A real-time dashboard for managing pathology processes.

PubMed

Halwani, Fawaz; Li, Wei Chen; Banerjee, Diponkar; Lessard, Lysanne; Amyot, Daniel; Michalowski, Wojtek; Giffen, Randy

2016-01-01

The Eastern Ontario Regional Laboratory Association (EORLA) is a newly established association of all the laboratory and pathology departments of Eastern Ontario that currently includes facilities from eight hospitals. All surgical specimens for EORLA are processed in one central location, the Department of Pathology and Laboratory Medicine (DPLM) at The Ottawa Hospital (TOH), where the rapid growth and influx of surgical and cytology specimens has created many challenges in ensuring the timely processing of cases and reports. Although the entire process is maintained and tracked in a clinical information system, this system lacks pre-emptive warnings that can help management address issues as they arise. Dashboard technology provides automated, real-time visual clues that could be used to alert management when a case or specimen is not being processed within predefined time frames. We describe the development of a dashboard helping pathology clinical management to make informed decisions on specimen allocation and tracking. The dashboard was designed and developed in two phases, following a prototyping approach. The first prototype of the dashboard helped monitor and manage pathology processes at the DPLM. The use of this dashboard helped to uncover operational inefficiencies and contributed to an improvement of turn-around time within The Ottawa Hospital's DPML. It also allowed the discovery of additional requirements, leading to a second prototype that provides finer-grained, real-time information about individual cases and specimens. We successfully developed a dashboard that enables managers to address delays and bottlenecks in specimen allocation and tracking. This support ensures that pathology reports are provided within time frame standards required for high-quality patient care. Given the importance of rapid diagnostics for a number of diseases, the use of real-time dashboards within pathology departments could contribute to improving the quality of patient care beyond EORLA's.

Resident dashboards: helping your clinical competency committee visualize trainees' key performance indicators.

PubMed

Friedman, Karen A; Raimo, John; Spielmann, Kelly; Chaudhry, Saima

2016-01-01

Introduction Under the Next Accreditation System, programs need to find ways to collect and assess meaningful reportable information on its residents to assist the program director regarding resident milestone progression. This paper discusses the process that one large Internal Medicine Residency Program used to provide both quantitative and qualitative data to its clinical competency committee (CCC) through the creation of a resident dashboard. Methods Program leadership at a large university-based program developed four new end of rotation evaluations based on the American Board of Internal Medicine (ABIM) and Accreditation Council of Graduated Medical Education's (ACGME) 22 reportable milestones. A resident dashboard was then created to pull together both milestone- and non-milestone-based quantitative data and qualitative data compiled from faculty, nurses, peers, staff, and patients. Results Dashboards were distributed to the members of the CCC in preparation for the semiannual CCC meeting. CCC members adjudicated quantitative and qualitative data to present their cohort of residents at the CCC meeting. Based on the committee's response, evaluation scores remained the same or were adjusted. Final milestone scores were then entered into the accreditation data system (ADS) on the ACGME website. Conclusions The process of resident assessment is complex and should comprise both quantitative and qualitative data. The dashboard is a valuable tool for program leadership to use both when evaluating house staff on a semiannual basis at the CCC and to the resident in person.

Resident dashboards: helping your clinical competency committee visualize trainees' key performance indicators.

PubMed

Friedman, Karen A; Raimo, John; Spielmann, Kelly; Chaudhry, Saima

2016-01-01

Under the Next Accreditation System, programs need to find ways to collect and assess meaningful reportable information on its residents to assist the program director regarding resident milestone progression. This paper discusses the process that one large Internal Medicine Residency Program used to provide both quantitative and qualitative data to its clinical competency committee (CCC) through the creation of a resident dashboard. Program leadership at a large university-based program developed four new end of rotation evaluations based on the American Board of Internal Medicine (ABIM) and Accreditation Council of Graduated Medical Education's (ACGME) 22 reportable milestones. A resident dashboard was then created to pull together both milestone- and non-milestone-based quantitative data and qualitative data compiled from faculty, nurses, peers, staff, and patients. Dashboards were distributed to the members of the CCC in preparation for the semiannual CCC meeting. CCC members adjudicated quantitative and qualitative data to present their cohort of residents at the CCC meeting. Based on the committee's response, evaluation scores remained the same or were adjusted. Final milestone scores were then entered into the accreditation data system (ADS) on the ACGME website. The process of resident assessment is complex and should comprise both quantitative and qualitative data. The dashboard is a valuable tool for program leadership to use both when evaluating house staff on a semiannual basis at the CCC and to the resident in person.

Integrating Strategic and Operational Decision Making Using Data-Driven Dashboards: The Case of St. Joseph Mercy Oakland Hospital.

PubMed

Jack Weiner; Balijepally, Venugopal; Tanniru, Mohan

2015-01-01

Hospitals have invested and continue to invest heavily in building information systems to support operations at various levels of administration. These systems generate a lot of data but fail to effectively convert these data into actionable information for decision makers. Such ineffectiveness often is attributed to a lack of alignment between strategic planning and information technology (IT) initiatives supporting operational goals. We present a case study that illustrates how the use of digital dashboards at St. Joseph Mercy Oakland (SJMO) Hospital in Pontiac, Michigan, was instrumental in supporting such an alignment. Driven by a focus on key performance indicators (KPIs), dashboard applications also led to other tangible and intangible benefits. An ability to track KPIs over time and against established targets, with drill-down capabilities, allowed leadership to hold staff members accountable for achieving their performance targets. By displaying the dashboards in prominent locations (such as operational unit floors, the physicians' cafeteria, and nursing stations), SJMO ushered in transparency in the planning and monitoring processes. The need to develop KPI metrics and drive data collection efforts became ingrained in the work ethos of people at every level of the organization. Although IT-enabled dashboards have been instrumental in supporting this cultural transformation, the focus of investment was the ability of technology to make collective vision and action the responsibility of all stakeholders.

Data Dashboards for School Directors: Using Data for Accountability and Student Achievement

ERIC Educational Resources Information Center

Washington State School Directors' Association (NJ1), 2008

2008-01-01

This guide is designed to inform school directors about the value of a data dashboard and to provide information on how districts can create a data dashboard for school directors. A data dashboard is a tool for viewing and analyzing student achievement and performance data. Key data for monitoring student achievement and directing policy level…

EPA Monthly Key Performance Indicator Dashboards 2017

EPA Pesticide Factsheets

Each month, the Web Analytics Program posts updated Key Performance Indicator (KPI) dashboards that correspond to three Web performance goals: content consumption, content discovery, and audience engagement.

Developing an expert panel process to refine health outcome definitions in observational data.

PubMed

Fox, Brent I; Hollingsworth, Joshua C; Gray, Michael D; Hollingsworth, Michael L; Gao, Juan; Hansen, Richard A

2013-10-01

Drug safety surveillance using observational data requires valid adverse event, or health outcome of interest (HOI) measurement. The objectives of this study were to develop a method to review HOI definitions in claims databases using (1) web-based digital tools to present de-identified patient data, (2) a systematic expert panel review process, and (3) a data collection process enabling analysis of concepts-of-interest that influence panelists' determination of HOI. De-identified patient data were presented via an interactive web-based dashboard to enable case review and determine if specific HOIs were present or absent. Criteria for determining HOIs and their severity were provided to each panelist. Using a modified Delphi method, six panelist pairs independently reviewed approximately 200 cases across each of three HOIs (acute liver injury, acute kidney injury, and acute myocardial infarction) such that panelist pairs independently reviewed the same cases. Panelists completed an assessment within the dashboard for each case that included their assessment of the presence or absence of the HOI, HOI severity (if present), and data contributing to their decision. Discrepancies within panelist pairs were resolved during a consensus process. Dashboard development was iterative, focusing on data presentation and recording panelists' assessments. Panelists reported quickly learning how to use the dashboard. The assessment module was used consistently. The dashboard was reliable, enabling an efficient review process for panelists. Modifications were made to the dashboard and review process when necessary to facilitate case review. Our methods should be applied to other health outcomes of interest to further refine the dashboard and case review process. The expert review process was effective and was supported by the web-based dashboard. Our methods for case review and classification can be applied to future methods for case identification in observational data sources. Copyright © 2013 Elsevier Inc. All rights reserved.

A mixed methods evaluation of the maternal-newborn dashboard in Ontario: dashboard attributes, contextual factors, and facilitators and barriers to use: a study protocol.

PubMed

Dunn, Sandra; Sprague, Ann E; Grimshaw, Jeremy M; Graham, Ian D; Taljaard, Monica; Fell, Deshayne; Peterson, Wendy E; Darling, Elizabeth; Harrold, JoAnn; Smith, Graeme N; Reszel, Jessica; Lanes, Andrea; Truskoski, Carolyn; Wilding, Jodi; Weiss, Deborah; Walker, Mark

2016-05-04

There are wide variations in maternal-newborn care practices and outcomes across Ontario. To help institutions and care providers learn about their own performance, the Better Outcomes Registry & Network (BORN) Ontario has implemented an audit and feedback system, the Maternal-Newborn Dashboard (MND), for all hospitals providing maternal-newborn care. The dashboard provides (1) near real-time feedback, with site-specific and peer comparison data about six key performance indicators; (2) a visual display of evidence-practice gaps related to the indicators; and (3) benchmarks to provide direction for practice change. This study aims to evaluate the effects of the dashboard, dashboard attributes, contextual factors, and facilitation/support needs that influence the use of this audit and feedback system to improve performance. The objectives of this study are to (1) evaluate the effect of implementing the dashboard across Ontario; (2) explore factors that potentially explain differences in the use of the MND among hospitals; (3) measure factors potentially associated with differential effectiveness of the MND; and (4) identify factors that predict differences in hospital performance. A mixed methods design includes (1) an interrupted time series analysis to evaluate the effect of the intervention on six indicators, (2) key informant interviews with a purposeful sample of directors/managers from up to 20 maternal-newborn care hospitals to explore factors that influence the use of the dashboard, (3) a provincial survey of obstetrical directors/managers from all maternal-newborn hospitals in the province to measure factors that influence the use of the dashboard, and (4) a multivariable generalized linear mixed effects regression analysis of the indicators at each hospital to quantitatively evaluate the change in practice following implementation of the dashboard and to identify factors most predictive of use. Study results will provide essential data to develop knowledge translation strategies for facilitating practice change, which can be further evaluated through a future cluster randomized trial.

OGC Dashboard

EPA Pesticide Factsheets

The Office of General Counsel (OGC) has an ongoing business process engineering and business process automation initiative which has helped the office reduce administrative labor costs while increasing employee effectiveness. Supporting this effort is a system of automated routines accessible through a portal' interface called OGC Dashboard. The dashboard helps OGC track work progress, legal case load, written work products such as legal briefs and advice, and scheduling processes such as employee leave plans (via calendar) and travel compensatory time off.

From Information Management to Information Visualization

PubMed Central

Karami, Mahtab

2016-01-01

Summary Objective The development and implementation of a dashboard of medical imaging department (MID) performance indicators. Method Several articles discussing performance measures of imaging departments were searched for this study. All the related measures were extracted. Then, a panel of imaging experts were asked to rate these measures with an open ended question to seek further potential indicators. A second round was performed to confirm the performance rating. The indicators and their ratings were then reviewed by an executive panel. Based on the final panel’s rating, a list of indicators to be used was developed. A team of information technology consultants were asked to determine a set of user interface requirements for the building of the dashboard. In the first round, based on the panel’s rating, a list of main features or requirements to be used was determined. Next, Qlikview was utilized to implement the dashboard to visualize a set of selected KPI metrics. Finally, an evaluation of the dashboard was performed. Results 92 MID indicators were identified. On top of this, 53 main user interface requirements to build of the prototype of dashboard were determined. Then, the project team successfully implemented a prototype of radiology management dashboards into study site. The visual display that was designed was rated highly by users. Conclusion To develop a dashboard, management of information is essential. It is recommended that a quality map be designed for the MID. It can be used to specify the sequence of activities, their related indicators and required data for calculating these indicators. To achieve both an effective dashboard and a comprehensive view of operations, it is necessary to design a data warehouse for gathering data from a variety of systems. Utilizing interoperability standards for exchanging data among different systems can be also effective in this regard. PMID:27437043

Usability Evaluation and Implementation of a Health Information Technology Dashboard of Evidence-Based Quality Indicators.

PubMed

Schall, Mark Christopher; Cullen, Laura; Pennathur, Priyadarshini; Chen, Howard; Burrell, Keith; Matthews, Grace

2017-06-01

Health information technology dashboards that integrate evidence-based quality indicators can efficiently and accurately display patient risk information to promote early intervention and improve overall quality of patient care. We describe the process of developing, evaluating, and implementing a dashboard designed to promote quality care through display of evidence-based quality indicators within an electronic health record. Clinician feedback was sought throughout the process. Usability evaluations were provided by three nurse pairs and one physician from medical-surgical areas. Task completion times, error rates, and ratings of system usability were collected to compare the use of quality indicators displayed on the dashboard to the indicators displayed in a conventional electronic health record across eight experimental scenarios. Participants rated the dashboard as "highly usable" following System Usability Scale (mean, 87.5 [SD, 9.6]) and Poststudy System Usability Questionnaire (mean, 1.7 [SD, 0.5]) criteria. Use of the dashboard led to reduced task completion times and error rates in comparison to the conventional electronic health record for quality indicator-related tasks. Clinician responses to the dashboard display capabilities were positive, and a multifaceted implementation plan has been used. Results suggest application of the dashboard in the care environment may lead to improved patient care.

A real-time dashboard for managing pathology processes

PubMed Central

Halwani, Fawaz; Li, Wei Chen; Banerjee, Diponkar; Lessard, Lysanne; Amyot, Daniel; Michalowski, Wojtek; Giffen, Randy

2016-01-01

Context: The Eastern Ontario Regional Laboratory Association (EORLA) is a newly established association of all the laboratory and pathology departments of Eastern Ontario that currently includes facilities from eight hospitals. All surgical specimens for EORLA are processed in one central location, the Department of Pathology and Laboratory Medicine (DPLM) at The Ottawa Hospital (TOH), where the rapid growth and influx of surgical and cytology specimens has created many challenges in ensuring the timely processing of cases and reports. Although the entire process is maintained and tracked in a clinical information system, this system lacks pre-emptive warnings that can help management address issues as they arise. Aims: Dashboard technology provides automated, real-time visual clues that could be used to alert management when a case or specimen is not being processed within predefined time frames. We describe the development of a dashboard helping pathology clinical management to make informed decisions on specimen allocation and tracking. Methods: The dashboard was designed and developed in two phases, following a prototyping approach. The first prototype of the dashboard helped monitor and manage pathology processes at the DPLM. Results: The use of this dashboard helped to uncover operational inefficiencies and contributed to an improvement of turn-around time within The Ottawa Hospital's DPML. It also allowed the discovery of additional requirements, leading to a second prototype that provides finer-grained, real-time information about individual cases and specimens. Conclusion: We successfully developed a dashboard that enables managers to address delays and bottlenecks in specimen allocation and tracking. This support ensures that pathology reports are provided within time frame standards required for high-quality patient care. Given the importance of rapid diagnostics for a number of diseases, the use of real-time dashboards within pathology departments could contribute to improving the quality of patient care beyond EORLA's. PMID:27217974

Student Facing Dashboards: One Size Fits All?

ERIC Educational Resources Information Center

Teasley, Stephanie D.

2017-01-01

This emerging technology report reviews a new development in educational technology, student-facing dashboards, which provide comparative performance feedback to students calculated by Learning Analytics-based algorithms on data generated from university students' use of educational technology. Instructor- and advisor-facing dashboards emerged as…

Delft Dashboard: a quick setup tool for coastal and estuarine models

NASA Astrophysics Data System (ADS)

Nederhoff, C., III; Van Dongeren, A.; Van Ormondt, M.; Veeramony, J.

2016-02-01

We developed easy-to-use Delft DashBoard (DDB) software for the rapid set-up of coastal and estuarine hydrodynamic and basic morphological numerical models. In the "Model Maker" toolbox, users have the capability to set-up Delft3D models, in a minimal amount of time (in the order of a hour), for any location in the world. DDB draws upon public internet data sources of bathymetry and tidesto construct the model. With additional toolboxes, these models can be forced with parameterized hurricane wind fields, uplift of the sea surface due to tsunamis nested in publically available ocean models and forced with meteo data (wind speed, pressure, temperature) In this presentation we will show the skill of a model which is setup with Delft Dashboard and compare it to well-calibrated benchmark models. These latter models have been set-up using detailed input data and boundary conditions. We have tested the functionality of Delft DashBoard and evaluate the performance and robustness of the DDB model system on a variety of cases, ranging from a coastal to basin models. Furthermore, we have performed a sensitivity study to investigate the most critical physical and numerical processes. The software can benefit operational modellers, as well as scientists and consultants.

Using Twitter to Identify and Respond to Food Poisoning: The Food Safety STL Project.

PubMed

Harris, Jenine K; Hawkins, Jared B; Nguyen, Leila; Nsoesie, Elaine O; Tuli, Gaurav; Mansour, Raed; Brownstein, John S

Foodborne illness affects 1 in 4 US residents each year. Few of those sickened seek medical care or report the illness to public health authorities, complicating prevention efforts. Citizens who report illness identify food establishments with more serious and critical violations than found by regular inspections. New media sources, including online restaurant reviews and social media postings, have the potential to improve reporting. We implemented a Web-based Dashboard (HealthMap Foodborne Dashboard) to identify and respond to tweets about food poisoning from St Louis City residents. This report examines the performance of the Dashboard in its first 7 months after implementation in the City of St Louis Department of Health. We examined the number of relevant tweets captured and replied to, the number of foodborne illness reports received as a result of the new process, and the results of restaurant inspections following each report. In its first 7 months (October 2015-May 2016), the Dashboard captured 193 relevant tweets. Our replies to relevant tweets resulted in more filed reports than several previously existing foodborne illness reporting mechanisms in St Louis during the same time frame. The proportion of restaurants with food safety violations was not statistically different (P = .60) in restaurants inspected after reports from the Dashboard compared with those inspected following reports through other mechanisms. The Dashboard differs from other citizen engagement mechanisms in its use of current data, allowing direct interaction with constituents on issues when relevant to the constituent to provide time-sensitive education and mobilizing information. In doing so, the Dashboard technology has potential for improving foodborne illness reporting and can be implemented in other areas to improve response to public health issues such as suicidality, spread of Zika virus infection, and hospital quality.

Prediction of Individual Serum Infliximab Concentrations in Inflammatory Bowel Disease by a Bayesian Dashboard System.

PubMed

Eser, Alexander; Primas, Christian; Reinisch, Sieglinde; Vogelsang, Harald; Novacek, Gottfried; Mould, Diane R; Reinisch, Walter

2018-01-30

Despite a robust exposure-response relationship of infliximab in inflammatory bowel disease (IBD), attempts to adjust dosing to individually predicted serum concentrations of infliximab (SICs) are lacking. Compared with labor-intensive conventional software for pharmacokinetic (PK) modeling (eg, NONMEM) dashboards are easy-to-use programs incorporating complex Bayesian statistics to determine individual pharmacokinetics. We evaluated various infliximab detection assays and the number of samples needed to precisely forecast individual SICs using a Bayesian dashboard. We assessed long-term infliximab retention in patients being dosed concordantly versus discordantly with Bayesian dashboard recommendations. Three hundred eighty-two serum samples from 117 adult IBD patients on infliximab maintenance therapy were analyzed by 3 commercially available assays. Data from each assay was modeled using NONMEM and a Bayesian dashboard. PK parameter precision and residual variability were assessed. Forecast concentrations from both systems were compared with observed concentrations. Infliximab retention was assessed by prediction for dose intensification via Bayesian dashboard versus real-life practice. Forecast precision of SICs varied between detection assays. At least 3 SICs from a reliable assay are needed for an accurate forecast. The Bayesian dashboard performed similarly to NONMEM to predict SICs. Patients dosed concordantly with Bayesian dashboard recommendations had a significantly longer median drug survival than those dosed discordantly (51.5 versus 4.6 months, P < .0001). The Bayesian dashboard helps to assess the diagnostic performance of infliximab detection assays. Three, not single, SICs provide sufficient information for individualized dose adjustment when incorporated into the Bayesian dashboard. Treatment adjusted to forecasted SICs is associated with longer drug retention of infliximab. © 2018, The American College of Clinical Pharmacology.

The Creation of a Pediatric Hospital Medicine Dashboard: Performance Assessment for Improvement.

PubMed

Fox, Lindsay Anne; Walsh, Kathleen E; Schainker, Elisabeth G

2016-07-01

Leaders of pediatric hospital medicine (PHM) recommended a clinical dashboard to monitor clinical practice and make improvements. To date, however, no programs report implementing a dashboard including the proposed broad range of metrics across multiple sites. We sought to (1) develop and populate a clinical dashboard to demonstrate productivity, quality, group sustainability, and value added for an academic division of PHM across 4 inpatient sites; (2) share dashboard data with division members and administrations to improve performance and guide program development; and (3) revise the dashboard to optimize its utility. Division members proposed a dashboard based on PHM recommendations. We assessed feasibility of data collection and defined and modified metrics to enable collection of comparable data across sites. We gathered data and shared the results with division members and administrations. We collected quarterly and annual data from October 2011 to September 2013. We found comparable metrics across all sites for descriptive, productivity, group sustainability, and value-added domains; only 72% of all quality metrics were tracked in a comparable fashion. After sharing the data, we saw increased timeliness of nursery discharges and an increase in hospital committee participation and grant funding. PHM dashboards have the potential to guide program development, mobilize faculty to improve care, and demonstrate program value to stakeholders. Dashboard implementation at other institutions and data sharing across sites may help to better define and strengthen the field of PHM by creating benchmarks and help improve the quality of pediatric hospital care. Copyright © 2016 by the American Academy of Pediatrics.

Operations dashboard: comparative study

NASA Astrophysics Data System (ADS)

Ramly, Noor Nashriq; Ismail, Ahmad Zuhairi; Aziz, Mohd Haris; Ahmad, Nurul Haszeli

2011-10-01

In this present days and age, there are increasing needs for companies to monitor application and infrastructure health. Apart from having proactive measures to secure their application and infrastructure, many see monitoring dashboards as crucial investment in disaster preparedness. As companies struggle to find the best solution to cater for their needs and interest for monitoring their application and infrastructure's health, this paper summarizes the studies made on several known off-the-shelf operations dashboard and in-house developed dashboard. A few criteria of good dashboard are collected from previous studies carried out by several researchers and rank them according to importance and business needs. The finalized criteria that will be discussed in later sections are data visualization, performance indicator, dashboard personalization, audit capability and alert/ notification. Comparative studies between several popular dashboards were then carried out to determine whether they met these criteria that we derived from the first exercise. The findings hopefully can be used to educate and provide an overview of selecting the best IT application and infrastructure operations dashboard that suit business needs, thus become the main contribution of this paper.

Perceiving Learning at a Glance: A Systematic Literature Review of Learning Dashboard Research

ERIC Educational Resources Information Center

Schwendimann, Beat A.; Rodriguez-Triana, Maria Jesus; Vozniuk, Andrii; Prieto, Luis P.; Boroujeni, Mina Shirvani; Holzer, Adrian; Gillet, Denis; Dillenbourg, Pierre

2017-01-01

This paper presents a systematic literature review of the state-of-the-art of research on learning dashboards in the fields of Learning Analytics and Educational Data Mining. Research on learning dashboards aims to identify what data is meaningful to different stakeholders and how data can be presented to support sense-making processes. Learning…

Using business intelligence to improve performance.

PubMed

Wadsworth, Tom; Graves, Brian; Glass, Steve; Harrison, A Marc; Donovan, Chris; Proctor, Andrew

2009-10-01

Cleveland Clinic's enterprise performance management program offers proof that comparisons of actual performance against strategic objectives can enable healthcare organization to achieve rapid organizational change. Here are four lessons Cleveland Clinic learned from this initiative: Align performance metrics with strategic initiatives. Structure dashboards for the CEO. Link performance to annual reviews. Customize dashboard views to the specific user.

Strengthening the revenue cycle: a 4-step method for optimizing payment.

PubMed

Clark, Jonathan J

2008-10-01

Four steps for enhancing the revenue cycle to ensure optimal payment are: *Establish key performance indicator dashboards in each department that compare current with targeted performance; *Create proper organizational structures for each department; *Ensure that high-performing leaders are hired in all management and supervisory positions; *Implement efficient processes in underperforming operations.

Using Twitter to Identify and Respond to Food Poisoning: The Food Safety STL Project

PubMed Central

Hawkins, Jared B.; Nguyen, Leila; Nsoesie, Elaine O.; Tuli, Gaurav; Mansour, Raed; Brownstein, John S.

2017-01-01

Context: Foodborne illness affects 1 in 4 US residents each year. Few of those sickened seek medical care or report the illness to public health authorities, complicating prevention efforts. Citizens who report illness identify food establishments with more serious and critical violations than found by regular inspections. New media sources, including online restaurant reviews and social media postings, have the potential to improve reporting. Objective: We implemented a Web-based Dashboard (HealthMap Foodborne Dashboard) to identify and respond to tweets about food poisoning from St Louis City residents. Design and Setting: This report examines the performance of the Dashboard in its first 7 months after implementation in the City of St Louis Department of Health. Main Outcome Measures: We examined the number of relevant tweets captured and replied to, the number of foodborne illness reports received as a result of the new process, and the results of restaurant inspections following each report. Results: In its first 7 months (October 2015-May 2016), the Dashboard captured 193 relevant tweets. Our replies to relevant tweets resulted in more filed reports than several previously existing foodborne illness reporting mechanisms in St Louis during the same time frame. The proportion of restaurants with food safety violations was not statistically different (P = .60) in restaurants inspected after reports from the Dashboard compared with those inspected following reports through other mechanisms. Conclusion: The Dashboard differs from other citizen engagement mechanisms in its use of current data, allowing direct interaction with constituents on issues when relevant to the constituent to provide time-sensitive education and mobilizing information. In doing so, the Dashboard technology has potential for improving foodborne illness reporting and can be implemented in other areas to improve response to public health issues such as suicidality, spread of Zika virus infection, and hospital quality. PMID:28166175

Water Dashboard Help | ECHO | US EPA

EPA Pesticide Factsheets

The dashboards on the ECHO website are specialized to track both facility and agency performance as they relate to compliance with and enforcement of environmental standards under the Clean Water Act (CWA).

Information architecture for a patient-specific dashboard in head and neck tumor boards.

PubMed

Oeser, Alexander; Gaebel, Jan; Dietz, Andreas; Wiegand, Susanne; Oeltze-Jafra, Steffen

2018-03-28

Overcoming the flaws of current data management conditions in head and neck oncology could enable integrated information systems specifically tailored to the needs of medical experts in a tumor board meeting. Clinical dashboards are a promising method to assist various aspects of the decision-making process in such cognitively demanding scenarios. However, in order to provide extensive and intuitive assistance to the participating physicians, the design and development of such a system have to be user-centric. To accomplish this task, conceptual methods need to be performed prior to the technical development and integration stages. We have conducted a qualitative survey including eight clinical experts with different levels of expertise in the field of head and neck oncology. According to the principles of information architecture, the survey focused on the identification and causal interconnection of necessary metrics for information assessment in the tumor board. Based on the feedback by the clinical experts, we have constructed a detailed map of the required information items for a tumor board dashboard in head and neck oncology. Furthermore, we have identified three distinct groups of metrics (patient, disease and therapy metrics) as well as specific recommendations for their structural and graphical implementation. By using the information architecture, we were able to gather valuable feedback about the requirements and cognitive processes of the tumor board members. Those insights have helped us to develop a dashboard application that closely adapts to the specified needs and characteristics, and thus is primarily user-centric.

mHealth Visual Discovery Dashboard.

PubMed

Fang, Dezhi; Hohman, Fred; Polack, Peter; Sarker, Hillol; Kahng, Minsuk; Sharmin, Moushumi; al'Absi, Mustafa; Chau, Duen Horng

2017-09-01

We present Discovery Dashboard, a visual analytics system for exploring large volumes of time series data from mobile medical field studies. Discovery Dashboard offers interactive exploration tools and a data mining motif discovery algorithm to help researchers formulate hypotheses, discover trends and patterns, and ultimately gain a deeper understanding of their data. Discovery Dashboard emphasizes user freedom and flexibility during the data exploration process and enables researchers to do things previously challenging or impossible to do - in the web-browser and in real time. We demonstrate our system visualizing data from a mobile sensor study conducted at the University of Minnesota that included 52 participants who were trying to quit smoking.

mHealth Visual Discovery Dashboard

PubMed Central

Fang, Dezhi; Hohman, Fred; Polack, Peter; Sarker, Hillol; Kahng, Minsuk; Sharmin, Moushumi; al'Absi, Mustafa; Chau, Duen Horng

2018-01-01

We present Discovery Dashboard, a visual analytics system for exploring large volumes of time series data from mobile medical field studies. Discovery Dashboard offers interactive exploration tools and a data mining motif discovery algorithm to help researchers formulate hypotheses, discover trends and patterns, and ultimately gain a deeper understanding of their data. Discovery Dashboard emphasizes user freedom and flexibility during the data exploration process and enables researchers to do things previously challenging or impossible to do — in the web-browser and in real time. We demonstrate our system visualizing data from a mobile sensor study conducted at the University of Minnesota that included 52 participants who were trying to quit smoking. PMID:29354812

USC/School Performance Dashboard 2013. A Report from the Center on Educational Governance/University of Southern California

ERIC Educational Resources Information Center

Center on Educational Governance, 2013

2013-01-01

The USC School Performance Dashboard, now in its seventh year, draws on California school data from 2003-2012 to rate charter schools on academic and financial measures of performance. It also provides an accompanying interactive site at www.uscrossier.org/ceg/. Unlike other school databases, this one assigns values--high, medium, low--to the…

Air Dashboard Help | ECHO | US EPA

EPA Pesticide Factsheets

The dashboards found on the Enforcement and Compliance History Online (ECHO) website are specialized to track both facility and agency performance as they relate to compliance with and enforcement of environmental standards under the Clean Air Act (CAA).

Managing Quality and Safety in Real Time? Evidence from an Interview Study.

PubMed

Randell, Rebecca; Keen, Justin; Gates, Cara; Ferguson, Emma; Long, Andrew; Ginn, Claire; McGinnis, Elizabeth; Whittle, Jackie

2016-01-01

Health systems around the world are investing increasing effort in monitoring care quality and safety. Dashboards can support this process, providing summary data on processes and outcomes of care, making use of data visualization techniques such as graphs. As part of a study exploring development and use of dashboards in English hospitals, we interviewed senior managers across 15 healthcare providers. Findings revealed substantial variation in sophistication of the dashboards in place, largely presenting retrospective data items determined by national bodies and dependent on manual collation from a number of systems. Where real time systems were in place, they supported staff in proactively managing quality and safety.

Creating a dashboard to track progress toward IOM recommendations for the future of nursing.

PubMed

Spetz, Joanne; Bates, Timothy; Chu, Lela; Lin, Jessica; Fishman, Nancy W; Melichar, Lori

2013-01-01

This article explains the process used to identify and develop a set of data used to track national progress toward the recommendations of the Institute of Medicine Committee for the Future of Nursing. The data are presented in a dashboard format to visually summarize information and quickly measure progress. The approach selected by the research team is outlined, the criteria for selecting candidate metrics are detailed, the process for seeking external guidance is described, and the final dashboard measures are presented. Finally, the methods for data collection for each metric are explicated, to guide states and local regions in the collection of their own data.

Utilization of dashboard technology in academic radiology departments: results of a national survey.

PubMed

Mansoori, Bahar; Novak, Ronald D; Sivit, Carlos J; Ros, Pablo R

2013-04-01

The aim of this study was to identify the most widely used financial, productivity, and accessibility metrics used by academic radiology departments (ARDs) in a dashboard format via a national survey. The results provide a guide to the selection of preferred or commonly used indicators to facilitate dashboard implementation and use. The study met the criteria for an exemption from institutional review board approval. A cross-sectional survey was conducted using a survey approved by the Society of Chairs of Academic Radiology Departments and sent to its members. The survey was designed to evaluate the adoption, access, and composition of dashboard technology in ARDs, particularly those related to measures of productivity and financial performance. The overall response rate was 42% (56 of 131 members). Sixty-two percent of responding ARDs currently use some form of dashboard technology, but 50% have used this technology for ≤2 years. Sixty-five percent of all ARDs use their dashboard information on a monthly basis. The two dashboard financial indicators most frequently used by ARDs are revenue and actual expenses. Similarly, the two productivity indicators used most widely are total examination volume and examination volume per modality. The two most important access indicators used are report turnaround time and backlog per unit time. Currently, fewer than two-thirds of the responding ARDs use dashboard technology, and one-half have used the technology for ≤2 years. Although some fiscal and productivity indices are more frequently used, there are a diverse number of factors used to measure productivity, finance, access, and other operational parameters in ARD dashboards. Thus, the information provided by each institutional dashboard may be significantly different from that in other ARDs. Copyright © 2013 American College of Radiology. Published by Elsevier Inc. All rights reserved.

Designing and implementing an electronic dashboard for disease outbreaks response - Case study of the 2013-2014 Somalia Polio outbreak response dashboard

PubMed Central

Kamadjeu, Raoul; Gathenji, Caroline

2017-01-01

In April 2013, a case of wild polio virus (WPV) was detected in the Somalia capital Mogadishu. This inaugurated what is now referred to as the 2013-2014 Horn of Africa Polio outbreak with cases reported in Somalia, Kenya and Ethiopia. By the notification of the last polio case in August 2014, 223 cases of WPV had been reported in Somalia, Kenya and Ethiopia of which 199 in Somalia alone. The outbreak response required timely exchange of information between the outbreak response coordination unit (in Nairobi) and local staff located in multiple locations inside the country. The need to track and timely respond to information requests, to satisfy the information/data needs of polio partners and to track key outbreak response performance indicators dictated the need to urgently set up an online dashboard. The Somalia Polio Room dashboard provided a graphical display of the polio outbreak data to track progress and inform decision making. The system was designed using free and open sources components and seamlessly integrated existing polio surveillance data for real time monitoring of key outbreak response performance indicators. In this article, we describe the design and operation of an electronic dashboard for disease surveillance in an outbreak situation and used the lessons learned to propose key design considerations and functional requirements for online electronic dashboards for disease outbreak response. PMID:29296157

Designing and implementing an electronic dashboard for disease outbreaks response - Case study of the 2013-2014 Somalia Polio outbreak response dashboard.

PubMed

Kamadjeu, Raoul; Gathenji, Caroline

2017-01-01

In April 2013, a case of wild polio virus (WPV) was detected in the Somalia capital Mogadishu. This inaugurated what is now referred to as the 2013-2014 Horn of Africa Polio outbreak with cases reported in Somalia, Kenya and Ethiopia. By the notification of the last polio case in August 2014, 223 cases of WPV had been reported in Somalia, Kenya and Ethiopia of which 199 in Somalia alone. The outbreak response required timely exchange of information between the outbreak response coordination unit (in Nairobi) and local staff located in multiple locations inside the country. The need to track and timely respond to information requests, to satisfy the information/data needs of polio partners and to track key outbreak response performance indicators dictated the need to urgently set up an online dashboard. The Somalia Polio Room dashboard provided a graphical display of the polio outbreak data to track progress and inform decision making. The system was designed using free and open sources components and seamlessly integrated existing polio surveillance data for real time monitoring of key outbreak response performance indicators. In this article, we describe the design and operation of an electronic dashboard for disease surveillance in an outbreak situation and used the lessons learned to propose key design considerations and functional requirements for online electronic dashboards for disease outbreak response.

Climate Change Information Dashboards for Water Resource Managers

NASA Astrophysics Data System (ADS)

Buja, Lawrence

2016-04-01

It is in the context of its application that one needs to determine if climate information is of high quality and ultimately useful. Therefore, it is important that the intersection between data providers and data consumers is structured in form of an iterative and collaborative exchange where science and application viewpoints can be brought together. A traditional "loading dock"-style hand-off of data fails to optimally inform decisions. It is now broadly recognized that a collaborative, open exchange is better suited to generate credible and salient products and knowledge that can be more confidently used in decisions. But in order for this exchange to be successful in practice, it needs to be sufficiently efficient to actually facilitate an exploratory process that is inherently iterative to determine the most informative products. It also requires a transparent approach that is easily understood and communicated. We will present prototypes of Climate Information Dashboards that collect on a single page to integrate a suite of key climate information for resource managers. The content of dashboards is based on standardized products that can be assembled to meet specific needs. They were co-designed with the water resource managers and are tailored to selected management and decision topics. The visualizations are tuned to quickly provide the basic information, yet below individual diagnostics are more detailed analyses that can be consulted. These dashboards offer a flexible way to connect decision-makers to climate model output. Conversely, such dashboards can also be applied to inform model development by providing insight into a suite of key characteristics of model performance that have been identified as critical by a sector.

Drivers of Dashboard Development (3-D): A Curricular Continuous Quality Improvement Approach.

PubMed

Shroyer, A Laurie; Lu, Wei-Hsin; Chandran, Latha

2016-04-01

Undergraduate medical education (UME) programs are seeking systematic ways to monitor and manage their educational performance metrics and document their achievement of external goals (e.g., Liaison Committee on Medical Education [LCME] accreditation requirements) and internal objectives (institution-specific metrics). In other continuous quality improvement (CQI) settings, summary dashboard reports have been used to evaluate and improve performance. The Stony Brook University School of Medicine UME leadership team developed and implemented summary dashboard performance reports in 2009 to document LCME standards/criteria compliance, evaluate medical student performance, and identify progress in attaining institutional curricular goals and objectives. Key performance indicators (KPIs) and benchmarks were established and have been routinely monitored as part of the novel Drivers of Dashboard Development (3-D) approach to curricular CQI. The systematic 3-D approach has had positive CQI impacts. Substantial improvements over time have been documented in KPIs including timeliness of clerkship grades, midclerkship feedback, student mistreatment policy awareness, and student satisfaction. Stakeholder feedback indicates that the dashboards have provided useful information guiding data-driven curricular changes, such as integrating clinician-scientists as lecturers in basic science courses to clarify the clinical relevance of specific topics. Gaining stakeholder acceptance of the 3-D approach required clear communication of preestablished targets and annual meetings with department leaders and course/clerkship directors. The 3-D approach may be considered by UME programs as a template for providing faculty and leadership with a CQI framework to establish shared goals, document compliance, report accomplishments, enrich communications, facilitate decisions, and improve performance.

Hazardous Waste Dashboard Help | ECHO | US EPA

EPA Pesticide Factsheets

The dashboards found on the Enforcement and Compliance History Online (ECHO) website are specialized to track both facility and agency performance as they relate to compliance with and enforcement of environmental standards under the Resource Conservation and Recovery Act (RCRA).

