prevention. While numerous monitoring techniques have been developed to assess the running demands of many team sports, these methods are not well suited to throwing-dominant sports that are infrequently linked to high running volumes. Therefore, other techniques are required to monitor the differing demands of these sports to ensure athletes are adequately prepared for competition. To investigate the different methodologies used to quantitatively monitor training load in throwing-dominant sports. A systematic review of the methods used to monitor training load in throwing-dominant sports was conducted using variations of terms that described different load-monitoring techniques and different sports. Studies included in this review were published prior to June 2015 and were identified through a systematic search of four electronic databases including Academic Search Complete, CINAHL, Medline and SPORTDiscus. Only full-length peer-reviewed articles investigating workload monitoring in throwing-dominant sports were selected for review. A total of 8098 studies were initially retrieved from the four databases and 7334 results were removed as they were either duplicates, review articles, non-peer-reviewed articles, conference abstracts or articles written in languages other than English. After screening the titles and abstracts of the remaining papers, 28 full-text papers were reviewed, resulting in the identification of 20 articles meeting the inclusion criteria for monitoring workloads in throwing-dominant sports. Reference lists of selected articles were then scanned to identify other potential articles, which yielded one additional article. Ten articles investigated workload monitoring in cricket, while baseball provided eight results, and handball, softball and water polo each contributed one article. Results demonstrated varying techniques used to monitor workload and purposes for monitoring workload, encompassing the relationship between workload and injury, individual responses to workloads, the effect of workload on subsequent performance and the future directions of workload-monitoring techniques. This systematic review highlighted a number of simple and effective workload-monitoring techniques implemented across a variety of throwing-dominant sports. The current literature placed an emphasis on the relationship between workload and injury. However, due to differences in chronological and training age, inconsistent injury definitions and time frames used for monitoring, injury thresholds remain unclear in throwing-dominant sports. Furthermore, although research has examined total workload, the intensity of workload is often neglected. Additional research on the reliability of self-reported workload data is also required to validate existing relationships between workload and injury. Considering the existing disparity within the literature, it is likely that throwing-dominant sports would benefit from the development of an automated monitoring tool to objectively assess throwing-related workloads in conjunction with well-established internal measures of load in athletes.
Griffiths, Karin Lindgren; Mackey, Martin G; Adamson, Barbara J
2011-12-01
The purpose of this study was to identify and compare individual behavioral and psychophysiological responses to workload demands and stressors associated with the reporting of musculoskeletal symptoms with computer work. Evidence is growing that the prevalence of musculoskeletal symptoms increases with longer hours of computer work and exposure to psychosocial stressors such as high workloads and unrealistic deadlines. Workstyle, or how an individual worker behaves in response to such work demands, may also be an important factor associated with musculoskeletal symptoms in computer operators. Approximately 8,000 employees of the Australian Public Service were invited to complete an on-line survey if they worked with a computer for 15 or more hours per week. The survey was a composite of three questionnaires: the ASSET to measure perceived organizational stressors, Nordic Musculoskeletal Questionnaire to measure reported prevalence of musculoskeletal symptoms and additional questions to measure individual work behaviors and responses. 934 completed surveys were accepted for analyses. Logistic regression was used to identify significant behavioral and work response predictors of musculoskeletal symptoms. Reporting of heightened muscle tension in response to workload pressure was more strongly associated, than other physical behavioral factors, with musculoskeletal symptoms for all body areas, particularly the neck (OR = 2.50, 95% CI: 2.09-2.99). Individual workstyles in response to workload demands and stressors, including working with heightened muscle tension and mental fatigue, were significantly associated with musculoskeletal symptoms. Future risk management strategies should have a greater focus on the identification and management of those organizational factors that are likely to encourage and exacerbate adverse workstyles.
Emergency nursing workload and patient dependency in the ambulance bay: A prospective study.
Varndell, Wayne; Ryan, Elizabeth; Jeffers, Alison; Marquez-Hunt, Nadya
2016-11-01
The purpose of this prospective observational study was to characterise patients occupying the ambulance bay and to determine the ensuing nursing workload. The number of patients presenting to ED by ambulance is increasing. During periods of peak demand and access block in the ED, patients with ongoing care needs, requiring continual assessment and symptom management by emergency nurses can remain in the ambulance bay for extended periods of time. The profile of these patients and on the related nursing workload is not well known. A prospective observational study design based upon a convenience sample of patients was conducted over a randomly selected four-week period. Nursing workload was assessing using the Jones Dependency Tool. A modified Work Observation Method By Activity Timing technique was used to estimate direct nursing care time. Of 4068 presentations to ED, 640 (16%) occupied the ambulance bay following triage, of which the majority (n=408; 64%) had arrived by ambulance. Of those occupying the ambulance bay 205 (32%) were evaluated using the JDT. The majority of patients had potentially life-threatening symptoms (ATS 3, n=424; 66%), were moderately dependent (n=134; 65%), and consumed approximately 152.1h of direct nursing care time. A large proportion of direct nursing care time was spent on patient reassessment (60.4h) and pain management (29.6h). Patients occupying the ambulance bay had an average ED length of stay of 5.6h (4.6h), of which 1.8h (SD 1.8h) was spent delayed in the ambulance bay. Early detailed assessment and symptom management of patients occupying the ambulance bay is extensively undertaken by emergency nurses. The frequency and number of patients off-loaded into non-clinical areas is not currently monitored or reported upon. This study has demonstrated that patients managed in the ambulance bay consume large amounts of nursing resources, commonly require acute level care and hospital admission. Copyright © 2016 College of Emergency Nursing Australasia. Published by Elsevier Ltd. All rights reserved.