Pesticide Dashboard Help | ECHO | US EPA

EPA Pesticide Factsheets

The dashboards found on the Enforcement and Compliance History Online (ECHO) website are specialized to track both facility and agency performance as they relate to compliance with and enforcement of environmental standards under the Federal Insecticide, Fungicide, and Rodenticide Act (FIFRA).

20180318 - Using the US EPA's CompTox Chemistry Dashboard for structure identification and non-targeted analyses (ACS Spring)

EPA Science Inventory

The CompTox Chemistry Dashboard provides access to data for ~760,000 chemicals. High quality curated data and rich metadata facilitates mass spec analysis. “MS-Ready” processed data enables structure identification.

Impact of an educational intervention and clinical performance dashboard on neonatal bloodstream infections.

PubMed

Raban, Moegammad Shukri; Bamford, Colleen; Joolay, Yaseen; Harrison, Michael C

2015-09-21

Blood cultures are the most direct method of detecting bacteraemia. Reducing contamination rates improves the specificity and positive predictive value of the blood culture. Clinical performance dashboards have been shown to be powerful tools in improving patient care and outcomes. To determine whether prospective surveillance of bloodstream infections (BSIs), introduction of an educational intervention and the use of a clinical performance dashboard could reduce BSIs and blood culture contamination rates in a neonatal nursery. We compared two time periods, before and after an intervention. Blood culture data were extracted from the local microbiology laboratory database. The educational intervention included the establishment of hand-washing protocols, blood culture techniques and video tools. A clinical performance dashboard was developed to demonstrate the monthly positive blood culture and contamination rates, and this was highlighted and referred to weekly at the unit staff meeting. Before the intervention, 1 460 blood cultures were taken; 206 (14.1%) were positive, of which 104 (7.1% of the total) were contaminants. In the period following the intervention, 1 282 blood cultures were taken; 131 (10.2%) were positive, of which 42 (3.3% of the total) were contaminants. The number of positive blood cultures and contamination rates after the intervention were both statistically significantly reduced (p=0.002 and p<0.001, respectively). This study demonstrates that adopting a relatively simple educational tool, making use of a clinical performance dashboard indicator and benchmarking practice can significantly reduce the level of neonatal sepsis while also reducing contaminated blood cultures.

Navigating the Next Accreditation System: A Dashboard for the Milestones.

PubMed

Johna, Samir; Woodward, Brandon

2015-01-01

In July 2014, all residency programs accredited by the Accreditation Council for Graduate Medical Education (ACGME) were enrolled in a new system called the Next Accreditation System. Residency programs may not be clear on how best to comply with these new accreditation requirements. Large amounts of data must be collected, evaluated, and submitted twice a year to the council's Web-based data collection system. One challenge is that the new "end-of-rotation" evaluations must reflect specialty-specific milestones, on which many faculty members are not well versed. Like other residency programs, we tried to address the challenges using our local resources. We used our existing electronic goals and objectives for each rotation coupled with appropriate end-of-rotation evaluations reflecting the specialty-specific milestones through a process of editing and mapping. Data extracted from these evaluations were added to an interactive dashboard that also contained evaluations on additional program-specific modifiers of residents' performance. A resident's final overall performance was visually represented on a plot graph. The novel dashboard included features to save evaluations for future comparisons and to track residents' progress during their entire training. It proved simple to use and was able to reduce the time needed for each resident evaluation to 5 to 10 minutes. This tool has made it much easier and less challenging for the members of our Clinical Competency Committee to start deliberation about each resident's performance.

Informatics in radiology: automated Web-based graphical dashboard for radiology operational business intelligence.

PubMed

Nagy, Paul G; Warnock, Max J; Daly, Mark; Toland, Christopher; Meenan, Christopher D; Mezrich, Reuben S

2009-11-01

Radiology departments today are faced with many challenges to improve operational efficiency, performance, and quality. Many organizations rely on antiquated, paper-based methods to review their historical performance and understand their operations. With increased workloads, geographically dispersed image acquisition and reading sites, and rapidly changing technologies, this approach is increasingly untenable. A Web-based dashboard was constructed to automate the extraction, processing, and display of indicators and thereby provide useful and current data for twice-monthly departmental operational meetings. The feasibility of extracting specific metrics from clinical information systems was evaluated as part of a longer-term effort to build a radiology business intelligence architecture. Operational data were extracted from clinical information systems and stored in a centralized data warehouse. Higher-level analytics were performed on the centralized data, a process that generated indicators in a dynamic Web-based graphical environment that proved valuable in discussion and root cause analysis. Results aggregated over a 24-month period since implementation suggest that this operational business intelligence reporting system has provided significant data for driving more effective management decisions to improve productivity, performance, and quality of service in the department.

Dashboard systems: implementing pharmacometrics from bench to bedside.

PubMed

Mould, Diane R; Upton, Richard N; Wojciechowski, Jessica

2014-09-01

In recent years, there has been increasing interest in the development of medical decision-support tools, including dashboard systems. Dashboard systems are software packages that integrate information and calculations about therapeutics from multiple components into a single interface for use in the clinical environment. Given the high cost of medical care, and the increasing need to demonstrate positive clinical outcomes for reimbursement, dashboard systems may become an important tool for improving patient outcome, improving clinical efficiency and containing healthcare costs. Similarly the costs associated with drug development are also rising. The use of model-based drug development (MBDD) has been proposed as a tool to streamline this process, facilitating the selection of appropriate doses and making informed go/no-go decisions. However, complete implementation of MBDD has not always been successful owing to a variety of factors, including the resources required to provide timely modeling and simulation updates. The application of dashboard systems in drug development reduces the resource requirement and may expedite updating models as new data are collected, allowing modeling results to be available in a timely fashion. In this paper, we present some background information on dashboard systems and propose the use of these systems both in the clinic and during drug development.

An electronic dashboard to improve nursing care.

PubMed

Tan, Yung-Ming; Hii, Joshua; Chan, Katherine; Sardual, Robert; Mah, Benjamin

2013-01-01

With the introduction of CPOE systems, nurses in a Singapore hospital were facing difficulties monitoring key patient information such as critical tasks and alerts. Issues include unfriendly user interfaces of clinical systems, information overload, and the loss of visual cues for action due to paperless workflows. The hospital decided to implement an interactive electronic dashboard on top of their CPOE system to improve visibility of vital patient data. A post-implementation survey was performed to gather end-user feedback and evaluate factors that influence user satisfaction of the dashboard. Questionnaires were sent to all nurses of five pilot wards. 106 valid responses were received. User adoption was good with 86% of nurses using the dashboard every shift. Mean satisfaction score was 3.6 out of 5. User satisfaction was strongly and positively correlated to the system's perceived impact on work efficiency and care quality. From qualitative feedback, nurses generally agreed that the dashboard had improved their awareness of critical patient issues without the hassle of navigating a CPOE system. This study shows that an interactive clinical dashboard when properly integrated with a CPOE system could be a useful tool to improve daily patient care.

Effective radiology dashboards: key research findings.

PubMed

Karami, Mahtab; Safdari, Reza; Rahimi, Azin

2013-01-01

Innovative organizations have access to information for business intelligence through the objectives displayed in dashboards. In healthcare organizations, where the goal is to improve quality of care along with reducing costs, the radiology department is important from both financial and clinical aspects. Therefore, how to manage this department has critical impact on the effectiveness and efficiency of the organization. Today, since the information in this department not only has different data structure but also is gathered from different data sources, a well defined, comprehensive dashboard can be an effective tool to enhance performance.

Energy dashboard for real-time evaluation of a heat pump assisted solar thermal system

NASA Astrophysics Data System (ADS)

Lotz, David Allen

The emergence of net-zero energy buildings, buildings that generate at least as much energy as they consume, has lead to greater use of renewable energy sources such as solar thermal energy. One example is a heat pump assisted solar thermal system, which uses solar thermal collectors with an electrical heat pump backup to supply space heating and domestic hot water. The complexity of such a system can be somewhat problematic for monitoring and maintaining a high level of performance. Therefore, an energy dashboard was developed to provide comprehensive and user friendly performance metrics for a solar heat pump system. Once developed, the energy dashboard was tested over a two-week period in order to determine the functionality of the dashboard program as well as the performance of the heating system itself. The results showed the importance of a user friendly display and how each metric could be used to better maintain and evaluate an energy system. In particular, Energy Factor (EF), which is the ratio of output energy (collected energy) to input energy (consumed energy), was a key metric for summarizing the performance of the heating system. Furthermore, the average EF of the solar heat pump system was 2.29, indicating an efficiency significantly higher than traditional electrical heating systems.

A novel concept for integrating and delivering health information using a comprehensive digital dashboard: An analysis of healthcare professionals' intention to adopt a new system and the trend of its real usage.

PubMed

Lee, Keehyuck; Jung, Se Young; Hwang, Hee; Yoo, Sooyoung; Baek, Hyun Young; Baek, Rong-Min; Kim, Seok

2017-01-01

To introduce a new concept of medical dashboard system called BESTBoard. Such a system was implemented in all wards in a tertiary academic hospital to explore the development process, core designs, functions, usability and feasibility. The task-force team made user interface designs for 6 months based on a need analysis. Hardware configuration and software development was carried out for 3 months. We conducted a survey of 383 physicians and nurses to determine the usability and feasibility of the system. In March 2012, the system was installed in all wards, including the intensive care units, emergency rooms, operation rooms, and even delivery rooms. Healthcare professionals had access to all information of EHRs optimized for a large 55-inch touchscreen. The satisfaction rate of BESTBoard users was high, with a mean of 3.3 points. Voluntary users tended to consider BESTBoard as a good system that is useful for team round visits, interdisciplinary team approach, and collecting the status of the hospital rooms. Elderly users didn't tend to think of BESTBoard as a useful tool for interdisciplinary team approach and collecting the status of the hospital rooms. Greater expectations regarding work performance affected the users' attitudes positively. A positive attitude toward using the system resulted in consistent real usage and health care professionals' satisfaction with the new dashboard system. A new concept of hospital dashboard system proved to be feasible and useful in delivering health information to healthcare professionals. A positive attitude and an expectation regarding work performance were important factors for intention to use the system. This finding can serve for developing new systems to present health information effectively. Further studies will be needed to evaluate the extent to which BESTBoard can have a positive impact on clinical care outcomes and work performance. Copyright © 2016. Published by Elsevier Ireland Ltd.

A diabetes dashboard and physician efficiency and accuracy in accessing data needed for high-quality diabetes care.

PubMed

Koopman, Richelle J; Kochendorfer, Karl M; Moore, Joi L; Mehr, David R; Wakefield, Douglas S; Yadamsuren, Borchuluun; Coberly, Jared S; Kruse, Robin L; Wakefield, Bonnie J; Belden, Jeffery L

2011-01-01

We compared use of a new diabetes dashboard screen with use of a conventional approach of viewing multiple electronic health record (EHR) screens to find data needed for ambulatory diabetes care. We performed a usability study, including a quantitative time study and qualitative analysis of information-seeking behaviors. While being recorded with Morae Recorder software and "think-aloud" interview methods, 10 primary care physicians first searched their EHR for 10 diabetes data elements using a conventional approach for a simulated patient, and then using a new diabetes dashboard for another. We measured time, number of mouse clicks, and accuracy. Two coders analyzed think-aloud and interview data using grounded theory methodology. The mean time needed to find all data elements was 5.5 minutes using the conventional approach vs 1.3 minutes using the diabetes dashboard (P <.001). Physicians correctly identified 94% of the data requested using the conventional method, vs 100% with the dashboard (P <.01). The mean number of mouse clicks was 60 for conventional searching vs 3 clicks with the diabetes dashboard (P <.001). A common theme was that in everyday practice, if physicians had to spend too much time searching for data, they would either continue without it or order a test again. Using a patient-specific diabetes dashboard improves both the efficiency and accuracy of acquiring data needed for high-quality diabetes care. Usability analysis tools can provide important insights into the value of optimizing physician use of health information technologies.

Impact of a quality-assessment dashboard on the comprehensive review of pharmacist performance.

PubMed

Trinh, Long D; Roach, Erin M; Vogan, Eric D; Lam, Simon W; Eggers, Garrett G

2017-09-01

The impact of a quality-assessment dashboard and individualized pharmacist performance feedback on the adherence of order verification was evaluated. A before-and-after study was conducted at a 1,440-bed academic medical center. Adherence of order verification was defined as orders verified according to institution-derived, medication-related guidelines and policies. Formulas were developed to assess the adherence of verified orders to dosing guidelines using patient-specific height, weight, and serum creatinine clearance values from the electronic medical record at the time of pharmacist verification. A total of 5 medications were assessed by the formulas for adherence and displayed on the dashboard: ampicillin-sulbactam, ciprofloxacin, piperacillin-tazobactam, acyclovir, and enoxaparin. Adherence of order verification was assessed before (May 1-July 31, 2015) and after (November 1, 2015-January 31, 2016) individualized performance feedback was given based on trends identified by the quality-assessment dashboard. There was a significant increase in the overall adherence rate postintervention (90.1% versus 91.9%, p = 0.040). Among the 34 pharmacists who participated, the percentage of pharmacists with at least 90% overall adherence increased postintervention (52.9% versus 70.6%, p = 0.103). Time to verification was similar before and after the study intervention (median, 6.0 minutes; interquartile range, 3-13 minutes). The rate of documentation for nonadherent orders increased significantly postintervention (57.1% versus 68.5%, p = 0.019). The implementation of the quality-assessment dashboard, educational sessions, and individualized performance feedback significantly improved pharmacist order-verification adherence to institution-derived, medication-related guidelines and policies and the documentation rate of nonadherent orders. Copyright © 2017 by the American Society of Health-System Pharmacists, Inc. All rights reserved.

Development and initial evaluation of a treatment decision dashboard.

PubMed

Dolan, James G; Veazie, Peter J; Russ, Ann J

2013-04-21

For many healthcare decisions, multiple alternatives are available with different combinations of advantages and disadvantages across several important dimensions. The complexity of current healthcare decisions thus presents a significant barrier to informed decision making, a key element of patient-centered care.Interactive decision dashboards were developed to facilitate decision making in Management, a field marked by similarly complicated choices. These dashboards utilize data visualization techniques to reduce the cognitive effort needed to evaluate decision alternatives and a non-linear flow of information that enables users to review information in a self-directed fashion. Theoretically, both of these features should facilitate informed decision making by increasing user engagement with and understanding of the decision at hand. We sought to determine if the interactive decision dashboard format can be successfully adapted to create a clinically realistic prototype patient decision aid suitable for further evaluation and refinement. We created a computerized, interactive clinical decision dashboard and performed a pilot test of its clinical feasibility and acceptability using a multi-method analysis. The dashboard summarized information about the effectiveness, risks of side effects and drug-drug interactions, out-of-pocket costs, and ease of use of nine analgesic treatment options for knee osteoarthritis. Outcome evaluations included observations of how study participants utilized the dashboard, questionnaires to assess usability, acceptability, and decisional conflict, and an open-ended qualitative analysis. The study sample consisted of 25 volunteers - 7 men and 18 women - with an average age of 51 years. The mean time spent interacting with the dashboard was 4.6 minutes. Mean evaluation scores on scales ranging from 1 (low) to 7 (high) were: mechanical ease of use 6.1, cognitive ease of use 6.2, emotional difficulty 2.7, decision-aiding effectiveness 5.9, clarification of values 6.5, reduction in decisional uncertainty 6.1, and provision of decision-related information 6.0. Qualitative findings were similarly positive. Interactive decision dashboards can be adapted for clinical use and have the potential to foster informed decision making. Additional research is warranted to more rigorously test the effectiveness and efficiency of patient decision dashboards for supporting informed decision making and other aspects of patient-centered care, including shared decision making.

In-Memory Business Intelligence: Concepts and Performance

NASA Astrophysics Data System (ADS)

Rantung, V. P.; Kembuan, O.; Rompas, P. T. D.; Mewengkang, A.; Liando, O. E. S.; Sumayku, J.

2018-02-01

This research aims to discuss in-memory Business Intelligent (BI) and to model the business analysis questions to know the performance of the in-memory BI. By using, the Qlickview application found BI dashboards that easily accessed and modified. The dashboards are developed together using an agile development approach such as pre-study, planning, iterative execution, implementation, and evaluation. At the end, this research helping analyzer in choosing a right implementation for BI solution.

Pharmacy Dashboard: An Innovative Process for Pharmacy Workload and Productivity.

PubMed

Kinney, Ashley; Bui, Quyen; Hodding, Jane; Le, Jennifer

2017-03-01

Background: Innovative approaches, including LEAN systems and dashboards, to enhance pharmacy production continue to evolve in a cost and safety conscious health care environment. Furthermore, implementing and evaluating the effectiveness of these novel methods continues to be challenging for pharmacies. Objective: To describe a comprehensive, real-time pharmacy dashboard that incorporated LEAN methodologies and evaluate its utilization in an inpatient Central Intravenous Additives Services (CIVAS) pharmacy. Methods: Long Beach Memorial Hospital (462 adult beds) and Miller Children's and Women's Hospital of Long Beach (combined 324 beds) are tertiary not-for-profit, community-based hospitals that are served by one CIVAS pharmacy. Metrics to evaluate the effectiveness of CIVAS were developed and implemented on a dashboard in real-time from March 2013 to March 2014. Results: The metrics that were designed and implemented to evaluate the effectiveness of CIVAS were quality and value, financial resilience, and the department's people and culture. Using a dashboard that integrated these metrics, the accuracy of manufacturing defect-free products was ≥99.9%, indicating excellent quality and value of CIVAS. The metric for financial resilience demonstrated a cost savings of $78,000 annually within pharmacy by eliminating the outsourcing of products. People and value metrics on the dashboard focused on standard work, with an overall 94.6% compliance to the workflow. Conclusion: A unique dashboard that incorporated metrics to monitor 3 important areas was successfully implemented to improve the effectiveness of CIVAS pharmacy. These metrics helped pharmacy to monitor progress in real-time, allowing attainment of production goals and fostering continuous quality improvement through LEAN work.

Pharmacy Dashboard: An Innovative Process for Pharmacy Workload and Productivity

PubMed Central

Bui, Quyen; Hodding, Jane; Le, Jennifer

2017-01-01

Background: Innovative approaches, including LEAN systems and dashboards, to enhance pharmacy production continue to evolve in a cost and safety conscious health care environment. Furthermore, implementing and evaluating the effectiveness of these novel methods continues to be challenging for pharmacies. Objective: To describe a comprehensive, real-time pharmacy dashboard that incorporated LEAN methodologies and evaluate its utilization in an inpatient Central Intravenous Additives Services (CIVAS) pharmacy. Methods: Long Beach Memorial Hospital (462 adult beds) and Miller Children's and Women's Hospital of Long Beach (combined 324 beds) are tertiary not-for-profit, community-based hospitals that are served by one CIVAS pharmacy. Metrics to evaluate the effectiveness of CIVAS were developed and implemented on a dashboard in real-time from March 2013 to March 2014. Results: The metrics that were designed and implemented to evaluate the effectiveness of CIVAS were quality and value, financial resilience, and the department's people and culture. Using a dashboard that integrated these metrics, the accuracy of manufacturing defect-free products was ≥99.9%, indicating excellent quality and value of CIVAS. The metric for financial resilience demonstrated a cost savings of $78,000 annually within pharmacy by eliminating the outsourcing of products. People and value metrics on the dashboard focused on standard work, with an overall 94.6% compliance to the workflow. Conclusion: A unique dashboard that incorporated metrics to monitor 3 important areas was successfully implemented to improve the effectiveness of CIVAS pharmacy. These metrics helped pharmacy to monitor progress in real-time, allowing attainment of production goals and fostering continuous quality improvement through LEAN work. PMID:28439134

Development and implementation of a custom integrated database with dashboards to assist with hematopathology specimen triage and traffic

PubMed Central

Azzato, Elizabeth M.; Morrissette, Jennifer J. D.; Halbiger, Regina D.; Bagg, Adam; Daber, Robert D.

2014-01-01

Background: At some institutions, including ours, bone marrow aspirate specimen triage is complex, with hematopathology triage decisions that need to be communicated to downstream ancillary testing laboratories and many specimen aliquot transfers that are handled outside of the laboratory information system (LIS). We developed a custom integrated database with dashboards to facilitate and streamline this workflow. Methods: We developed user-specific dashboards that allow entry of specimen information by technologists in the hematology laboratory, have custom scripting to present relevant information for the hematopathology service and ancillary laboratories and allow communication of triage decisions from the hematopathology service to other laboratories. These dashboards are web-accessible on the local intranet and accessible from behind the hospital firewall on a computer or tablet. Secure user access and group rights ensure that relevant users can edit or access appropriate records. Results: After database and dashboard design, two-stage beta-testing and user education was performed, with the first focusing on technologist specimen entry and the second on downstream users. Commonly encountered issues and user functionality requests were resolved with database and dashboard redesign. Final implementation occurred within 6 months of initial design; users report improved triage efficiency and reduced need for interlaboratory communications. Conclusions: We successfully developed and implemented a custom database with dashboards that facilitates and streamlines our hematopathology bone marrow aspirate triage. This provides an example of a possible solution to specimen communications and traffic that are outside the purview of a standard LIS. PMID:25250187

A Diabetes Dashboard and Physician Efficiency and Accuracy in Accessing Data Needed for High-Quality Diabetes Care

PubMed Central

Koopman, Richelle J.; Kochendorfer, Karl M.; Moore, Joi L.; Mehr, David R.; Wakefield, Douglas S.; Yadamsuren, Borchuluun; Coberly, Jared S.; Kruse, Robin L.; Wakefield, Bonnie J.; Belden, Jeffery L.

2011-01-01

PURPOSE We compared use of a new diabetes dashboard screen with use of a conventional approach of viewing multiple electronic health record (EHR) screens to find data needed for ambulatory diabetes care. METHODS We performed a usability study, including a quantitative time study and qualitative analysis of information-seeking behaviors. While being recorded with Morae Recorder software and “think-aloud” interview methods, 10 primary care physicians first searched their EHR for 10 diabetes data elements using a conventional approach for a simulated patient, and then using a new diabetes dashboard for another. We measured time, number of mouse clicks, and accuracy. Two coders analyzed think-aloud and interview data using grounded theory methodology. RESULTS The mean time needed to find all data elements was 5.5 minutes using the conventional approach vs 1.3 minutes using the diabetes dashboard (P <.001). Physicians correctly identified 94% of the data requested using the conventional method, vs 100% with the dashboard (P <.01). The mean number of mouse clicks was 60 for conventional searching vs 3 clicks with the diabetes dashboard (P <.001). A common theme was that in everyday practice, if physicians had to spend too much time searching for data, they would either continue without it or order a test again. CONCLUSIONS Using a patient-specific diabetes dashboard improves both the efficiency and accuracy of acquiring data needed for high-quality diabetes care. Usability analysis tools can provide important insights into the value of optimizing physician use of health information technologies. PMID:21911758

Development of a computerized monitoring program to identify narcotic diversion in a pediatric anesthesia practice.

PubMed

Brenn, B Randall; Kim, Margaret A; Hilmas, Elora

2015-08-15

Development of an operational reporting dashboard designed to correlate data from multiple sources to help detect potential drug diversion by automated dispensing cabinet (ADC) users is described. A commercial business intelligence platform was used to create a dashboard tool for rapid detection of unusual patterns of ADC transactions by anesthesia service providers at a large pediatric hospital. By linking information from the hospital's pharmacy information management system (PIMS) and anesthesia information management system (AIMS) in an associative data model, the "narcotic reconciliation dashboard" can generate various reports to help spot outlier activity associated with ADC dispensing of controlled substances and documentation of medication waste processing. The dashboard's utility was evaluated by "back-testing" the program with historical data on an actual episode of diversion by an anesthesia provider that had not been detected through traditional methods of PIMS and AIMS data monitoring. Dashboard-generated reports on key metrics (e.g., ADC transaction counts, discrepancies in dispensed versus reconciled amounts of narcotics, PIMS-AIMS documentation mismatches) over various time frames during the period of known diversion clearly indicated the diverter's outlier status relative to other authorized ADC users. A dashboard program for correlating ADC transaction data with pharmacy and patient care data may be an effective tool for detecting patterns of ADC use that suggest drug diversion. Copyright © 2015 by the American Society of Health-System Pharmacists, Inc. All rights reserved.

Patient Dashboard: the use of a colour-coded computerised clinical reminder in Whanganui regional general practices.

PubMed

McMenamin, John; Nicholson, Rick; Leech, Ken

2011-12-01

Clinical reminders have been shown to help general practice achieve an increase in some preventive care items, especially if they identify a patient's eligibility for the target item, prompt clinicians at the right time, provide a fast link to management tools and facilitate clinical recording. WRPHO has introduced the Patient Dashboard clinical reminder and monitored its impact on health targets. This paper reports the impact of a computerised colour-coded clinical reminder on achieving agreed health targets in Whanganui regional practices. Patient Dashboard was developed from previous versions in Auckland and Northland and provided to Whanganui regional practices with Primary Health Organisation (PHO) support. The Dashboard was linked with existing and new clinical management tools which automatically updated clinical records. Data from practices was pooled by Whanganui Regional Primary Health Organisation and target achievement rates reported over 15 months. Over the initial 15 months of Patient Dashboard use, recording of smoking status increased from 74% to 82% and of alcohol use from 15% to 47%. Screening for diabetes increased from 62% to 74%, cardiovascular risk assessment from 20% to 43%, cervical screening from 71% to 79%, and breast screening from 60% to 80%. Patient Dashboard was associated with increased performance indicators both for those targets which were part of a PHO programme and for targets without additional support.

DOE Office of Scientific and Technical Information (OSTI.GOV)

McGrath, M.S.; Nieuwland, J.C.; Lith, C. van

Holzindustie Bruchsal (HIB) was required to treat moderate levels of styrene emissions from their plastic dashboard manufacturing process. After evaluating many types of control technologies, HIB decided to install a Bioton biofiltration system from Monsanto Enviro-Chem Systems Inc. (MEC). After the installation of the Bioton biofilter, HIB and MEC learned that large amounts of butylacetate were also present in the off-gas stream. The presence of butylacetate was found to have inhibitory effects on the removal of styrene. Therefore, MEC performed a series of pilot and laboratory studies to determine if a bacteria strain could be identified that would be capablemore » of removing styrene in the presence of butylacetate. It was found that a specific bacteria strain was capable of achieving high levels of styrene removal without inhibition from butylacetate in laboratory and pilot testing. This strain was inoculated into the full scale system. After acclimation, the full scale inoculation produced a consortium of bacteria that biologically removed the styrene from the dashboard manufacturing process in the presence of butylacetate.« less

Using semi-automated curation workflows to collect, organize, and curate the data and models necessary to support the EPA CompTox chemical dashboard (ACS Spring meeting)

EPA Science Inventory

With the increasing need to leverage data and models to perform cutting edge analyses within the environmental science community, collection and organization of that data into a readily accessible format for consumption is a pressing need. The EPA CompTox chemical dashboard is i...

Development and initial evaluation of a treatment decision dashboard

PubMed Central

2013-01-01

Background For many healthcare decisions, multiple alternatives are available with different combinations of advantages and disadvantages across several important dimensions. The complexity of current healthcare decisions thus presents a significant barrier to informed decision making, a key element of patient-centered care. Interactive decision dashboards were developed to facilitate decision making in Management, a field marked by similarly complicated choices. These dashboards utilize data visualization techniques to reduce the cognitive effort needed to evaluate decision alternatives and a non-linear flow of information that enables users to review information in a self-directed fashion. Theoretically, both of these features should facilitate informed decision making by increasing user engagement with and understanding of the decision at hand. We sought to determine if the interactive decision dashboard format can be successfully adapted to create a clinically realistic prototype patient decision aid suitable for further evaluation and refinement. Methods We created a computerized, interactive clinical decision dashboard and performed a pilot test of its clinical feasibility and acceptability using a multi-method analysis. The dashboard summarized information about the effectiveness, risks of side effects and drug-drug interactions, out-of-pocket costs, and ease of use of nine analgesic treatment options for knee osteoarthritis. Outcome evaluations included observations of how study participants utilized the dashboard, questionnaires to assess usability, acceptability, and decisional conflict, and an open-ended qualitative analysis. Results The study sample consisted of 25 volunteers - 7 men and 18 women - with an average age of 51 years. The mean time spent interacting with the dashboard was 4.6 minutes. Mean evaluation scores on scales ranging from 1 (low) to 7 (high) were: mechanical ease of use 6.1, cognitive ease of use 6.2, emotional difficulty 2.7, decision-aiding effectiveness 5.9, clarification of values 6.5, reduction in decisional uncertainty 6.1, and provision of decision-related information 6.0. Qualitative findings were similarly positive. Conclusions Interactive decision dashboards can be adapted for clinical use and have the potential to foster informed decision making. Additional research is warranted to more rigorously test the effectiveness and efficiency of patient decision dashboards for supporting informed decision making and other aspects of patient-centered care, including shared decision making. PMID:23601912

Ergonomic and usability analysis on a sample of automobile dashboards.

PubMed

Carvalho, Raíssa; Soares, Marcelo

2012-01-01

This is a research study based on an analysis which sets out to identify and pinpoint ergonomic and usability problems found in a sample of automobile dashboards. The sample consisted of three dashboards, of three different makes and characterized as being a popular model, an average model and a luxury model. The examination was conducted by observation, with the aid of photography, notes and open interview, questionnaires and performing tasks with users, the bases of which are on the principles laid down by methodologies. From this it was possible to point to the existence of problems such as: complaints about the layout, lighting, colors, available area, difficult access to points of interaction, such as buttons, and the difficult nomenclature of dials. Later, the findings and recommendations presented show the need for a further, deeper study, using more accurate tools, a larger sample of users, and an anthropometric study focused on the dashboard, since reading and understanding it have to be done quickly and accurately, and that more attention be given to the study of automobile dashboards, particularly in the most popular vehicles in order to maintain the standards of usability, and drivers' comfort and safety.

Development and Deployment of NASA's Budget Execution Dashboard

NASA Technical Reports Server (NTRS)

Putz, Peter

2009-01-01

This paper discusses the successful implementation of a highly visible company-wide management system and its potential to change managerial and accounting policies, processes and practices in support of organizational goals. Applying the conceptual framework of innovation in organizations, this paper describes the development and deployment process of the NASA Budget Execution Dashboard and the first two fiscal years of its use. It discusses the positive organizational changes triggered by the dashboard, like higher visibility of financial goals and variances between plans and actuals, increased involvement of all management levels in tracking and correcting of plan deviations, establishing comparable data standards across a strongly diversified organization, and enhanced communication between line organizations (NASA Centers) and product organizations (Mission Directorates). The paper also discusses the critical success factors experienced in this project: Strong leadership and division of management roles, rapid and responsive technology development, and frequent communication among stakeholders.

Identifying known unknowns using the US EPA's CompTox Chemistry Dashboard.

PubMed

McEachran, Andrew D; Sobus, Jon R; Williams, Antony J

2017-03-01

Chemical features observed using high-resolution mass spectrometry can be tentatively identified using online chemical reference databases by searching molecular formulae and monoisotopic masses and then rank-ordering of the hits using appropriate relevance criteria. The most likely candidate "known unknowns," which are those chemicals unknown to an investigator but contained within a reference database or literature source, rise to the top of a chemical list when rank-ordered by the number of associated data sources. The U.S. EPA's CompTox Chemistry Dashboard is a curated and freely available resource for chemistry and computational toxicology research, containing more than 720,000 chemicals of relevance to environmental health science. In this research, the performance of the Dashboard for identifying known unknowns was evaluated against that of the online ChemSpider database, one of the primary resources used by mass spectrometrists, using multiple previously studied datasets reported in the peer-reviewed literature totaling 162 chemicals. These chemicals were examined using both applications via molecular formula and monoisotopic mass searches followed by rank-ordering of candidate compounds by associated references or data sources. A greater percentage of chemicals ranked in the top position when using the Dashboard, indicating an advantage of this application over ChemSpider for identifying known unknowns using data source ranking. Additional approaches are being developed for inclusion into a non-targeted analysis workflow as part of the CompTox Chemistry Dashboard. This work shows the potential for use of the Dashboard in exposure assessment and risk decision-making through significant improvements in non-targeted chemical identification. Graphical abstract Identifying known unknowns in the US EPA's CompTox Chemistry Dashboard from molecular formula and monoisotopic mass inputs.

Can hospital dashboards provide visibility of information from bedside to board? A case study approach.

PubMed

Pace, Adriana; Buttigieg, Sandra C

2017-04-10

Purpose The purpose of this paper is to analyse hospital dashboards' visibility of information at different management levels to improve quality and performance in an acute general hospital. Design/methodology/approach Data were generated via 21 semi-structured interviews across different management levels. Findings All management levels had greater visibility of information, could make informed decisions, and registered performance improvement. Specifically, waiting time improved, however since introduction of hospital dashboards was work-in-progress at time of study, managers could not record improvement in terms of cost reductions, clinical effectiveness, patient safety and patient satisfaction. Different managerial levels had different visibility with top management having the greatest. Research limitations/implications In single case studies, where only one context is used, the findings cannot be reproduced in different contexts; even though most of the results could be matched with the current literature. Practical implications The need to have balanced key performance indicators that take into account other facets of improvements, apart from time, has been emphasised. Furthermore, if middle and departmental managers have greater visibility, this would allow them to work towards a strategic fit between the departments that they manage with the rest of the hospital. Originality/value There is scant literature regarding performance dashboards' enhancement of visibility of information at different management levels. Furthermore, according to the authors' knowledge, no other paper has tried to identify and discuss the different levels of information, which should be visible from bedside to board namely to management, clinicians and public.

Application and Survey of Business Intelligence (BI) Tools within the Context of Military Decision Making

DTIC Science & Technology

2012-06-01

International Financial Reporting Standards ( IFRS ) are principles-based Standards, Interpretations and the Framework (1989) adopted by the International...direction of the organization and based on a four- perspective view of the world: Financial measures supported by customer, internal, and learning and...scorecard applications, financial consolidation, and statutory and financial reporting . 27 7. Performance Scorecards and Dashboards Dashboards and

Creation of a simple natural language processing tool to support an imaging utilization quality dashboard.

PubMed

Swartz, Jordan; Koziatek, Christian; Theobald, Jason; Smith, Silas; Iturrate, Eduardo

2017-05-01

Testing for venous thromboembolism (VTE) is associated with cost and risk to patients (e.g. radiation). To assess the appropriateness of imaging utilization at the provider level, it is important to know that provider's diagnostic yield (percentage of tests positive for the diagnostic entity of interest). However, determining diagnostic yield typically requires either time-consuming, manual review of radiology reports or the use of complex and/or proprietary natural language processing software. The objectives of this study were twofold: 1) to develop and implement a simple, user-configurable, and open-source natural language processing tool to classify radiology reports with high accuracy and 2) to use the results of the tool to design a provider-specific VTE imaging dashboard, consisting of both utilization rate and diagnostic yield. Two physicians reviewed a training set of 400 lower extremity ultrasound (UTZ) and computed tomography pulmonary angiogram (CTPA) reports to understand the language used in VTE-positive and VTE-negative reports. The insights from this review informed the arguments to the five modifiable parameters of the NLP tool. A validation set of 2,000 studies was then independently classified by the reviewers and by the tool; the classifications were compared and the performance of the tool was calculated. The tool was highly accurate in classifying the presence and absence of VTE for both the UTZ (sensitivity 95.7%; 95% CI 91.5-99.8, specificity 100%; 95% CI 100-100) and CTPA reports (sensitivity 97.1%; 95% CI 94.3-99.9, specificity 98.6%; 95% CI 97.8-99.4). The diagnostic yield was then calculated at the individual provider level and the imaging dashboard was created. We have created a novel NLP tool designed for users without a background in computer programming, which has been used to classify venous thromboembolism reports with a high degree of accuracy. The tool is open-source and available for download at http://iturrate.com/simpleNLP. Results obtained using this tool can be applied to enhance quality by presenting information about utilization and yield to providers via an imaging dashboard. Copyright © 2017 Elsevier B.V. All rights reserved.

Effects of a computerized feedback intervention on safety performance by junior doctors: results from a randomized mixed method study

PubMed Central

2013-01-01

Background The behaviour of doctors and their responses to warnings can inform the effective design of Clinical Decision Support Systems. We used data from a University hospital electronic prescribing and laboratory reporting system with hierarchical warnings and alerts to explore junior doctors’ behaviour. The objective of this trial was to establish whether a Junior Doctor Dashboard providing feedback on prescription warning information and laboratory alerting acceptance rates was effective in changing junior doctors’ behaviour. Methods A mixed methods approach was employed which included a parallel group randomised controlled trial, and individual and focus group interviews. Junior doctors below the specialty trainee level 3 grade were recruited and randomised to two groups. Every doctor (N = 42) in the intervention group was e-mailed a link to a personal dashboard every week for 4 months. Nineteen participated in interviews. The 44 control doctors did not receive any automated feedback. The outcome measures were the difference in responses to prescribing warnings (of two severities) and laboratory alerting (of two severities) between the months before and the months during the intervention, analysed as the difference in performance between the intervention and the control groups. Results No significant differences were observed in the rates of generating prescription warnings, or in the acceptance of laboratory alarms. However, responses to laboratory alerts differed between the pre-intervention and intervention periods. For the doctors of Foundation Year 1 grade, this improvement was significantly (p = 0.002) greater in the group with access to the dashboard (53.6% ignored pre-intervention compared to 29.2% post intervention) than in the control group (47.9% ignored pre-intervention compared to 47.0% post intervention). Qualitative interview data indicated that while junior doctors were positive about the electronic prescribing functions, they were discriminating in the way they responded to other alerts and warnings given that from their perspective these were not always immediately clinically relevant or within the scope of their responsibility. Conclusions We have only been able to provide weak evidence that a clinical dashboard providing individualized feedback data has the potential to improve safety behaviour and only in one of several domains. The construction of metrics used in clinical dashboards must take account of actual work processes. Trial registration ISRCTN: ISRCTN72253051 PMID:23734871

Designing and developing portable large-scale JavaScript web applications within the Experiment Dashboard framework

NASA Astrophysics Data System (ADS)

Andreeva, J.; Dzhunov, I.; Karavakis, E.; Kokoszkiewicz, L.; Nowotka, M.; Saiz, P.; Tuckett, D.

2012-12-01

Improvements in web browser performance and web standards compliance, as well as the availability of comprehensive JavaScript libraries, provides an opportunity to develop functionally rich yet intuitive web applications that allow users to access, render and analyse data in novel ways. However, the development of such large-scale JavaScript web applications presents new challenges, in particular with regard to code sustainability and team-based work. We present an approach that meets the challenges of large-scale JavaScript web application design and development, including client-side model-view-controller architecture, design patterns, and JavaScript libraries. Furthermore, we show how the approach leads naturally to the encapsulation of the data source as a web API, allowing applications to be easily ported to new data sources. The Experiment Dashboard framework is used for the development of applications for monitoring the distributed computing activities of virtual organisations on the Worldwide LHC Computing Grid. We demonstrate the benefits of the approach for large-scale JavaScript web applications in this context by examining the design of several Experiment Dashboard applications for data processing, data transfer and site status monitoring, and by showing how they have been ported for different virtual organisations and technologies.

Chemistry Dashboard

EPA Pesticide Factsheets

The Chemistry Dashboard is part of a suite of dashboards developed by EPA to help evaluate the safety of chemicals. The Chemistry Dashboard provides access to a variety of information on over 700,000 chemicals currently in use.

The ED-inpatient dashboard: Uniting emergency and inpatient clinicians to improve the efficiency and quality of care for patients requiring emergency admission to hospital.

PubMed

Staib, Andrew; Sullivan, Clair; Jones, Matt; Griffin, Bronwyn; Bell, Anthony; Scott, Ian

2017-06-01

Patients who require emergency admission to hospital require complex care that can be fragmented, occurring in the ED, across the ED-inpatient interface (EDii) and subsequently, in their destination inpatient ward. Our hospital had poor process efficiency with slow transit times for patients requiring emergency care. ED clinicians alone were able to improve the processes and length of stay for the patients discharged directly from the ED. However, improving the efficiency of care for patients requiring emergency admission to true inpatient wards required collaboration with reluctant inpatient clinicians. The inpatient teams were uninterested in improving time-based measures of care in isolation, but they were motivated by improving patient outcomes. We developed a dashboard showing process measures such as 4 h rule compliance rate coupled with clinically important outcome measures such as inpatient mortality. The EDii dashboard helped unite both ED and inpatient teams in clinical redesign to improve both efficiencies of care and patient outcomes. © 2016 Australasian College for Emergency Medicine and Australasian Society for Emergency Medicine.

CompTox Chemistry Dashboard webinar

EPA Pesticide Factsheets

The CompTox Chemistry Dashboard is part of a suite of dashboards developed by EPA to help evaluate the safety of chemicals. The dashboard provides access to a variety of information on over 700,000 chemicals currently in use. Within the application, users

Development of digital dashboard system for medical practice: maximizing efficiency of medical information retrieval and communication.

PubMed

Lee, Kee Hyuck; Yoo, Sooyoung; Shin, HoGyun; Baek, Rong-Min; Chung, Chin Youb; Hwang, Hee

2013-01-01

It is reported that digital dashboard systems in hospitals provide a user interface (UI) that can centrally manage and retrieve various information related to patients in a single screen, support the decision-making of medical professionals on a real time basis by integrating the scattered medical information systems and core work flows, enhance the competence and decision-making ability of medical professionals, and reduce the probability of misdiagnosis. However, the digital dashboard systems of hospitals reported to date have some limitations when medical professionals use them to generally treat inpatients, because those were limitedly used for the work process of certain departments or developed to improve specific disease-related indicators. Seoul National University Bundang Hospital developed a new concept of EMR system to overcome such limitations. The system allows medical professionals to easily access all information on inpatients and effectively retrieve important information from any part of the hospital by displaying inpatient information in the form of digital dashboard. In this study, we would like to introduce the structure, development methodology and the usage of our new concept.

Validation of an automated electronic algorithm and "dashboard" to identify and characterize decompensated heart failure admissions across a medical center.

PubMed

Cox, Zachary L; Lewis, Connie M; Lai, Pikki; Lenihan, Daniel J

2017-01-01

We aim to validate the diagnostic performance of the first fully automatic, electronic heart failure (HF) identification algorithm and evaluate the implementation of an HF Dashboard system with 2 components: real-time identification of decompensated HF admissions and accurate characterization of disease characteristics and medical therapy. We constructed an HF identification algorithm requiring 3 of 4 identifiers: B-type natriuretic peptide >400 pg/mL; admitting HF diagnosis; history of HF International Classification of Disease, Ninth Revision, diagnosis codes; and intravenous diuretic administration. We validated the diagnostic accuracy of the components individually (n = 366) and combined in the HF algorithm (n = 150) compared with a blinded provider panel in 2 separate cohorts. We built an HF Dashboard within the electronic medical record characterizing the disease and medical therapies of HF admissions identified by the HF algorithm. We evaluated the HF Dashboard's performance over 26 months of clinical use. Individually, the algorithm components displayed variable sensitivity and specificity, respectively: B-type natriuretic peptide >400 pg/mL (89% and 87%); diuretic (80% and 92%); and International Classification of Disease, Ninth Revision, code (56% and 95%). The HF algorithm achieved a high specificity (95%), positive predictive value (82%), and negative predictive value (85%) but achieved limited sensitivity (56%) secondary to missing provider-generated identification data. The HF Dashboard identified and characterized 3147 HF admissions over 26 months. Automated identification and characterization systems can be developed and used with a substantial degree of specificity for the diagnosis of decompensated HF, although sensitivity is limited by clinical data input. Copyright © 2016 Elsevier Inc. All rights reserved.

Real-Time Enrollment Dashboard For Multisite Clinical Trials.

PubMed

Mattingly, William A; Kelley, Robert R; Wiemken, Timothy L; Chariker, Julia H; Peyrani, Paula; Guinn, Brian E; Binford, Laura E; Buckner, Kimberley; Ramirez, Julio

2015-10-30

Achieving patient recruitment goals are critical for the successful completion of a clinical trial. We designed and developed a web-based dashboard for assisting in the management of clinical trial screening and enrollment. We use the dashboard to assist in the management of two observational studies of community-acquired pneumonia. Clinical research associates and managers using the dashboard were surveyed to determine its effectiveness as compared with traditional direct communication. The dashboard has been in use since it was first introduced in May of 2014. Of the 23 staff responding to the survey, 77% felt that it was easier or much easier to use the dashboard for communication than to use direct communication. We have designed and implemented a visualization dashboard for managing multi-site clinical trial enrollment in two community acquired pneumonia studies. Information dashboards are a useful tool for clinical trial management. They can be used as a standalone trial information tool or included into a larger management system.

Monitoring the performance of the Southern African Large Telescope

NASA Astrophysics Data System (ADS)

Hettlage, Christian; Coetzee, Chris; Väisänen, Petri; Romero Colmenero, Encarni; Crawford, Steven M.; Kotze, Paul; Rabe, Paul; Hulme, Stephen; Brink, Janus; Maartens, Deneys; Browne, Keith; Strydom, Ockert; De Bruyn, David

2016-07-01

The efficient operation of a telescope requires awareness of its performance on a daily and long-term basis. This paper outlines the Fault Tracker, WebSAMMI and the Dashboard used by the Southern African Large Telescope (SALT) to achieve this aim. Faults are mostly logged automatically, but the Fault Tracker allows users to add and edit faults. The SALT Astronomer and SALT Operator record weather conditions and telescope usage with WebSAMMI. Various efficiency metrics are shown for different time periods on the Dashboard. A kiosk mode for displaying on a public screen is included. Possible applications for other telescopes are discussed.

Software Estimation: Developing an Accurate, Reliable Method

DTIC Science & Technology

2011-08-01

Lake, CA ,93555- 6110 8. PERFORMING ORGANIZATION REPORT NUMBER 9. SPONSORING/MONITORING AGENCY NAME(S) AND ADDRESS(ES) 10. SPONSOR/MONITOR’S ACRONYM(S...Activity, the systems engineering team is responsible for system and software requirements. 2 . Process Dashboard is a software planning and tracking tool... CA 93555- 6110 760-939-6989 Brad Hodgins is an interim TSP Mentor Coach, SEI-Authorized TSP Coach, SEI-Certified PSP/TSP Instructor, and SEI

Internal Medicine Resident Engagement with a Laboratory Utilization Dashboard: Mixed Methods Study.

PubMed

Kurtzman, Gregory; Dine, Jessica; Epstein, Andrew; Gitelman, Yevgenly; Leri, Damien; Patel, Miltesh S; Ryskina, Kyra

2017-09-01

The objective of this study was to measure internal medicine resident engagement with an electronic medical record-based dashboard providing feedback on their use of routine laboratory tests relative to service averages. From January 2016 to June 2016, residents were e-mailed a snapshot of their personalized dashboard, a link to the online dashboard, and text summarizing the resident and service utilization averages. We measured resident engagement using e-mail read-receipts and web-based tracking. We also conducted 3 hour-long focus groups with residents. Using grounded theory approach, the transcripts were analyzed for common themes focusing on barriers and facilitators of dashboard use. Among 80 residents, 74% opened the e-mail containing a link to the dashboard and 21% accessed the dashboard itself. We did not observe a statistically significant difference in routine laboratory ordering by dashboard use, although residents who opened the link to the dashboard ordered 0.26 fewer labs per doctor-patient-day than those who did not (95% confidence interval, -0.77 to 0.25; = 0 .31). While they raised several concerns, focus group participants had positive attitudes toward receiving individualized feedback delivered in real time. © 2017 Society of Hospital Medicine.

Dashboard report on performance on select quality indicators to cancer care providers.

PubMed

Stattin, Pär; Sandin, Fredrik; Sandbäck, Torsten; Damber, Jan-Erik; Franck Lissbrant, Ingela; Robinson, David; Bratt, Ola; Lambe, Mats

2016-01-01

Cancer quality registers are attracting increasing attention as important, but still underutilized sources of clinical data. To optimize the use of registers in quality assurance and improvement, data have to be rapidly collected, collated and presented as actionable, at-a-glance information to the reporting departments. This article presents a dashboard performance report on select quality indicators to cancer care providers. Ten quality indicators registered on an individual patient level in the National Prostate Cancer Register of Sweden and recommended by the National Prostate Cancer Guidelines were selected. Data reported to the National Prostate Cancer Register are uploaded within 24 h to the Information Network for Cancer Care platform. Launched in 2014, "What''s Going On, Prostate Cancer" provides rapid, at-a-glance performance feedback to care providers. The indicators include time to report to the National Prostate Cancer Register, waiting times, designated clinical nurse specialist, multidisciplinary conference, adherence to guidelines for diagnostic work-up and treatment, and documentation and outcome of treatment. For each indicator, three performance levels were defined. What's Going On, a dashboard performance report on 10 selected quality indicators to cancer care providers, provides an example of how data in cancer quality registers can be transformed into condensed, at-a-glance information to be used as actionable metrics for quality assurance and improvement.

Novel, Web-based, information-exploration approach for improving operating room logistics and system processes.

PubMed

Nagy, Paul G; Konewko, Ramon; Warnock, Max; Bernstein, Wendy; Seagull, Jacob; Xiao, Yan; George, Ivan; Park, Adrian

2008-03-01

Routine clinical information systems now have the ability to gather large amounts of data that surgical managers can access to create a seamless and proactive approach to streamlining operations and minimizing delays. The challenge lies in aggregating and displaying these data in an easily accessible format that provides useful, timely information on current operations. A Web-based, graphical dashboard is described in this study, which can be used to interpret clinical operational data, allow managers to see trends in data, and help identify inefficiencies that were not apparent with more traditional, paper-based approaches. The dashboard provides a visual decision support tool that assists managers in pinpointing areas for continuous quality improvement. The limitations of paper-based techniques, the development of the automated display system, and key performance indicators in analyzing aggregate delays, time, specialties, and teamwork are reviewed. Strengths, weaknesses, opportunities, and threats associated with implementing such a program in the perioperative environment are summarized.

How Therapists Use Visualizations of Upper Limb Movement Information From Stroke Patients: A Qualitative Study With Simulated Information

PubMed Central

Fong, Justin; Klaic, Marlena; Nair, Siddharth; Vetere, Frank; Cofré Lizama, L. Eduardo; Galea, Mary Pauline

2016-01-01

Background Stroke is a leading cause of disability worldwide, with upper limb deficits affecting an estimated 30% to 60% of survivors. The effectiveness of upper limb rehabilitation relies on numerous factors, particularly patient compliance to home programs and exercises set by therapists. However, therapists lack objective information about their patients’ adherence to rehabilitation exercises as well as other uses of the affected arm and hand in everyday life outside the clinic. We developed a system that consists of wearable sensor technology to monitor a patient’s arm movement and a Web-based dashboard to visualize this information for therapists. Objective The aim of our study was to evaluate how therapists use upper limb movement information visualized on a dashboard to support the rehabilitation process. Methods An interactive dashboard prototype with simulated movement information was created and evaluated through a user-centered design process with therapists (N=8) at a rehabilitation clinic. Data were collected through observations of therapists interacting with an interactive dashboard prototype, think-aloud data, and interviews. Data were analyzed qualitatively through thematic analysis. Results Therapists use visualizations of upper limb information in the following ways: (1) to obtain objective data of patients’ activity levels, exercise, and neglect outside the clinic, (2) to engage patients in the rehabilitation process through education, motivation, and discussion of experiences with activities of daily living, and (3) to engage with other clinicians and researchers based on objective data. A major limitation is the lack of contextual data, which is needed by therapists to discern how movement data visualized on the dashboard relate to activities of daily living. Conclusions Upper limb information captured through wearable devices provides novel insights for therapists and helps to engage patients and other clinicians in therapy. Consideration needs to be given to the collection and visualization of contextual information to provide meaningful insights into patient engagement in activities of daily living. These findings open the door for further work to develop a fully functioning system and to trial it with patients and clinicians during therapy. PMID:28582257

Automated Reporting of Trainee Metrics Using Electronic Clinical Systems.

PubMed

Levin, Jonathan C; Hron, Jonathan

2017-06-01

The Accreditation Council for Graduate Medical Education has called for increased emphasis on reporting objective performance measures to trainees and programs. However, reporting of objective measures, including clinical volume, is largely omitted from training programs. To use automated electronic medical systems at a tertiary pediatric care hospital to create a dashboard that reports objective trainee and program metrics, including clinical volume and diagnoses in a pediatrics residency. We queried an enterprise data warehouse that aggregates data daily from multiple hospital systems to identify patient encounters during which senior pediatrics residents at Boston Children's Hospital had entered documentation over a 9-month period. From this query, we created a filterable dashboard to display clinical volume and diagnosis data by individual resident and in aggregate. A total of 44 of 45 senior residents (98%) in the program were included in analysis. We identified 12 198 patient encounters during which a senior pediatrics resident had entered documentation; these included a median of 332 inpatient encounters per resident, 122 emergency department encounters, and 84 outpatient encounters. The most common diagnoses stratified by clinical site were: inpatient - dehydration (median = 61); emergency department - long-term/current drug therapy (median = 16); and outpatient - encounter for immunization (median = 48). We used electronic health record systems to generate performance dashboards for trainees in a pediatrics residency across different sites of care with reported volume by diagnosis. Our dashboards provide feedback to program leadership regarding individual and aggregate trainee experience and allow individual trainees to compare their clinical exposure to peers.

Digital dashboard design using multiple data streams for disease surveillance with influenza surveillance as an example.

PubMed

Cheng, Calvin K Y; Ip, Dennis K M; Cowling, Benjamin J; Ho, Lai Ming; Leung, Gabriel M; Lau, Eric H Y

2011-10-14

Great strides have been made exploring and exploiting new and different sources of disease surveillance data and developing robust statistical methods for analyzing the collected data. However, there has been less research in the area of dissemination. Proper dissemination of surveillance data can facilitate the end user's taking of appropriate actions, thus maximizing the utility of effort taken from upstream of the surveillance-to-action loop. The aims of the study were to develop a generic framework for a digital dashboard incorporating features of efficient dashboard design and to demonstrate this framework by specific application to influenza surveillance in Hong Kong. Based on the merits of the national websites and principles of efficient dashboard design, we designed an automated influenza surveillance digital dashboard as a demonstration of efficient dissemination of surveillance data. We developed the system to synthesize and display multiple sources of influenza surveillance data streams in the dashboard. Different algorithms can be implemented in the dashboard for incorporating all surveillance data streams to describe the overall influenza activity. We designed and implemented an influenza surveillance dashboard that utilized self-explanatory figures to display multiple surveillance data streams in panels. Indicators for individual data streams as well as for overall influenza activity were summarized in the main page, which can be read at a glance. Data retrieval function was also incorporated to allow data sharing in standard format. The influenza surveillance dashboard serves as a template to illustrate the efficient synthesization and dissemination of multiple-source surveillance data, which may also be applied to other diseases. Surveillance data from multiple sources can be disseminated efficiently using a dashboard design that facilitates the translation of surveillance information to public health actions.

Design and feasibility of integrating personalized PRO dashboards into prostate cancer care

PubMed Central

Izard, Jason P; Dalkin, Bruce L; Mikles, Sean P; Gore, John L

2016-01-01

Objective Patient-reported outcomes (PROs) are a valued source of health information, but prior work focuses largely on data capture without guidance on visual displays that promote effective PRO use in patient-centered care. We engaged patients, providers, and design experts in human-centered design of “PRO dashboards” that illustrate trends in health-related quality of life (HRQOL) reported by patients following prostate cancer treatment. Materials and Methods We designed and assessed the feasibility of integrating dashboards into care in 3 steps: (1) capture PRO needs of patients and providers through focus groups and interviews; (2) iteratively build and refine a prototype dashboard; and (3) pilot test dashboards with patients and their provider during follow-up care. Results Focus groups (n = 60 patients) prioritized needs for dashboards that compared longitudinal trends in patients’ HRQOL with “men like me.” Of the candidate dashboard designs, 50 patients and 50 providers rated pictographs less helpful than bar charts, line graphs, or tables (P < .001) and preferred bar charts and line graphs most. Given these needs and the design recommendations from our Patient Advisory Board (n = 7) and design experts (n = 7), we built and refined a prototype that charts patients’ HRQOL compared with age- and treatment-matched patients in personalized dashboards. Pilot testing dashboard use (n = 12 patients) improved compliance with quality indicators for prostate cancer care (P < .01). Conclusion PRO dashboards are a promising approach for integrating patient-generated data into prostate cancer care. Informed by human-centered design principles, this work establishes guidance on dashboard content, tailoring, and clinical use that patients and providers find meaningful. PMID:26260247

Digital Dashboard Design Using Multiple Data Streams for Disease Surveillance With Influenza Surveillance as an Example

PubMed Central

Cheng, Calvin KY; Ip, Dennis KM; Cowling, Benjamin J; Ho, Lai Ming; Leung, Gabriel M

2011-01-01

Background Great strides have been made exploring and exploiting new and different sources of disease surveillance data and developing robust statistical methods for analyzing the collected data. However, there has been less research in the area of dissemination. Proper dissemination of surveillance data can facilitate the end user's taking of appropriate actions, thus maximizing the utility of effort taken from upstream of the surveillance-to-action loop. Objective The aims of the study were to develop a generic framework for a digital dashboard incorporating features of efficient dashboard design and to demonstrate this framework by specific application to influenza surveillance in Hong Kong. Methods Based on the merits of the national websites and principles of efficient dashboard design, we designed an automated influenza surveillance digital dashboard as a demonstration of efficient dissemination of surveillance data. We developed the system to synthesize and display multiple sources of influenza surveillance data streams in the dashboard. Different algorithms can be implemented in the dashboard for incorporating all surveillance data streams to describe the overall influenza activity. Results We designed and implemented an influenza surveillance dashboard that utilized self-explanatory figures to display multiple surveillance data streams in panels. Indicators for individual data streams as well as for overall influenza activity were summarized in the main page, which can be read at a glance. Data retrieval function was also incorporated to allow data sharing in standard format. Conclusions The influenza surveillance dashboard serves as a template to illustrate the efficient synthesization and dissemination of multiple-source surveillance data, which may also be applied to other diseases. Surveillance data from multiple sources can be disseminated efficiently using a dashboard design that facilitates the translation of surveillance information to public health actions. PMID:22001082

Human Factors and Modeling Methods in the Development of Control Room Modernization Concepts

DOE Office of Scientific and Technical Information (OSTI.GOV)

Hugo, Jacques V.; Slay III, Lorenzo

nuclear power plants. Although the nuclear industry has made steady improvement in outage optimization, each day of a refueling outage still represents an opportunity to save millions of dollars and each day an outage extends past its planned end date represents millions of dollars that may have been spent unnecessarily. Reducing planned outage duration or preventing outage extensions requires careful management of the outage schedule as well as constant oversight and monitoring of work completion during the outage execution. During a typical outage, there are typically more than 10,000 activities on the schedule that, if not managed efficiently, may causemore » expensive outage delays. Management of outages currently relies largely on paper-based resources and general-purpose office software. A typical tool currently used to monitor work performance is a burn-down curve, where total remaining activities are plotted against the baseline schedule to track bulk work completion progress. While these tools are useful, there is still considerable uncertainty during a typical outage that bulk work progress is adequate and therefore a lot of management time is spent analyzing the situation on a daily basis. This paper describes recent advances made in developing a framework for the design of visual outage information presentation, as well as an overview of the scientific principles that informed the development of the visualizations. To test the utility of advanced visual outage information presentation, an outage management dashboard software application was created as part of the Department of Energy’s Advanced Outage Control Center project. This dashboard is intended to present all the critical information an outage manager would need to understand the current status of a refueling outage. The dashboard presents the critical path, bulk work performance, key performance indicators, outage milestones and metrics relating current performance to historical performance. Additionally, the dashboard includes data analysis tools to allow outage managers to drill down into the underlying data to understand the drivers of the indicators.« less

A Human-Centered Platform for HIV Infection Reduction in New York: Development and Usage Analysis of the Ending the Epidemic (ETE) Dashboard.

PubMed

Joshi, Ashish; Amadi, Chioma; Katz, Benjamin; Kulkarni, Sarah; Nash, Denis

2017-12-11

Dashboards have been increasingly used in clinic-based interventions, such as clinical performance improvement and monitoring risk of hospital readmissions, and are now gaining traction in population-based interventions, especially in disease assessment. We describe the design, development, and usage analysis of a geovisualization dashboard, the Ending the Epidemic (ETE) Dashboard. The ETE dashboard is a tool developed to track New York's progress towards achieving the goal of its ETE Initiative, to reduce new HIV infections from 3000 per year to 750 per year by the end of 2020. The ETE dashboard was adapted from an existing human-centered geovisualization platform, SanaViz, an Internet-enabled, interactive app incorporating principles of human-centered design and cognitive fit theory to enhance visual exploration of population health data. Usage evaluation of the ETE geovisualization dashboard was conducted using Google Analytics over a 4-week period from March 19 to April 18, 2016. The aim was to monitor user activity and analyze traffic on the ETE dashboard using evidence-based metrics that can provide adequate feedback to enhance its utilization. Usage was characterized based on three metrics: (1) number of unique visits to each page, (2) average time on each page in seconds, and (3) page bounce rate (ie, percentage of visits where user left the site immediately after viewing just a single page). Further analysis was also conducted by cross-tabulating specific usage metrics. Of 860 sessions, 324 sessions were initiated by unique users (37.7%). The most common acquisition channels included direct source (353/860, 41.0%); followed by referral traffic (340/860, 39.5%) and organic search (134/860, 15.5%). Usage statistics indicate that for the 860 sessions initiated by both new and returning users, the average viewing time was 8 minutes, 51 seconds, and the bounce rate was 46%. These statistics reflect positive results given that prior literature estimates an average session duration of 10-20 seconds and a bounce rate of 40-60% for most websites. Key findings from our study showed that the highest bounce rates were seen for the "About" page of the ETE website (65%), which describes the ETE initiative. The lowest bounce rates were seen for the ETE blog page (17%), consistent with prior research on website usage metrics that indicate that blog pages are often the most frequently viewed pages on Web portals. Our findings reveal the potential of Google Analytics as a tool to enhance user traffic and performance of the ETE geovisualization platform by using feedback from regular monitoring of key parameters including page bounce rates and average time on page. It also identifies the need for a follow-up usability assessment of the system. ©Ashish Joshi, Chioma Amadi, Benjamin Katz, Sarah Kulkarni, Denis Nash. Originally published in JMIR Public Health and Surveillance (http://publichealth.jmir.org), 11.12.2017.

A Human-Centered Platform for HIV Infection Reduction in New York: Development and Usage Analysis of the Ending the Epidemic (ETE) Dashboard

PubMed Central

Amadi, Chioma; Katz, Benjamin; Kulkarni, Sarah; Nash, Denis

2017-01-01

Background Dashboards have been increasingly used in clinic-based interventions, such as clinical performance improvement and monitoring risk of hospital readmissions, and are now gaining traction in population-based interventions, especially in disease assessment. Objective We describe the design, development, and usage analysis of a geovisualization dashboard, the Ending the Epidemic (ETE) Dashboard. The ETE dashboard is a tool developed to track New York’s progress towards achieving the goal of its ETE Initiative, to reduce new HIV infections from 3000 per year to 750 per year by the end of 2020. Methods The ETE dashboard was adapted from an existing human-centered geovisualization platform, SanaViz, an Internet-enabled, interactive app incorporating principles of human-centered design and cognitive fit theory to enhance visual exploration of population health data. Usage evaluation of the ETE geovisualization dashboard was conducted using Google Analytics over a 4-week period from March 19 to April 18, 2016. The aim was to monitor user activity and analyze traffic on the ETE dashboard using evidence-based metrics that can provide adequate feedback to enhance its utilization. Usage was characterized based on three metrics: (1) number of unique visits to each page, (2) average time on each page in seconds, and (3) page bounce rate (ie, percentage of visits where user left the site immediately after viewing just a single page). Further analysis was also conducted by cross-tabulating specific usage metrics. Results Of 860 sessions, 324 sessions were initiated by unique users (37.7%). The most common acquisition channels included direct source (353/860, 41.0%); followed by referral traffic (340/860, 39.5%) and organic search (134/860, 15.5%). Usage statistics indicate that for the 860 sessions initiated by both new and returning users, the average viewing time was 8 minutes, 51 seconds, and the bounce rate was 46%. These statistics reflect positive results given that prior literature estimates an average session duration of 10-20 seconds and a bounce rate of 40-60% for most websites. Key findings from our study showed that the highest bounce rates were seen for the “About” page of the ETE website (65%), which describes the ETE initiative. The lowest bounce rates were seen for the ETE blog page (17%), consistent with prior research on website usage metrics that indicate that blog pages are often the most frequently viewed pages on Web portals. Conclusions Our findings reveal the potential of Google Analytics as a tool to enhance user traffic and performance of the ETE geovisualization platform by using feedback from regular monitoring of key parameters including page bounce rates and average time on page. It also identifies the need for a follow-up usability assessment of the system. PMID:29229592

Monitoring Results in Routine Immunization: Development of Routine Immunization Dashboard in Selected African Countries in the Context of the Polio Eradication Endgame Strategic Plan.

PubMed

Poy, Alain; van den Ent, Maya M V X; Sosler, Stephen; Hinman, Alan R; Brown, Sidney; Sodha, Samir; Ehlman, Daniel C; Wallace, Aaron S; Mihigo, Richard

2017-07-01

To monitor immunization-system strengthening in the Polio Eradication Endgame Strategic Plan 2013-2018 (PEESP), the Global Polio Eradication Initiative identified 1 indicator: 10% annual improvement in third dose of diphtheria- tetanus-pertussis-containing vaccine (DTP3) coverage in polio high-risk districts of 10 polio focus countries. A multiagency team, including staff from the African Region, developed a comprehensive list of outcome and process indicators measuring various aspects of the performance of an immunization system. The development and implementation of the dashboard to assess immunization system performance allowed national program managers to monitor the key immunization indicators and stratify by high-risk and non-high-risk districts. Although only a single outcome indicator goal (at least 10% annual increase in DTP3 coverage achieved in 80% of high-risk districts) initially existed in the endgame strategy, we successfully added additional outcome indicators (eg, decreasing the number of DTP3-unvaccinated children) as well as program process indicators focusing on cold chain, stock availability, and vaccination sessions to better describe progress on the pathway to raising immunization coverage. When measuring progress toward improving immunization systems, it is helpful to use a comprehensive approach that allows for measuring multiple dimensions of the system. © The Author 2017. Published by Oxford University Press for the Infectious Diseases Society of America.

Toward a Virtual Laboratory to Assess Biodiversity from Data Produced by an Underwater Microscope

NASA Astrophysics Data System (ADS)

Beaulieu, S.; Ball, M.; Futrelle, J.; Sosik, H. M.

2016-12-01

Real-time data from sensors deployed in the ocean are increasingly available online for broad use by scientists, educators, and the public. Such data have previously been limited to physical parameters, but data for biological parameters are becoming more prevalent with the development of new submersible instruments. Imaging FlowCytobot (IFCB), for example, automatically and rapidly acquires images of microscopic algae (phytoplankton) at the base of the food web in marine ecosystems. These images and products from image processing and automated classification are accessible via web services from an IFCB dashboard. However, until now, to process these data further into results representing the biodiversity of the phytoplankton required a complex workflow that could only be executed by scientists involved in the instrument development. Also, because these data have been collected near continuously for a decade, a number of "big data" challenges arise in attempting to implement and reproduce the workflow. Our research is geared toward the development of a virtual laboratory to enable other scientists and educators, as new users of data from this underwater microscope, to generate biodiversity data products. Our solution involves an electronic notebook (Jupyter Notebook) that can be re-purposed by users with some Python programming experience. However, when we scaled the virtual laboratory to accommodate a 2-month example time series (thousands of binned files each representing thousands of images), we needed to expand the execution environment to include batch processing outside of the notebook. We will share how we packaged these tools to share with other scientists to perform their own biodiversity assessment from data available on an IFCB dashboard. Additional outcomes of software development in this project include a prototype for time-series visualizations to be generated in near-real-time and recommendations for new products accessible via web services from the IFCB dashboard.

DASHBOARDS & CONTROL CHARTS EXPERIENCES IN IMPROVING SAFETY AT HANFORD WASHINGTON

DOE Office of Scientific and Technical Information (OSTI.GOV)

PREVETTE, S.S.

2006-02-27

The aim of this paper is to demonstrate the integration of safety methodology, quality tools, leadership, and teamwork at Hanford and their significant positive impact on safe performance of work. Dashboards, Leading Indicators, Control charts, Pareto Charts, Dr. W. Edward Deming's Red Bead Experiment, and Dr. Deming's System of Profound Knowledge have been the principal tools and theory of an integrated management system. Coupled with involved leadership and teamwork, they have led to significant improvements in worker safety and protection, and environmental restoration at one of the nation's largest nuclear cleanup sites.

Concept and implementation of a study dashboard module for a continuous monitoring of trial recruitment and documentation.

PubMed

Toddenroth, Dennis; Sivagnanasundaram, Janakan; Prokosch, Hans-Ulrich; Ganslandt, Thomas

2016-12-01

The difficulty of managing patient recruitment and documentation for clinical trials prompts a demand for instruments for closely monitoring these critical but unpredictable processes. Increasingly adopted Electronic Data Capture (EDC) applications provide novel opportunities to reutilize stored information for an efficient management of traceable trial workflows. In related clinical and administrative settings, so-called digital dashboards that continuously visualize time-dependent parameters have recently met a growing acceptance. To investigate the technical feasibility of a study dashboard for monitoring the progress of patient recruitment and trial documentation, we set out to develop a propositional prototype in the form of a separate software module. After narrowing down functional requirements in semi-structured interviews with study coordinators, we analyzed available interfaces of a locally deployed EDC application, and designed the prototypical study dashboard based on previous findings. The module thereby leveraged a standardized export format in order to extract and import relevant trial data into a clinical data warehouse. Web-based reporting tools then facilitated the definition of diverse views, including diagrams of the progress of patient accrual and form completion at different granularity levels. To estimate the utility of the dashboard and its compatibility with current workflows, we interviewed study coordinators after a demonstration of sample outputs from ongoing trials. The employed tools promoted a rapid development. Displays of the implemented dashboard are organized around an entry page that integrates key metrics for available studies, and which links to more detailed information such as study-specific enrollment per center. The interviewed experts commented that the included graphical summaries appeared suitable for detecting that something was generally amiss, although practical remedies would mostly depend on additional information such as access to the original patient-specific data. The dependency on a separate application was seen as a downside. Interestingly, the prospective users warned that in some situations knowledge of specific accrual statistics might undermine blinding in a subtle yet intricate fashion, so ignorance of certain patient features was seen as sometimes preferable for reproducibility. Our proposed study dashboard graphically recaps key progress indicators of patient accrual and trial documentation. The modular implementation illustrates the technical feasibility of the approach. The use of a study dashboard might introduce certain technical requirements as well as subtle interpretative complexities, which may have to be weighed against potential efficiency gains. Copyright © 2016 Elsevier Inc. All rights reserved.

The radiology digital dashboard: effects on report turnaround time.

PubMed

Morgan, Matthew B; Branstetter, Barton F; Lionetti, David M; Richardson, Jeremy S; Chang, Paul J

2008-03-01

As radiology departments transition to near-complete digital information management, work flows and their supporting informatics infrastructure are becoming increasingly complex. Digital dashboards can integrate separate computerized information systems and summarize key work flow metrics in real time to facilitate informed decision making. A PACS-integrated digital dashboard function designed to alert radiologists to their unsigned report queue status, coupled with an actionable link to the report signing application, resulted in a 24% reduction in the time between transcription and report finalization. The dashboard was well received by radiologists who reported high usage for signing reports. Further research is needed to identify and evaluate other potentially useful work flow metrics for inclusion in a radiology clinical dashboard.

Effect of a population-level performance dashboard intervention on maternal-newborn outcomes: an interrupted time series study.

PubMed

Weiss, Deborah; Dunn, Sandra I; Sprague, Ann E; Fell, Deshayne B; Grimshaw, Jeremy M; Darling, Elizabeth; Graham, Ian D; Harrold, JoAnn; Smith, Graeme N; Peterson, Wendy E; Reszel, Jessica; Lanes, Andrea; Walker, Mark C; Taljaard, Monica

2018-06-01

To assess the effect of the Maternal Newborn Dashboard on six key clinical performance indicators in the province of Ontario, Canada. Interrupted time series using population-based data from the provincial birth registry covering a 3-year period before implementation of the Dashboard and 2.5 years after implementation (November 2009 through March 2015). All hospitals in the province of Ontario providing maternal-newborn care (n=94). A hospital-based online audit and feedback programme. Rates of the six performance indicators included in the Dashboard. 2.5 years after implementation, the audit and feedback programme was associated with statistically significant absolute decreases in the rates of episiotomy (decrease of 1.5 per 100 women, 95% CI 0.64 to 2.39), induction for postdates in women who were less than 41 weeks at delivery (decrease of 11.7 per 100 women, 95% CI 7.4 to 16.0), repeat caesarean delivery in low-risk women performed before 39 weeks (decrease of 10.4 per 100 women, 95% CI 9.3 to 11.5) and an absolute increase in the rate of appropriately timed group B streptococcus screening (increase of 2.8 per 100, 95% CI 2.2 to 3.5). The audit and feedback programme did not significantly affect the rates of unsatisfactory newborn screening blood samples or formula supplementation at discharge. No statistically significant effects were observed for the two internal control outcomes or the four external control indicators-in fact, two external control indicators (episiotomy and postdates induction) worsened relative to before implementation. An electronic audit and feedback programme implemented in maternal-newborn hospitals was associated with clinically relevant practice improvements at the provincial level in the majority of targeted indicators. © 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.

The Dublin Dashboard: Design and Development of a Real-Time Analytical Urban Dashboard

NASA Astrophysics Data System (ADS)

McArdle, G.; Kitchin, R.

2016-09-01

As many cities increase in size across multiple dimensions such as population, economic output and physical size, new methods for understanding and managing cities are required. Data produced by and about urban environments offer insight into what is happening in cities. Real-time data from sensors within the city record current transport and environmental conditions such as noise levels, water levels, journey times and public transport delays. Similarly administrative data such as demographics, employment statistics, property prices and crime rates all provide insight into how a city is evolving. Traditionally, these data were maintained separately and managed by individual city departments. Advances in technology and a move to open-government have placed many of these data in the public domain. Urban dashboards have emerged as a technique to visualise these data in an accessible way. This paper describes the implementation of one such dashboard, the Dublin Dashboard, an interactive website which collects, analyses and visualises data from a variety of sources about Dublin in Ireland through a series of interactive maps, graphs and applications. This paper describes the approach, the data and the technology used to develop the Dublin Dashboard and acts as a guideline for developing urban dashboards in other cities.

Comparative Maps & Dashboards Home | ECHO | US EPA

EPA Pesticide Factsheets

Comparative Maps and Dashboards focus on environmental compliance and enforcement trends at a state and national level. Comparative maps provide a quick cross-country look at key environmental compliance and enforcement indicators. The maps link to dashboards that provide details by state/territory.

Quality Dashboards: Technical and Architectural Considerations of an Actionable Reporting Tool for Population Management

PubMed Central

Olsha-Yehiav, Maya; Einbinder, Jonathan S.; Jung, Eunice; Linder, Jeffrey A.; Greim, Julie; Li, Qi; Schnipper, Jeffrey L.; Middleton, Blackford

2006-01-01

Quality Dashboards (QD) is a condition-specific, actionable web-based application for quality reporting and population management that is integrated into the Electronic Health Record (EHR). Using server-based graphic web controls in a .Net environment to construct Quality Dashboards allows customization of the reporting tool without the need to rely on commercial business intelligence tool. Quality Dashboards will improve patient care and quality outcomes as clinicians utilize the reporting tool for population management. PMID:17238671

Benefit-Risk Monitoring of Vaccines Using an Interactive Dashboard: A Methodological Proposal from the ADVANCE Project.

PubMed

Bollaerts, Kaatje; De Smedt, Tom; Donegan, Katherine; Titievsky, Lina; Bauchau, Vincent

2018-03-26

New vaccines are launched based on their benefit-risk (B/R) profile anticipated from clinical development. Proactive post-marketing surveillance is necessary to assess whether the vaccination uptake and the B/R profile are as expected and, ultimately, whether further public health or regulatory actions are needed. There are several, typically not integrated, facets of post-marketing vaccine surveillance: the surveillance of vaccination coverage, vaccine safety, effectiveness and impact. With this work, we aim to assess the feasibility and added value of using an interactive dashboard as a potential methodology for near real-time monitoring of vaccine coverage and pre-specified health benefits and risks of vaccines. We developed a web application with an interactive dashboard for B/R monitoring. The dashboard is demonstrated using simulated electronic healthcare record data mimicking the introduction of rotavirus vaccination in the UK. The interactive dashboard allows end users to select certain parameters, including expected vaccine effectiveness, age groups, and time periods and allows calculation of the incremental net health benefit (INHB) as well as the incremental benefit-risk ratio (IBRR) for different sets of preference weights. We assessed the potential added value of the dashboard by user testing amongst a range of stakeholders experienced in the post-marketing monitoring of vaccines. The dashboard was successfully implemented and demonstrated. The feedback from the potential end users was generally positive, although reluctance to using composite B/R measures was expressed. The use of interactive dashboards for B/R monitoring is promising and received support from various stakeholders. In future research, the use of such an interactive dashboard will be further tested with real-life data as opposed to simulated data.