Mazerolle, Stephanie M.; Eason, Christianne M.; Goodman, Ashley
2016-01-01
Context: Over the last few decades, the National Collegiate Athletics Association (NCAA) has made changes related to the increase in sanctioned team activities during summer athletics. These changes may affect how athletic training services are provided. Objective: To investigate the methods by which athletic training departments of NCAA institutions manage expectations regarding athletic training services during the summer. Design: Mixed-methods qualitative and quantitative study. Setting: The NCAA Division I. Patients or Other Participants: Twenty-two athletic trainers (13 men, 9 women) participated. All were employed full time within the NCAA Division I setting. Participants were 35 ± 8 years of age (range, 26−52 years), with 12 ± 7 years (range, 3−29 years) of athletic training experience. Data Collection and Analysis: All participants completed a series of questions online that consisted of closed- (demographic and Likert-scale 5-point) and open-ended items that addressed the research questions. Descriptive statistics, frequency distributions, and phenomenologic analyses were completed with the data. Peer review and multiple-analyst triangulation established credibility. Results: Summer athletic training services included 3 primary mechanisms: individual medical care, shared medical care, or a combination of the 2. Participants reported working 40 ± 10 hours during the summer. Likert-item analysis showed that participants were moderately satisfied with their summer medical care structure (3.3 ± 1.0) and with the flexibility of summer schedules (3.0 ± 1.2). Yet the qualitative analysis revealed that perceptions of summer medical care were more positive for shared-care participants than for individual- or combination-care participants. The perceived effect on the athletic trainer included increased workload and expectations and a negative influence on work-life balance, particularly in terms of decreased schedule flexibility and opportunities for rejuvenation. For many, the summer season mimicked the hours, workload, and expectations of the nontraditional season. Conclusions: The NCAA rule changes and medical care expectations affected the summer workload of athletic trainers, but job sharing seemed to help them manage conflict associated with providing summer athletic training services. PMID:26881869
Xiao, Fuyuan; Aritsugi, Masayoshi; Wang, Qing; Zhang, Rong
2016-09-01
For efficient and sophisticated analysis of complex event patterns that appear in streams of big data from health care information systems and support for decision-making, a triaxial hierarchical model is proposed in this paper. Our triaxial hierarchical model is developed by focusing on hierarchies among nested event pattern queries with an event concept hierarchy, thereby allowing us to identify the relationships among the expressions and sub-expressions of the queries extensively. We devise a cost-based heuristic by means of the triaxial hierarchical model to find an optimised query execution plan in terms of the costs of both the operators and the communications between them. According to the triaxial hierarchical model, we can also calculate how to reuse the results of the common sub-expressions in multiple queries. By integrating the optimised query execution plan with the reuse schemes, a multi-query optimisation strategy is developed to accomplish efficient processing of multiple nested event pattern queries. We present empirical studies in which the performance of multi-query optimisation strategy was examined under various stream input rates and workloads. Specifically, the workloads of pattern queries can be used for supporting monitoring patients' conditions. On the other hand, experiments with varying input rates of streams can correspond to changes of the numbers of patients that a system should manage, whereas burst input rates can correspond to changes of rushes of patients to be taken care of. The experimental results have shown that, in Workload 1, our proposal can improve about 4 and 2 times throughput comparing with the relative works, respectively; in Workload 2, our proposal can improve about 3 and 2 times throughput comparing with the relative works, respectively; in Workload 3, our proposal can improve about 6 times throughput comparing with the relative work. The experimental results demonstrated that our proposal was able to process complex queries efficiently which can support health information systems and further decision-making. Copyright © 2016 Elsevier B.V. All rights reserved.
User-driven product data manager system design
DOE Office of Scientific and Technical Information (OSTI.GOV)
NONE
1995-03-01
With the infusion of information technologies into product development and production processes, effective management of product data is becoming essential to modern production enterprises. When an enterprise-wide Product Data Manager (PDM) is implemented, PDM designers must satisfy the requirements of individual users with different job functions and requirements, as well as the requirements of the enterprise as a whole. Concern must also be shown for the interrelationships between information, methods for retrieving archival information and integration of the PDM into the product development process. This paper describes a user-driven approach applied to PDM design for an agile manufacturing pilot projectmore » at Sandia National Laboratories that has been successful in achieving a much faster design-to-production process for a precision electro mechanical surety device.« less
Effects of digital altimetry on pilot workload
NASA Technical Reports Server (NTRS)
Harris, R. L., Sr.; Glover, B. J.
1985-01-01
A series of VOR-DME instrument landing approaches was flown in the DC-9 full-workload simulator to compare pilot performance, scan behavior, and workload when using a computer-drum-pointer altimeter (CDPA) and a digital altimeter (DA). Six pilots executed two sets of instrument landing approaches, with a CDPA on one set and a DA on the other set. Pilot scanning parameters, flight performance, and subjective opinion data were evaluated. It is found that the processes of gathering information from the CDPA and the DA are different. The DA requires a higher mental workload than the CDPA for a VOR-DME type landing approach. Mental processing of altitude information after transitioning back to the attitude indicator is more evident with the DA than with the CDPA.
Prediction of Nursing Workload in Hospital.
Fiebig, Madlen; Hunstein, Dirk; Bartholomeyczik, Sabine
2018-01-01
A dissertation project at the Witten/Herdecke University [1] is investigating which (nursing sensitive) patient characteristics are suitable for predicting a higher or lower degree of nursing workload. For this research project four predictive modelling methods were selected. In a first step, SUPPORT VECTOR MACHINE, RANDOM FOREST, and GRADIENT BOOSTING were used to identify potential predictors from the nursing sensitive patient characteristics. The results were compared via FEATURE IMPORTANCE. To predict nursing workload the predictors identified in step 1 were modelled using MULTINOMIAL LOGISTIC REGRESSION. First results from the data mining process will be presented. A prognostic determination of nursing workload can be used not only as a basis for human resource planning in hospital, but also to respond to health policy issues.
GIS\\KEY™ ENVIRONMENTAL DATA MANAGEMENT SYSTEM - INNOVATIVE TECHNOLOGY EVALUATION REPORT
GIS/Key™ is a comprehensive environmental database management system that integrates site data and graphics, enabling the user to create geologic cross-sections; boring logs; potentiometric, isopleth, and structure maps; summary tables; and hydrographs. GIS/Key™ is menu-driven an...
AnaBench: a Web/CORBA-based workbench for biomolecular sequence analysis
Badidi, Elarbi; De Sousa, Cristina; Lang, B Franz; Burger, Gertraud
2003-01-01
Background Sequence data analyses such as gene identification, structure modeling or phylogenetic tree inference involve a variety of bioinformatics software tools. Due to the heterogeneity of bioinformatics tools in usage and data requirements, scientists spend much effort on technical issues including data format, storage and management of input and output, and memorization of numerous parameters and multi-step analysis procedures. Results In this paper, we present the design and implementation of AnaBench, an interactive, Web-based bioinformatics Analysis workBench allowing streamlined data analysis. Our philosophy was to minimize the technical effort not only for the scientist who uses this environment to analyze data, but also for the administrator who manages and maintains the workbench. With new bioinformatics tools published daily, AnaBench permits easy incorporation of additional tools. This flexibility is achieved by employing a three-tier distributed architecture and recent technologies including CORBA middleware, Java, JDBC, and JSP. A CORBA server permits transparent access to a workbench management database, which stores information about the users, their data, as well as the description of all bioinformatics applications that can be launched from the workbench. Conclusion AnaBench is an efficient and intuitive interactive bioinformatics environment, which offers scientists application-driven, data-driven and protocol-driven analysis approaches. The prototype of AnaBench, managed by a team at the Université de Montréal, is accessible on-line at: . Please contact the authors for details about setting up a local-network AnaBench site elsewhere. PMID:14678565
NASA Technical Reports Server (NTRS)
Williams, Henry P.; Tham, Mingpo; Wickens, Christopher D.
1993-01-01
NASA's Aviation Safety Reporting System (ASRS) incident reports are reviewed in two related areas: pilots' failures to appropriately manage tasks, and breakdowns in geographic orientation. Examination of 51 relevant reports on task management breakdowns revealed that altitude busts and inappropriate runway usee were the most frequently reported consequences. Task management breakdowns appeared to occur at all levels of expertise, and prominent causal factors were related to breakdowns in crew communications, over-involvement with the flight management system and, for small (general aviation) aircraft, preoccupation with weather. Analysis of the 83 cases of geographic disorientation suggested that these too occurred at all levels of pilot experience. With regard to causal factors, a majority was related to poor cockpit resource management, in which inattention led to a loss of geographic awareness. Other leading causes were related to poor weather and poor decision making. The potential of the ASRS database for contributing to research and design issues is addressed.