Breaking the mould without breaking the system: the development and pilot of a clinical dashboard at The Prince Charles Hospital.

PubMed

Clark, Kevin W; Whiting, Elizabeth; Rowland, Jeffrey; Thompson, Leah E; Missenden, Ian; Schellein, Gerhard

2013-06-01

There is a vast array of clinical and quality data available within healthcare organisations. The availability of this data in a timely and easy to visualise way is an essential component of high-performing healthcare teams. It is recognised that good quality information is a driver of performance for clinical teams and helps ensure best possible care for patients. In 2012 the Internal Medicine Program at The Prince Charles Hospital developed a clinical dashboard that displays locally relevant information alongside relevant hospital and statewide metrics that inform daily clinical decision making. The data reported on the clinical dashboard is driven from data sourced from the electronic patient journey board in real time as well as other Queensland Health data sources. This provides clinicians with easy access to a wealth of local unit data presented in a simple graphical format that is being captured locally and arranged on a single screen so the information can be monitored at a glance. Local unit data informs daily decisions that identify and confirm patient flow problems, assist to identify root causes and enable evaluation of patient flow solutions.

A Dashboard for the Italian Computing in ALICE

NASA Astrophysics Data System (ADS)

Elia, D.; Vino, G.; Bagnasco, S.; Crescente, A.; Donvito, G.; Franco, A.; Lusso, S.; Mura, D.; Piano, S.; Platania, G.; ALICE Collaboration

2017-10-01

A dashboard devoted to the computing in the Italian sites for the ALICE experiment at the LHC has been deployed. A combination of different complementary monitoring tools is typically used in most of the Tier-2 sites: this makes somewhat difficult to figure out at a glance the status of the site and to compare information extracted from different sources for debugging purposes. To overcome these limitations a dedicated ALICE dashboard has been designed and implemented in each of the ALICE Tier-2 sites in Italy: in particular, it provides a single, interactive and easily customizable graphical interface where heterogeneous data are presented. The dashboard is based on two main ingredients: an open source time-series database and a dashboard builder tool for visualizing time-series metrics. Various sensors, able to collect data from the multiple data sources, have been also written. A first version of a national computing dashboard has been implemented using a specific instance of the builder to gather data from all the local databases.

75 FR 26958 - Public Information Collections Approved by The Office of Management and Budget (OMB)

Federal Register 2010, 2011, 2012, 2013, 2014

2010-05-13

.../29/2010. OMB Expiration Date: 09/30/2010. Title: Spectrum Dashboard Customer Feedback. Form No.: N/A... uses, including nationwide broadband deployment. The Commission will use the Spectrum Dashboard... the Spectrum Dashboard (e.g., individuals, licensees, manufacturers, entrepreneurs, industry analysts...

Evaluating an accelerated nursing program: a dashboard for diversity.

PubMed

Schmidt, Bonnie J; MacWilliams, Brent R

2015-01-01

Diversity is a topic of increasing attention in higher education and the nursing workforce. Experts have called for a nursing workforce that mirrors the population it serves. Students in nursing programs in the United States do not reflect our country's diverse population; therefore, much work is needed before that goal can be reached. Diversity cannot be successfully achieved in nursing education without inclusion and attention to quality. The Inclusive Excellence framework can be used by nurse educators to promote inclusion, diversity, and excellence. In this framework, excellence and diversity are linked in an intentional metric-driven process. Accelerated programs offer a possible venue to promote diversity, and one accelerated program is examined using a set of metrics and a dashboard approach commonly used in business settings. Several recommendations were made for future assessment, interventions, and monitoring. Nurse educators are called to examine and adopt a diversity dashboard in all nursing programs. Copyright © 2015 Elsevier Inc. All rights reserved.

Measuring the effectiveness and impact of an open innovation platform.

PubMed

Carroll, Glenn P; Srivastava, Sanjay; Volini, Adam S; Piñeiro-Núñez, Marta M; Vetman, Tatiana

2017-05-01

Today, most pharmaceutical companies complement their traditional R&D models with some variation on the Open Innovation (OI) approach in an effort to better access global scientific talent, ideas and hypotheses. Traditional performance indicators that measure economic returns from R&D through commercialization are often not applicable to the practical assessment of these OI approaches, particularly within the context of early drug discovery. This leaves OI programs focused on early R&D without a standard assessment framework from which to evaluate overall performance. This paper proposes a practical dashboard for such assessment, encompassing quantitative and qualitative elements, to enable decision-making and improvement of future performance. The use of this dashboard is illustrated using real-time data from the Lilly Open Innovation Drug Discovery (OIDD) program. Copyright © 2017 The Author(s). Published by Elsevier Ltd.. All rights reserved.

A biodiversity indicators dashboard: addressing challenges to monitoring progress towards the Aichi biodiversity targets using disaggregated global data.

PubMed

Han, Xuemei; Smyth, Regan L; Young, Bruce E; Brooks, Thomas M; Sánchez de Lozada, Alexandra; Bubb, Philip; Butchart, Stuart H M; Larsen, Frank W; Hamilton, Healy; Hansen, Matthew C; Turner, Will R

2014-01-01

Recognizing the imperiled status of biodiversity and its benefit to human well-being, the world's governments committed in 2010 to take effective and urgent action to halt biodiversity loss through the Convention on Biological Diversity's "Aichi Targets". These targets, and many conservation programs, require monitoring to assess progress toward specific goals. However, comprehensive and easily understood information on biodiversity trends at appropriate spatial scales is often not available to the policy makers, managers, and scientists who require it. We surveyed conservation stakeholders in three geographically diverse regions of critical biodiversity concern (the Tropical Andes, the African Great Lakes, and the Greater Mekong) and found high demand for biodiversity indicator information but uneven availability. To begin to address this need, we present a biodiversity "dashboard"--a visualization of biodiversity indicators designed to enable tracking of biodiversity and conservation performance data in a clear, user-friendly format. This builds on previous, more conceptual, indicator work to create an operationalized online interface communicating multiple indicators at multiple spatial scales. We structured this dashboard around the Pressure-State-Response-Benefit framework, selecting four indicators to measure pressure on biodiversity (deforestation rate), state of species (Red List Index), conservation response (protection of key biodiversity areas), and benefits to human populations (freshwater provision). Disaggregating global data, we present dashboard maps and graphics for the three regions surveyed and their component countries. These visualizations provide charts showing regional and national trends and lay the foundation for a web-enabled, interactive biodiversity indicators dashboard. This new tool can help track progress toward the Aichi Targets, support national monitoring and reporting, and inform outcome-based policy-making for the protection of natural resources.

75 FR 19972 - Public Information Collections Approved by the Office of Management and Budget

Federal Register 2010, 2011, 2012, 2013, 2014

2010-04-16

.... Expiration Date: 09/30/2010. Title: Spectrum Dashboard Customer Feedback. Form No.: N/A. Estimated Annual... Commission will use the Spectrum Dashboard Customer Feedback to obtain voluntary feedback from the wide range of stakeholders who will use the Spectrum Dashboard (e.g., individuals, licensees, manufacturers...

The Omics Dashboard for interactive exploration of gene-expression data.

PubMed

Paley, Suzanne; Parker, Karen; Spaulding, Aaron; Tomb, Jean-Francois; O'Maille, Paul; Karp, Peter D

2017-12-01

The Omics Dashboard is a software tool for interactive exploration and analysis of gene-expression datasets. The Omics Dashboard is organized as a hierarchy of cellular systems. At the highest level of the hierarchy the Dashboard contains graphical panels depicting systems such as biosynthesis, energy metabolism, regulation and central dogma. Each of those panels contains a series of X-Y plots depicting expression levels of subsystems of that panel, e.g. subsystems within the central dogma panel include transcription, translation and protein maturation and folding. The Dashboard presents a visual read-out of the expression status of cellular systems to facilitate a rapid top-down user survey of how all cellular systems are responding to a given stimulus, and to enable the user to quickly view the responses of genes within specific systems of interest. Although the Dashboard is complementary to traditional statistical methods for analysis of gene-expression data, we show how it can detect changes in gene expression that statistical techniques may overlook. We present the capabilities of the Dashboard using two case studies: the analysis of lipid production for the marine alga Thalassiosira pseudonana, and an investigation of a shift from anaerobic to aerobic growth for the bacterium Escherichia coli. © The Author(s) 2017. Published by Oxford University Press on behalf of Nucleic Acids Research.

The Omics Dashboard for interactive exploration of gene-expression data

PubMed Central

Paley, Suzanne; Parker, Karen; Spaulding, Aaron; Tomb, Jean-Francois; O’Maille, Paul

2017-01-01

Abstract The Omics Dashboard is a software tool for interactive exploration and analysis of gene-expression datasets. The Omics Dashboard is organized as a hierarchy of cellular systems. At the highest level of the hierarchy the Dashboard contains graphical panels depicting systems such as biosynthesis, energy metabolism, regulation and central dogma. Each of those panels contains a series of X–Y plots depicting expression levels of subsystems of that panel, e.g. subsystems within the central dogma panel include transcription, translation and protein maturation and folding. The Dashboard presents a visual read-out of the expression status of cellular systems to facilitate a rapid top-down user survey of how all cellular systems are responding to a given stimulus, and to enable the user to quickly view the responses of genes within specific systems of interest. Although the Dashboard is complementary to traditional statistical methods for analysis of gene-expression data, we show how it can detect changes in gene expression that statistical techniques may overlook. We present the capabilities of the Dashboard using two case studies: the analysis of lipid production for the marine alga Thalassiosira pseudonana, and an investigation of a shift from anaerobic to aerobic growth for the bacterium Escherichia coli. PMID:29040755

Baptist Memorial Hospital for Women: quality lifelines for a lifetime.

PubMed

Beard, Cindy; Lilly, Kristen; Poynter, Joni; Thetford, Carol; Thompson, Rosalee; Vaughn, Anita

2006-10-01

At Baptist Women's, a not-for-profit, 140-bed free-standing hospital, the Institute of Medicine's six quality dimensions are embedded into the quality blueprint and strategic plan. Quality initiatives and dashboards are shared through an established shared drive, which is accessible for all employees, to track performance on identified dashboards. IMPROVING MAMMOGRAPHY CYCLE TIME AT THE WOMEN'S HEALTH CENTER: Cycle time (arrival to departure) for mammography was identified as the top improvement priority. Increasing the percentage of patients who had preregistered reduced admission time, and process changes were made to move the patient through the center more efficiently. For example, patients with orders for additional films were flagged to ensure that these exams were completed before a new patient's exam. The ultrasound schedule was blocked during peak times to ensure that add-on exams could be performed in a timely manner. The cycle time was reduced for screening mammography (from 2 hours in 2003 to 30 minutes in April 2006) and diagnostic screenings, including review of films and reports with radiologist at departure, decreased from > 3 hours in 2003 to 2.5 hours in April 2006. Expectations of teamwork, proactive problem resolution, communication on all levels, and customer service are the cornerstone of Baptist Women's culture of quality.

DB4US: A Decision Support System for Laboratory Information Management.

PubMed

Carmona-Cejudo, José M; Hortas, Maria Luisa; Baena-García, Manuel; Lana-Linati, Jorge; González, Carlos; Redondo, Maximino; Morales-Bueno, Rafael

2012-11-14

Until recently, laboratory automation has focused primarily on improving hardware. Future advances are concentrated on intelligent software since laboratories performing clinical diagnostic testing require improved information systems to address their data processing needs. In this paper, we propose DB4US, an application that automates information related to laboratory quality indicators information. Currently, there is a lack of ready-to-use management quality measures. This application addresses this deficiency through the extraction, consolidation, statistical analysis, and visualization of data related to the use of demographics, reagents, and turn-around times. The design and implementation issues, as well as the technologies used for the implementation of this system, are discussed in this paper. To develop a general methodology that integrates the computation of ready-to-use management quality measures and a dashboard to easily analyze the overall performance of a laboratory, as well as automatically detect anomalies or errors. The novelty of our approach lies in the application of integrated web-based dashboards as an information management system in hospital laboratories. We propose a new methodology for laboratory information management based on the extraction, consolidation, statistical analysis, and visualization of data related to demographics, reagents, and turn-around times, offering a dashboard-like user web interface to the laboratory manager. The methodology comprises a unified data warehouse that stores and consolidates multidimensional data from different data sources. The methodology is illustrated through the implementation and validation of DB4US, a novel web application based on this methodology that constructs an interface to obtain ready-to-use indicators, and offers the possibility to drill down from high-level metrics to more detailed summaries. The offered indicators are calculated beforehand so that they are ready to use when the user needs them. The design is based on a set of different parallel processes to precalculate indicators. The application displays information related to tests, requests, samples, and turn-around times. The dashboard is designed to show the set of indicators on a single screen. DB4US was deployed for the first time in the Hospital Costa del Sol in 2008. In our evaluation we show the positive impact of this methodology for laboratory professionals, since the use of our application has reduced the time needed for the elaboration of the different statistical indicators and has also provided information that has been used to optimize the usage of laboratory resources by the discovery of anomalies in the indicators. DB4US users benefit from Internet-based communication of results, since this information is available from any computer without having to install any additional software. The proposed methodology and the accompanying web application, DB4US, automates the processing of information related to laboratory quality indicators and offers a novel approach for managing laboratory-related information, benefiting from an Internet-based communication mechanism. The application of this methodology has been shown to improve the usage of time, as well as other laboratory resources.

EPA Monthly Key Performance Indicator Dashboards 2018

EPA Pesticide Factsheets

2018 reports are added each month, which measure how well EPA web content is meeting three performance goals: increases in how much users consume content, are able to find or discover what they need, and their level of engagement.

Assessing technical performance in differential gene expression experiments with external spike-in RNA control ratio mixtures.

PubMed

Munro, Sarah A; Lund, Steven P; Pine, P Scott; Binder, Hans; Clevert, Djork-Arné; Conesa, Ana; Dopazo, Joaquin; Fasold, Mario; Hochreiter, Sepp; Hong, Huixiao; Jafari, Nadereh; Kreil, David P; Łabaj, Paweł P; Li, Sheng; Liao, Yang; Lin, Simon M; Meehan, Joseph; Mason, Christopher E; Santoyo-Lopez, Javier; Setterquist, Robert A; Shi, Leming; Shi, Wei; Smyth, Gordon K; Stralis-Pavese, Nancy; Su, Zhenqiang; Tong, Weida; Wang, Charles; Wang, Jian; Xu, Joshua; Ye, Zhan; Yang, Yong; Yu, Ying; Salit, Marc

2014-09-25

There is a critical need for standard approaches to assess, report and compare the technical performance of genome-scale differential gene expression experiments. Here we assess technical performance with a proposed standard 'dashboard' of metrics derived from analysis of external spike-in RNA control ratio mixtures. These control ratio mixtures with defined abundance ratios enable assessment of diagnostic performance of differentially expressed transcript lists, limit of detection of ratio (LODR) estimates and expression ratio variability and measurement bias. The performance metrics suite is applicable to analysis of a typical experiment, and here we also apply these metrics to evaluate technical performance among laboratories. An interlaboratory study using identical samples shared among 12 laboratories with three different measurement processes demonstrates generally consistent diagnostic power across 11 laboratories. Ratio measurement variability and bias are also comparable among laboratories for the same measurement process. We observe different biases for measurement processes using different mRNA-enrichment protocols.

Monitoring the Earth System Grid Federation through the ESGF Dashboard

NASA Astrophysics Data System (ADS)

Fiore, S.; Bell, G. M.; Drach, B.; Williams, D.; Aloisio, G.

2012-12-01

The Climate Model Intercomparison Project, phase 5 (CMIP5) is a global effort coordinated by the World Climate Research Programme (WCRP) involving tens of modeling groups spanning 19 countries. It is expected the CMIP5 distributed data archive will total upwards of 3.5 petabytes, stored across several ESGF Nodes on four continents (North America, Europe, Asia, and Australia). The Earth System Grid Federation (ESGF) provides the IT infrastructure to support the CMIP5. In this regard, the monitoring of the distributed ESGF infrastructure represents a crucial part carried out by the ESGF Dashboard. The ESGF Dashboard is a software component of the ESGF stack, responsible for collecting key information about the status of the federation in terms of: 1) Network topology (peer-groups composition), 2) Node type (host/services mapping), 3) Registered users (including their Identity Providers), 4) System metrics (e.g., round-trip time, service availability, CPU, memory, disk, processes, etc.), 5) Download metrics (both at the Node and federation level). The last class of information is very important since it provides a strong insight of the CMIP5 experiment: the data usage statistics. In this regard, CMCC and LLNL have developed a data analytics management system for the analysis of both node-level and federation-level data usage statistics. It provides data usage statistics aggregated by project, model, experiment, variable, realm, peer node, time, ensemble, datasetname (including version), etc. The back-end of the system is able to infer the data usage information of the entire federation, by carrying out: - at node level: a 18-step reconciliation process on the peer node databases (i.e. node manager and publisher DB) which provides a 15-dimension datawarehouse with local statistics and - at global level: an aggregation process which federates the data usage statistics into a 16-dimension datawarehouse with federation-level data usage statistics. The front-end of the Dashboard system exploits a web desktop approach, which joins the pervasivity of a web application with the flexibility of a desktop one.

Structure Identification Using High Resolution Mass Spectrometry Data and the EPAs Chemistry Dashboard (ACS Fall meeting)

EPA Science Inventory

The iCSS Chemistry Dashboard is a publicly accessible dashboard provided by the National Center for Computation Toxicology at the US-EPA. It serves a number of purposes, including providing a chemistry database underpinning many of our public-facing projects (e.g. ToxCast and Exp...

JEDI - an executive dashboard and decision support system for lean global military medical resource and logistics management.

PubMed

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.

CONTROL CHART DASHBOARDS MANAGING YOUR NUMBERS INSTEAD OF YOU NUMBER MANAGING YOU

DOE Office of Scientific and Technical Information (OSTI.GOV)

PREVETTE, S.S.

2006-11-15

This paper, which documents Fluor Hanford's application of Statistical Process Control (SPC) and Dashboards to support planning and decision making, is a sequel to ''Leading with Leading Indicators'' that was presented at WM 05. This year's paper provides more detail on management's use of SPC and control charts and discusses their integration into an executive summary using the popular color-cod3ed dashboard methodology. Fluor Hanford has applied SPC in a non-traditional (that is non-manufacturing) manner. Dr. Shewhart's 75-year-old control-chart methodologies have been updated to modern data processing, but are still founded on his sound, tried and true principles. These methods aremore » playing a key role in safety and quality at what has been called the world's largest environmental cleanup project. The US Department of Energy's (DOE's) Hanford Site played a pivotal role in the nation's defense, beginning in the 1940s when it was established as part of the Manhattan Project. After more than 50 years of producing nuclear weapons, Hanford--which covers 586 square miles in southeastern Washington state--is now focused on three outcomes: (1) restoring the Columbia River corridor for multiple uses; (2) transitioning the central plateau to support long-term waste management; and (3) putting DOE assets to work for the future.« less

Structure Identification Using High Resolution Mass Spectrometry Data and the EPA’s CompTox Chemistry Dashboard (EAS)

EPA Science Inventory

The iCSS CompTox Dashboard is a publicly accessible dashboard provided by the National Center for Computation Toxicology at the US-EPA. It serves a number of purposes, including providing a chemistry database underpinning many of our public-facing projects (e.g. ToxCast and ExpoC...

The EPA CompTox Dashboard and Underpinning Software Architecture – a platform for data integration for environmental chemistry data (ACS Fall Meeting 7 of 12)

EPA Science Inventory

The CompTox Dashboard was developed by the Environmental Protection Agency’s National Center for Computational Toxicology. This dashboard has been architected in a manner that allows for the deployment of multiple “applications”, both as publicly available databases, and for dep...

Effects of Learning Analytics Dashboard: Analyzing the Relations among Dashboard Utilization, Satisfaction, and Learning Achievement

ERIC Educational Resources Information Center

Kim, Jeonghyun; Jo, Il-Hyun; Park, Yeonjeong

2016-01-01

The learning analytics dashboard (LAD) is a newly developed learning support tool for virtual classrooms that is believed to allow students to review their online learning behavior patterns intuitively through the provision of visual information. The purpose of this study was to empirically validate the effects of LAD. An experimental study was…

Pharmacokinetic Dashboard-Recommended Dosing Is Different than Standard of Care Dosing in Infliximab-Treated Pediatric IBD Patients.

PubMed

Dubinsky, Marla C; Phan, Becky L; Singh, Namita; Rabizadeh, Shervin; Mould, Diane R

2017-01-01

Standard of care (SOC; combination of 5-10 mg/kg and an interval every 6-8 weeks) dosing of infliximab (IFX) is associated with significant loss of response. Dashboards using covariates that influence IFX pharmacokinetics (PK) may be a more precise way of optimizing anti-TNF dosing. We tested a prototype dashboard to compare forecasted dosing regimens with actual administered regimens and SOC. Fifty IBD patients completing IFX induction were monitored during maintenance (weeks 14-54). Clinical and laboratory data were collected at each infusion; serum was analyzed for IFX concentrations and anti-drug antibodies (ADA) at weeks 14 and 54 (Prometheus Labs, San Diego). Dosing was blinded to PK data. Dashboard-based assessments were conducted on de-identified clinical, laboratory, and PK data. Bayesian algorithms were used to forecast individualized troughs and determine optimal dosing to maintain target trough concentrations (3 μg/mL). Dashboard forecasted dosing post-week 14 was compared to actual administered dose and frequency and SOC. Using week 14 clinical data only, the dashboard recommended either a dose or an interval change (<0.5 mg/kg or <1 week difference) in 43/50 patients; only 44% recommended to have SOC dosing. When IFX14 concentration and ADA status were added to clinical data, dose and/or interval changes based on actual dosing were recommended in 48/50 (96%) patients; SOC dosing was recommended in only 11/50 (22%). Dashboard recommended SOC IFX dosing in a minority of patients. Dashboards will be an important tool to individualize IFX dosing to improve treatment durability.

The Impact of Visualization Dashboards on Quality of Care and Clinician Satisfaction: Integrative Literature Review.

PubMed

Khairat, Saif Sherif; Dukkipati, Aniesha; Lauria, Heather Alico; Bice, Thomas; Travers, Debbie; Carson, Shannon S

2018-05-31

Intensive Care Units (ICUs) in the United States admit more than 5.7 million people each year. The ICU level of care helps people with life-threatening illness or injuries and involves close, constant attention by a team of specially-trained health care providers. Delay between condition onset and implementation of necessary interventions can dramatically impact the prognosis of patients with life-threatening diagnoses. Evidence supports a connection between information overload and medical errors. A tool that improves display and retrieval of key clinical information has great potential to benefit patient outcomes. The purpose of this review is to synthesize research on the use of visualization dashboards in health care. The purpose of conducting this literature review is to synthesize previous research on the use of dashboards visualizing electronic health record information for health care providers. A review of the existing literature on this subject can be used to identify gaps in prior research and to inform further research efforts on this topic. Ultimately, this evidence can be used to guide the development, testing, and implementation of a new solution to optimize the visualization of clinical information, reduce clinician cognitive overload, and improve patient outcomes. Articles were included if they addressed the development, testing, implementation, or use of a visualization dashboard solution in a health care setting. An initial search was conducted of literature on dashboards only in the intensive care unit setting, but there were not many articles found that met the inclusion criteria. A secondary follow-up search was conducted to broaden the results to any health care setting. The initial and follow-up searches returned a total of 17 articles that were analyzed for this literature review. Visualization dashboard solutions decrease time spent on data gathering, difficulty of data gathering process, cognitive load, time to task completion, errors, and improve situation awareness, compliance with evidence-based safety guidelines, usability, and navigation. Researchers can build on the findings, strengths, and limitations of the work identified in this literature review to bolster development, testing, and implementation of novel visualization dashboard solutions. Due to the relatively few studies conducted in this area, there is plenty of room for researchers to test their solutions and add significantly to the field of knowledge on this subject. ©Saif Sherif Khairat, Aniesha Dukkipati, Heather Alico Lauria, Thomas Bice, Debbie Travers, Shannon S Carson. Originally published in JMIR Human Factors (http://humanfactors.jmir.org), 31.05.2018.

FQC Dashboard: integrates FastQC results into a web-based, interactive, and extensible FASTQ quality control tool

DOE Office of Scientific and Technical Information (OSTI.GOV)

Brown, Joseph; Pirrung, Meg; McCue, Lee Ann

FQC is software that facilitates large-scale quality control of FASTQ files by carrying out a QC protocol, parsing results, and aggregating quality metrics within and across experiments into an interactive dashboard. The dashboard utilizes human-readable configuration files to manipulate the pages and tabs, and is extensible with CSV data.

Using the US EPA's CompTox Dashboard to support identification and screening of emerging organic contaminants in the environment (ACS Spring National meeting) 2 of 7

EPA Science Inventory

The US EPA’s iCSS CompTox Dashboard is a curated, publicly accessible resource provided by the National Center for Computational Toxicology (https://comptox.epa.gov). The Dashboard provides support for toxicology and risk assessment within and external to the EPA (including ToxC...

Mass-Spectrometry Based Structure Identification of "Known-Unknowns" Using the EPA's CompTox Dashboard (ACS Spring National Meeting) 4 of 7

EPA Science Inventory

The CompTox Dashboard is a publicly accessible database provided by the National Center for Computational Toxicology at the US-EPA. The dashboard provides access to a database containing ~720,000 chemicals and integrates a number of our public-facing projects (e.g. ToxCast and Ex...

Using a health and productivity dashboard: a case example.

PubMed

Riedel, John E

2007-01-01

Health and productivity management is complicated and requires some strategies that help simplify the endeavor for employers. The use of a "dashboard" concept implies that raw information about employee health can be arranged in ways that help decision-makers better understand the scope and magnitude of health issues within their work force. In this edition of the Art we look at a case study of the use of a health and productivity dashboard within an employer organization. As health promotion professionals that work in worksite settings struggle with portraying the economic importance of worker health, a health and productivity dashboard (HPD) may provide a very real strategic advantage.

The Global Climate Dashboard: a Software Interface to Stream Comprehensive Climate Data

NASA Astrophysics Data System (ADS)

Gardiner, N.; Phillips, M.; NOAA Climate Portal Dashboard

2011-12-01

The Global Climate Dashboard is an integral component of NOAA's web portal to climate data, services, and value-added content for decision-makers, teachers, and the science-attentive public (www.clmate.gov). The dashboard provides a rapid view of observational data that demonstrate climate change and variability, as well as outputs from the Climate Model Intercomparison Project version 3, which was built to support the Intergovernmental Panel on Climate Change fourth assessment. The data shown in the dashboard therefore span a range of climate science disciplines with applications that serve audiences with diverse needs. The dashboard is designed with reusable software components that allow it to be implemented incrementally on a wide range of platforms including desktops, tablet devices, and mobile phones. The underlying software components support live streaming of data and provide a way of encapsulating graph sytles and other presentation details into a device-independent standard format that results in a common visual look and feel across all platforms. Here we describe the pedagogical objectives, technical implementation, and the deployment of the dashboard through climate.gov and partner web sites and describe plans to develop a mobile application using the same framework.

Relevance of graph literacy in the development of patient-centered communication tools.

PubMed

Nayak, Jasmir G; Hartzler, Andrea L; Macleod, Liam C; Izard, Jason P; Dalkin, Bruce M; Gore, John L

2016-03-01

To determine the literacy skill sets of patients in the context of graphical interpretation of interactive dashboards. We assessed literacy characteristics of prostate cancer patients and assessed comprehension of quality of life dashboards. Health literacy, numeracy and graph literacy were assessed with validated tools. We divided patients into low vs. high numeracy and graph literacy. We report descriptive statistics on literacy, dashboard comprehension, and relationships between groups. We used correlation and multiple linear regressions to examine factors associated with dashboard comprehension. Despite high health literacy in educated patients (78% college educated), there was variation in numeracy and graph literacy. Numeracy and graph literacy scores were correlated (r=0.37). In those with low literacy, graph literacy scores most strongly correlated with dashboard comprehension (r=0.59-0.90). On multivariate analysis, graph literacy was independently associated with dashboard comprehension, adjusting for age, education, and numeracy level. Even among higher educated patients; variation in the ability to comprehend graphs exists. Clinicians must be aware of these differential proficiencies when counseling patients. Tools for patient-centered communication that employ visual displays need to account for literacy capabilities to ensure that patients can effectively engage these resources. Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

Developing an emergency department crowding dashboard: A design science approach.

PubMed

Martin, Niels; Bergs, Jochen; Eerdekens, Dorien; Depaire, Benoît; Verelst, Sandra

2017-08-30

As an emergency department (ED) is a complex adaptive system, the analysis of continuously gathered data is valuable to gain insight in the real-time patient flow. To support the analysis and management of ED operations, relevant data should be provided in an intuitive way. Within this context, this paper outlines the development of a dashboard which provides real-time information regarding ED crowding. The research project underlying this paper follows the principles of design science research, which involves the development and study of artifacts which aim to solve a generic problem. To determine the crowding indicators that are desired in the dashboard, a modified Delphi study is used. The dashboard is implemented using the open source Shinydashboard package in R. A dashboard is developed containing the desired crowding indicators, together with general patient flow characteristics. It is demonstrated using a dataset of a Flemish ED and fulfills the requirements which are defined a priori. The developed dashboard provides real-time information on ED crowding. This information enables ED staff to judge whether corrective actions are required in an effort to avoid the adverse effects of ED crowding. Copyright © 2017 Elsevier Ltd. All rights reserved.

Improving Information Exchange and Coordination amongst Homeland Security Organizations (Briefing Charts)

DTIC Science & Technology

2005-06-01

need for user-defined dashboard • automated monitoring of web data sources • task driven data aggregation and display Working toward automated processing of task, resource, and intelligence updates

Visualizing TZVOLCANO GNSS Data with Grafana via the EarthCube Cyberinfrastructure CHORDS: an Example of Dashboard Creation for the Geosciences

NASA Astrophysics Data System (ADS)

Nguyen, T. T.; Stamps, D. S.

2017-12-01

Visualizing societally relevant data in easy to comprehend formats is necessary for making informed decisions by non-scientist stakeholders. Despite scientists' efforts to inform the public, there continues to be a disconnect in information between stakeholders and scientists. Closing the gap in knowledge requires increased communication between the two groups facilitated by models and data visualizations. In this work we use real-time streaming data from TZVOLCANO, a network of GNSS/GPS sensors that monitor the active volcano Ol Doinyo Lengai in Tanzania, as a test-case for visualizing societally relevant data. Real-time data from TZVOLCANO is streamed into the US NSF Geodesy Facility UNAVCO archive (www.unavco.org) from which data are made available through the EarthCube cyberinfrastructure CHORDS (Cloud-Hosted Real-Time Data Services for the geosciences). CHORDS uses InfluxDB to make streaming data accessible in Grafana: an open source software that specializes in the display of time series analysis. With over 350 downloadable "dashboards", Grafana serves as an emerging software for data visualizations. Creating user-friendly visualizations ("dashboards") for the TZVOLCANO GNSS/GPS data in Tanzania can help scientists and stakeholders communicate effectively so informed decisions can be made about volcanic hazards during a time-sensitive crisis. Our use of Grafana's dashboards for one specific case-study provides an example for other geoscientists to develop analogous visualizations with the objectives of increasing the knowledge of the general public and facilitating a more informed decision-making process.

User-Centered Collaborative Design and Development of an Inpatient Safety Dashboard.

PubMed

Mlaver, Eli; Schnipper, Jeffrey L; Boxer, Robert B; Breuer, Dominic J; Gershanik, Esteban F; Dykes, Patricia C; Massaro, Anthony F; Benneyan, James; Bates, David W; Lehmann, Lisa S

2017-12-01

Patient safety remains a key concern in hospital care. This article summarizes the iterative participatory development, features, functions, and preliminary evaluation of a patient safety dashboard for interdisciplinary rounding teams on inpatient medical services. This electronic health record (EHR)-embedded dashboard collects real-time data covering 13 safety domains through web services and applies logic to generate stratified alerts with an interactive check-box function. The technological infrastructure is adaptable to other EHR environments. Surveyed users perceived the tool as highly usable and useful. Integration of the dashboard into clinical care is intended to promote communication about patient safety and facilitate identification and management of safety concerns. Copyright © 2017 The Joint Commission. All rights reserved.

Namibia Dashboard Enhancements

NASA Technical Reports Server (NTRS)

Mandl, Daniel; Handy, Matthew

2014-01-01

The purpose of this presentation is for a Technical Interchange Meeting with the Namibia Hydrological Services (NHS) in Namibia. The meeting serves as a capacity building exercise. This presentation goes over existing software functionality developed in collaboration with NHS over the past five years called the Namibia Flood Dashboard. Furthermore, it outlines new functionality developed over the past year and future functionality that will be developed. The main purpose of the Dashboard is to assist in decision support for flood warning. The Namibia Flood Dashboard already exists online in a cloud environment and has been used in prototype mode for the past few years.Functionality in the Dashboard includes river gauge hydrographs, TRMM estimate rainfall, EO-1 flood maps, infrastructure maps and other related functions. Future functionality includes attempting to integrate interoperability standards and crowd-sourcing capability. To this end, we are adding OpenStreetMap compatibility and an Applications Program Interface (API) called a GeoSocial API to enable discovery and sharing of data products useful for decision support via social media.

The Future Is Performance Assessment

ERIC Educational Resources Information Center

French, Dan

2017-01-01

As more people question the value of standardized testing, the public appetite for a change in the accountability system grows. A 2016 national survey found that "voters consider standardized tests the least important factor in measuring the performance of students," preferring instead to have a multiple-measures data dashboard of…

Dashboard (in the) knee.

PubMed

Patel, M S; Qureshi, A A; Green, T P

2015-03-01

We present the case of a 19-year-old individual presenting to an orthopaedic outpatient clinic several months following a dashboard knee injury during a road traffic accident with intermittent mechanical symptoms. Despite unremarkable examination findings and normal magnetic resonance imaging, the patient was identified subsequently as having an intra-articular plastic foreign body consistent with a piece of dashboard on arthroscopic knee assessment, the retrieval of which resulted in a complete resolution of symptoms.

[Practice report: the process-based indicator dashboard. Visualising quality assurance results in standardised processes].

PubMed

Petzold, Thomas; Hertzschuch, Diana; Elchlep, Frank; Eberlein-Gonska, Maria

2014-01-01

Process management (PM) is a valuable method for the systematic analysis and structural optimisation of the quality and safety of clinical treatment. PM requires a high motivation and willingness to implement changes of both employees and management. Definition of quality indicators is required to systematically measure the quality of the specified processes. One way to represent comparable quality results is the use of quality indicators of the external quality assurance in accordance with Sect. 137 SGB V—a method which the Federal Joint Committee (GBA) and the institutions commissioned by the GBA have employed and consistently enhanced for more than ten years. Information on the quality of inpatient treatment is available for 30 defined subjects throughout Germany. The combination of specified processes with quality indicators is beneficial for the information of employees. A process-based indicator dashboard provides essential information about the treatment process. These can be used for process analysis. In a continuous consideration of these indicator results values can be determined and errors will be remedied quickly. If due consideration is given to these indicators, they can be used for benchmarking to identify potential process improvements. Copyright © 2014. Published by Elsevier GmbH.

Clinical dashboards: impact on workflow, care quality, and patient safety.

PubMed

Egan, Marie

2006-01-01

There is a vast array of technical data that is continuously generated within the intensive care unit environment. In addition to physiological monitors, there is information being captured by the ventilator, intravenous infusion pumps, medication dispensing units, and even the patient's bed. The ability to retrieve and synchronize data is essential for both clinical documentation and real-time problem solving for individual patients and the intensive care unit population as a whole. Technical advances that permit the integration of all relevant data into a singular display or "dashboard" may improve staff efficiency, accelerate decisions, streamline workflow processes, and reduce oversights and errors in clinical practice. Critical care nurses must coordinate all aspects of care for one or more patients. Clinical data are constantly being retrieved, documented, analyzed, and communicated to others, all within the daily routine of nursing care. In addition, many bedside monitors and devices have alarms systems that must be evaluated throughout the workday, and actions taken on the basis of the patient's condition and other data. It is obvious that the complexity within such care processes presents many potential opportunities for overlooking important details. The capability to systematically and logically link physiological monitors and other selected data sets into a cohesive dashboard system holds tremendous promise for improving care quality, patient safety, and clinical outcomes in the intensive care unit.

Developing Digital Dashboard Management for Learning System Dynamic Cooperative Simulation Behavior of Indonesia. (Study on Cooperative Information Organization in the Ministry of Cooperatives and SME)

NASA Astrophysics Data System (ADS)

Eni, Yuli; Aryanto, Rudy

2014-03-01

There are problems being experienced by the Ministry of cooperatives and SME (Small and Medium Enterprise) including the length of time in the decision by the Government to establish a policy that should be taken for local cooperatives across the province of Indonesia. The decision-making process is still analyzed manually, so that sometimes the decisions taken are also less appropriate, effective and efficient. The second problem is the lack of monitoring data cooperative process province that is too much, making it difficult for the analysis of dynamic information to be useful. Therefore the authors want to fix the system that runs by using digital dashboard management system supported by the modeling of system dynamics. In addition, the author also did the design of a system that can support the system. Design of this system is aimed to ease the experts, head, and the government to decide (DSS - Decision Support System) accurately effectively and efficiently, because in the system are raised alternative simulation in a description of the decision to be taken and the result from the decision. The system is expected to be designed dan simulated can ease and expedite the decision making. The design of dynamic digital dashboard management conducted by method of OOAD (Objects Oriented Analysis and Design) complete with UML notation.

Development of a Disaster Information Visualization Dashboard: A Case Study of Three Typhoons in Taiwan in 2016

NASA Astrophysics Data System (ADS)

Su, Wen-Ray; Tsai, Yuan-Fan; Huang, Kuei-Chin; Hsieh, Ching-En

2017-04-01

To facilitate disaster response and enhance the effectiveness of disaster prevention and relief, people and emergency response personnel should be able to rapidly acquire and understand information when disasters occur. However, in existing disaster platforms information is typically presented in text tables, static charts, and maps with points. These formats do not make it easy for users to understand the overall situation. Therefore, this study converts data into human-readable charts by using data visualization techniques, and builds a disaster information dashboard that is concise, attractive and flexible. This information dashboard integrates temporally and spatially correlated data, disaster statistics according to category and county, lists of disasters, and any other relevant information. The graphs are animated and interactive. The dashboard allows users to filter the data according to their needs and thus to assimilate the information more rapidly. In this study, we applied the information dashboard to the analysis of landslides during three typhoon events in 2016: Typhoon Nepartak, Typhoon Meranti and Typhoon Megi. According to the statistical results in the dashboard, the order of frequency of the disaster categories in all three events combined was rock fall, roadbed loss, slope slump, road blockage and debris flow. Disasters occurred mainly in the areas that received the most rainfall. Typhoons Nepartak and Meranti mainly affected Taitung, and Typhoon Megi mainly affected Kaohsiung. The towns Xiulin, Fengbin, Fenglin and Guangfu in Hualian County were all issued with debris flow warnings in all three typhoon events. The disaster information dashboard developed in this study allows the user to rapidly assess the overall disaster situation. It clearly and concisely reveals interactions between time, space and disaster type, and also provides comprehensive details about the disaster. The dashboard provides a foundation for future disaster visualization, since it can combine and present real-time information of various types; as such it will strengthen decision making in disaster prevention management.