UAS Integration Into the NAS: An Examination of Baseline Compliance in the Current Airspace System
NASA Technical Reports Server (NTRS)
Fern, Lisa; Kenny, Caitlin A.; Shively, Robert J.; Johnson, Walter
2012-01-01
As a result of the FAA Modernization and Reform Act of 2012, Unmanned Aerial Systems (UAS) are expected to be integrated into the National Airspace System (NAS) by 2015. Several human factors challenges need to be addressed before UAS can safely and routinely fly in the NAS with manned aircraft. Perhaps the most significant challenge is for the UAS to be non-disruptive to the air traffic management system. Another human factors challenge is how to provide UAS pilots with intuitive traffic information in order to support situation awareness (SA) of their airspace environment as well as a see-and-avoid capability comparable to manned aircraft so that a UAS pilot could safely maneuver the aircraft to maintain separation and collision avoidance if necessary. A simulation experiment was conducted to examine baseline compliance of UAS operations in the current airspace system. Researchers also examined the effects of introducing a Cockpit Situation Display (CSD) into a UAS Ground Control Station (GCS) on UAS pilot performance, workload and situation awareness while flying in a positively controlled sector. Pilots were tasked with conducting a highway patrol police mission with a Medium Altitude Long Endurance (MALE) UAS in L.A. Center airspace with two mission objectives: 1) to reroute the UAS when issued new instructions from their commander, and 2) to communicate with Air Traffic Control (ATC) to negotiate flight plan changes and respond to vectoring and altitude change instructions. Objective aircraft separation data, workload ratings, SA data, and subjective ratings regarding UAS operations in the NAS were collected. Results indicate that UAS pilots were able to comply appropriately with ATC instructions. In addition, the introduction of the CSD improved pilot SA and reduced workload associated with UAS and ATC interactions.
Dexter, Franklin; Rosenberg, Henry; Epstein, Richard H; Semo, Judith Jurin; Litman, Ronald S
2015-08-01
Recently, we analyzed data from the American Society of Anesthesiologist's (ASA) Anesthesia Quality Institute (AQI) to report the United States (U.S.) anesthesia workload by time of day and day of the week. The AQI data were reported using the Central Time zone. Times for the N = 613 calls to the Malignant Hyperthermia Association of the United States (MHAUS) Malignant Hyperthermia (MH) Hotline from August 1, 2012, through March 7, 2014, were adjusted similarly. The MH Hotline effectively provides at all times to each anesthesia group an additional board-certified anesthesiologist who has expertise in managing, diagnosing, and/or preventing MH crises. We compared the timing of calls with the MH Hotline consultants relative to times of most anesthesia workload nationally. The interval 6:30 AM to 6:30 PM Central Time on regular workdays accounted for most (P < 0.0001) calls to the MH Hotline (62.5% ± 2.0% [mean ± standard error]). However, the interval accounted for significantly less than the 82.2% of anesthesia minutes and 84.5% of general anesthesia minutes during that interval nationally (both P < 0.0001). Thus, most calls to the MH Hotline occurred when anesthesia groups nationwide were the busiest. Weekends accounted for 15.3% ± 1.5% of MH Hotline calls, significantly greater than the rates of 5.2% of anesthesia minutes and 4.3% of general anesthesia minutes during weekends nationally (both P < 0.0001). Thus, the MH Hotline was used proportionately more often when anesthesia providers have fewer colleagues present and available for consultation (all P < 0.0001). These findings may be expected of other (future) national support centers for anesthesia.
Workshop on Workload and Training, and Examination of their Interactions: Executive summary
NASA Technical Reports Server (NTRS)
Donchin, Emanuel; Hart, Sandra G.; Hartzell, Earl J.
1987-01-01
The goal of the workshop was to bring together experts in the fields of workload and training and representatives from the Dept. of Defense and industrial organizations who are reponsible for specifying, building, and managing advanced, complex systems. The challenging environments and requirements imposed by military helicopter missions and space station operations were presented as the focus for the panel discussions. The workshop permitted a detailed examination of the theoretical foundations of the fields of training and workload, as well as their practical applications. Furthermore, it created a forum where government, industry, and academic experts were able to examine each other's concepts, values, and goals. The discussions pointed out the necessity for a more efficient and effective flow of information among the groups respresented. The executive summary describes the rationale of the meeting, summarizes the primary points of discussion, and lists the participants and some of their summary comments.
Work load and management in the delivery room: changing the direction of healthcare policy.
Sfregola, Gianfranco; Laganà, Antonio Simone; Granese, Roberta; Sfregola, Pamela; Lopinto, Angela; Triolo, Onofrio
2017-02-01
Nurse staffing, increased workload and unstable nursing unit environments are linked to negative patient outcomes including falls and medication errors on medical/surgical units. Considering this evidence, the aim of our study was to overview midwives' workload and work setting. We created a questionnaire and performed an online survey. We obtained information about the type and level of hospital, workload, the use of standardised procedures, reporting of sentinel and 'near-miss' events. We reported a severe understaffing in midwives' work settings and important underuse of standard protocols according to the international guidelines, especially in the South of Italy. Based on our results, we strongly suggest a change of direction of healthcare policy, oriented to increase the number of employed midwives, in order to let them fulfil their duties according to the international guidelines (especially one-to-one care). On the other hand, we encourage the adoption of standardised protocols in each work setting.