DB4US: A Decision Support System for Laboratory Information Management

PubMed Central

Hortas, Maria Luisa; Baena-García, Manuel; Lana-Linati, Jorge; González, Carlos; Redondo, Maximino; Morales-Bueno, Rafael

2012-01-01

Background Until recently, laboratory automation has focused primarily on improving hardware. Future advances are concentrated on intelligent software since laboratories performing clinical diagnostic testing require improved information systems to address their data processing needs. In this paper, we propose DB4US, an application that automates information related to laboratory quality indicators information. Currently, there is a lack of ready-to-use management quality measures. This application addresses this deficiency through the extraction, consolidation, statistical analysis, and visualization of data related to the use of demographics, reagents, and turn-around times. The design and implementation issues, as well as the technologies used for the implementation of this system, are discussed in this paper. Objective To develop a general methodology that integrates the computation of ready-to-use management quality measures and a dashboard to easily analyze the overall performance of a laboratory, as well as automatically detect anomalies or errors. The novelty of our approach lies in the application of integrated web-based dashboards as an information management system in hospital laboratories. Methods We propose a new methodology for laboratory information management based on the extraction, consolidation, statistical analysis, and visualization of data related to demographics, reagents, and turn-around times, offering a dashboard-like user web interface to the laboratory manager. The methodology comprises a unified data warehouse that stores and consolidates multidimensional data from different data sources. The methodology is illustrated through the implementation and validation of DB4US, a novel web application based on this methodology that constructs an interface to obtain ready-to-use indicators, and offers the possibility to drill down from high-level metrics to more detailed summaries. The offered indicators are calculated beforehand so that they are ready to use when the user needs them. The design is based on a set of different parallel processes to precalculate indicators. The application displays information related to tests, requests, samples, and turn-around times. The dashboard is designed to show the set of indicators on a single screen. Results DB4US was deployed for the first time in the Hospital Costa del Sol in 2008. In our evaluation we show the positive impact of this methodology for laboratory professionals, since the use of our application has reduced the time needed for the elaboration of the different statistical indicators and has also provided information that has been used to optimize the usage of laboratory resources by the discovery of anomalies in the indicators. DB4US users benefit from Internet-based communication of results, since this information is available from any computer without having to install any additional software. Conclusions The proposed methodology and the accompanying web application, DB4US, automates the processing of information related to laboratory quality indicators and offers a novel approach for managing laboratory-related information, benefiting from an Internet-based communication mechanism. The application of this methodology has been shown to improve the usage of time, as well as other laboratory resources. PMID:23608745

Vision Hampton Roads : economic performance measures, 2010 DASHBOARD.

DOT National Transportation Integrated Search

2010-01-01

Mission: Provide leadership to focus on the strategic issues that will improve Hampton Roads' competitive position in the global economy. : Goal: With proper foresight, continuous planning and dynamic economic development, Hampton Roads will be recog...

High-Performance Computing Data Center Efficiency Dashboard | Computational

Science.gov Websites

recovery water (ERW) loop Heat exchanger for energy recovery Thermosyphon Heat exchanger between ERW loop and cooling tower loop Evaporative cooling towers Learn more about our energy-efficient facility

FQC Dashboard: integrates FastQC results into a web-based, interactive, and extensible FASTQ quality control tool

DOE Office of Scientific and Technical Information (OSTI.GOV)

Brown, Joseph; Pirrung, Meg; McCue, Lee Ann

FQC is software that facilitates quality control of FASTQ files by carrying out a QC protocol using FastQC, parsing results, and aggregating quality metrics into an interactive dashboard designed to richly summarize individual sequencing runs. The dashboard groups samples in dropdowns for navigation among the data sets, utilizes human-readable configuration files to manipulate the pages and tabs, and is extensible with CSV data.

FQC Dashboard: integrates FastQC results into a web-based, interactive, and extensible FASTQ quality control tool

DOE PAGES

Brown, Joseph; Pirrung, Meg; McCue, Lee Ann

2017-06-09

FQC is software that facilitates quality control of FASTQ files by carrying out a QC protocol using FastQC, parsing results, and aggregating quality metrics into an interactive dashboard designed to richly summarize individual sequencing runs. The dashboard groups samples in dropdowns for navigation among the data sets, utilizes human-readable configuration files to manipulate the pages and tabs, and is extensible with CSV data.

Control Limits for Building Energy End Use Based on Engineering Judgment, Frequency Analysis, and Quantile Regression

DOE Office of Scientific and Technical Information (OSTI.GOV)

Henze, Gregor P.; Pless, Shanti; Petersen, Anya

2014-02-01

Approaches are needed to continuously characterize the energy performance of commercial buildings to allow for (1) timely response to excess energy use by building operators; and (2) building occupants to develop energy awareness and to actively engage in reducing energy use. Energy information systems, often involving graphical dashboards, are gaining popularity in presenting energy performance metrics to occupants and operators in a (near) real-time fashion. Such an energy information system, called Building Agent, has been developed at NREL and incorporates a dashboard for public display. Each building is, by virtue of its purpose, location, and construction, unique. Thus, assessing buildingmore » energy performance is possible only in a relative sense, as comparison of absolute energy use out of context is not meaningful. In some cases, performance can be judged relative to average performance of comparable buildings. However, in cases of high-performance building designs, such as NREL's Research Support Facility (RSF) discussed in this report, relative performance is meaningful only when compared to historical performance of the facility or to a theoretical maximum performance of the facility as estimated through detailed building energy modeling.« less

An Intuitive Dashboard for Bayesian Network Inference

NASA Astrophysics Data System (ADS)

Reddy, Vikas; Charisse Farr, Anna; Wu, Paul; Mengersen, Kerrie; Yarlagadda, Prasad K. D. V.

2014-03-01

Current Bayesian network software packages provide good graphical interface for users who design and develop Bayesian networks for various applications. However, the intended end-users of these networks may not necessarily find such an interface appealing and at times it could be overwhelming, particularly when the number of nodes in the network is large. To circumvent this problem, this paper presents an intuitive dashboard, which provides an additional layer of abstraction, enabling the end-users to easily perform inferences over the Bayesian networks. Unlike most software packages, which display the nodes and arcs of the network, the developed tool organises the nodes based on the cause-and-effect relationship, making the user-interaction more intuitive and friendly. In addition to performing various types of inferences, the users can conveniently use the tool to verify the behaviour of the developed Bayesian network. The tool has been developed using QT and SMILE libraries in C++.

SOCR data dashboard: an integrated big data archive mashing medicare, labor, census and econometric information.

PubMed

Husain, Syed S; Kalinin, Alexandr; Truong, Anh; Dinov, Ivo D

Intuitive formulation of informative and computationally-efficient queries on big and complex datasets present a number of challenges. As data collection is increasingly streamlined and ubiquitous, data exploration, discovery and analytics get considerably harder. Exploratory querying of heterogeneous and multi-source information is both difficult and necessary to advance our knowledge about the world around us. We developed a mechanism to integrate dispersed multi-source data and service the mashed information via human and machine interfaces in a secure, scalable manner. This process facilitates the exploration of subtle associations between variables, population strata, or clusters of data elements, which may be opaque to standard independent inspection of the individual sources. This a new platform includes a device agnostic tool (Dashboard webapp, http://socr.umich.edu/HTML5/Dashboard/) for graphical querying, navigating and exploring the multivariate associations in complex heterogeneous datasets. The paper illustrates this core functionality and serviceoriented infrastructure using healthcare data (e.g., US data from the 2010 Census, Demographic and Economic surveys, Bureau of Labor Statistics, and Center for Medicare Services) as well as Parkinson's Disease neuroimaging data. Both the back-end data archive and the front-end dashboard interfaces are continuously expanded to include additional data elements and new ways to customize the human and machine interactions. A client-side data import utility allows for easy and intuitive integration of user-supplied datasets. This completely open-science framework may be used for exploratory analytics, confirmatory analyses, meta-analyses, and education and training purposes in a wide variety of fields.

Improving Operational System Performance of Internet of Things (IoT) in Indonesia Telecomunication Company

NASA Astrophysics Data System (ADS)

Dachyar, M.; Risky, S. A.

2014-06-01

Telecommunications company have to improve their business performance despite of the increase customers every year. In Indonesia, the telecommunication company have provided best services, improving operational systems by designing a framework for operational systems of the Internet of Things (IoT) other name of Machine to Machine (M2M). This study was conducted with expert opinion which further processed by the Analytic Hierarchy Process (AHP) to obtain important factor for organizations operational systems, and the Interpretive Structural Modeling (ISM) to determine factors of organization which found drives the biggest power. This study resulted, the greatest weight of SLA & KPI handling problems. The M2M current dashboard and current M2M connectivity have power to affect other factors and has important function for M2M operations roomates system which can be effectively carried out.

Ontario: linking nursing outcomes, workload and staffing decisions in the workplace: the Dashboard Project.

PubMed

Fram, Nancy; Morgan, Beverley

2012-03-01

Research shows that nurses want to provide more input into assessing patient acuity, changes in patient needs and staffing requirements. The Dashboard Project involved the further development and application of an electronic monitoring tool that offers a single source of nursing, patient and organizational information. It is designed to help inform nurse staffing decisions within a hospital setting. The Dashboard access link was installed in computers in eight nursing units within the Hamilton Health Sciences (HHS) network. The Dashboard indicators are populated from existing information/patient databases within the Decision Support Department at HHS. Committees composed of the unit manager, staff nurses, project coordinator, financial controller and an information controller met regularly to review the Dashboard indicators. Participants discussed the ability of the indicators to reflect their patients' needs and the feasibility of using the indicators to inform their clinical staffing plans. Project findings suggest that the Dashboard is a work in progress. Many of the indicators that had originally been incorporated were refined and will continue to be revised based on suggestions from project participants and further testing across HHS. Participants suggested the need for additional data, such as the time that nurses are off the unit (for code blue response, patient transfers and accompanying patients for tests); internal transfers/bed moves to accommodate patient-specific issues and particularly to address infection control issues; deaths and specific unit-centred data in addition to the generic indicators. The collaborative nature of the project enabled staff nurses and management to work together on a matter of high importance to both, providing valuable recommendations for shared nursing and interprofessional planning, further Dashboard development and project management.

Effect of a Real-Time Electronic Dashboard on a Rapid Response System.

PubMed

Fletcher, Grant S; Aaronson, Barry A; White, Andrew A; Julka, Reena

2017-11-20

A rapid response system (RRS) may have limited effectiveness when inpatient providers fail to recognize signs of early patient decompensation. We evaluated the impact of an electronic medical record (EMR)-based alerting dashboard on outcomes associated with RRS activation. We used a repeated treatment study in which the dashboard display was successively turned on and off each week for ten 2-week cycles over a 20-week period on the inpatient acute care wards of an academic medical center. The Rapid Response Team (RRT) dashboard displayed all hospital patients in a single view ranked by severity score, updated in real time. The dashboard could be seen within the EMR by any provider, including RRT members. The primary outcomes were the incidence rate ratio (IRR) of all RRT activations, unexpected ICU transfers, cardiopulmonary arrests and deaths on general medical-surgical wards (wards). We conducted an exploratory analysis of first RRT activations. There were 6736 eligible admissions during the 20-week study period. There was no change in overall RRT activations (IRR = 1.14, p = 0.07), but a significant increase in first RRT activations (IRR = 1.20, p = 0.04). There were no significant differences in unexpected ICU transfers (IRR = 1.15, p = 0.25), cardiopulmonary arrests on general wards (IRR = 1.46, p = 0.43), or deaths on general wards (IRR = 0.96, p = 0.89). The introduction of the RRT dashboard was associated with increased initial RRT activations but not overall activations, unexpected ICU transfers, cardiopulmonary arrests, or death. The RRT dashboard is a novel tool to help providers recognize patient decompensation and may improve initial RRT notification.

Interactive Chemical Safety for Sustainablity Toxicity Forecaster Dashboard

EPA Pesticide Factsheets

EPA researchers have been using advances in computational toxicology to address lack of data on the thousands of chemicals. EPA released chemical data on 1,800 chemicals. The 1,800 chemicals were screened in more than 800 rapid, automated tests (called high-throughput screening assays) to determine potential human health effects. The data is available through the interactive Chemical Safety for Sustainability Dashboards (iCSS dashboard) and the complete data sets are also available for download.

Database Performance Monitoring for the Photovoltaic Systems

DOE Office of Scientific and Technical Information (OSTI.GOV)

Klise, Katherine A.

The Database Performance Monitoring (DPM) software (copyright in processes) is being developed at Sandia National Laboratories to perform quality control analysis on time series data. The software loads time indexed databases (currently csv format), performs a series of quality control tests defined by the user, and creates reports which include summary statistics, tables, and graphics. DPM can be setup to run on an automated schedule defined by the user. For example, the software can be run once per day to analyze data collected on the previous day. HTML formatted reports can be sent via email or hosted on a website.more » To compare performance of several databases, summary statistics and graphics can be gathered in a dashboard view which links to detailed reporting information for each database. The software can be customized for specific applications.« less

Evaluating the Implementation of a Twitter-Based Foodborne Illness Reporting Tool in the City of St. Louis Department of Health.

PubMed

Harris, Jenine K; Hinyard, Leslie; Beatty, Kate; Hawkins, Jared B; Nsoesie, Elaine O; Mansour, Raed; Brownstein, John S

2018-04-24

Foodborne illness is a serious and preventable public health problem affecting 1 in 6 Americans with cost estimates over $50 billion annually. Local health departments license and inspect restaurants to ensure food safety and respond to reports of suspected foodborne illness. The City of St. Louis Department of Health adopted the HealthMap Foodborne Dashboard (Dashboard), a tool that monitors Twitter for tweets about food poisoning in a geographic area and allows the health department to respond. We evaluated the implementation by interviewing employees of the City of St. Louis Department of Health involved in food safety. We interviewed epidemiologists, environmental health specialists, health services specialists, food inspectors, and public information officers. Participants viewed engaging innovation participants and executing the innovation as challenges while they felt the Dashboard had relative advantage over existing reporting methods and was not complex once in place. This study is the first to examine practitioner perceptions of the implementation of a new technology in a local health department. Similar implementation projects should focus more on process by developing clear and comprehensive plans to educate and involve stakeholders prior to implementation.

Bringing customers into the boardroom.

PubMed

McGovern, Gail J; Court, David; Quelch, John A; Crawford, Blair

2004-11-01

Misguided marketing strategies have destroyed more shareholder value than shoddy accounting or shady fiscal practices. Yet marketing functions typically reside deep in the organization, far from the executive suite and boardroom, and they are often poorly aligned with corporate strategy. Boards of directors, it would seem, have compelling reasons to monitor their companies' marketing activities. The authors argue that boards lack a clear understanding of how their companies are meeting customers' needs and how their marketing strategies drive (or often fail to drive) top-line growth. To help remedy that problem, they've devised a "marketing dashboard," a series of management reports that could give the board this critical knowledge. The dashboard has three parts, each of which the board should review regularly. The first part tracks the company's main business drivers--those business conditions that, when manipulated or otherwise changed, will directly and predictably affect the company's performance. The second part describes the specific innovations in a pipeline of growth ideas that will allow the company to reach its short- and long-term revenue goals. And the third part provides an overview of the company's marketing skill set so the board can determine not only if the company has enough marketing talent but also if it has the right marketing talent. Unlike isolated measures of marketing performance that are often insufficient, irrelevant, or misleading, the dashboard allows the board to quickly and routinely assess the effectiveness of its company's marketing strategies. Armed with a clear understanding of marketing's role and performance, the board can expose inadequate marketing campaigns, direct management to address the problem, and monitor progress.

Comparative Performance Data for Critical Access Hospitals

ERIC Educational Resources Information Center

Pink, George H.; Slifkin, Rebecca T.; Coburn, Andrew F.; Gale, John A.

2004-01-01

Context: Among small rural hospitals, there is a growing recognition of the need to measure and report on the use of resources and the safety and quality of the services provided. Dashboards, clinical value compasses, and balanced scorecards are approaches to performance measurement that have been adopted by many health care organizations.…

Public dashboard

DOT National Transportation Integrated Search

2003-03-19

This website provides information on road construction projects in Virginia. The Dashboard is divided into four sections. The far left hand column is referred to as the Advertisement Section. This column deals with planned projects that are being pre...

ToxCast Dashboard

EPA Pesticide Factsheets

The ToxCast Dashboard helps users examine high-throughput assay data to inform chemical safety decisions. To date, it has data on over 9,000 chemicals and information from more than 1,000 high-throughput assay endpoint components.

RapidTox Dashboard

EPA Pesticide Factsheets

The ToxCast Dashboard helps users examine high-throughput assay data to inform chemical safety decisions. To date, it has data on over 9,000 chemicals and information from more than 1,000 high-throughput assay endpoint components.

Development and validation of an automated ventilator-associated event electronic surveillance system: A report of a successful implementation.

PubMed

Hebert, Courtney; Flaherty, Jennifer; Smyer, Justin; Ding, Jing; Mangino, Julie E

2018-03-01

Surveillance is an important tool for infection control; however, this task can often be time-consuming and take away from infection prevention activities. With the increasing availability of comprehensive electronic health records, there is an opportunity to automate these surveillance activities. The objective of this article is to describe the implementation of an electronic algorithm for ventilator-associated events (VAEs) at a large academic medical center METHODS: This article reports on a 6-month manual validation of a dashboard for VAEs. We developed a computerized algorithm for automatically detecting VAEs and compared the output of this algorithm to the traditional, manual method of VAE surveillance. Manual surveillance by the infection preventionists identified 13 possible and 11 probable ventilator-associated pneumonias (VAPs), and the VAE dashboard identified 16 possible and 13 probable VAPs. The dashboard had 100% sensitivity and 100% accuracy when compared with manual surveillance for possible and probable VAP. We report on the successfully implemented VAE dashboard. Workflow of the infection preventionists was simplified after implementation of the dashboard with subjective time-savings reported. Implementing a computerized dashboard for VAE surveillance at a medical center with a comprehensive electronic health record is feasible; however, this required significant initial and ongoing work on the part of data analysts and infection preventionists. Copyright © 2018 Association for Professionals in Infection Control and Epidemiology, Inc. Published by Elsevier Inc. All rights reserved.

Measuring quality in maternal-newborn care: developing a clinical dashboard.

PubMed

Sprague, Ann E; Dunn, Sandra I; Fell, Deshayne B; Harrold, Joann; Walker, Mark C; Kelly, Sherrie; Smith, Graeme N

2013-01-01

Pregnancy, birth, and the early newborn period are times of high use of health care services. As well as opportunities for providing quality care, there are potential missed opportunities for health promotion, safety issues, and increased costs for the individual and the system when quality is not well defined or measured. There has been a need to identify key performance indicators (KPIs) to measure quality care within the provincial maternal-newborn system. We also wanted to provide automated audit and feedback about these KPIs to support quality improvement initiatives in a large Canadian province with approximately 140 000 births per year. We therefore worked to develop a maternal-newborn dashboard to increase awareness about selected KPIs and to inform and support hospitals and care providers about areas for quality improvement. We mapped maternal-newborn data elements to a quality domain framework, sought feedback via survey for the relevance and feasibility of change, and examined current data and the literature to assist in setting provincial benchmarks. Six clinical performance indicators of maternal-newborn quality care were identified and evidence-informed benchmarks were set. A maternal-newborn dashboard with "drill down" capacity for detailed analysis to enhance audit and feedback is now available for implementation. While audit and feedback does not guarantee individuals or institutions will make practice changes and move towards quality improvement, it is an important first step. Practice change and quality improvement will not occur without an awareness of the issues.

The CompTox Chemistry Dashboard: a community data resource for environmental chemistry.

PubMed

Williams, Antony J; Grulke, Christopher M; Edwards, Jeff; McEachran, Andrew D; Mansouri, Kamel; Baker, Nancy C; Patlewicz, Grace; Shah, Imran; Wambaugh, John F; Judson, Richard S; Richard, Ann M

2017-11-28

Despite an abundance of online databases providing access to chemical data, there is increasing demand for high-quality, structure-curated, open data to meet the various needs of the environmental sciences and computational toxicology communities. The U.S. Environmental Protection Agency's (EPA) web-based CompTox Chemistry Dashboard is addressing these needs by integrating diverse types of relevant domain data through a cheminformatics layer, built upon a database of curated substances linked to chemical structures. These data include physicochemical, environmental fate and transport, exposure, usage, in vivo toxicity, and in vitro bioassay data, surfaced through an integration hub with link-outs to additional EPA data and public domain online resources. Batch searching allows for direct chemical identifier (ID) mapping and downloading of multiple data streams in several different formats. This facilitates fast access to available structure, property, toxicity, and bioassay data for collections of chemicals (hundreds to thousands at a time). Advanced search capabilities are available to support, for example, non-targeted analysis and identification of chemicals using mass spectrometry. The contents of the chemistry database, presently containing ~ 760,000 substances, are available as public domain data for download. The chemistry content underpinning the Dashboard has been aggregated over the past 15 years by both manual and auto-curation techniques within EPA's DSSTox project. DSSTox chemical content is subject to strict quality controls to enforce consistency among chemical substance-structure identifiers, as well as list curation review to ensure accurate linkages of DSSTox substances to chemical lists and associated data. The Dashboard, publicly launched in April 2016, has expanded considerably in content and user traffic over the past year. It is continuously evolving with the growth of DSSTox into high-interest or data-rich domains of interest to EPA, such as chemicals on the Toxic Substances Control Act listing, while providing the user community with a flexible and dynamic web-based platform for integration, processing, visualization and delivery of data and resources. The Dashboard provides support for a broad array of research and regulatory programs across the worldwide community of toxicologists and environmental scientists.

Dashboard Videos

NASA Astrophysics Data System (ADS)

Gleue, Alan D.; Depcik, Chris; Peltier, Ted

2012-11-01

Last school year, I had a web link emailed to me entitled "A Dashboard Physics Lesson." The link, created and posted by Dale Basier on his Lab Out Loud blog, illustrates video of a car's speedometer synchronized with video of the road. These two separate video streams are compiled into one video that students can watch and analyze. After seeing this website and video, I decided to create my own dashboard videos to show to my high school physics students. I have produced and synchronized 12 separate dashboard videos, each about 10 minutes in length, driving around the city of Lawrence, KS, and Douglas County, and posted them to a website.2 Each video reflects different types of driving: both positive and negative accelerations and constant speeds. As shown in Fig. 1, I was able to capture speed, distance, and miles per gallon from my dashboard instrumentation. By linking this with a stopwatch, each of these quantities can be graphed with respect to time. I anticipate and hope that teachers will find these useful in their own classrooms, i.e., having physics students watch the videos and create their own motion maps (distance-time, speed-time) for study.

Structure Identification Using High Resolution Mass ...

EPA Pesticide Factsheets

The iCSS CompTox Dashboard is a publicly accessible dashboard provided by the National Center for Computation Toxicology at the US-EPA. It serves a number of purposes, including providing a chemistry database underpinning many of our public-facing projects (e.g. ToxCast and ExpoCast). The available data and searches provide a valuable path to structure identification using mass spectrometry as the source data. With an underlying database of over 720,000 chemicals, the dashboard has already been used to assist in identifying chemicals present in house dust. This poster reviews the benefits of the EPA’s platform and underlying algorithms used for the purpose of compound identification using high-resolution mass spectrometry data. Standard approaches for both mass and formula lookup are available but the dashboard delivers a novel approach for hit ranking based on functional use of the chemicals. The focus on high-quality data, novel ranking approaches and integration to other resources of value to mass spectrometrists makes the CompTox Dashboard a valuable resource for the identification of environmental chemicals. This abstract does not reflect U.S. EPA policy poster presented at the Eastern Analytical Symposium (EAS) held in Somerset, NJ

Making the pediatric perioperative surgical home come to life by leveraging existing health information technology.

PubMed

Leahy, Izabela C; Borczuk, Rachel; Ferrari, Lynne R

2017-06-01

To design a patient data dashboard for the Department of Anesthesiology, Perioperative and Pain Medicine at Boston Children's Hospital that supports care integration across the healthcare system as described by the pediatric perioperative surgical home (PPSH) initiative. By using 360 Technology, patient data was automatically pulled from all available Electronic Health Record sources from 2005 to the present. The PPSH dashboard described in this report provides a guide for implementation of PPSH Clinical Care Pathways. The dashboard integrates several databases to allow for visual longitudinal tracking of patient care, outcomes, and cost. The integration of electronic information provided the ability to display, compare, and analyze selected PPSH metrics in real time. By utilizing the PPSH dashboard format the use of an automated, integrated clinical, and financial health data profile for a specific patient population may improve clinicians' ability to have a comprehensive assessment of all care elements. This more global clinical thinking has the potential to produce bottom-up, evidence-based healthcare reform. The experience with the PPSH dashboard provides solid evidence for the use of integrated Electronic Health Record to improve patient outcomes and decrease cost.

Uptake of a Dashboard Designed to Give Realtime Feedback to a Sentinel Network About Key Data Required for Influenza Vaccine Effectiveness Studies.

PubMed

Pathirannehelage, Sameera; Kumarapeli, Pushpa; Byford, Rachel; Yonova, Ivelina; Ferreira, Filipa; de Lusignan, Simon

2018-01-01

Dashboards are technologies that bringing together a range of data sources for observational or analytical purposes. We have created a customised dashboard that includes all the key data elements required for monitoring flu vaccine effectiveness (FVE). This delivers a unique dashboard for each primary care provider (general practice) providing data to the Royal College of General Practitioners (RCGP) Research and Surveillance Centre (RSC), one of the oldest European surveillance systems. These FVE studies use a test negative case control (TNCC) design. TNCC requires knowledge of practice denominator; vaccine exposure, and results of influenza virology swabs carried out to identify in an influenza-like-illness (ILI), a clinical diagnosis, really is influenza. The dashboard displays the denominator uploaded each week into the surveillance system, compared with the nationally known practice size (providing face-validity for the denominator); it identifies those exposed to the vaccine (by age group and risk category) and virology specimens taken and missed opportunities for surveillance (again by category). All sentinel practices can access in near real time (4 working days in areas) their rates of vaccine exposure and swabs conducted. Initial feedback is positive; 80% (32/40) practices responded positively.

The Need for Data-Informed Clinical Supervision in Substance Use Disorder Treatment

PubMed Central

Ramsey, Alex T.; Baumann, Ana; Silver Wolf, David Patterson; Yan, Yan; Cooper, Ben; Proctor, Enola

2017-01-01

Background Effective clinical supervision is necessary for high-quality care in community-based substance use disorder treatment settings, yet little is known about current supervision practices. Some evidence suggests that supervisors and counselors differ in their experiences of clinical supervision; however, the impact of this misalignment on supervision quality is unclear. Clinical information monitoring systems may support supervision in substance use disorder treatment, but the potential use of these tools must first be explored. Aims First, this study examines the extent to which misaligned supervisor-counselor perceptions impact supervision satisfaction and emphasis on evidence-based treatments. This study also reports on formative work to develop a supervision-based clinical dashboard, an electronic information monitoring system and data visualization tool providing real-time clinical information to engage supervisors and counselors in a coordinated and data-informed manner, help align supervisor-counselor perceptions about supervision, and improve supervision effectiveness. Methods Clinical supervisors and frontline counselors (N=165) from five Midwestern agencies providing substance abuse services completed an online survey using Research Electronic Data Capture (REDCap) software, yielding a 75% response rate. Valid quantitative measures of supervision effectiveness were assessed, along with qualitative perceptions of a supervision-based clinical dashboard. Results Through within-dyad analyses, misalignment between supervisor and counselor perceptions of supervision practices was negatively associated with satisfaction of supervision and reported frequency of discussing several important clinical supervision topics, including evidence-based treatments and client rapport. Participants indicated the most useful clinical dashboard functions and reported important benefits and challenges to using the proposed tool. Discussion Clinical supervision tends to be largely an informal and unstructured process in substance abuse treatment, which may compromise the quality of care. Clinical dashboards may be a well-targeted approach to facilitate data-informed clinical supervision in community-based treatment agencies. PMID:28166480

The need for data-informed clinical supervision in substance use disorder treatment.

PubMed

Ramsey, Alex T; Baumann, Ana; Patterson Silver Wolf, David; Yan, Yan; Cooper, Ben; Proctor, Enola

2017-01-01

Effective clinical supervision is necessary for high-quality care in community-based substance use disorder treatment settings, yet little is known about current supervision practices. Some evidence suggests that supervisors and counselors differ in their experiences of clinical supervision; however, the impact of this misalignment on supervision quality is unclear. Clinical information monitoring systems may support supervision in substance use disorder treatment, but the potential use of these tools must first be explored. First, the current study examines the extent to which misaligned supervisor-counselor perceptions impact supervision satisfaction and emphasis on evidence-based treatments. This study also reports on formative work to develop a supervision-based clinical dashboard, an electronic information monitoring system and data visualization tool providing real-time clinical information to engage supervisors and counselors in a coordinated and data-informed manner, help align supervisor-counselor perceptions about supervision, and improve supervision effectiveness. Clinical supervisors and frontline counselors (N = 165) from five Midwestern agencies providing substance abuse services completed an online survey using Research Electronic Data Capture software, yielding a 75% response rate. Valid quantitative measures of supervision effectiveness were administered, along with qualitative perceptions of a supervision-based clinical dashboard. Through within-dyad analyses, misalignment between supervisor and counselor perceptions of supervision practices was negatively associated with satisfaction of supervision and reported frequency of discussing several important clinical supervision topics, including evidence-based treatments and client rapport. Participants indicated the most useful clinical dashboard functions and reported important benefits and challenges to using the proposed tool. Clinical supervision tends to be largely an informal and unstructured process in substance abuse treatment, which may compromise the quality of care. Clinical dashboards may be a well-targeted approach to facilitate data-informed clinical supervision in community-based treatment agencies.

Processing of the WLCG monitoring data using NoSQL

NASA Astrophysics Data System (ADS)

Andreeva, J.; Beche, A.; Belov, S.; Dzhunov, I.; Kadochnikov, I.; Karavakis, E.; Saiz, P.; Schovancova, J.; Tuckett, D.

2014-06-01

The Worldwide LHC Computing Grid (WLCG) today includes more than 150 computing centres where more than 2 million jobs are being executed daily and petabytes of data are transferred between sites. Monitoring the computing activities of the LHC experiments, over such a huge heterogeneous infrastructure, is extremely demanding in terms of computation, performance and reliability. Furthermore, the generated monitoring flow is constantly increasing, which represents another challenge for the monitoring systems. While existing solutions are traditionally based on Oracle for data storage and processing, recent developments evaluate NoSQL for processing large-scale monitoring datasets. NoSQL databases are getting increasingly popular for processing datasets at the terabyte and petabyte scale using commodity hardware. In this contribution, the integration of NoSQL data processing in the Experiment Dashboard framework is described along with first experiences of using this technology for monitoring the LHC computing activities.

Financial dashboard reporting for the hospital industry.

PubMed

Cleverley, W O

2001-01-01

Most senior executives and board members experience information overload in their decision making roles. They simply receive an excessive amount of unrelated data that is not benchmarked to standards that enable them to make effective decisions. This is an unfortunate situation given the information technology and the availability of public data that exists today. Many firms in a variety of industry sectors have combined the concept of "balanced scorecards" with "dashboard" reporting to revamp their senior level executive reporting systems. A sample dashboard reporting system for a hospital is outlined in this paper.

A Biodiversity Indicators Dashboard: Addressing Challenges to Monitoring Progress towards the Aichi Biodiversity Targets Using Disaggregated Global Data

PubMed Central

Han, Xuemei; Smyth, Regan L.; Young, Bruce E.; Brooks, Thomas M.; Sánchez de Lozada, Alexandra; Bubb, Philip; Butchart, Stuart H. M.; Larsen, Frank W.; Hamilton, Healy; Hansen, Matthew C.; Turner, Will R.

2014-01-01

Recognizing the imperiled status of biodiversity and its benefit to human well-being, the world's governments committed in 2010 to take effective and urgent action to halt biodiversity loss through the Convention on Biological Diversity's “Aichi Targets”. These targets, and many conservation programs, require monitoring to assess progress toward specific goals. However, comprehensive and easily understood information on biodiversity trends at appropriate spatial scales is often not available to the policy makers, managers, and scientists who require it. We surveyed conservation stakeholders in three geographically diverse regions of critical biodiversity concern (the Tropical Andes, the African Great Lakes, and the Greater Mekong) and found high demand for biodiversity indicator information but uneven availability. To begin to address this need, we present a biodiversity “dashboard” – a visualization of biodiversity indicators designed to enable tracking of biodiversity and conservation performance data in a clear, user-friendly format. This builds on previous, more conceptual, indicator work to create an operationalized online interface communicating multiple indicators at multiple spatial scales. We structured this dashboard around the Pressure-State-Response-Benefit framework, selecting four indicators to measure pressure on biodiversity (deforestation rate), state of species (Red List Index), conservation response (protection of key biodiversity areas), and benefits to human populations (freshwater provision). Disaggregating global data, we present dashboard maps and graphics for the three regions surveyed and their component countries. These visualizations provide charts showing regional and national trends and lay the foundation for a web-enabled, interactive biodiversity indicators dashboard. This new tool can help track progress toward the Aichi Targets, support national monitoring and reporting, and inform outcome-based policy-making for the protection of natural resources. PMID:25409183

Development of a web based monitoring system for safety and activity analysis in operating theatres.

PubMed

Frosini, Francesco; Miniati, Roberto; Avezzano, Paolo; Cecconi, Giulio; Dori, Fabrizio; Gentili, Guido Biffi; Belardinelli, Andrea

2016-01-01

The management and the monitoring of the operating rooms on the part of the general management have the objective of optimizing their use and maximizing the internal safety. The expenses owed to their safe use represent, besides reimbursements coming from the surgical activity, important factors for the analysis of the medical facility. Given that it is not possible to reduce the safety, it is necessary to develop supporting systems with the aim to enhance and optimize the use of the rooms. The developed analysis model of the operating rooms in this study is based on the specific performance indicators and allows the effective monitoring of both the parameters that influence the safety (environmental, microbiological parameters) and those that influence the efficiency of the usage (employment rate, delays, necessary formalities, etc.). This allows you to have a systematic dashboard on hand for all of the OTs and, thus, organize the intervention schedules and more appropriate improvements. A monitoring dashboard has been achieved, accessible from any platform and any device, capable of aggregating hospital information. The undertaken organizational modifications, through the use of the dashboard, have allowed for an average annual savings of 29.52 minutes per intervention and increase the use of the ORs of 5%. The increment of the employment rate and the optimization of the operating room have allowed for savings of around $299,88 for every intervention carried out in 2013, corresponding to an annual savings of $343,362,60. Integration dashboards, as the one proposed in this study as a prototype, represent a governance model of economically sustainable healthcare systems capable of guiding the hospital management in the choices and in the implementation of the most efficient organizational modifications.

CTD2 Dashboard: a searchable web interface to connect validated results from the Cancer Target Discovery and Development Network

PubMed Central

Aksoy, Bülent Arman; Dančík, Vlado; Smith, Kenneth; Mazerik, Jessica N.; Ji, Zhou; Gross, Benjamin; Nikolova, Olga; Jaber, Nadia; Califano, Andrea; Schreiber, Stuart L.; Gerhard, Daniela S.; Hermida, Leandro C.; Jagu, Subhashini

2017-01-01

Abstract The Cancer Target Discovery and Development (CTD2) Network aims to use functional genomics to accelerate the translation of high-throughput and high-content genomic and small-molecule data towards use in precision oncology. As part of this goal, and to share its conclusions with the research community, the Network developed the ‘CTD2 Dashboard’ [https://ctd2-dashboard.nci.nih.gov/], which compiles CTD2 Network-generated conclusions, termed ‘observations’, associated with experimental entities, collected by its member groups (‘Centers’). Any researcher interested in learning about a given gene, protein, or compound (a ‘subject’) studied by the Network can come to the CTD2 Dashboard to quickly and easily find, review, and understand Network-generated experimental results. In particular, the Dashboard allows visitors to connect experiments about the same target, biomarker, etc., carried out by multiple Centers in the Network. The Dashboard’s unique knowledge representation allows information to be compiled around a subject, so as to become greater than the sum of the individual contributions. The CTD2 Network has broadly defined levels of validation for evidence (‘Tiers’) pertaining to a particular finding, and the CTD2 Dashboard uses these Tiers to indicate the extent to which results have been validated. Researchers can use the Network’s insights and tools to develop a new hypothesis or confirm existing hypotheses, in turn advancing the findings towards clinical applications. Database URL: https://ctd2-dashboard.nci.nih.gov/ PMID:29220450

Novel web-based real-time dashboard to optimize recycling and use of red cell units at a large multi-site transfusion service.

PubMed

Sharpe, Christopher; Quinn, Jason G; Watson, Stephanie; Doiron, Donald; Crocker, Bryan; Cheng, Calvino

2014-01-01

Effective blood inventory management reduces outdates of blood products. Multiple strategies have been employed to reduce the rate of red blood cell (RBC) unit outdate. We designed an automated real-time web-based dashboard interfaced with our laboratory information system to effectively recycle red cell units. The objective of our approach is to decrease RBC outdate rates within our transfusion service. The dashboard was deployed in August 2011 and is accessed by a shortcut that was placed on the desktops of all blood transfusion services computers in the Capital District Health Authority region. It was designed to refresh automatically every 10 min. The dashboard provides all vital information on RBC units, and implemented a color coding scheme to indicate an RBC unit's proximity to expiration. The overall RBC unit outdate rate in the 7 months period following implementation of the dashboard (September 2011-March 2012) was 1.24% (123 units outdated/9763 units received), compared to similar periods in 2010-2011 and 2009-2010: 2.03% (188/9395) and 2.81% (261/9220), respectively. The odds ratio of a RBC unit outdate postdashboard (2011-2012) compared with 2010-2011 was 0.625 (95% confidence interval: 0.497-0.786; P < 0.0001). Our dashboard system is an inexpensive and novel blood inventory management system which was associated with a significant reduction in RBC unit outdate rates at our institution over a period of 7 months. This system, or components of it, could be a useful addition to existing RBC management systems at other institutions.

Proteogenomics Dashboard for the Human Proteome Project.

PubMed

Tabas-Madrid, Daniel; Alves-Cruzeiro, Joao; Segura, Victor; Guruceaga, Elizabeth; Vialas, Vital; Prieto, Gorka; García, Carlos; Corrales, Fernando J; Albar, Juan Pablo; Pascual-Montano, Alberto

2015-09-04

dasHPPboard is a novel proteomics-based dashboard that collects and reports the experiments produced by the Spanish Human Proteome Project consortium (SpHPP) and aims to help HPP to map the entire human proteome. We have followed the strategy of analog genomics projects like the Encyclopedia of DNA Elements (ENCODE), which provides a vast amount of data on human cell lines experiments. The dashboard includes results of shotgun and selected reaction monitoring proteomics experiments, post-translational modifications information, as well as proteogenomics studies. We have also processed the transcriptomics data from the ENCODE and Human Body Map (HBM) projects for the identification of specific gene expression patterns in different cell lines and tissues, taking special interest in those genes having little proteomic evidence available (missing proteins). Peptide databases have been built using single nucleotide variants and novel junctions derived from RNA-Seq data that can be used in search engines for sample-specific protein identifications on the same cell lines or tissues. The dasHPPboard has been designed as a tool that can be used to share and visualize a combination of proteomic and transcriptomic data, providing at the same time easy access to resources for proteogenomics analyses. The dasHPPboard can be freely accessed at: http://sphppdashboard.cnb.csic.es.

Developing a dashboard to help measure and achieve the triple aim: a population-based cohort study.

PubMed

Seow, Hsien-Yeang; Sibley, Lyn M

2014-08-30

Health system planners aim to pursue the three goals of Triple Aim: 1) reduce health care costs; 2) improve population health; and 3) improve the care experience. Moreover, they also need measures that can reliably predict future health care needs in order to manage effectively the health system performance. Yet few measures exist to assess Triple Aim and predict future needs at a health system level. The purpose of this study is to explore the novel application of a case-mix adjustment method in order to measure and help improve the Triple Aim of health system performance. We applied a case-mix adjustment method to a population-based analysis to assess its usefulness as a measure of health system performance and Triple Aim. The study design was a retrospective, cohort study of adults from Ontario, Canada using administrative databases: individuals were assigned a predicted illness burden score using a case-mix adjustment system from diagnoses and health utilization data in 2008, and then followed forward to assess the actual health care utilization and costs in the following year (2009). We applied the Johns Hopkins Adjusted Clinical Group (ACG) Case-Mix System to categorize individuals into 60 levels of healthcare need, called ACGs. The outcomes were: 1) Number of individuals per ACG; 2) Total system costs per ACG; and 3) Mean cost per person per ACG, which together formed a health system "dashboard". We identified 11.4 million adults. 16.1% were aged 65 or older, 3.2 million (28%) did not use health care services that year, and 45,000 (0.4%) were in the highest acuity ACG category using 12 times more than an average adult. The sickest 1%, 5% and 15% of the population use about 10%, 30% and 50% of total health system costs respectively. The dashboard measures 2 dimensions of Triple Aim: 1) reduced costs: when total system costs per ACG or when average costs per person is reduced; and 2) improved population health: when more people move into healthier rather than sicker ACGs. It can help to achieve the third aim, improved care experience, when ACG utilization predictions are reported to providers to proactively develop care plans. The dashboard, developed via case-mix methods, measures 2 of the Triple Aim goals and can help health system planners better manage their health delivery systems.

Identifying known unknowns using the US EPA's CompTox ...

EPA Pesticide Factsheets

Chemical features observed using high-resolution mass spectrometry can be tentatively identified using online chemical reference databases by searching molecular formulae and monoisotopic masses and then rank-ordering of the hits using appropriate relevance criteria. The most likely candidate “known unknowns,” which are those chemicals unknown to an investigator but contained within a reference database or literature source, rise to the top of a chemical list when rank-ordered by the number of associated data sources. The U.S. EPA’s CompTox Chemistry Dashboard is a curated and freely available resource for chemistry and computational toxicology research, containing more than 720,000 chemicals of relevance to environmental health science. In this research, the performance of the Dashboard for identifying “known unknowns” was evaluated against that of the online ChemSpider database, one of the primary resources used by mass spectrometrists, using multiple previously studied datasets reported in the peer-reviewed literature totaling 162 chemicals. These chemicals were examined using both applications via molecular formula and monoisotopic mass searches followed by rank-ordering of candidate compounds by associated references or data sources. A greater percentage of chemicals ranked in the top position when using the Dashboard, indicating an advantage of this application over ChemSpider for identifying known unknowns using data source ranking. Addition

A quantitative visual dashboard to explore exposures to consumer product ingredients

EPA Science Inventory

The Exposure Prioritization (Ex Priori) model features a simplified, quantitative visual dashboard to explore exposures across chemical space. Diverse data streams are integrated within the interface such that different exposure scenarios for “individual,” “pop...

Dashboard Task Monitor for Managing ATLAS User Analysis on the Grid

NASA Astrophysics Data System (ADS)

Sargsyan, L.; Andreeva, J.; Jha, M.; Karavakis, E.; Kokoszkiewicz, L.; Saiz, P.; Schovancova, J.; Tuckett, D.; Atlas Collaboration

2014-06-01

The organization of the distributed user analysis on the Worldwide LHC Computing Grid (WLCG) infrastructure is one of the most challenging tasks among the computing activities at the Large Hadron Collider. The Experiment Dashboard offers a solution that not only monitors but also manages (kill, resubmit) user tasks and jobs via a web interface. The ATLAS Dashboard Task Monitor provides analysis users with a tool that is independent of the operating system and Grid environment. This contribution describes the functionality of the application and its implementation details, in particular authentication, authorization and audit of the management operations.

How NASA Utilizes Dashboards to Help Ensure Mission Success

NASA Technical Reports Server (NTRS)

Blakeley, Chris

2013-01-01

NASA is actively planning to expand human spaceflight and robotic exploration beyond low Earth orbit. To prepare for the challenge of exploring these destinations in space, NASA conducts missions here on Earth in remote locations that have physical similarities to extreme space environments. Program managers for the Advanced Exploration Systems program requested a simple way to track financial information to ensure that each task stayed within their budgetary constraints. Using SAP BusinessObjects Dashboards (Formerly Xcelsius), a dashboard was created to satisfy all of their key requirements. Lessons learned, along with some tips and tricks, will be highlighted during this session.

A web-based dashboard for the high-level monitoring of ALMA

NASA Astrophysics Data System (ADS)

Pietriga, Emmanuel; Filippi, Giorgio; Véliz, Luis; del Campo, Fernando; Ibsen, Jorge

2014-07-01

The ALMA radio-telescope's operations depend on the availability of high-level, easy-to-understand status information about all of its components. The ALMA Dashboard aims at providing an all-in-one-place near-real-time overview of the observatory's key elements and figures to both line and senior management. The Dashboard covers a wide range of elements beyond antennas, such as pads, correlator and central local oscillator. Data can be displayed in multiple ways, including: a table view, a compact view fitting on a single screen, a timeline showing detailed information over time, a logbook, a geographical map.

Real-Time Electronic Dashboard Technology and Its Use to Improve Pediatric Radiology Workflow.

PubMed

Shailam, Randheer; Botwin, Ariel; Stout, Markus; Gee, Michael S

The purpose of our study was to create a real-time electronic dashboard in the pediatric radiology reading room providing a visual display of updated information regarding scheduled and in-progress radiology examinations that could help radiologists to improve clinical workflow and efficiency. To accomplish this, a script was set up to automatically send real-time HL7 messages from the radiology information system (Epic Systems, Verona, WI) to an Iguana Interface engine, with relevant data regarding examinations stored in an SQL Server database for visual display on the dashboard. Implementation of an electronic dashboard in the reading room of a pediatric radiology academic practice has led to several improvements in clinical workflow, including decreasing the time interval for radiologist protocol entry for computed tomography or magnetic resonance imaging examinations as well as fewer telephone calls related to unprotocoled examinations. Other advantages include enhanced ability of radiologists to anticipate and attend to examinations requiring radiologist monitoring or scanning, as well as to work with technologists and operations managers to optimize scheduling in radiology resources. We foresee increased utilization of electronic dashboard technology in the future as a method to improve radiology workflow and quality of patient care. Copyright © 2017 Elsevier Inc. All rights reserved.

Making Metrics Matter: How to Use Indicators to Govern Effectively

ERIC Educational Resources Information Center

Allen, Clyde; Bacow, Lawrence S.; Trombley, Laura Skandera

2011-01-01

Many institutions develop specific measures or indicators--often called "dashboards"--to inform boards and top administrators about the college or university's current situation and performance and assist them in moving the institution ahead strategically. And, increasingly, institutions are using metrics not only to assess internal…

User Evaluation of Biospice

DTIC Science & Technology

2006-10-01

pipe facilities). The Dashboard is based on the NetBeans application platform, a Java-based tool kit. Tools may be written in any language...manner loosely analogous to UNIX shells (especially with respect to UNIX pipe facilities). The Dashboard is based on the NetBeans application

Effect of a Real-Time Pediatric ICU Safety Bundle Dashboard on Quality Improvement Measures.

PubMed

Shaw, Susanna J; Jacobs, Brian; Stockwell, David C; Futterman, Craig; Spaeder, Michael C

2015-09-01

Patient daily goal sheets have been shown to improve compliance with hospital policies but might not represent the dynamic nature of care delivery in the pediatric ICU (PICU) setting. A study was conducted at Children's National Health System (Washington, DC) to determine the effect of a visible, unitwide, real-time dashboard on timeliness of compliance with quality and safety measures. An automated electronic health record (EHR)- querying tool was created to assess compliance with a PICU Safety Bundle. Querying of the EHR for compliance and updating of the dashboard automatically occurred every five minutes. A real-time visual display showed data on presence of consent for treatment, restraint orders, presence of urinary catheters, deep venous thrombosis (DVT) prophylaxis, Braden Q score, and medication reconciliation. Baseline compliance and duration of noncompliance was established during three time periods: the first, before activation of the dashboard; the second, at one month following activation of the dashboard; and the third, at three months after activation. A total of 450 patients were included in the analysis. Between the first and third time periods, the median time from PICU admission to obtaining treatment consent decreased by 49%, from 393 to 202 minutes (p=.05). The number of patients with urinary catheters in place>96 hours decreased from 16 (32%) in Period 1 to 11 (19%) for Periods 2 and 3 combined (p=.01). Completion of medication reconciliation improved from 80% in the first time period to 93% and 92%, respectively, in the subsequent two periods (p=.002). There was no difference between the three periods in presence of restraint orders, DVT prophylaxis, or development or worsening of pressure ulcers. A unitwide dashboard can increase awareness for potential interventions, affecting patient safety in the PICU in a dynamic manner.

Implementation of a real-time compliance dashboard to help reduce SICU ventilator-associated pneumonia with the ventilator bundle.

PubMed

Zaydfudim, Victor; Dossett, Lesly A; Starmer, John M; Arbogast, Patrick G; Feurer, Irene D; Ray, Wayne A; May, Addison K; Pinson, C Wright

2009-07-01

Ventilator-associated pneumonia (VAP) causes significant morbidity and mortality in critically ill surgical patients. Recent studies suggest that the success of preventive measures is dependent on compliance with ventilator bundle parameters. Implementation of an electronic dashboard will improve compliance with the bundle parameters and reduce rates of VAP in our surgical intensive care unit (SICU). Time series analysis of VAP rates between January 2005 and July 2008, with dashboard implementation in July 2007. Multidisciplinary SICU at a tertiary-care referral center with a stable case mix during the study period. Patients admitted to the SICU between January 2005 and July 2008. Infection control data were used to establish rates of VAP and total ventilator days. For the time series analysis, VAP rates were calculated as quarterly VAP events per 1000 ventilator days. Ventilator bundle compliance was analyzed after dashboard implementation. Differences between expected and observed VAP rates based on time series analysis were used to estimate the effect of intervention. Average compliance with the ventilator bundle improved from 39% in August 2007 to 89% in July 2008 (P < .001). Rates of VAP decreased from a mean (SD) of 15.2 (7.0) to 9.3 (4.9) events per 1000 ventilator days after introduction of the dashboard (P = .01). Quarterly VAP rates were significantly reduced in the November 2007 through January 2008 and February through April 2008 periods (P < .05). For the August through October 2007 and May through July 2008 quarters, the observed rate reduction was not statistically significant. Implementation of an electronic dashboard improved compliance with ventilator bundle measures and is associated with reduced rates of VAP in our SICU.

Development of a Web-Based Quality Dashboard Including a Toolbox to Improve Pain Management in Dutch Intensive Care.

PubMed

Roos-Blom, Marie-José; Gude, Wouter T; de Jonge, Evert; Spijkstra, Jan Jaap; van der Veer, Sabine N; Dongelmans, Dave A; de Keizer, Nicolette F

2017-01-01

Audit and feedback (A&F) is a common strategy to improve quality of care. Meta-analyses have indicated that A&F may be more effective in realizing desired change when baseline performance is low, it is delivered by a supervisor or colleague, it is provided frequently and in a timely manner, it is delivered in both verbal and written formats, and it includes specific targets and an action plan. However, there is little information to guide operationalization of these factors. Researchers have consequently called for A&F interventions featuring well-described and carefully justified components, with their theoretical rationale made explicit. This paper describes the rationale and development of a quality dashboard including an improvement toolbox for four previous developed pain indicators, guided by Control Theory.

Mobilizing EPA's Comptox Chemistry Dashboard Data on Mobile Devices (ACS Spring Meeting)

EPA Science Inventory

The EPA’s National Center of Computational Toxicology (NCCT) Chemistry Dashboard provides access to chemistry data for about 720,000 chemical substances. The application is used to source, for example: physicochemical property data, bioassay screening data and functional use, and...

Thermal and fluid simulation of the environment under the dashboard, compared with measurement data

NASA Astrophysics Data System (ADS)

Popescu, C. S.; Sirbu, G. M.; Nita, I. C.

2017-10-01

The development of vehicles during the last decade is related to the evolution of electronic systems added in order to increase the safety and the number of services available on board, such as advanced driver-assistance systems (ADAS). Cars already have a complex computer network, with electronic control units (ECUs) connected to each other and receiving information from many sensors. The ECUs transfer an important heat power to the environment, while proper operating conditions need to be provided to ensure their reliability at high and low temperature, vibration and humidity. In a car cabin, electronic devices are usually placed in the compartment under the dashboard, an enclosed space designed for functional purposes. In the early stages of the vehicle design it has become necessary to analyse the environment under dashboard, by the use of Computational Fluid Dynamics (CFD) simulations and measurements. This paper presents the cooling of heat sinks by natural convection, a thermal and fluid simulation of the environment under the dashboard compared with test data.

Social Intelligence: Next Generation Business Intelligence

DOE Office of Scientific and Technical Information (OSTI.GOV)

Troy Hiltbrand

In order for Business Intelligence to truly move beyond where it is today, a shift in approach must occur. Currently, much of what is accomplished in the realm of Business Intelligence relies on reports and dashboards to summarize and deliver information to end users. As we move into the future, we need to get beyond these reports and dashboards to a point where we break out the individual metrics that are embedded in these reports and interact with these components independently. Breaking these pieces of information out of the confines of reports and dashboards will allow them to be dynamicallymore » assembled for delivery in the way that makes most sense to each consumer. With this change in ideology, Business Intelligence will move from the concept of collections of objects, or reports and dashboards, to individual objects, or information components. The Next Generation Business Intelligence suite will translate concepts popularized in Facebook, Flickr, and Digg into enterprise worthy communication vehicles.« less

Measuring patient safety in a UK dental hospital: development of a dental clinical effectiveness dashboard.

PubMed

Pemberton, M N; Ashley, M P; Shaw, A; Dickson, S; Saksena, A

2014-10-01

Patient safety is an important marker of quality for any healthcare organisation. In 2008, the British Government white paper entitled High quality care for all, resulting from a review led by Lord Darzi, identified patient safety as a key component of quality and discussed how it might be measured, analysed and acted upon. National and local clinically curated metrics were suggested, which could be displayed via a 'clinical dashboard'. This paper explains the development of a clinical effectiveness dashboard focused on patient safety in an English dental hospital and how it has helped us identify relevant patient safety issues in secondary dental care.

Developing a caries risk registry to support caries risk assessment and management for children: A quality improvement initiative.

PubMed

Ruff, Jesley C; Herndon, Jill Boylston; Horton, Roger A; Lynch, Julie; Mathwig, Dawn C; Leonard, Audra; Aravamudhan, Krishna

2017-10-27

Health registries are commonly used in medicine to support public health activities and are increasingly used in quality improvement (QI) initiatives. Illustrations of dental registries and their QI applications are lacking. Within dentistry, caries risk assessment implementation and documentation are vital to optimal patient care. The purpose of this article is to describe the processes used to develop a caries risk assessment registry as a QI initiative to support clinical caries risk assessment, caries prevention, and disease management for children. Developmental steps reflected Agency for Healthcare Research and Quality recommendations for planning QI registries and included engaging "champions," defining the project, identifying registry features, defining performance dashboard indicators, and pilot testing with participant feedback. We followed Standards for Quality Improvement Reporting Excellence guidelines. Registry eligibility is patients aged 0-17 years. QI tools include prompts to register eligible patients; decision support tools grounded in evidence-based guidelines; and performance dashboard reports delivered at the provider and aggregated levels at regular intervals. The registry was successfully piloted in two practices with documented caries risk assessment increasing from 57 percent to 92 percent and positive feedback regarding the potential to improve dental practice patient centeredness, patient engagement and education, and quality of care. The caries risk assessment registry demonstrates how dental registries may be used in QI efforts to promote joint patient and provider engagement, foster shared decision making, and systematically collect patient information to generate timely and actionable data to improve care quality and patient outcomes at the individual and population levels. © 2017 American Association of Public Health Dentistry.

78 FR 13057 - Agency Information Collection Activities; Information Collection; IT Dashboard Feedback Mechanism

Federal Register 2010, 2011, 2012, 2013, 2014

2013-02-26

...: Lalit Bajaj, Program Manager, Office of Innovative Technology Services and Solutions, Office of Citizen... ( itdashboard.gov ) provides agencies and the public access to view details of Federal information technology... Information Collection Activities; Information Collection; IT Dashboard Feedback Mechanism AGENCY: Office of...

78 FR 36190 - Agency Information Collection Activities; Submission for OMB Review; IT Dashboard Feedback Mechanism

Federal Register 2010, 2011, 2012, 2013, 2014

2013-06-17

.... FOR FURTHER INFORMATION CONTACT: Lalit Bajaj, Program Manager, Office of Innovative Technology... to view details of Federal information technology investments online and to track their progress over... Information Collection Activities; Submission for OMB Review; IT Dashboard Feedback Mechanism AGENCY: Office...

TRI and DMR Comparison Dashboard | ECHO | US EPA

EPA Pesticide Factsheets

The dashboard provides a comparison of wastewater discharge data reported on Discharge Monitoring Reports (DMRs) under the Clean Water Act (CWA) National Pollutant Discharge Elimination System (NPDES) permit program and water releases reported under the Toxics Release Inventory (TRI) at a national, regional, or state level.

WLCG Transfers Dashboard: a Unified Monitoring Tool for Heterogeneous Data Transfers

NASA Astrophysics Data System (ADS)

Andreeva, J.; Beche, A.; Belov, S.; Kadochnikov, I.; Saiz, P.; Tuckett, D.

2014-06-01

The Worldwide LHC Computing Grid provides resources for the four main virtual organizations. Along with data processing, data distribution is the key computing activity on the WLCG infrastructure. The scale of this activity is very large, the ATLAS virtual organization (VO) alone generates and distributes more than 40 PB of data in 100 million files per year. Another challenge is the heterogeneity of data transfer technologies. Currently there are two main alternatives for data transfers on the WLCG: File Transfer Service and XRootD protocol. Each LHC VO has its own monitoring system which is limited to the scope of that particular VO. There is a need for a global system which would provide a complete cross-VO and cross-technology picture of all WLCG data transfers. We present a unified monitoring tool - WLCG Transfers Dashboard - where all the VOs and technologies coexist and are monitored together. The scale of the activity and the heterogeneity of the system raise a number of technical challenges. Each technology comes with its own monitoring specificities and some of the VOs use several of these technologies. This paper describes the implementation of the system with particular focus on the design principles applied to ensure the necessary scalability and performance, and to easily integrate any new technology providing additional functionality which might be specific to that technology.

Planned Organizational Change in Higher Education: Dashboard Indicators and Stakeholder Sensemaking--A Case Study

ERIC Educational Resources Information Center

Smulowitz, Stacy

2014-01-01

This dissertation examined the introduction and implementation of an organizational Dashboard as a planned organizational change within four educational support service departments and the senior leadership group within a large, Northeastern university. General systems theory provides a theoretical framework for conceptualizing planned…

Design and implementation of an intranet dashboard.

PubMed

Wolpin, S E

2005-01-01

Healthcare organizations are complex systems and well served by efficient feedback mechanisms. Many organizations have invested in data warehouses; however there are few tools for automatically extracting and delivering relevant measures to decision makers. This research study resulted in the design and implementation of an intranet dashboard linked to a data warehouse.

Fix Broken and Redirected Links Using Group Dashboard Link Report

EPA Pesticide Factsheets

Learn how to use the tools provided by Drupal in the Group Dashboard to find and correct links on your site that are broken (404 and 403 error codes), or that redirect (301 and 302), for example to a homepage rather than the originally intended content.

Overview of Provisional Peer-Reviewed Toxicity Values (PPRTVs), Alternative Methods in Human Health Risk Assessment, and the RapidTox Dashboard

EPA Science Inventory

This poster provides an overview of three key lines of ongoing work at EPA/ORD/NCEA-CIN: Provisional Peer-Reviewed Toxicity Values (PPRTVs), Alternative Methods in Human Health Risk Assessment, and the RapidTox Dashboard collaboration.

Public Access to Environmental Chemistry Data via the CompTox Chemistry Dashboard (ACS Fall Meeting 6 of 12)

EPA Science Inventory

The National Center for Computational Toxicology (NCCT) has assembled and delivered an enormous quantity and diversity of data for the environmental sciences through the CompTox Chemistry Dashboard. These data include high-throughput in vitro screening data, in vivo and functiona...

Development of an Online Climate and Fisheries Data Dashboard for Stakeholders in the Northeast Shelf Large Marine Ecosystem

NASA Astrophysics Data System (ADS)

Young Morse, R.

2016-12-01

Fisheries managers make decisions that shape the future of ecosystems and the communities that depend on them. These decisions are often made without reference to environmental conditions, or are made assuming that past conditions (physical conditions, productivity, and species distributions) will persist. The rapid changes experienced in the Northeast Shelf Large Marine Ecosystem (NES LME), as well as the high degree of natural variability in this system, are prompting new discussions about how to incorporate environmental information into fisheries policy and management and into the industry. Through this project, we are facilitating access to fisheries and climate data for fisheries stakeholders in the Northeast through the creation of an online dynamic data dashboard. The primary goal is to make complex climate-relevant data accessible and easy to understand. Information on past, present, and future environmental conditions in the NES LME are presented in the context of fisheries dependent data. Working with marine fisheries stakeholders, including fisheries management council members, industry leaders and non-profits, we have developed a suite of open source processes and tools to acquire and subset climate relevant data from a variety of sources (satellites, sensors, models), develop long range climatologies, and display through dynamically updated interactive data visualizations. The resulting dashboard allows users to quickly assess conditions in the ocean and evaluate them in the context of past and projected change.

DEEP MOTIF DASHBOARD: VISUALIZING AND UNDERSTANDING GENOMIC SEQUENCES USING DEEP NEURAL NETWORKS.

PubMed

Lanchantin, Jack; Singh, Ritambhara; Wang, Beilun; Qi, Yanjun

2017-01-01

Deep neural network (DNN) models have recently obtained state-of-the-art prediction accuracy for the transcription factor binding (TFBS) site classification task. However, it remains unclear how these approaches identify meaningful DNA sequence signals and give insights as to why TFs bind to certain locations. In this paper, we propose a toolkit called the Deep Motif Dashboard (DeMo Dashboard) which provides a suite of visualization strategies to extract motifs, or sequence patterns from deep neural network models for TFBS classification. We demonstrate how to visualize and understand three important DNN models: convolutional, recurrent, and convolutional-recurrent networks. Our first visualization method is finding a test sequence's saliency map which uses first-order derivatives to describe the importance of each nucleotide in making the final prediction. Second, considering recurrent models make predictions in a temporal manner (from one end of a TFBS sequence to the other), we introduce temporal output scores, indicating the prediction score of a model over time for a sequential input. Lastly, a class-specific visualization strategy finds the optimal input sequence for a given TFBS positive class via stochastic gradient optimization. Our experimental results indicate that a convolutional-recurrent architecture performs the best among the three architectures. The visualization techniques indicate that CNN-RNN makes predictions by modeling both motifs as well as dependencies among them.

Deep Motif Dashboard: Visualizing and Understanding Genomic Sequences Using Deep Neural Networks

PubMed Central

Lanchantin, Jack; Singh, Ritambhara; Wang, Beilun; Qi, Yanjun

2018-01-01

Deep neural network (DNN) models have recently obtained state-of-the-art prediction accuracy for the transcription factor binding (TFBS) site classification task. However, it remains unclear how these approaches identify meaningful DNA sequence signals and give insights as to why TFs bind to certain locations. In this paper, we propose a toolkit called the Deep Motif Dashboard (DeMo Dashboard) which provides a suite of visualization strategies to extract motifs, or sequence patterns from deep neural network models for TFBS classification. We demonstrate how to visualize and understand three important DNN models: convolutional, recurrent, and convolutional-recurrent networks. Our first visualization method is finding a test sequence’s saliency map which uses first-order derivatives to describe the importance of each nucleotide in making the final prediction. Second, considering recurrent models make predictions in a temporal manner (from one end of a TFBS sequence to the other), we introduce temporal output scores, indicating the prediction score of a model over time for a sequential input. Lastly, a class-specific visualization strategy finds the optimal input sequence for a given TFBS positive class via stochastic gradient optimization. Our experimental results indicate that a convolutional-recurrent architecture performs the best among the three architectures. The visualization techniques indicate that CNN-RNN makes predictions by modeling both motifs as well as dependencies among them. PMID:27896980

Improving Initiation and Tracking of Research Projects at an Academic Health Center: A Case Study.

PubMed

Schmidt, Susanne; Goros, Martin; Parsons, Helen M; Saygin, Can; Wan, Hung-Da; Shireman, Paula K; Gelfond, Jonathan A L

2017-09-01

Research service cores at academic health centers are important in driving translational advancements. Specifically, biostatistics and research design units provide services and training in data analytics, biostatistics, and study design. However, the increasing demand and complexity of assigning appropriate personnel to time-sensitive projects strains existing resources, potentially decreasing productivity and increasing costs. Improving processes for project initiation, assigning appropriate personnel, and tracking time-sensitive projects can eliminate bottlenecks and utilize resources more efficiently. In this case study, we describe our application of lean six sigma principles to our biostatistics unit to establish a systematic continual process improvement cycle for intake, allocation, and tracking of research design and data analysis projects. The define, measure, analyze, improve, and control methodology was used to guide the process improvement. Our goal was to assess and improve the efficiency and effectiveness of operations by objectively measuring outcomes, automating processes, and reducing bottlenecks. As a result, we developed a web-based dashboard application to capture, track, categorize, streamline, and automate project flow. Our workflow system resulted in improved transparency, efficiency, and workload allocation. Using the dashboard application, we reduced the average study intake time from 18 to 6 days, a 66.7% reduction over 12 months (January to December 2015).

FQC Dashboard: integrates FastQC results into a web-based, interactive, and extensible FASTQ quality control tool.

PubMed

Brown, Joseph; Pirrung, Meg; McCue, Lee Ann

2017-06-09

FQC is software that facilitates quality control of FASTQ files by carrying out a QC protocol using FastQC, parsing results, and aggregating quality metrics into an interactive dashboard designed to richly summarize individual sequencing runs. The dashboard groups samples in dropdowns for navigation among the data sets, utilizes human-readable configuration files to manipulate the pages and tabs, and is extensible with CSV data. FQC is implemented in Python 3 and Javascript, and is maintained under an MIT license. Documentation and source code is available at: https://github.com/pnnl/fqc . joseph.brown@pnnl.gov. © The Author(s) 2017. Published by Oxford University Press.

Nurse manager engagement: what it means to nurse managers and staff nurses.

PubMed

Gray, Linda R; Shirey, Maria R

2013-01-01

To describe what nurse manager engagement means to nurse managers and staff nurses by incorporating an organizational dashboard to document engagement outcomes. Retaining engaged nurse managers is crucial for individual performance and organizational outcomes. However, nurse manager engagement is currently underreported in the literature. Existing data from the 2010 Employee Opinion Survey at the Baylor University Medical Center in Dallas, Texas, were used to measure staff engagement among 28 nurse managers and 1497 staff nurses. The data showed a 21% gap between manager and staff nurse engagement levels, with managers showing higher engagement levels than staff. No clear depiction of nurse manager engagement emerged. Consequently, an expanded definition of nurse manager engagement was developed alongside a beginning dashboard of engagement outcomes. The findings have implications for overcoming barriers that affect staff nurse engagement, improving outcomes, and creating definitions of nurse manager engagement.

Variable effectiveness of stepwise implementation of nudge-type interventions to improve provider compliance with intraoperative low tidal volume ventilation.

PubMed

O'Reilly-Shah, Vikas N; Easton, George S; Jabaley, Craig S; Lynde, Grant C

2018-05-18

Identifying mechanisms to improve provider compliance with quality metrics is a common goal across medical disciplines. Nudge interventions are minimally invasive strategies that can influence behavioural changes and are increasingly used within healthcare settings. We hypothesised that nudge interventions may improve provider compliance with lung-protective ventilation (LPV) strategies during general anaesthesia. We developed an audit and feedback dashboard that included information on both provider-level and department-level compliance with LPV strategies in two academic hospitals, two non-academic hospitals and two academic surgery centres affiliated with a single healthcare system. Dashboards were emailed to providers four times over the course of the 9-month study. Additionally, the default setting on anaesthesia machines for tidal volume was decreased from 700 mL to 400 mL. Data on surgical cases performed between 1 September 2016 and 31 May 2017 were examined for compliance with LPV. The impact of the interventions was assessed via pairwise logistic regression analysis corrected for multiple comparisons. A total of 14 793 anaesthesia records were analysed. Absolute compliance rates increased from 59.3% to 87.8%preintervention to postintervention. Introduction of attending physician dashboards resulted in a 41% increase in the odds of compliance (OR 1.41, 95% CI 1.17 to 1.69, p=0.002). Subsequently, the addition of advanced practice provider and resident dashboards lead to an additional 93% increase in the odds of compliance (OR 1.93, 95% CI 1.52 to 2.46, p<0.001). Lastly, modifying ventilator defaults led to a 376% increase in the odds of compliance (OR 3.76, 95% CI 3.1 to 4.57, p<0.001). Audit and feedback tools in conjunction with default changes improve provider compliance. © 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.

Free online access to experimental and predicted chemical properties through the EPA’s CompTox Chemistry Dashboard (ACS Spring meeting)

EPA Science Inventory

The increasing number and size of public databases is facilitating the collection of chemical structures and associated experimental data for QSAR modeling. However, the performance of QSAR models is highly dependent not only on the modeling methodology, but also on the quality o...

Volumetric, dashboard-mounted augmented display

NASA Astrophysics Data System (ADS)

Kessler, David; Grabowski, Christopher

2017-11-01

The optical design of a compact volumetric display for drivers is presented. The system displays a true volume image with realistic physical depth cues, such as focal accommodation, parallax and convergence. A large eyebox is achieved with a pupil expander. The windshield is used as the augmented reality combiner. A freeform windshield corrector is placed at the dashboard.

The US EPA CompTox Chemistry Dashboard as a source of data to fill data gaps for chemical sources of risk

EPA Science Inventory

Chemical risk assessment is both time-consuming and difficult because it requires the assembly of data for chemicals generally distributed across multiple sources. The US EPA CompTox Chemistry Dashboard is a publicly accessible web-based application providing access to various da...

Online Course Selection: Using Course Dashboards to Inform Student Enrollment Decisions

ERIC Educational Resources Information Center

Marshall, James

2016-01-01

This article explores the potential of course dashboards as a front-end strategy for decreasing online course dropout rates. Scholarship has addressed course attrition once students are enrolled in online courses. However, supporting academic success by assisting students in the making of effective decisions about which online courses to take has…

Real-time prediction of Physicochemical and Toxicological Endpoints Using the Web-based CompTox Chemistry Dashboard (ACS Fall meeting) 10 of 12

EPA Science Inventory

The EPA CompTox Chemistry Dashboard developed by the National Center for Computational Toxicology (NCCT) provides access to data for ~750,000 chemical substances. The data include experimental and predicted data for physicochemical, environmental fate and transport and toxicologi...

Design and Implementation of an Intranet Dashboard

PubMed Central

Wolpin, SE

2005-01-01

Healthcare organizations are complex systems and well served by efficient feedback mechanisms. Many organizations have invested in data warehouses; however there are few tools for automatically extracting and delivering relevant measures to decision makers. This research study resulted in the design and implementation of an intranet dashboard linked to a data warehouse PMID:16779440

Details from the Dashboard: Charter Schools by Geographic Region

ERIC Educational Resources Information Center

National Alliance for Public Charter Schools, 2012

2012-01-01

While a majority of charter schools nationwide operate in urban and suburban areas, charter schools exist in all corners of the nation, and are expanding into all types of communities. This "Details from the Dashboard" report presents statistics on the number of charter schools and students enrolled in charter schools by the four geographic…

Details from the Dashboard: Charter School Race/Ethnicity Demographics

ERIC Educational Resources Information Center

National Alliance for Public Charter Schools, 2012

2012-01-01

This "Details from the Dashboard" report examines race/ethnicity breakouts for public charter schools and traditional public schools at the state and the school district level. The data in this report indicate that in the large majority of states, the race/ethnicity student demographics of charter schools are almost identical to those of the…

Dashboard Videos

ERIC Educational Resources Information Center

Gleue, Alan D.; Depcik, Chris; Peltier, Ted

2012-01-01

Last school year, I had a web link emailed to me entitled "A Dashboard Physics Lesson." The link, created and posted by Dale Basier on his "Lab Out Loud" blog, illustrates video of a car's speedometer synchronized with video of the road. These two separate video streams are compiled into one video that students can watch and analyze. After seeing…

Information Needs Assessment for a Medicine Ward-Focused Rounding Dashboard.

PubMed

Aakre, Christopher A; Chaudhry, Rajeev; Pickering, Brian W; Herasevich, Vitaly

2016-08-01

To identify the routine information needs of inpatient clinicians on the general wards for the development of an electronic dashboard. Survey of internal medicine and subspecialty clinicians from March 2014-July 2014 at Saint Marys Hospital in Rochester, Minnesota. An information needs assessment was generated from all unique data elements extracted from all handoff and rounding tools used by clinicians in our ICUs and general wards. An electronic survey was distributed to 104 inpatient medical providers. 89 unique data elements were identified from currently utilized handoff and rounding instruments. All data elements were present in our multipurpose ICU-based dashboard. 42 of 104 (40 %) surveys were returned. Data elements important (50/89, 56 %) and unimportant (24/89, 27 %) for routine use were identified. No significant differences in data element ranking were observed between supervisory and nonsupervisory roles. The routine information needs of general ward clinicians are a subset of data elements used routinely by ICU clinicians. Our findings suggest an electronic dashboard could be adapted from the critical care setting to the general wards with minimal modification.

Call-to-balloon time dashboard in patients with ST-segment elevation myocardial infarction results in significant improvement in the logistic chain.

PubMed

Hermans, Maaike P J; Velders, Matthijs A; Smeekes, Martin; Drexhage, Olivier S; Hautvast, Raymond W M; Ytsma, Timon; Schalij, Martin J; Umans, Victor A W M

2017-08-04

Timely reperfusion with primary percutaneous coronary intervention (pPCI) in ST-segment elevation myocardial infarction (STEMI) patients is associated with superior clinical outcomes. Aiming to reduce ischaemic time, an innovative system for home-to-hospital (H2H) time monitoring was implemented, which enabled real-time evaluation of ischaemic time intervals, regular feedback and improvements in the logistic chain. The objective of this study was to assess the results after implementation of the H2H dashboard for monitoring and evaluation of ischaemic time in STEMI patients. Ischaemic time in STEMI patients transported by emergency medical services (EMS) and treated with pPCI in the Noordwest Ziekenhuis, Alkmaar before (2008-2009; n=495) and after the implementation of the H2H dashboard (2011-2014; n=441) was compared. Median time intervals were significantly shorter in the H2H group (door-to-balloon time 32 [IQR 25-43] vs. 40 [IQR 28-55] minutes, p-value <0.001, FMC-to-balloon time 62 [IQR 52-75] vs. 80 [IQR 67-103] minutes, p-value <0.001, and treatment delay 142 [IQR 103-221] vs. 159 [IQR 123-253] minutes, p-value <0.001). The H2H time dashboard was independently associated with shorter time delays. Real-time monitoring and feedback on time delay with the H2H dashboard improves the logistic chain in STEMI patients, resulting in shorter ischaemic time intervals.

Real Time Metrics and Analysis of Integrated Arrival, Departure, and Surface Operations

NASA Technical Reports Server (NTRS)

Sharma, Shivanjli; Fergus, John

2017-01-01

A real time dashboard was developed in order to inform and present users notifications and integrated information regarding airport surface operations. The dashboard is a supplement to capabilities and tools that incorporate arrival, departure, and surface air-traffic operations concepts in a NextGen environment. As trajectory-based departure scheduling and collaborative decision making tools are introduced in order to reduce delays and uncertainties in taxi and climb operations across the National Airspace System, users across a number of roles benefit from a real time system that enables common situational awareness. In addition to shared situational awareness the dashboard offers the ability to compute real time metrics and analysis to inform users about capacity, predictability, and efficiency of the system as a whole. This paper describes the architecture of the real time dashboard as well as an initial set of metrics computed on operational data. The potential impact of the real time dashboard is studied at the site identified for initial deployment and demonstration in 2017; Charlotte-Douglas International Airport. Analysis and metrics computed in real time illustrate the opportunity to provide common situational awareness and inform users of metrics across delay, throughput, taxi time, and airport capacity. In addition, common awareness of delays and the impact of takeoff and departure restrictions stemming from traffic flow management initiatives are explored. The potential of the real time tool to inform the predictability and efficiency of using a trajectory-based departure scheduling system is also discussed.