Sriram, Vinay K; Montgomery, Doug
2017-07-01
The Internet is subject to attacks due to vulnerabilities in its routing protocols. One proposed approach to attain greater security is to cryptographically protect network reachability announcements exchanged between Border Gateway Protocol (BGP) routers. This study proposes and evaluates the performance and efficiency of various optimization algorithms for validation of digitally signed BGP updates. In particular, this investigation focuses on the BGPSEC (BGP with SECurity extensions) protocol, currently under consideration for standardization in the Internet Engineering Task Force. We analyze three basic BGPSEC update processing algorithms: Unoptimized, Cache Common Segments (CCS) optimization, and Best Path Only (BPO) optimization. We further propose and study cache management schemes to be used in conjunction with the CCS and BPO algorithms. The performance metrics used in the analyses are: (1) routing table convergence time after BGPSEC peering reset or router reboot events and (2) peak-second signature verification workload. Both analytical modeling and detailed trace-driven simulation were performed. Results show that the BPO algorithm is 330% to 628% faster than the unoptimized algorithm for routing table convergence in a typical Internet core-facing provider edge router.
Facilitating Primary Head Teacher Succession in England: The Role of the School Business Manager
ERIC Educational Resources Information Center
Woods, Charlotte; Armstrong, Paul; Pearson, Diana
2012-01-01
School leadership is significant for student learning, but increased workload and complexity are believed to be in part responsible for the difficulties internationally in managing succession, with experienced leaders leaving the profession prematurely and potential future leaders reluctant to take on the role. This article draws on a national…
Federal Register 2010, 2011, 2012, 2013, 2014
2013-05-06
... XV, ``Improving FDA Performance Management,'' subsection B, which was reauthorized by the Food and Drug Administration Safety and Innovation Act (FDASIA) of 2012. The assessment will be conducted by an... Division of Dockets Management (HFA- 305), Food and Drug Administration, 5630 Fishers Lane, rm. 1061...
U.S. Navy Shipyards. An Evaluation of Workload- and Workforce-Management Practices
2008-01-01
7 million man-hours (875,000 man-days). 2 Note that the Bradley Fighting Vehicle is maintained by the Red River Army Depot in Texarkana , Texas...and Workforce-Management Practices 103 The Red River Army Depot in Texarkana , Texas, supports the Bradley Fighting Vehicle as well as the Multiple
van Steenbergen, Elianne F; Kluwer, Esther S; Karney, Benjamin R
2011-06-01
Stress, on average, is bad for relationships. Yet stress at work is not always associated with negative relationship outcomes. The premise of the current study was that associations between workload and trajectories of marital satisfaction depend on circumstances that may constrain or facilitate partners' ability to negotiate their multiple roles. We hypothesized that the covariance between changes in workload and marital satisfaction over time should be moderated by (a) the extent to which spouses like their work, (b) their parental status, and (c) their gender. Analyses drawing upon eight waves of data on workload, work satisfaction, and marital satisfaction from 169 newlywed couples assessed over four years confirmed these predictions. Specifically, across couples, demands at work covaried positively with marital satisfaction for spouses who were more satisfied with their jobs. For nonparent couples, increases in husbands' workload covaried with increases in marital satisfaction for both spouses. For parent couples, however, increases in husbands' workload covaried with declines in marital satisfaction for both spouses. Unexpectedly, for parent couples, increases in wives' workload corresponded with increased marital satisfaction. Finally, consistent with predictions, wives were more affected by their husbands' workload than vice versa. Thus, tension between work and marriage is not inevitable, instead depending on circumstances that facilitate or impair performance in multiple roles. Couples, employers, and practitioners should recognize the role that external circumstances play in determining how work and marital life interact. 2011 APA, all rights reserved
The state of UK anaesthesia: a survey of National Health Service activity in 2013.
Sury, M R J; Palmer, J H M G; Cook, T M; Pandit, J J
2014-10-01
Details of current UK anaesthetic practice are unknown and were needed for interpretation of reports of accidental awareness during general anaesthesia (GA) within the 5th National Audit Project. We surveyed NHS anaesthetic activity to determine numbers of patients managed by anaesthetists and details of 'who, when, what, and where': activity included GA, local anaesthesia, sedation, or patients managed awake. Anaesthetists in NHS hospitals collected data on all patients for 2 days. Scaling enabled estimation of annual activity. Hospital response rate was 100% with 20,400 returns. The median return rate within departments was 98% (inter-quartile range 0.95-1). Annual numbers (% of total) of general anaesthetics, sedation, and awake cases were 2,766,600 (76.9%), 308,800 (8.6%), and 523,100 (14.5%), respectively. A consultant or career grade anaesthetist was present in more than 87% of cases. Emergency cases accounted for 23.1% of workload, 75% of which were undertaken out of hours. Specialties with the largest workload were orthopaedics/trauma (22.1%), general surgery (16.1%), and gynaecology (9.6%): 6.2% of cases were non-surgical. The survey data describe: who anaesthetized patients according to time of day, urgency, and ASA grade; when anaesthesia took place by day and by weekday; the distribution of patient types, techniques, and monitoring; where patients were anaesthetized. Nine patients out of 15 460 receiving GA died intraoperatively. Anaesthesia in the UK is currently predominantly a consultant-delivered service. The low mortality rate supports the safety of UK anaesthetic care. The survey data should be valuable for planning and monitoring anaesthesia services. © The Author 2014. Published by Oxford University Press on behalf of the British Journal of Anaesthesia. All rights reserved. For Permissions, please email: journals.permissions@oup.com.