EHDViz: clinical dashboard development using open-source technologies

PubMed Central

Badgeley, Marcus A; Shameer, Khader; Glicksberg, Benjamin S; Tomlinson, Max S; Levin, Matthew A; McCormick, Patrick J; Kasarskis, Andrew; Reich, David L; Dudley, Joel T

2016-01-01

Objective To design, develop and prototype clinical dashboards to integrate high-frequency health and wellness data streams using interactive and real-time data visualisation and analytics modalities. Materials and methods We developed a clinical dashboard development framework called electronic healthcare data visualization (EHDViz) toolkit for generating web-based, real-time clinical dashboards for visualising heterogeneous biomedical, healthcare and wellness data. The EHDViz is an extensible toolkit that uses R packages for data management, normalisation and producing high-quality visualisations over the web using R/Shiny web server architecture. We have developed use cases to illustrate utility of EHDViz in different scenarios of clinical and wellness setting as a visualisation aid for improving healthcare delivery. Results Using EHDViz, we prototyped clinical dashboards to demonstrate the contextual versatility of EHDViz toolkit. An outpatient cohort was used to visualise population health management tasks (n=14 221), and an inpatient cohort was used to visualise real-time acuity risk in a clinical unit (n=445), and a quantified-self example using wellness data from a fitness activity monitor worn by a single individual was also discussed (n-of-1). The back-end system retrieves relevant data from data source, populates the main panel of the application and integrates user-defined data features in real-time and renders output using modern web browsers. The visualisation elements can be customised using health features, disease names, procedure names or medical codes to populate the visualisations. The source code of EHDViz and various prototypes developed using EHDViz are available in the public domain at http://ehdviz.dudleylab.org. Conclusions Collaborative data visualisations, wellness trend predictions, risk estimation, proactive acuity status monitoring and knowledge of complex disease indicators are essential components of implementing data-driven precision medicine. As an open-source visualisation framework capable of integrating health assessment, EHDViz aims to be a valuable toolkit for rapid design, development and implementation of scalable clinical data visualisation dashboards. PMID:27013597

A Customizable Dashboarding System for Watershed Model Interpretation

NASA Astrophysics Data System (ADS)

Easton, Z. M.; Collick, A.; Wagena, M. B.; Sommerlot, A.; Fuka, D.

2017-12-01

Stakeholders, including policymakers, agricultural water managers, and small farm managers, can benefit from the outputs of commonly run watershed models. However, the information that each stakeholder needs is be different. While policy makers are often interested in the broader effects that small farm management may have on a watershed during extreme events or over long periods, farmers are often interested in field specific effects at daily or seasonal period. To provide stakeholders with the ability to analyze and interpret data from large scale watershed models, we have developed a framework that can support custom exploration of the large datasets produced. For the volume of data produced by these models, SQL-based data queries are not efficient; thus, we employ a "Not Only SQL" (NO-SQL) query language, which allows data to scale in both quantity and query volumes. We demonstrate a stakeholder customizable Dashboarding system that allows stakeholders to create custom `dashboards' to summarize model output specific to their needs. Dashboarding is a dynamic and purpose-based visual interface needed to display one-to-many database linkages so that the information can be presented for a single time period or dynamically monitored over time and allows a user to quickly define focus areas of interest for their analysis. We utilize a single watershed model that is run four times daily with a combined set of climate projections, which are then indexed, and added to an ElasticSearch datastore. ElasticSearch is a NO-SQL search engine built on top of Apache Lucene, a free and open-source information retrieval software library. Aligned with the ElasticSearch project is the open source visualization and analysis system, Kibana, which we utilize for custom stakeholder dashboarding. The dashboards create a visualization of the stakeholder selected analysis and can be extended to recommend robust strategies to support decision-making.

Balance Sheets Versus Decision Dashboards to Support Patient Treatment Choices: A Comparative Analysis.

PubMed

Dolan, James G; Veazie, Peter J

2015-12-01

Growing recognition of the importance of involving patients in preference-driven healthcare decisions has highlighted the need to develop practical strategies to implement patient-centered shared decision-making. The use of tabular balance sheets to support clinical decision-making is well established. More recent evidence suggests that graphic, interactive decision dashboards can help people derive deeper a understanding of information within a specific decision context. We therefore conducted a non-randomized trial comparing the effects of adding an interactive dashboard to a static tabular balance sheet on patient decision-making. The study population consisted of members of the ResearchMatch registry who volunteered to participate in a study of medical decision-making. Two separate surveys were conducted: one in the control group and one in the intervention group. All participants were instructed to imagine they were newly diagnosed with a chronic illness and were asked to choose between three hypothetical drug treatments, which varied with regard to effectiveness, side effects, and out-of-pocket cost. Both groups made an initial treatment choice after reviewing a balance sheet. After a brief "washout" period, members of the control group made a second treatment choice after reviewing the balance sheet again, while intervention group members made a second treatment choice after reviewing an interactive decision dashboard containing the same information. After both choices, participants rated their degree of confidence in their choice on a 1 to 10 scale. Members of the dashboard intervention group were more likely to change their choice of preferred drug (10.2 versus 7.5%; p = 0.054) and had a larger increase in decision confidence than the control group (0.67 versus 0.075; p < 0.03). There were no statistically significant between-group differences in decisional conflict or decision aid acceptability. These findings suggest that clinical decision dashboards may be an effective point-of-care decision-support tool. Further research to explore this possibility is warranted.

77 FR 61039 - Self-Regulatory Organizations; NASDAQ OMX PHLX LLC; Notice of Filing and Immediate Effectiveness...

Federal Register 2010, 2011, 2012, 2013, 2014

2012-10-05

... adopt the new QView service. QView is a web-based, front-end application, which provides a subscribing... orders and executions provided in the QView dashboard interface. The dashboard also allows a QView... trading activity.\\5\\ \\4\\ TradeInfo PSX is a web-based tool that, among other things, allows users access...

77 FR 61041 - Self-Regulatory Organizations; NASDAQ OMX BX, Inc.; Notice of Filing and Immediate Effectiveness...

Federal Register 2010, 2011, 2012, 2013, 2014

2012-10-05

.... Purpose The Exchange is proposing to adopt the new QView service. QView is a web-based, front-end... dashboard interface. The dashboard also allows a QView subscriber to track his/her executions and open...-based tool that, among other things, allows users access to all of the BX order and execution...

Using US EPA’s Chemical Safety for Sustainability’s Comptox Chemistry Dashboard and Tools for Bioactivity, Chemical and Toxicokinetic Modeling Analyses (Course at 2017 ISES Annual Meeting)

EPA Science Inventory

Title: Using US EPA’s Chemical Safety for Sustainability’s Comptox Chemistry Dashboard and Tools for Bioactivity, Chemical and Toxicokinetic Modeling Analyses • Class format: half-day (4 hours) • Course leader(s): Barbara A. Wetmore and Antony J. Williams,...

Design and Evaluation of a Widget-Based Dashboard for Awareness Support in Research Networks

ERIC Educational Resources Information Center

Reinhardt, Wolfgang; Mletzko, Christian; Drachsler, Hendrik; Sloep, Peter B.

2014-01-01

In this article, we describe the rationale, design and evaluation of a widget-based dashboard to support scholars' awareness of their Research Networks. We introduce the concept of a Research Network and discuss Personal Research Environments that are built of as a development parallel to Personal Learning Environments. Based on the results…

Information Tailoring Enhancements for Large Scale Social Data

DTIC Science & Technology

2016-03-15

i.com) 1 Work Performed within This Reporting Period .................................................... 2 1.1 Implemented Temporal Analytics ...following tasks.  Implemented Temporal Analysis Algorithms for Advanced Analytics in Scraawl. We implemented our backend web service design for the...temporal analysis and we created a prototyope GUI web service of Scraawl analytics dashboard.  Upgraded Scraawl computational framework to increase

3 CFR 13604 - Executive Order 13604 of March 22, 2012. Improving Performance of Federal Permitting and Review...

Code of Federal Regulations, 2013 CFR

2013-01-01

... United States: (i) the Department of Defense; (ii) the Department of the Interior; (iii) the Department... Dashboard; and (iii) by December 31, 2012, and every 6 months thereafter, report progress to the CPO on... departments and agencies (agencies) take all steps within their authority, consistent with available resources...

PathBot: A Radiology-Pathology Correlation Dashboard.

PubMed

Kelahan, Linda C; Kalaria, Amit D; Filice, Ross W

2017-12-01

Pathology is considered the "gold standard" of diagnostic medicine. The importance of radiology-pathology correlation is seen in interdepartmental patient conferences such as "tumor boards" and by the tradition of radiology resident immersion in a radiologic-pathology course at the American Institute of Radiologic Pathology. In practice, consistent pathology follow-up can be difficult due to time constraints and cumbersome electronic medical records. We present a radiology-pathology correlation dashboard that presents radiologists with pathology reports matched to their dictations, for both diagnostic imaging and image-guided procedures. In creating our dashboard, we utilized the RadLex ontology and National Center for Biomedical Ontology (NCBO) Annotator to identify anatomic concepts in pathology reports that could subsequently be mapped to relevant radiology reports, providing an automated method to match related radiology and pathology reports. Radiology-pathology matches are presented to the radiologist on a web-based dashboard. We found that our algorithm was highly specific in detecting matches. Our sensitivity was slightly lower than expected and could be attributed to missing anatomy concepts in the RadLex ontology, as well as limitations in our parent term hierarchical mapping and synonym recognition algorithms. By automating radiology-pathology correlation and presenting matches in a user-friendly dashboard format, we hope to encourage pathology follow-up in clinical radiology practice for purposes of self-education and to augment peer review. We also hope to provide a tool to facilitate the production of quality teaching files, lectures, and publications. Diagnostic images have a richer educational value when they are backed up by the gold standard of pathology.

How Dashboards Can Help Cities Improve Early Childhood Development. Open Data Institute/Whitepaper. ODI-WP-2017-002

ERIC Educational Resources Information Center

Smith, Fiona; Martinho-Truswell, Emma; Rice, Oliver; Weereratne, Jessica

2017-01-01

As more children are growing up in cities than ever before, cities are investigating new ways to become more child-friendly, and to measure their progress towards this goal. Data dashboards are one tool that can help a city set policy priorities, monitor progress, encourage collaboration, inform decisions, increase accountability, and strengthen…

77 FR 18280 - Self-Regulatory Organizations; The NASDAQ Stock Market LLC; Notice of Filing and Immediate...

Federal Register 2010, 2011, 2012, 2013, 2014

2012-03-27

... adopted QView on December 1, 2011 at no cost to subscribers.\\3\\ QView is a Web-based, front-end... executions provided in the QView dashboard interface. The dashboard also allows a QView subscriber to track...\\ \\5\\ TradeInfo is a web-based tool that, among other things, allows users access to all of the NASDAQ...

Designing Universitas Indonesia Molina EV Bus Dashboard Using ECQFD and TRIZ

NASA Astrophysics Data System (ADS)

Faiq Pradhila, Muhammad; Suzianti, Amalia; Putri Adinda, Prilly

2018-01-01

Universitas Indonesia is involved in the national electric car development program. One of the focus by the research team is to develop the Molina EV Bus which is planned to replace the current operational bus at UI so that it can be more environmental friendly. With UI developing facilities for the disabled, the Molina research team planned to make a new prototype of the Molina EV Bus to contribute to the facilities developed for the disabled. The new prototype is expected to increase the quality of the previous features of the EV Bus, including the dashboard that had been ignored. To support the development of the new prototype, this research was conducted to design a suitable dashboard for the new prototype. Design of the prototype are made using Autodesk Inventor. This research used the integration of ECQFD (Environmentally Conscious Quality Function Deployment) and TRIZ (Theory of Inventive Problem Solving) method. ECQFD was used to translate user needs into quality characteristics based on environmental aspects. TRIZ was used to translate the quality characteristics into technical specifications. This research has generated 3 sustainable, innovative, and user-preferred dashboard design recommendation for the new prototype.

BioSPICE: access to the most current computational tools for biologists.

PubMed

Garvey, Thomas D; Lincoln, Patrick; Pedersen, Charles John; Martin, David; Johnson, Mark

2003-01-01

The goal of the BioSPICE program is to create a framework that provides biologists access to the most current computational tools. At the program midpoint, the BioSPICE member community has produced a software system that comprises contributions from approximately 20 participating laboratories integrated under the BioSPICE Dashboard and a methodology for continued software integration. These contributed software modules are the BioSPICE Dashboard, a graphical environment that combines Open Agent Architecture and NetBeans software technologies in a coherent, biologist-friendly user interface. The current Dashboard permits data sources, models, simulation engines, and output displays provided by different investigators and running on different machines to work together across a distributed, heterogeneous network. Among several other features, the Dashboard enables users to create graphical workflows by configuring and connecting available BioSPICE components. Anticipated future enhancements to BioSPICE include a notebook capability that will permit researchers to browse and compile data to support model building, a biological model repository, and tools to support the development, control, and data reduction of wet-lab experiments. In addition to the BioSPICE software products, a project website supports information exchange and community building.

Heart failure analysis dashboard for patient's remote monitoring combining multiple artificial intelligence technologies.

PubMed

Guidi, G; Pettenati, M C; Miniati, R; Iadanza, E

2012-01-01

In this paper we describe an Heart Failure analysis Dashboard that, combined with a handy device for the automatic acquisition of a set of patient's clinical parameters, allows to support telemonitoring functions. The Dashboard's intelligent core is a Computer Decision Support System designed to assist the clinical decision of non-specialist caring personnel, and it is based on three functional parts: Diagnosis, Prognosis, and Follow-up management. Four Artificial Intelligence-based techniques are compared for providing diagnosis function: a Neural Network, a Support Vector Machine, a Classification Tree and a Fuzzy Expert System whose rules are produced by a Genetic Algorithm. State of the art algorithms are used to support a score-based prognosis function. The patient's Follow-up is used to refine the diagnosis.

Open-Source, Web-Based Dashboard Components for DICOM Connectivity.

PubMed

Bustamante, Catalina; Pineda, Julian; Rascovsky, Simon; Arango, Andres

2016-08-01

The administration of a DICOM network within an imaging healthcare institution requires tools that allow for monitoring of connectivity and availability for adequate uptime measurements and help guide technology management strategies. We present the implementation of an open-source widget for the Dashing framework that provides basic dashboard functionality allowing for monitoring of a DICOM network using network "ping" and DICOM "C-ECHO" operations.

Institutional Dashboards: Navigational Tool for Colleges and Universities. Professional File. Number 123, Winter 2012

ERIC Educational Resources Information Center

Terkla, Dawn Geronimo; Sharkness, Jessica; Cohen, Margaret; Roscoe, Heather S.; Wiseman, Marjorie

2012-01-01

In an age in which information and data are more readily available than ever, it is critical for higher education institutions to develop tools that can communicate essential information to those who make decisions in an easy-to-understand format. One of the tools available for this purpose is a dashboard, a one- to two-page document that presents…

EHDViz: clinical dashboard development using open-source technologies.

PubMed

Badgeley, Marcus A; Shameer, Khader; Glicksberg, Benjamin S; Tomlinson, Max S; Levin, Matthew A; McCormick, Patrick J; Kasarskis, Andrew; Reich, David L; Dudley, Joel T

2016-03-24

To design, develop and prototype clinical dashboards to integrate high-frequency health and wellness data streams using interactive and real-time data visualisation and analytics modalities. We developed a clinical dashboard development framework called electronic healthcare data visualization (EHDViz) toolkit for generating web-based, real-time clinical dashboards for visualising heterogeneous biomedical, healthcare and wellness data. The EHDViz is an extensible toolkit that uses R packages for data management, normalisation and producing high-quality visualisations over the web using R/Shiny web server architecture. We have developed use cases to illustrate utility of EHDViz in different scenarios of clinical and wellness setting as a visualisation aid for improving healthcare delivery. Using EHDViz, we prototyped clinical dashboards to demonstrate the contextual versatility of EHDViz toolkit. An outpatient cohort was used to visualise population health management tasks (n=14,221), and an inpatient cohort was used to visualise real-time acuity risk in a clinical unit (n=445), and a quantified-self example using wellness data from a fitness activity monitor worn by a single individual was also discussed (n-of-1). The back-end system retrieves relevant data from data source, populates the main panel of the application and integrates user-defined data features in real-time and renders output using modern web browsers. The visualisation elements can be customised using health features, disease names, procedure names or medical codes to populate the visualisations. The source code of EHDViz and various prototypes developed using EHDViz are available in the public domain at http://ehdviz.dudleylab.org. Collaborative data visualisations, wellness trend predictions, risk estimation, proactive acuity status monitoring and knowledge of complex disease indicators are essential components of implementing data-driven precision medicine. As an open-source visualisation framework capable of integrating health assessment, EHDViz aims to be a valuable toolkit for rapid design, development and implementation of scalable clinical data visualisation dashboards. 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/

The Linking Study: An Experiment to Strengthen Teachers' Engagement with Data on Teaching and Learning

ERIC Educational Resources Information Center

Supovitz, Jonathan

2013-01-01

The allure of using data to improve performance is a source of tremendous activity in the education field today. "Data use" has spurred a wide variety of reforms at all different levels of the education system, ranging from infrastructure augmentation to state databases, to district dashboard systems that collect and display an array of…

USC/School Performance Dashboard 2011. A Report from the Center on Educational Governance/University of Southern California

ERIC Educational Resources Information Center

Center on Educational Governance, 2011

2011-01-01

In his 2011 State of the Union address, President Barack Obama declared that charter schools are a way to out-innovate and out-educate our competitors worldwide. The President believes that investment in education must be accompanied by reform, including the expansion of high-quality charter schools. President Obama has challenged states to lift…

SU-E-E-02: Dashboard for Tracking Physics Resident Progress

DOE Office of Scientific and Technical Information (OSTI.GOV)

Becker, SJ

2014-06-01

Purpose: Design a system to easily and securely track the progress of medical physics residents through their residency. Paper sign-offs while offering a real signature are not easily updated or summarized. A resident or mentor needs to be able to quickly assess what the current assignments are, what are overdue, and whether the resident is on track to complete all the tasks in a timely fashion. An electronic version can accomplish all these goals. Methods: An electronic dashboard was created in excel to not only house the tasks and sign-off but to succinctly summarize the residents progress. The first tabmore » contains the dashboard which displays tables of the progress of the residents in each rotation, their current task, and overdue tasks. It also displays the last meetings with the residents, and timeline of important items, and a burn-down chart of the remaining tasks. This are all tied to the data and current date which auto fills the tables. The second tab contains the data. This is comprised of lists of rotations and their associated tasks along with their due dates. A signature column was also created which is password protected but allows special subset users i.e. mentors to alter without using a password. Results: The dashboard has allowed residents to better track their progress and tells them what they should be working on. It has also allowed the mentors and the program director to rapid assess their progress. Conclusion: The dashboard is successful and has been created to allow easy addition and subtraction of required tasks as the residency evolves. The next step is to create a web app version of the excel sheet with logins.« less

Assessing Decline: Visualising Progression in Huntington's Disease using a Clinical Dashboard with Enroll-HD Data.

PubMed

Walker, Thomas; Ghosh, Boyd; Kipps, Christopher

2017-01-01

In Huntington's disease (HD), it remains unclear how symptom severity and rate of symptomatic change relates to age and CAG repeat number (CAGn). It is often difficult for clinicians to assess whether an affected individual's symptoms are progressing at a similar rate to their affected peers, limiting their ability to intervene at the most appropriate time. To develop a clinical dashboard that compares an individual's total motor score (TMS), total functional capacity (TFC) and symbol digit modality test (SDMT) scores against a global cohort, controlling for age and CAGn. The dashboard could then be used by clinicians to identify individuals progressing at a disproportionate rate to his or her peers. Annualised longitudinal clinical assessment scores from the Enroll-HD dataset were used to generate decline trajectories of the global cohort, allowing cross-sectional (TMS n = 734; TFC n = 734; SDMT n = 694) and longitudinal (TMS n = 270; TFC n = 270; SDMT n = 247) comparison with individual clinical symptom rating scores, to assess decline relative to affected peers. An electronic dashboard with a dynamic output display was created that rapidly compares clinical symptom rating scores of a specific individual against affected peers from a global cohort of comparable CAGn. This study shows the potential for use of multi-centre trial data in allowing comparison of the individual to a larger group to facilitate improved decision-making for individual patients. Visualisation of these metrics via a clinical dashboard demonstrates how it may aid identification of those with disproportionate decline, offering potential for intervention at specific critical points in the disease course.

Development of an HIV Testing Dashboard to Complement the HIV Care Continuum Among MSM, PWID, and Heterosexuals in Washington, DC, 2007-2015.

PubMed

Patrick, Rudy; Greenberg, Alan; Magnus, Manya; Opoku, Jenevieve; Kharfen, Michael; Kuo, Irene

2017-07-01

We developed an HIV testing dashboard to complement the HIV care continuum in selected high-risk populations. Using National HIV Behavioral Surveillance (NHBS) data, we examined trends in HIV testing and care for men who have sex with men (MSM), persons who inject drugs (PWID), and heterosexuals at elevated risk (HET). Between 2007 and 2015, 4792 participants ≥18 years old completed a behavioral survey and were offered HIV testing. For the testing dashboard, proportions ever tested, tested in the past year, testing HIV-positive, and newly testing positive were calculated. An abbreviated care continuum for self-reported positive (SRP) persons included ever engagement in care, past year care, and current antiretroviral (ARV) use. The testing dashboard and care continuum were calculated separately for each population. Chi-square test for trend was used to assess significant trends over time. Among MSM, lifetime HIV testing and prevalence significantly increased from 96% to 98% (P = 0.01) and 14%-20% (P = 0.02) over time; prevalence was highest among black MSM at all time points. HIV prevalence among female persons who inject drugs was significantly higher in 2015 vs. 2009 (27% and 13%; P < 0.01). Among heterosexuals at elevated risk from 2010 to 2013, annual testing increased significantly (45%-73%; P < 0.001) and the proportion newly diagnosed decreased significantly (P < 0.01). Self-reported positive MSM had high levels of care engagement and antiretroviral use; among self-reported positive persons who inject drugs and heterosexuals at elevated risk, past year care engagement and antiretroviral use increased over time. The HIV testing dashboard can be used to complement the HIV care continuum to display improvements and disparities in HIV testing and care over time.

Harnessing the web information ecosystem with wiki-based visualization dashboards.

PubMed

McKeon, Matt

2009-01-01

We describe the design and deployment of Dashiki, a public website where users may collaboratively build visualization dashboards through a combination of a wiki-like syntax and interactive editors. Our goals are to extend existing research on social data analysis into presentation and organization of data from multiple sources, explore new metaphors for these activities, and participate more fully in the web!s information ecology by providing tighter integration with real-time data. To support these goals, our design includes novel and low-barrier mechanisms for editing and layout of dashboard pages and visualizations, connection to data sources, and coordinating interaction between visualizations. In addition to describing these technologies, we provide a preliminary report on the public launch of a prototype based on this design, including a description of the activities of our users derived from observation and interviews.

Optimization of drug-drug interaction alert rules in a pediatric hospital's electronic health record system using a visual analytics dashboard.

PubMed

Simpao, Allan F; Ahumada, Luis M; Desai, Bimal R; Bonafide, Christopher P; Gálvez, Jorge A; Rehman, Mohamed A; Jawad, Abbas F; Palma, Krisha L; Shelov, Eric D

2015-03-01

To develop and evaluate an electronic dashboard of hospital-wide electronic health record medication alerts for an alert fatigue reduction quality improvement project. We used visual analytics software to develop the dashboard. We collaborated with the hospital-wide Clinical Decision Support committee to perform three interventions successively deactivating clinically irrelevant drug-drug interaction (DDI) alert rules. We analyzed the impact of the interventions on care providers' and pharmacists' alert and override rates using an interrupted time series framework with piecewise regression. We evaluated 2 391 880 medication alerts between January 31, 2011 and January 26, 2014. For pharmacists, the median alert rate prior to the first DDI deactivation was 58.74 alerts/100 orders (IQR 54.98-60.48) and 25.11 alerts/100 orders (IQR 23.45-26.57) following the three interventions (p<0.001). For providers, baseline median alert rate prior to the first round of DDI deactivation was 19.73 alerts/100 orders (IQR 18.66-20.24) and 15.11 alerts/100 orders (IQR 14.44-15.49) following the three interventions (p<0.001). In a subgroup analysis, we observed a decrease in pharmacists' override rates for DDI alerts that were not modified in the system from a median of 93.06 overrides/100 alerts (IQR 91.96-94.33) to 85.68 overrides/100 alerts (IQR 84.29-87.15, p<0.001). The medication serious safety event rate decreased during the study period, and there were no serious safety events reported in association with the deactivated alert rules. An alert dashboard facilitated safe rapid-cycle reductions in alert burden that were temporally associated with lower pharmacist override rates in a subgroup of DDIs not directly affected by the interventions; meanwhile, the pharmacists' frequency of selecting the 'cancel' option increased. We hypothesize that reducing the alert burden enabled pharmacists to devote more attention to clinically relevant alerts. © The Author 2014. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

Parallel File System I/O Performance Testing On LANL Clusters

DOE Office of Scientific and Technical Information (OSTI.GOV)

Wiens, Isaac Christian; Green, Jennifer Kathleen

2016-08-18

These are slides from a presentation on parallel file system I/O performance testing on LANL clusters. I/O is a known bottleneck for HPC applications. Performance optimization of I/O is often required. This summer project entailed integrating IOR under Pavilion and automating the results analysis. The slides cover the following topics: scope of the work, tools utilized, IOR-Pavilion test workflow, build script, IOR parameters, how parameters are passed to IOR, *run_ior: functionality, Python IOR-Output Parser, Splunk data format, Splunk dashboard and features, and future work.

Implementing dashboards as a business intelligence tool in the forest inventory and analysis program

Treesearch

Scott A. Pugh; Randall S. Morin; Barbara A. Johnson

2015-01-01

Today is the era of “big data” where businesses have access to enormous amounts of often complex and sometimes unwieldy data. Businesses are using business intelligence (BI) systems to transform this data into useful information for management decisions. BI systems integrate applications, processes, data, and people to deliver prompt and robust analyses. A number of...

Preparing systems engineering and computing science students in disciplined methods, quantitative, and advanced statistical techniques to improve process performance

NASA Astrophysics Data System (ADS)

McCray, Wilmon Wil L., Jr.

The research was prompted by a need to conduct a study that assesses process improvement, quality management and analytical techniques taught to students in U.S. colleges and universities undergraduate and graduate systems engineering and the computing science discipline (e.g., software engineering, computer science, and information technology) degree programs during their academic training that can be applied to quantitatively manage processes for performance. Everyone involved in executing repeatable processes in the software and systems development lifecycle processes needs to become familiar with the concepts of quantitative management, statistical thinking, process improvement methods and how they relate to process-performance. Organizations are starting to embrace the de facto Software Engineering Institute (SEI) Capability Maturity Model Integration (CMMI RTM) Models as process improvement frameworks to improve business processes performance. High maturity process areas in the CMMI model imply the use of analytical, statistical, quantitative management techniques, and process performance modeling to identify and eliminate sources of variation, continually improve process-performance; reduce cost and predict future outcomes. The research study identifies and provides a detail discussion of the gap analysis findings of process improvement and quantitative analysis techniques taught in U.S. universities systems engineering and computing science degree programs, gaps that exist in the literature, and a comparison analysis which identifies the gaps that exist between the SEI's "healthy ingredients " of a process performance model and courses taught in U.S. universities degree program. The research also heightens awareness that academicians have conducted little research on applicable statistics and quantitative techniques that can be used to demonstrate high maturity as implied in the CMMI models. The research also includes a Monte Carlo simulation optimization model and dashboard that demonstrates the use of statistical methods, statistical process control, sensitivity analysis, quantitative and optimization techniques to establish a baseline and predict future customer satisfaction index scores (outcomes). The American Customer Satisfaction Index (ACSI) model and industry benchmarks were used as a framework for the simulation model.

The Cancer Target Discovery and Development Network Dashboard Allows Users to Search for Interesting Data and Results | Office of Cancer Genomics

Cancer.gov

The CTD2 Dashboard hosts analyzed data and other evidence generated by the CTD2 Network. It is a web interface for the research community to browse and search CTD2 Network data related to genes, proteins, and compounds from individual CTD2 Centers, or explore observations across multiple Centers.

Naval Medical Research and Development News. Volume 8, Issue 1, January 2016

DTIC Science & Technology

2016-01-01

you are active or reserve, civilian, contractor , or volunteer - your reach spans the globe and you are an important part of fulfilling that trust...human health risk assessment rely on determination of biologically-effective concentrations in suites of in vitro high throughput screening ( HTS ...Dashboard (http:// actor.epa.gov/dashboard/) provides access to the results of more than 800 HTS in vitro assay endpoints for over 1800 chemicals

Designing a Clinical Dashboard to Fill Information Gaps in the Emergency Department

PubMed Central

Swartz, Jordan L.; Cimino, James J.; Fred, Matthew R.; Green, Robert A.; Vawdrey, David K.

2014-01-01

Data fragmentation within electronic health records causes gaps in the information readily available to clinicians. We investigated the information needs of emergency medicine clinicians in order to design an electronic dashboard to fill information gaps in the emergency department. An online survey was distributed to all emergency medicine physicians at a large, urban academic medical center. The survey response rate was 48% (52/109). The clinical information items reported to be most helpful while caring for patients in the emergency department were vital signs, electrocardiogram (ECG) reports, previous discharge summaries, and previous lab results. Brief structured interviews were also conducted with 18 clinicians during their shifts in the emergency department. From the interviews, three themes emerged: 1) difficulty accessing vital signs, 2) difficulty accessing point-of-care tests, and 3) difficulty comparing the current ECG with the previous ECG. An emergency medicine clinical dashboard was developed to address these difficulties. PMID:25954420

Designing a clinical dashboard to fill information gaps in the emergency department.

PubMed

Swartz, Jordan L; Cimino, James J; Fred, Matthew R; Green, Robert A; Vawdrey, David K

2014-01-01

Data fragmentation within electronic health records causes gaps in the information readily available to clinicians. We investigated the information needs of emergency medicine clinicians in order to design an electronic dashboard to fill information gaps in the emergency department. An online survey was distributed to all emergency medicine physicians at a large, urban academic medical center. The survey response rate was 48% (52/109). The clinical information items reported to be most helpful while caring for patients in the emergency department were vital signs, electrocardiogram (ECG) reports, previous discharge summaries, and previous lab results. Brief structured interviews were also conducted with 18 clinicians during their shifts in the emergency department. From the interviews, three themes emerged: 1) difficulty accessing vital signs, 2) difficulty accessing point-of-care tests, and 3) difficulty comparing the current ECG with the previous ECG. An emergency medicine clinical dashboard was developed to address these difficulties.

Dashboard systems: Pharmacokinetic/pharmacodynamic mediated dose optimization for monoclonal antibodies.

PubMed

Mould, Diane R; Dubinsky, Marla C

2015-03-01

Many marketed drugs exhibit high variability in exposure and response. While these drugs are efficacious in their approved indications, finding appropriate dose regimens for individual patients is not straightforward. Similar dose adjustment problems are also seen with drugs that have a complex relationship between exposure and response and/or a narrow therapeutic window. This is particularly true for monoclonal antibodies, where prolonged dosing at a sub-therapeutic dose can also elicit anti-drug antibodies which will further compromise safety and efficacy. Thus, finding appropriate doses quickly would represent a substantial improvement in healthcare. Dashboard systems, which are decision-support tools, offer an improved, convenient means of tailoring treatment for individual patients. This article reviews the clinical need for this approach, particularly with monoclonal antibodies, the design, development, and testing of such systems, and the likely benefits of dashboard systems in clinical practice. We focus on infliximab for reference. © 2015, The American College of Clinical Pharmacology.

A Visual Dashboard for Moving Health Technologies From “Lab to Village”

PubMed Central

Singer, Peter A

2007-01-01

New technologies are an important way of addressing global health challenges and human development. However, the road for new technologies from “lab to village” is neither simple nor straightforward. Until recently, there has been no conceptual framework for analyzing and addressing the myriad forces and issues involved in moving health technologies from the lab to those who need them. Recently, based on empirical research, we published such a model. In this paper, we focus on extending the model into a dashboard and examine how this dashboard can be used to manage the information related to the path from lab to village. The next step will be for groups interested in global health, and even the public via the Internet, to use the tool to help guide technologies down this tricky path to improve global health and foster human development. PMID:17951216

Next Generation Monitoring: Tier 2 Experience

NASA Astrophysics Data System (ADS)

Fay, R.; Bland, J.; Jones, S.

2017-10-01

Monitoring IT infrastructure is essential for maximizing availability and minimizing disruption by detecting failures and developing issues. The HEP group at Liverpool have recently updated our monitoring infrastructure with the goal of increasing coverage, improving visualization capabilities, and streamlining configuration and maintenance. Here we present a summary of Liverpool’s experience, the monitoring infrastructure, and the tools used to build it. In brief, system checks are configured in Puppet using Hiera, and managed by Sensu, replacing Nagios. Centralised logging is managed with Elasticsearch, together with Logstash and Filebeat. Kibana provides an interface for interactive analysis, including visualization and dashboards. Metric collection is also configured in Puppet, managed by collectd and stored in Graphite, with Grafana providing a visualization and dashboard tool. The Uchiwa dashboard for Sensu provides a web interface for viewing infrastructure status. Alert capabilities are provided via external handlers. A custom alert handler is in development to provide an easily configurable, extensible and maintainable alert facility.

Integrated Medical Information Technology System (IMITS): Information and Clinical Technologies for the Advancement of Healthcare

DTIC Science & Technology

2010-08-31

Teleaudiology o FY08: Remote access of cochlear implants Teleaudiology DIACAP / FDA certification o FY08: Teleaudiology DIACAP and FDA certification to conduct...remote access, monitor, and adjust cochlear implants  ECMO o FY05: Extra Corporeal Membrane Oxygenation (ECMO) o FY07 Pacific Rim ECMO/VAD...These dashboards were developed for use by appointed AFMS radiologists to monitor the flow and statistics of teleradiology. The dashboards are web

Integrating Patient-Reported Outcomes into Spine Surgical Care through Visual Dashboards: Lessons Learned from Human-Centered Design.

PubMed

Hartzler, Andrea L; Chaudhuri, Shomir; Fey, Brett C; Flum, David R; Lavallee, Danielle

2015-01-01

The collection of patient-reported outcomes (PROs) draws attention to issues of importance to patients-physical function and quality of life. The integration of PRO data into clinical decisions and discussions with patients requires thoughtful design of user-friendly interfaces that consider user experience and present data in personalized ways to enhance patient care. Whereas most prior work on PROs focuses on capturing data from patients, little research details how to design effective user interfaces that facilitate use of this data in clinical practice. We share lessons learned from engaging health care professionals to inform design of visual dashboards, an emerging type of health information technology (HIT). We employed human-centered design (HCD) methods to create visual displays of PROs to support patient care and quality improvement. HCD aims to optimize the design of interactive systems through iterative input from representative users who are likely to use the system in the future. Through three major steps, we engaged health care professionals in targeted, iterative design activities to inform the development of a PRO Dashboard that visually displays patient-reported pain and disability outcomes following spine surgery. Design activities to engage health care administrators, providers, and staff guided our work from design concept to specifications for dashboard implementation. Stakeholder feedback from these health care professionals shaped user interface design features, including predefined overviews that illustrate at-a-glance trends and quarterly snapshots, granular data filters that enable users to dive into detailed PRO analytics, and user-defined views to share and reuse. Feedback also revealed important considerations for quality indicators and privacy-preserving sharing and use of PROs. Our work illustrates a range of engagement methods guided by human-centered principles and design recommendations for optimizing PRO Dashboards for patient care and quality improvement. Engaging health care professionals as stakeholders is a critical step toward the design of user-friendly HIT that is accepted, usable, and has the potential to enhance quality of care and patient outcomes.

Real Time Metrics and Analysis of Integrated Arrival, Departure, and Surface Operations

NASA Technical Reports Server (NTRS)

Sharma, Shivanjli; Fergus, John

2017-01-01

To address the Integrated Arrival, Departure, and Surface (IADS) challenge, NASA is developing and demonstrating trajectory-based departure automation under a collaborative effort with the FAA and industry known Airspace Technology Demonstration 2 (ATD-2). ATD-2 builds upon and integrates previous NASA research capabilities that include the Spot and Runway Departure Advisor (SARDA), the Precision Departure Release Capability (PDRC), and the Terminal Sequencing and Spacing (TSAS) capability. As trajectory-based departure scheduling and collaborative decision making tools are introduced in order to reduce delays and uncertainties in taxi and climb operations across the National Airspace System, users of the tools across a number of roles benefit from a real time system that enables common situational awareness. A real time dashboard was developed to inform and present users notifications and integrated information regarding airport surface operations. The dashboard is a supplement to capabilities and tools that incorporate arrival, departure, and surface air-traffic operations concepts in a NextGen environment. In addition to shared situational awareness, the dashboard offers the ability to compute real time metrics and analysis to inform users about capacity, predictability, and efficiency of the system as a whole. This paper describes the architecture of the real time dashboard as well as an initial proposed set of metrics. The potential impact of the real time dashboard is studied at the site identified for initial deployment and demonstration in 2017: Charlotte-Douglas International Airport (CLT). The architecture of implementing such a tool as well as potential uses are presented for operations at CLT. Metrics computed in real time illustrate the opportunity to provide common situational awareness and inform users of system delay, throughput, taxi time, and airport capacity. In addition, common awareness of delays and the impact of takeoff and departure restrictions stemming from traffic flow management initiatives are explored. The potential of the real time tool to inform users of the predictability and efficiency of using a trajectory-based departure scheduling system is also discussed.

Dashboard visualizations: Supporting real-time throughput decision-making.

PubMed

Franklin, Amy; Gantela, Swaroop; Shifarraw, Salsawit; Johnson, Todd R; Robinson, David J; King, Brent R; Mehta, Amit M; Maddow, Charles L; Hoot, Nathan R; Nguyen, Vickie; Rubio, Adriana; Zhang, Jiajie; Okafor, Nnaemeka G

2017-07-01

Providing timely and effective care in the emergency department (ED) requires the management of individual patients as well as the flow and demands of the entire department. Strategic changes to work processes, such as adding a flow coordination nurse or a physician in triage, have demonstrated improvements in throughput times. However, such global strategic changes do not address the real-time, often opportunistic workflow decisions of individual clinicians in the ED. We believe that real-time representation of the status of the entire emergency department and each patient within it through information visualizations will better support clinical decision-making in-the-moment and provide for rapid intervention to improve ED flow. This notion is based on previous work where we found that clinicians' workflow decisions were often based on an in-the-moment local perspective, rather than a global perspective. Here, we discuss the challenges of designing and implementing visualizations for ED through a discussion of the development of our prototype Throughput Dashboard and the potential it holds for supporting real-time decision-making. Copyright © 2017. Published by Elsevier Inc.