Genitourinary Surgical Workload at Deployed U.S. Facilities in Iraq and Afghanistan, 2002-2016.
Turner, Caryn A; Orman, Jean A; Stockinger, Zsolt T; Hudak, Steven J
2018-06-13
Genitourinary surgery constitutes approximately 1.15% of procedures performed for combat injuries. During forward deployment, surgeons usually deploy without urology support. To better understand the training and skills maintenance needs for genitourinary procedures by describing in detail the genitourinary surgical workload during 15 years of combat operations and compare our findings with those from previously published articles. A retrospective analysis of the Department of Defense Trauma Registry (DoDTR) was performed for all Roles 2 and 3 medical treatment facilities in Iraq and Afghanistan, from January 2002 to May 2016. The 177 ICD-9-CM procedure codes identified as genitourinary procedures were grouped into 15 anatomic categories by subject matter experts. Select groups were further subdivided by procedure types. Descriptive analyses were performed and stratified workload percentiles were calculated for the 10th, 50th, and 90th percentiles. Data analysis was performed using Stata Version 14 (College Station, TX, USA). This quality improvement project was deemed exempt from institutional review board review by the U.S. Army Institute of Surgical Research. A total of 3,963 genitourinary surgical procedures were identified, the majority occurring at Role 3 medical treatment facilities (3,512, 88.6%). The most common procedure groups were testis (20.6%), bladder (18.8%), scrotum (17.7%), and kidney (13.5%). The single most common individual procedures performed were unilateral orchiectomy (394, 9.9%), suture of laceration of scrotum and tunica vaginalis (373, 9.4%), nephroureterectomy (360, 9.1%), and other suprapubic cystostomy (268, 6.8%). Of the 77 gynecological procedures, 15 were C-sections. Genitourinary caseload per facility was low, never exceeding nine procedures per month. All deploying surgeons may be required to evaluate, stage, and surgically manage genitourinary, gynecologic, and obstetrical conditions. Surgery on the male genitalia, bladder, and kidney were the most commonly required genitourinary operative procedures in deployed facilities; therefore, non-urological surgeons should receive pre-deployment training in these techniques. The workload data from our study can be used to help guide the development of pre-deployment training to ensure military surgeons have the skills to perform the specialty procedures required while deployed.
Generic Airspace Concepts and Research
NASA Technical Reports Server (NTRS)
Mogford, Richard H.
2010-01-01
The purpose of this study was to evaluate methods for reducing the training and memorization required to manage air traffic in mid-term, Next Generation Air Transportation System (NextGen) airspace. We contrasted the performance of controllers using a sector information display and NextGen automation tools while working with familiar and unfamiliar sectors. The airspace included five sectors from Oakland and Salt Lake City Centers configured as a "generic center" called "West High Center." The Controller Information Tool was used to present essential information for managing these sectors. The Multi Aircraft Control System air traffic control simulator provided data link and conflict detection and resolution. There were five experienced air traffic controller participants. Each was familiar with one or two of the five sectors, but not the others. The participants rotated through all five sectors during the ten data collection runs. The results addressing workload, traffic management, and safety, as well as controller and observer comments, supported the generic sector concept. The unfamiliar sectors were comparable to the familiar sectors on all relevant measures.
Application of participatory ergonomics to the redesign of the family-centred rounds process.
Xie, Anping; Carayon, Pascale; Cox, Elizabeth D; Cartmill, Randi; Li, Yaqiong; Wetterneck, Tosha B; Kelly, Michelle M
2015-01-01
Participatory ergonomics (PE) can promote the application of human factors and ergonomics (HFE) principles to healthcare system redesign. This study applied a PE approach to redesigning the family-centred rounds (FCR) process to improve family engagement. Various FCR stakeholders (e.g. patients and families, physicians, nurses, hospital management) were involved in different stages of the PE process. HFE principles were integrated in both the content (e.g. shared mental model, usability, workload consideration, systems approach) and process (e.g. top management commitment, stakeholder participation, communication and feedback, learning and training, project management) of FCR redesign. We describe activities of the PE process (e.g. formation and meetings of the redesign team, data collection activities, intervention development, intervention implementation) and present data on PE process evaluation. To demonstrate the value of PE-based FCR redesign, future research should document its impact on FCR process measures (e.g. family engagement, round efficiency) and patient outcome measures (e.g. patient satisfaction).
Application of participatory ergonomics to the redesign of the family-centered rounds process
Xie, Anping; Carayon, Pascale; Cox, Elizabeth D.; Cartmill, Randi; Li, Yaqiong; Wetterneck, Tosha B.; Kelly, Michelle M.
2015-01-01
Participatory ergonomics (PE) can promote the application of human factors and ergonomics (HFE) principles to healthcare system redesign. This study applied a PE approach to redesigning the family-centered rounds (FCR) process to improve family engagement. Various FCR stakeholders (e.g., patients and families, physicians, nurses, hospital management) were involved in different stages of the PE process. HFE principles were integrated in both the content (e.g., shared mental model, usability, workload consideration, systems approach) and process (e.g., top management commitment, stakeholder participation, communication and feedback, learning and training, project management) of FCR redesign. We describe activities of the PE process (e.g., formation and meetings of the redesign team, data collection activities, intervention development, intervention implementation) and present data on PE process evaluation. To demonstrate the value of PE-based FCR redesign, future research should document its impact on FCR process measures (e.g., family engagement, round efficiency) and patient outcome measures (e.g., patient satisfaction). PMID:25777042
Professional Reward in the Academic Fieldwork Coordinator Role.
Stutz-Tanenbaum, Patricia; Greene, David; Hanson, Debra J; Koski, Jeanette
The purpose of this national survey was to explore perceptions of professional reward among occupational therapist (OT) and occupational therapy assistant (OTA) academic fieldwork coordinators (AFWCs). Agreement was found in ranking the value of six role factors: (1) fieldwork data management, (2) fieldwork site management, (3) fieldwork teaching and consultation, (4) departmental and institutional compliance, (5) scholarship and accreditation, and (6) laying groundwork for students in fieldwork. Both levels of AFWC indicated teaching and consultation had the highest value and data management the least. OT AFWCs placed significantly higher value on publishing articles and lower value on educating fieldwork educators about role delineation than OTA AFWCs. Five themes emerged regarding professional reward: (1) intrinsic reward, (2) collaboration, (3) development of the profession, (4) feeling appreciated, and (5) student success. AFWCs value activities involving personal interaction, promoting professional development, and facilitating student success. Results have implications for AFWC collaboration, workload distribution, and scholarship. Copyright © 2017 by the American Occupational Therapy Association, Inc.
Entrepreneurial stressors as predictors of entrepreneurial burnout.
Wei, Xueyan; Cang, Shuangxin; Hisrich, Robert D
2015-02-01
Research on the effects of entrepreneurial stressors is limited, especially regarding its relation to the burnout that frequently occurs in the process of starting and growing a venture. The effect of the role of entrepreneurial stressors (workload, competitive comparison, demands-of-knowledge, managing responsibility, and resource requirements) on burnout (emotional exhaustion, depersonalization, and reduced personal accomplishment) was examined in a Chinese sample of entrepreneurs. Entrepreneurial stressors emerged as a significant predictor of burnout in the process of entrepreneurship in a sample of 289 entrepreneurs (63.8% men; M age = 26.2 yr.; 39.6% of their parents have been self-employed). The findings clarify the functional relationship between entrepreneurial stressors and burnout. Entrepreneurial stressors played multiple roles. Managing responsibility was an active contributor to the sense of achievement and to emotional exhaustion. Workload was an active contributor to emotional exhaustion. Demands-of-knowledge negatively affected three of the dimensions of burnout. Theoretical and practical implications for management of the effect of these relationships are discussed.
48 CFR 847.305-70 - Potential destinations known but quantities unknown.
Code of Federal Regulations, 2010 CFR
2010-10-01
... DEPARTMENT OF VETERANS AFFAIRS CONTRACT MANAGEMENT TRANSPORTATION Transportation in Supply Contracts 847.305... must use an anticipated demand factor in proportion to the number of hospital beds or patient workload...
Evolutionary Multiobjective Query Workload Optimization of Cloud Data Warehouses
Dokeroglu, Tansel; Sert, Seyyit Alper; Cinar, Muhammet Serkan
2014-01-01
With the advent of Cloud databases, query optimizers need to find paretooptimal solutions in terms of response time and monetary cost. Our novel approach minimizes both objectives by deploying alternative virtual resources and query plans making use of the virtual resource elasticity of the Cloud. We propose an exact multiobjective branch-and-bound and a robust multiobjective genetic algorithm for the optimization of distributed data warehouse query workloads on the Cloud. In order to investigate the effectiveness of our approach, we incorporate the devised algorithms into a prototype system. Finally, through several experiments that we have conducted with different workloads and virtual resource configurations, we conclude remarkable findings of alternative deployments as well as the advantages and disadvantages of the multiobjective algorithms we propose. PMID:24892048
Matthews, R; Turner, P J; McDonald, N J; Ermolaev, K; Manus, T; Shelby, R A; Steindorf, M
2008-01-01
This paper describes a compact, lightweight and ultra-low power ambulatory wireless EEG system based upon QUASAR's innovative noninvasive bioelectric sensor technologies. The sensors operate through hair without skin preparation or conductive gels. Mechanical isolation built into the harness permits the recording of high quality EEG data during ambulation. Advanced algorithms developed for this system permit real time classification of workload during subject motion. Measurements made using the EEG system during ambulation are presented, including results for real time classification of subject workload.
NASA Technical Reports Server (NTRS)
Johnson, Walter W.; Lachter, Joel; Brandt, Summer; Koteskey, Robert; Dao, Arik-Quang; Kraut, Josh; Ligda, Sarah; Battiste, Vernol
2012-01-01
In todays terminal operations, controller workload increases and throughput decreases when fixed standard terminal arrival routes (STARs) are impacted by storms. To circumvent this operational constraint, Prete, Krozel, Mitchell, Kim and Zou (2008) proposed to use automation to dynamically adapt arrival and departure routing based on weather predictions. The present study examined this proposal in the context of a NextGen trajectory-based operation concept, focusing on the acceptability and its effect on the controllers ability to manage traffic flows. Six controllers and twelve transport pilots participated in a human-in-the-loop simulation of arrival operations into Louisville International Airport with interval management requirements. Three types of routing structures were used: Static STARs (similar to current routing, which require the trajectories of individual aircraft to be modified to avoid the weather), Dynamic routing (automated adaptive routing around weather), and Dynamic Adjusted routing (automated adaptive routing around weather with aircraft entry time adjusted to account for differences in route length). Spacing Responsibility, whether responsibility for interval management resided with the controllers (as today), or resided with the pilot (who used a flight deck based automated spacing algorithm), was also manipulated. Dynamic routing as a whole was rated superior to static routing, especially by pilots, both in terms of workload reduction and flight path safety. A downside of using dynamic routing was that the paths flown in the dynamic conditions tended to be somewhat longer than the paths flown in the static condition.
Data Science in Supply Chain Management: Data-Related Influences on Demand Planning
ERIC Educational Resources Information Center
Jin, Yao
2013-01-01
Data-driven decisions have become an important aspect of supply chain management. Demand planners are tasked with analyzing volumes of data that are being collected at a torrential pace from myriad sources in order to translate them into actionable business intelligence. In particular, demand volatilities and planning are vital for effective and…
Pham, Ha Nguyen; Protsiv, Myroslava; Larsson, Mattias; Ho, Hien Thi; de Vries, Daniel H; Thorson, Anna
2012-12-21
Like in many other low- and middle-income countries, the recent development of an HIV epidemic in Vietnam has led to a growing need for prevention, treatment, care, and support services for people living with HIV (PLHIV). This puts greater demands on the national HIV services, primarily on health workers, which increases the importance of their job satisfaction and working conditions. This study describes health worker perceptions and explores the factors that influence job satisfaction and dissatisfaction of health personnel working on the HIV response in Vietnam. Spector's job satisfaction model was used as the theoretical framework for the study design and analysis. The study employed a qualitative design with 7 focus group discussions and 15 semi-structured interviews with health workers, purposively selected from national and provincial organizations responsible for HIV services in 5 cities and provinces in Vietnam. Data were analyzed using a hybrid approach of theory-driven and data-driven coding and theme development using qualitative analysis software. HIV services are perceived by Vietnamese health workers as having both positive and negative aspects. Factors related to job satisfaction included training opportunities, social recognition, and meaningful tasks. Factors related to job dissatisfaction included unsatisfactory compensation, lack of positive feedback and support from supervisors, work-related stress from a heavy workload, fear of infection, and HIV-related stigma because of association with PLHIV. An adjusted Spector's model of job satisfaction for HIV service health workers was developed from these results. This study confirmed the relationship between stigmatization of PLHIV and stigma experienced by staff because of association with PLHIV from families, colleagues, and society. The experiencing stigma results in additional work-related stress, low self-esteem, poor views of their profession, and lower income. The study shows the importance of actions to improve staff job satisfaction such as pay raises, supportive supervision, stress management, stigma reduction and workplace safety. Immediate actions could be the provision of more information; education and communication in mass media to improve the public image of HIV services, as well as improvement of workplace safety, therefore making health workers feel that their work is valued and safe.
Ratcliffe, Temple A; Crabtree, Meghan A; Palmer, Raymond F; Pugh, Jacqueline A; Lanham, Holly J; Leykum, Luci K
2018-04-01
Attending rounds remain the primary venue for formal teaching and learning at academic medical centers. Little is known about the effect of increasing clinical demands on teaching during attending rounds. To explore the relationships among teaching time, teaching topics, clinical workload, and patient complexity variables. Observational study of medicine teaching teams from September 2008 through August 2014. Teams at two large teaching hospitals associated with a single medical school were observed for periods of 2 to 4 weeks. Twelve medicine teaching teams consisting of one attending, one second- or third-year resident, two to three interns, and two to three medical students. The study examined relationships between patient complexity (comorbidities, complications) and clinical workload variables (census, turnover) with educational measures. Teams were clustered based on clinical workload and patient complexity. Educational measures of interest were time spent teaching and number of teaching topics. Data were analyzed both at the daily observation level and across a given patient's admission. We observed 12 teams, 1994 discussions (approximately 373 h of rounds) of 563 patients over 244 observation days. Teams clustered into three groups: low patient complexity/high clinical workload, average patient complexity/low clinical workload, and high patient complexity/high clinical workload. Modest associations for team, patient complexity, and clinical workload variables were noted with total time spent teaching (9.1% of the variance in time spent teaching during a patient's admission; F[8,549] = 6.90, p < 0.001) and number of teaching topics (16% of the variance in the total number of teaching topics during a patient's admission; F[8,548] = 14.18, p < 0.001). Clinical workload and patient complexity characteristics among teams were only modestly associated with total teaching time and teaching topics.