A Novel early pregnancy assessment unit/Gynaecology assessment unit dashboard: An experience from a UK district general hospital.

PubMed

Wahba, K; Shah, A; Hill, K; Hosni, M M

2015-01-01

The establishment of early pregnancy assessment units (EPAUs)/Gynaecology assessment units (GAUs) started more than 20 years ago in the UK to decrease hospital admissions of patients with early pregnancy problems. However, there are still wide variations in the quality of services provided by these units. The objective of this study was to create a method that can be used for continuous assessment of these units on a regular basis. We designed a dashboard covering all aspects of EPAU/GAU activities depending upon the early pregnancy unit association guidelines, and the department of health data and statistics. The EPAU/GAU dashboard has been used successfully in the early assessment pregnancy unit of Yeovil District hospital for few years and is still implemented until now. It is an excellent tool for continuous audit. It is a simple method that should be adopted by different EPAUs/GAUs for their objective assessment in order to improve the services provided by these units.

National baselines for the Sustainable Development Goals assessed in the SDG Index and Dashboards

NASA Astrophysics Data System (ADS)

Schmidt-Traub, Guido; Kroll, Christian; Teksoz, Katerina; Durand-Delacre, David; Sachs, Jeffrey D.

2017-08-01

The Sustainable Development Goals (SDGs) -- agreed in 2015 by all 193 member states of the United Nations and complemented by commitments made in the Paris Agreement -- map out a broad spectrum of economic, social and environmental objectives to be achieved by 2030. Reaching these goals will require deep transformations in every country, as well as major efforts in monitoring and measuring progress. Here we introduce the SDG Index and Dashboards as analytical tools for assessing countries' baselines for the SDGs that can be applied by researchers in the cross-disciplinary analyses required for implementation. The Index and Dashboards synthesize available country-level data for all 17 goals, and for each country estimate the size of the gap towards achieving the SDGs. They will be updated annually. All 149 countries for which sufficient data is available face significant challenges in achieving the goals, and many countries' development strategies are imbalanced across the economic, social and environmental priorities. We illustrate the analytical value of the index by examining its relationship with other widely used development indices and by showing how it accounts for cross-national differences in subjective well-being. Given significant data gaps, scope and coverage of the Index and Dashboards are limited, but we suggest that these analyses represent a starting point for a comprehensive assessment of national SDG baselines and can help policymakers determine priorities for early action and monitor progress. The tools also identify data gaps that must be closed for SDG monitoring.

Using Health Information Technology to Improve Adherence to Opioid Prescribing Guidelines in Primary Care

PubMed Central

Zlateva, Ianita; Khatri, Khushbu; Ciaburri, Nicholas

2015-01-01

Objective: To evaluate the impact of a clinical dashboard for opioid analgesic management on opioid prescribing and adherence to opioid practice guidelines in primary care. Methods: A pre/postimplementation evaluation using electronic health record (EHR) data from patients receiving chronic opioid therapy (COT) between April 1, 2011 and March 31, 2013. Measures include annual proportions of COT patients who received urine drug testing, signed an opioid treatment agreement, had a documented assessment of pain-related functional status, and had at least 1 visit with a behavioral health provider. Results: Adherence to several opioid prescribing guidelines improved in the postimplementation year compared with the preimplementation year: (1) the proportions of COT patients with a signed opioid treatment agreement and urine drug testing increased from 49% to 63% and 66% to 86%, respectively. The proportion of COT patients with a documented assessment of functional status increased from 33% to 46% and those with a behavioral health visit increased from 24% to 28%. However, there was a small decline in the proportion of patients prescribed COT from 3.4% to 3.1%. Discussion: Implementation of an opioid dashboard led to increased adherence to certain opioid practice guidelines and a decline in COT. This may be attributable to more efficient team-based pain management facilitated by the dashboard and increased transparency of opioid prescription practices. Health Information Technology solutions such as clinical dashboards can increase adherence to practice guidelines. PMID:25411860

The BEL information extraction workflow (BELIEF): evaluation in the BioCreative V BEL and IAT track

PubMed Central

Madan, Sumit; Hodapp, Sven; Senger, Philipp; Ansari, Sam; Szostak, Justyna; Hoeng, Julia; Peitsch, Manuel; Fluck, Juliane

2016-01-01

Network-based approaches have become extremely important in systems biology to achieve a better understanding of biological mechanisms. For network representation, the Biological Expression Language (BEL) is well designed to collate findings from the scientific literature into biological network models. To facilitate encoding and biocuration of such findings in BEL, a BEL Information Extraction Workflow (BELIEF) was developed. BELIEF provides a web-based curation interface, the BELIEF Dashboard, that incorporates text mining techniques to support the biocurator in the generation of BEL networks. The underlying UIMA-based text mining pipeline (BELIEF Pipeline) uses several named entity recognition processes and relationship extraction methods to detect concepts and BEL relationships in literature. The BELIEF Dashboard allows easy curation of the automatically generated BEL statements and their context annotations. Resulting BEL statements and their context annotations can be syntactically and semantically verified to ensure consistency in the BEL network. In summary, the workflow supports experts in different stages of systems biology network building. Based on the BioCreative V BEL track evaluation, we show that the BELIEF Pipeline automatically extracts relationships with an F-score of 36.4% and fully correct statements can be obtained with an F-score of 30.8%. Participation in the BioCreative V Interactive task (IAT) track with BELIEF revealed a systems usability scale (SUS) of 67. Considering the complexity of the task for new users—learning BEL, working with a completely new interface, and performing complex curation—a score so close to the overall SUS average highlights the usability of BELIEF. Database URL: BELIEF is available at http://www.scaiview.com/belief/ PMID:27694210

The BEL information extraction workflow (BELIEF): evaluation in the BioCreative V BEL and IAT track.

PubMed

Madan, Sumit; Hodapp, Sven; Senger, Philipp; Ansari, Sam; Szostak, Justyna; Hoeng, Julia; Peitsch, Manuel; Fluck, Juliane

2016-01-01

Network-based approaches have become extremely important in systems biology to achieve a better understanding of biological mechanisms. For network representation, the Biological Expression Language (BEL) is well designed to collate findings from the scientific literature into biological network models. To facilitate encoding and biocuration of such findings in BEL, a BEL Information Extraction Workflow (BELIEF) was developed. BELIEF provides a web-based curation interface, the BELIEF Dashboard, that incorporates text mining techniques to support the biocurator in the generation of BEL networks. The underlying UIMA-based text mining pipeline (BELIEF Pipeline) uses several named entity recognition processes and relationship extraction methods to detect concepts and BEL relationships in literature. The BELIEF Dashboard allows easy curation of the automatically generated BEL statements and their context annotations. Resulting BEL statements and their context annotations can be syntactically and semantically verified to ensure consistency in the BEL network. In summary, the workflow supports experts in different stages of systems biology network building. Based on the BioCreative V BEL track evaluation, we show that the BELIEF Pipeline automatically extracts relationships with an F-score of 36.4% and fully correct statements can be obtained with an F-score of 30.8%. Participation in the BioCreative V Interactive task (IAT) track with BELIEF revealed a systems usability scale (SUS) of 67. Considering the complexity of the task for new users-learning BEL, working with a completely new interface, and performing complex curation-a score so close to the overall SUS average highlights the usability of BELIEF.Database URL: BELIEF is available at http://www.scaiview.com/belief/. © The Author(s) 2016. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Clinical engineering department strategic graphical dashboard to enhance maintenance planning and asset management.

PubMed

Sloane, Elliot; Rosow, Eric; Adam, Joe; Shine, Dave

2005-01-01

The Clinical Engineering (a.k.a. Biomedical Engineering) Department has heretofore lagged in adoption of some of the leading-edge information system tools used in other industries. This present application is part of a DOD-funded SBIR grant to improve the overall management of medical technology, and describes the capabilities that Strategic Graphical Dashboards (SGDs) can afford. This SGD is built on top of an Oracle database, and uses custom-written graphic objects like gauges, fuel tanks, and Geographic Information System (GIS) maps to improve and accelerate decision making.

Developing a general ward nursing dashboard.

PubMed

Russell, Margot; Hogg, Maggie; Leach, Stuart; Penman, Mags; Friel, Susan

2014-12-15

The seventh and final article in the series on Leading Better Care explores some of the challenges in clinical practice relating to the use of data and making information meaningful to senior charge nurses and ward sisters. It describes the collaborative approach taken by NHS Lanarkshire, which involved nursing staff, programme leads and the eHealth team in the development of a general ward nursing dashboard as a means of ensuring safe, effective person-centred care. The article also illustrates how this web-based data-reporting programme is used to support clinical practice.

Revisit, revamp, and revitalize your business plan: part 3.

PubMed

Waldron, David

2011-01-01

Managing with financial statements is discussed, including fundamental definitions and conventions related to this process such as an income statement and a balance sheet. Balanced scorecards and dashboards can be used to measure progress and to communicate achievements. Steps taken to defining data using KPIs, sourcing data, and structuring the scorecard are outlined. A core part of managing with financial statements is understanding how to drive the business and engage the staff using balanced scorecards.

Defense AT and L Magazine. Vol. 46, no. 4, July-August 2017

DTIC Science & Technology

2017-07-01

engineering. He also is a certified Project Manage - ment Professional. Supply Chain Management SCM has become a vital tool used in today’s global economy to...modifying the project management dashboards originally developed by one of the authors, described in “Leveraging Fidelity of Performance­Based Metric...Tools for Project Man­ agement,” an article in the January­February 2003 issue of Program Manager , the predecessor of Defense AT&L magazine

Integrating Patient-Reported Outcomes into Spine Surgical Care through Visual Dashboards: Lessons Learned from Human-Centered Design

PubMed Central

Hartzler, Andrea L.; Chaudhuri, Shomir; Fey, Brett C.; Flum, David R.; Lavallee, Danielle

2015-01-01

Introduction: The collection of patient-reported outcomes (PROs) draws attention to issues of importance to patients—physical function and quality of life. The integration of PRO data into clinical decisions and discussions with patients requires thoughtful design of user-friendly interfaces that consider user experience and present data in personalized ways to enhance patient care. Whereas most prior work on PROs focuses on capturing data from patients, little research details how to design effective user interfaces that facilitate use of this data in clinical practice. We share lessons learned from engaging health care professionals to inform design of visual dashboards, an emerging type of health information technology (HIT). Methods: We employed human-centered design (HCD) methods to create visual displays of PROs to support patient care and quality improvement. HCD aims to optimize the design of interactive systems through iterative input from representative users who are likely to use the system in the future. Through three major steps, we engaged health care professionals in targeted, iterative design activities to inform the development of a PRO Dashboard that visually displays patient-reported pain and disability outcomes following spine surgery. Findings: Design activities to engage health care administrators, providers, and staff guided our work from design concept to specifications for dashboard implementation. Stakeholder feedback from these health care professionals shaped user interface design features, including predefined overviews that illustrate at-a-glance trends and quarterly snapshots, granular data filters that enable users to dive into detailed PRO analytics, and user-defined views to share and reuse. Feedback also revealed important considerations for quality indicators and privacy-preserving sharing and use of PROs. Conclusion: Our work illustrates a range of engagement methods guided by human-centered principles and design recommendations for optimizing PRO Dashboards for patient care and quality improvement. Engaging health care professionals as stakeholders is a critical step toward the design of user-friendly HIT that is accepted, usable, and has the potential to enhance quality of care and patient outcomes. PMID:25988187

Development of a metrics dashboard for monitoring involvement in the 340B Drug Pricing Program.

PubMed

Karralli, Rusol; Tipton, Joyce; Dumitru, Doina; Scholz, Lisa; Masilamani, Santhi

2015-09-01

An electronic tool to support hospital organizations in monitoring and addressing financial and compliance challenges related to participation in the 340B Drug Pricing Program is described. In recent years there has been heightened congressional and regulatory scrutiny of the federal 340B program, which provides discounted drug prices on Medicaid-covered drugs to safety net hospitals and other 340B-eligible healthcare organizations, or "covered entities." Historically, the 340B program has lacked a metrics-driven reporting framework to help covered entities capture the value of 340B program involvement, community benefits provided to underserved populations, and costs associated with compliance with 340B eligibility requirements. As part of an initiative by a large health system to optimize its 340B program utilization and regulatory compliance efforts, a team of pharmacists led the development of an electronic dashboard tool to help monitor 340B program activities at the system's 340B-eligible facilities. After soliciting input from an array of internal and external 340B program stakeholders, the team designed the dashboard and associated data-entry tools to facilitate the capture and analysis of 340B program-related data in four domains: cost savings and revenue, program maintenance costs, community benefits, and compliance. A large health system enhanced its ability to evaluate and monitor 340B program-related activities through the use of a dashboard tool capturing key metrics on cost savings achieved, maintenance costs, and other aspects of program involvement. Copyright © 2015 by the American Society of Health-System Pharmacists, Inc. All rights reserved.

Facilitating insights with a user adaptable dashboard, illustrated by airport connectivity data

NASA Astrophysics Data System (ADS)

Dobraja, Ieva; Kraak, Menno-Jan; Engelhardt, Yuri

2018-05-01

Since the movement data exist, there have been approaches to collect and analyze them to get insights. This kind of data is often heterogeneous, multiscale and multi-temporal. Those interested in spatio-temporal patterns of movement data do not gain insights from textual descriptions. Therefore, visualization is required. As spatio-temporal movement data can be complex because size and characteristics, it is even challenging to create an overview of it. Plotting all the data on the screen will not be the solution as it likely will result into cluttered images where no data exploration is possible. To ensure that users will receive the information they are interested in, it is important to provide a graphical data representation environment where exploration to gain insights are possible not only in the overall level but at sub-levels as well. A dashboard would be a solution the representation of heterogeneous spatio- temporal data. It provides an overview and helps to unravel the complexity of data by splitting data in multiple data representation views. The adaptability of dashboard will help to reveal the information which cannot be seen in the overview.

Teaching systems thinking to 4th and 5th graders using Environmental Dashboard display technology.

PubMed

Clark, Shane; Petersen, John E; Frantz, Cindy M; Roose, Deborah; Ginn, Joel; Rosenberg Daneri, Daniel

2017-01-01

Tackling complex environmental challenges requires the capacity to understand how relationships and interactions between parts result in dynamic behavior of whole systems. There has been convincing research that these "systems thinking" skills can be learned. However, there is little research on methods for teaching these skills to children or assessing their impact. The Environmental Dashboard is a technology that uses "sociotechnical" feedback-information feedback designed to affect thought and behavior. Environmental Dashboard (ED) combines real-time information on community resource use with images and words that reflect pro-environmental actions of community members. Prior research indicates that ED supports the development of systems thinking in adults. To assess its impact on children, the technology was installed in a primary school and children were passively exposed to ED displays. This resulted in no measurable impact on systems thinking skills. The next stage of this research examined the impact of actively integrating ED into lessons on electricity in 4th and 5th grade. This active integration enhanced both content-related systems thinking skills and content retention.

Teaching systems thinking to 4th and 5th graders using Environmental Dashboard display technology

PubMed Central

Clark, Shane; Frantz, Cindy M.; Roose, Deborah; Ginn, Joel; Rosenberg Daneri, Daniel

2017-01-01

Tackling complex environmental challenges requires the capacity to understand how relationships and interactions between parts result in dynamic behavior of whole systems. There has been convincing research that these “systems thinking” skills can be learned. However, there is little research on methods for teaching these skills to children or assessing their impact. The Environmental Dashboard is a technology that uses “sociotechnical” feedback–information feedback designed to affect thought and behavior. Environmental Dashboard (ED) combines real-time information on community resource use with images and words that reflect pro-environmental actions of community members. Prior research indicates that ED supports the development of systems thinking in adults. To assess its impact on children, the technology was installed in a primary school and children were passively exposed to ED displays. This resulted in no measurable impact on systems thinking skills. The next stage of this research examined the impact of actively integrating ED into lessons on electricity in 4th and 5th grade. This active integration enhanced both content-related systems thinking skills and content retention. PMID:28448586

HIV Care Providers' Attitudes regarding Mobile Phone Applications and Web-Based Dashboards to support Patient Self-Management and Care Coordination: Results from a Qualitative Feasibility Study.

PubMed

Swendeman, Dallas; Farmer, Shu; Mindry, Deborah; Lee, Sung-Jae; Medich, Melissa

2016-10-01

In-depth qualitative interviews were conducted with healthcare providers (HCPs) from five HIV medical care coordination teams in a large Los Angeles County HIV clinic, including physicians, nurses, and psychosocial services providers. HCPs reported on the potential utility, acceptability, and barriers for patient self-monitoring and notifications via mobile phones, and web-based dashboards for HCPs. Potential benefits included: 1) enhancing patient engagement, motivation, adherence, and self-management; and 2) improving provider-patient relationships and HCP care coordination. Newly diagnosed and patients with co-morbidities were highest priorities for mobile application support. Facilitators included universal mobile phone ownership and use of smartphones or text messaging. Patient-level barriers included concerns about low motivation and financial instability for consistent use by some patients. Organizational barriers, cited primarily by physicians, included concerns about privacy protections, easy dashboard access, non-integrated electronic records, and competing burdens in limited appointment times. Psychosocial services providers were most supportive of the proposed mobile tools.

Developing an Interactive Data Visualization Tool to Assess the Impact of Decision Support on Clinical Operations.

PubMed

Huber, Timothy C; Krishnaraj, Arun; Monaghan, Dayna; Gaskin, Cree M

2018-05-18

Due to mandates from recent legislation, clinical decision support (CDS) software is being adopted by radiology practices across the country. This software provides imaging study decision support for referring providers at the point of order entry. CDS systems produce a large volume of data, providing opportunities for research and quality improvement. In order to better visualize and analyze trends in this data, an interactive data visualization dashboard was created using a commercially available data visualization platform. Following the integration of a commercially available clinical decision support product into the electronic health record, a dashboard was created using a commercially available data visualization platform (Tableau, Seattle, WA). Data generated by the CDS were exported from the data warehouse, where they were stored, into the platform. This allowed for real-time visualization of the data generated by the decision support software. The creation of the dashboard allowed the output from the CDS platform to be more easily analyzed and facilitated hypothesis generation. Integrating data visualization tools into clinical decision support tools allows for easier data analysis and can streamline research and quality improvement efforts.

Integrating Thematic Web Portal Capabilities into the NASA Earthdata Web Infrastructure

NASA Technical Reports Server (NTRS)

Wong, Minnie; Baynes, Kathleen E.; Huang, Thomas; McLaughlin, Brett

2015-01-01

This poster will present the process of integrating thematic web portal capabilities into the NASA Earth data web infrastructure, with examples from the Sea Level Change Portal. The Sea Level Change Portal will be a source of current NASA research, data and information regarding sea level change. The portal will provide sea level change information through articles, graphics, videos and animations, an interactive tool to view and access sea level change data and a dashboard showing sea level change indicators.

Implementing IWRM: Delivering data and models with interactive dashboards and cyberinfrastructure to facilitate natural resource conflict resolution and valuation

NASA Astrophysics Data System (ADS)

Pierce, S. A.; Figueroa B, E.

2016-12-01

Sound science and adequate models of systems are necessary for environmental decisions, yet frequently it is insufficient. This study documents the outcome of a co-design effort that was convened initially to explore the potential role that technology may have in supporting multi-stakeholder deliberation about sustainability transitions for a region. The project aims to create science-based deliberation among diverse stakeholders about water-energy-mineral use and choices in the Atacama Desert region of Chile. An interactive dashboard that pairs stakeholder preferences, concept maps with natural resource valuation models seeks to visualize useful information. The ultimate goal is to improve levels of understanding and open possibilities for collaborative problem solving by engaging industry, academics, and indigenous communities in a long- term participatory modeling process. Collaborative discussions build technical knowledge and bridge across sectors that are often at odds over management of earth resources. The project began in the shadow of marked conflict and tensions among participants. Methodologically, tensions have been reduced by combining social process with information delivery that leverages interactive touch screen applications. Models and information act as boundary objects among participants and the tenets of a conflict resolution process called sustained dialogue provide guidance for facilitating the group sessions. Early results indicate that the gesture-enabled touch screens are useful for establishing an accessible environment for deliberation because subject matter experts and laypeople can interact with information with equal ease. Social process has been critical for bridging scales, managing group expectations and relationships, and addressing differences in epistemological and cultural perspectives. Recent incorporation of economic and resource valuation highlights new aspects and alternative views of tradeoffs and potential impacts.

MAppERS experience: natural processes and preparedness in the societal context

NASA Astrophysics Data System (ADS)

Frigerio, Simone; Schenato, Luca; Bossi, Giulia; Mantovani, Matteo; Marcato, Gianluca; Pasuto, Alessandro

2016-04-01

Within natural processes responsibilities from central authorities to local levels as first actors of civil protection is a changing pattern. Prevention and preparedness in natural hazards are long-term goals based on capacities of professional volunteers, and improving the awareness of the citizens as local inhabitants. Local people have impacts on their lives but training and involvement towards specific techniques change their role within risk communication and emergency preparedness. A collaborative user environment is useful for emergency response and support in the wake of disasters, feeding updated information on the ground directly to on-site responders. MAppERS (Mobile Application for Emergency Response and Support) is a funded project (2013-2015 Humanitarian Aid and Civil Protection, ECHO A5) based on human role as "crowd-sourced mappers" through smart phone application able to share GPS-localised and detailed parameters. The feedback from testing and the training courses aim to raising public awareness and participation in a networked disaster response. The project implies design and test of smart phone linked with a real-time dashboard platform for rescue services citizens and volunteers of civil protection. Two pilot sites, including trainings on modules functioning control usability and quality of the product. The synchronized platform offers the activity of cloud data collection with a central data dashboard. Information is collected in a context of floods processes, with crowdsourcing action from local population, for proper awareness with own personal flood plan and long-term preparedness. A second context tested pre-emergency actions on field with rescue team, collecting state-of-art and condition of hazards.

Outside The Box: What Would a Scientist Do with a Dashboard?

NASA Technical Reports Server (NTRS)

Blakeley, Christopher M.

2013-01-01

Growing plants on the International Space Station has always been a challenge, but it is research that must continue in order to support long duration missions. A rotating plant system is now undergoing tests at Kennedy Space Center to help mitigate the challenges of getting water and nutrients effectively to plant roots. Traditionally, lab test data is gathered and presented via spreadsheets which can be confusing and cumbersome to deal with. Using SAP BusinessObjects Dashboards (formerly Xcelsius), see how NASA utilizes this visualization software to help monitor and present a clear picture of the research results.

Quality initiatives: lean approach to improving performance and efficiency in a radiology department.

PubMed

Kruskal, Jonathan B; Reedy, Allen; Pascal, Laurie; Rosen, Max P; Boiselle, Phillip M

2012-01-01

Many hospital radiology departments are adopting "lean" methods developed in automobile manufacturing to improve operational efficiency, eliminate waste, and optimize the value of their services. The lean approach, which emphasizes process analysis, has particular relevance to radiology departments, which depend on a smooth flow of patients and uninterrupted equipment function for efficient operation. However, the application of lean methods to isolated problems is not likely to improve overall efficiency or to produce a sustained improvement. Instead, the authors recommend a gradual but continuous and comprehensive "lean transformation" of work philosophy and workplace culture. Fundamental principles that must consistently be put into action to achieve such a transformation include equal involvement of and equal respect for all staff members, elimination of waste, standardization of work processes, improvement of flow in all processes, use of visual cues to communicate and inform, and use of specific tools to perform targeted data collection and analysis and to implement and guide change. Many categories of lean tools are available to facilitate these tasks: value stream mapping for visualizing the current state of a process and identifying activities that add no value; root cause analysis for determining the fundamental cause of a problem; team charters for planning, guiding, and communicating about change in a specific process; management dashboards for monitoring real-time developments; and a balanced scorecard for strategic oversight and planning in the areas of finance, customer service, internal operations, and staff development. © RSNA, 2012.

Crowdsourcing engagement and applications for communities within crisis events

NASA Astrophysics Data System (ADS)

Frigerio, Simone; Schenato, Luca; Bossi, Giulia; Mantovani, Matteo; Crema, Stefano; Cavalli, Marco; Marcato, Gianluca; Pasuto, Alessandro

2017-04-01

Civil protection attitude is a changing pattern within natural hazards, deploying responsibilities from central government to local authorities. The competence of volunteers and the awareness and involvement of local inhabitants are key points for prevention and preparedness. Citizens and volunteers become first actors of civil protection, toward context-specific strategies of surveillance and territorial surveys. The crowd-mapping technology includes a mobile solution tested insight trained communities, as participation within disaster response. The platform includes also a user-friendly dashboard for data gathering and analysis in multi-hazard realities, tested with pilot case studies. Usability and gradual innovation of platform are continuous granted by cloud dataset and bugfixing controls. The first module focuses on flood processes gathering data from local and trained population, for awareness and long-term preparedness. The second module integrates field survey of several volunteers within rescue squads, combining geolocations and comparing dataset collected in pre-emergency steps in urban case studies. The results include an easy-to-use data interface for crisis management, a tested support within crisis combined with personal awareness, continuously updated and customized. The development provides a version for Android 4.0 onward, the web application combines a cloud architecture with a relational database and web services, integrated with SDK cloud notification. The wireframes planned two accesses for a Citizens Kit and a Volunteers Kit, synchronized with a common dashboard. The follow up includes the integration between mobile solutions with sensors for dynamic update and data export for GIS analysis. The location-based services uses location data to monitor parameters and control features within natural hazard. A human sensor network is the aim, integrating sensor measurements with external observation as baseline of future modelling. Point data like humidity, temperature and pressure are geolocated and real-time. Human sensors reveal a massive approach of crowdsourcing, and user-friendly dashboards appears as solid control of data management to support resilience and quality of risk assessment.

Sustained Reduction of Ventilator-Associated Pneumonia Rates Using Real-Time Course Correction With a Ventilator Bundle Compliance Dashboard.

PubMed

Talbot, Thomas R; Carr, Devin; Parmley, C Lee; Martin, Barbara J; Gray, Barbara; Ambrose, Anna; Starmer, Jack

2015-11-01

The effectiveness of practice bundles on reducing ventilator-associated pneumonia (VAP) has been questioned. To implement a comprehensive program that included a real-time bundle compliance dashboard to improve compliance and reduce ventilator-associated complications. DESIGN Before-and-after quasi-experimental study with interrupted time-series analysis. SETTING Academic medical center. In 2007 a comprehensive institutional ventilator bundle program was developed. To assess bundle compliance and stimulate instant course correction of noncompliant parameters, a real-time computerized dashboard was developed. Program impact in 6 adult intensive care units (ICUs) was assessed. Bundle compliance was noted as an overall cumulative bundle adherence assessment, reflecting the percentage of time all elements were concurrently in compliance for all patients. The VAP rate in all ICUs combined decreased from 19.5 to 9.2 VAPs per 1,000 ventilator-days following program implementation (P<.001). Bundle compliance significantly increased (Z100 score of 23% in August 2007 to 83% in June 2011 [P<.001]). The implementation resulted in a significant monthly decrease in the overall ICU VAP rate of 3.28/1,000 ventilator-days (95% CI, 2.64-3.92/1,000 ventilator-days). Following the intervention, the VAP rate decreased significantly at a rate of 0.20/1,000 ventilator-days per month (95% CI, 0.14-0.30/1,000 ventilator-days per month). Among all adult ICUs combined, improved bundle compliance was moderately correlated with monthly VAP rate reductions (Pearson correlation coefficient, -0.32). A prevention program using a real-time bundle adherence dashboard was associated with significant sustained decreases in VAP rates and an increase in bundle compliance among adult ICU patients.

A dashboard-based system for supporting diabetes care.

PubMed

Dagliati, Arianna; Sacchi, Lucia; Tibollo, Valentina; Cogni, Giulia; Teliti, Marsida; Martinez-Millana, Antonio; Traver, Vicente; Segagni, Daniele; Posada, Jorge; Ottaviano, Manuel; Fico, Giuseppe; Arredondo, Maria Teresa; De Cata, Pasquale; Chiovato, Luca; Bellazzi, Riccardo

2018-05-01

To describe the development, as part of the European Union MOSAIC (Models and Simulation Techniques for Discovering Diabetes Influence Factors) project, of a dashboard-based system for the management of type 2 diabetes and assess its impact on clinical practice. The MOSAIC dashboard system is based on predictive modeling, longitudinal data analytics, and the reuse and integration of data from hospitals and public health repositories. Data are merged into an i2b2 data warehouse, which feeds a set of advanced temporal analytic models, including temporal abstractions, care-flow mining, drug exposure pattern detection, and risk-prediction models for type 2 diabetes complications. The dashboard has 2 components, designed for (1) clinical decision support during follow-up consultations and (2) outcome assessment on populations of interest. To assess the impact of the clinical decision support component, a pre-post study was conducted considering visit duration, number of screening examinations, and lifestyle interventions. A pilot sample of 700 Italian patients was investigated. Judgments on the outcome assessment component were obtained via focus groups with clinicians and health care managers. The use of the decision support component in clinical activities produced a reduction in visit duration (P ≪ .01) and an increase in the number of screening exams for complications (P < .01). We also observed a relevant, although nonstatistically significant, increase in the proportion of patients receiving lifestyle interventions (from 69% to 77%). Regarding the outcome assessment component, focus groups highlighted the system's capability of identifying and understanding the characteristics of patient subgroups treated at the center. Our study demonstrates that decision support tools based on the integration of multiple-source data and visual and predictive analytics do improve the management of a chronic disease such as type 2 diabetes by enacting a successful implementation of the learning health care system cycle.

User-centered design of quality of life reports for clinical care of patients with prostate cancer

PubMed Central

Izard, Jason; Hartzler, Andrea; Avery, Daniel I.; Shih, Cheryl; Dalkin, Bruce L.; Gore, John L.

2014-01-01

Background Primary treatment of localized prostate cancer can result in bothersome urinary, sexual, and bowel symptoms. Yet clinical application of health-related quality-of-life (HRQOL) questionnaires is rare. We employed user-centered design to develop graphic dashboards of questionnaire responses from patients with prostate cancer to facilitate clinical integration of HRQOL measurement. Methods We interviewed 50 prostate cancer patients and 50 providers, assessed literacy with validated instruments (Rapid Estimate of Adult Literacy in Medicine short form, Subjective Numeracy Scale, Graphical Literacy Scale), and presented participants with prototype dashboards that display prostate cancer-specific HRQOL with graphic elements derived from patient focus groups. We assessed dashboard comprehension and preferences in table, bar, line, and pictograph formats with patient scores contextualized with HRQOL scores of similar patients serving as a comparison group. Results Health literacy (mean score, 6.8/7) and numeracy (mean score, 4.5/6) of patient participants was high. Patients favored the bar chart (mean rank, 1.8 [P = .12] vs line graph [P <.01] vs table and pictograph); providers demonstrated similar preference for table, bar, and line formats (ranked first by 30%, 34%, and 34% of providers, respectively). Providers expressed unsolicited concerns over presentation of comparison group scores (n = 19; 38%) and impact on clinic efficiency (n = 16; 32%). Conclusion Based on preferences of prostate cancer patients and providers, we developed the design concept of a dynamic HRQOL dashboard that permits a base patient-centered report in bar chart format that can be toggled to other formats and include error bars that frame comparison group scores. Inclusion of lower literacy patients may yield different preferences. PMID:24787105

User-centered design of quality of life reports for clinical care of patients with prostate cancer.

PubMed

Izard, Jason; Hartzler, Andrea; Avery, Daniel I; Shih, Cheryl; Dalkin, Bruce L; Gore, John L

2014-05-01

Primary treatment of localized prostate cancer can result in bothersome urinary, sexual, and bowel symptoms. Yet clinical application of health-related quality-of-life (HRQOL) questionnaires is rare. We employed user-centered design to develop graphic dashboards of questionnaire responses from patients with prostate cancer to facilitate clinical integration of HRQOL measurement. We interviewed 50 prostate cancer patients and 50 providers, assessed literacy with validated instruments (Rapid Estimate of Adult Literacy in Medicine short form, Subjective Numeracy Scale, Graphical Literacy Scale), and presented participants with prototype dashboards that display prostate cancer-specific HRQOL with graphic elements derived from patient focus groups. We assessed dashboard comprehension and preferences in table, bar, line, and pictograph formats with patient scores contextualized with HRQOL scores of similar patients serving as a comparison group. Health literacy (mean score, 6.8/7) and numeracy (mean score, 4.5/6) of patient participants was high. Patients favored the bar chart (mean rank, 1.8 [P = .12] vs line graph [P < .01] vs table and pictograph); providers demonstrated similar preference for table, bar, and line formats (ranked first by 30%, 34%, and 34% of providers, respectively). Providers expressed unsolicited concerns over presentation of comparison group scores (n = 19; 38%) and impact on clinic efficiency (n = 16; 32%). Based on preferences of prostate cancer patients and providers, we developed the design concept of a dynamic HRQOL dashboard that permits a base patient-centered report in bar chart format that can be toggled to other formats and include error bars that frame comparison group scores. Inclusion of lower literacy patients may yield different preferences. Copyright © 2014 Mosby, Inc. All rights reserved.

Sustainable design for automotive products: dismantling and recycling of end-of-life vehicles.

PubMed

Tian, Jin; Chen, Ming

2014-02-01

The growth in automotive production has increased the number of end-of-life vehicles (ELVs) annually. The traditional approach ELV processing involves dismantling, shredding, and landfill disposal. The "3R" (i.e., reduce, reuse, and recycle) principle has been increasingly employed in processing ELVs, particularly ELV parts, to promote sustainable development. The first step in processing ELVs is dismantling. However, certain parts of the vehicle are difficult to disassemble and use in practice. The extended producer responsibility policy requires carmakers to contribute in the processing of scrap cars either for their own developmental needs or for social responsibility. The design for dismantling approach can be an effective solution to the existing difficulties in dismantling ELVs. This approach can also provide guidelines in the design of automotive products. This paper illustrates the difficulty of handling polymers in dashboards. The physical properties of polymers prevent easy separation and recycling by using mechanical methods. Thus, dealers have to rely on chemical methods such as pyrolysis. Therefore, car designers should use a single material to benefit dealers. The use of materials for effective end-of-life processing without sacrificing the original performance requirements of the vehicle should be explored. Copyright © 2013 Elsevier Ltd. All rights reserved.

The Apollo Accreditation Program: A web-based Joint Commission International standards compliance management tool.

PubMed

Dewan, Shaveta; Sibal, Anupam; Uberoi, R S; Kaur, Ishneet; Nayak, Yogamaya; Kar, Sujoy; Loria, Gaurav; Yatheesh, G; Balaji, V

2014-01-01

Creating and implementing processes to deliver quality care in compliance with accreditation standards is a challenging task but even more daunting is sustaining these processes and systems. There is need for frequent monitoring of the gap between the expected level of care and the level of care actually delivered so as to achieve consistent level of care. The Apollo Accreditation Program (AAP) was implemented as a web-based single measurable dashboard to display, measure and compare compliance levels for established standards of care in JCI accredited hospitals every quarter and resulted in an overall 15.5% improvement in compliance levels over one year.

Improving trends in gender disparities in the Department of Veterans Affairs: 2008-2013.

PubMed

Whitehead, Alison M; Czarnogorski, Maggie; Wright, Steve M; Hayes, Patricia M; Haskell, Sally G

2014-09-01

Increasing numbers of women veterans using Department of Veterans Affairs (VA) services has contributed to the need for equitable, high-quality care for women. The VA has evaluated performance measure data by gender since 2006. In 2008, the VA launched a 5-year women's health redesign, and, in 2011, gender disparity improvement was included on leadership performance plans. We examined data from VA Office of Analytics and Business Intelligence quarterly gender reports for trends in gender disparities in gender-neutral performance measures from 2008 to 2013. Through reporting of data by gender, leadership involvement, electronic reminders, and population management dashboards, VA has seen a decreasing trend in gender inequities on most Health Effectiveness Data and Information Set performance measures.

Integrating natural language processing expertise with patient safety event review committees to improve the analysis of medication events.

PubMed

Fong, Allan; Harriott, Nicole; Walters, Donna M; Foley, Hanan; Morrissey, Richard; Ratwani, Raj R

2017-08-01

Many healthcare providers have implemented patient safety event reporting systems to better understand and improve patient safety. Reviewing and analyzing these reports is often time consuming and resource intensive because of both the quantity of reports and length of free-text descriptions in the reports. Natural language processing (NLP) experts collaborated with clinical experts on a patient safety committee to assist in the identification and analysis of medication related patient safety events. Different NLP algorithmic approaches were developed to identify four types of medication related patient safety events and the models were compared. Well performing NLP models were generated to categorize medication related events into pharmacy delivery delays, dispensing errors, Pyxis discrepancies, and prescriber errors with receiver operating characteristic areas under the curve of 0.96, 0.87, 0.96, and 0.81 respectively. We also found that modeling the brief without the resolution text generally improved model performance. These models were integrated into a dashboard visualization to support the patient safety committee review process. We demonstrate the capabilities of various NLP models and the use of two text inclusion strategies at categorizing medication related patient safety events. The NLP models and visualization could be used to improve the efficiency of patient safety event data review and analysis. Copyright © 2017 Elsevier B.V. All rights reserved.

Civil Penalty Policies

EPA Pesticide Factsheets

The Environmental Protection Agency's Enforcement and Compliance History Online (ECHO) website provides customizable and downloadable information about environmental inspections, violations, and enforcement actions for EPA-regulated facilities, like power plants and factories. ECHO advances public information by sharing data related to facility compliance with and regulatory agency activity related to air, hazardous waste, clean water, and drinking water regulations. ECHO offers many user-friendly options to explore data, including:1. Facility Search (http://echo.epa.gov/facilities/facility-search?mediaSelected=all): ECHO information is searchable by varied criteria, including location, facility type, and compliance status related to the Clean Air Act, Clean Water Act, Resource Conservation and Recovery Act, and Safe Drinking Water Act. Search results are customizable and downloadable.2. Comparative Maps (http://echo.epa.gov/maps/state-comparative-maps) and State Dashboards (http://echo.epa.gov/trends/comparative-maps-dashboards/state-air-dashboard): These tools offer aggregated information about facility compliance status and regulatory agency compliance monitoring and enforcement activity at the national and state level.3. Bulk Data Downloads (http://echo.epa.gov/resources/echo-data/data-downloads): One of ECHO's most popular features is the ability to work offline by downloading large data sets. Users can take advantage of the ECHO Exporter, which provides su

Antimicrobial resistance dashboard application for mapping environmental occurrence and resistant pathogens

PubMed Central

Stedtfeld, Robert D.; Williams, Maggie R.; Fakher, Umama; Johnson, Timothy A.; Stedtfeld, Tiffany M.; Wang, Fang; Khalife, Walid T.; Hughes, Mary; Etchebarne, Brett E.; Tiedje, James M.; Hashsham, Syed A.

2016-01-01

An antibiotic resistance (AR) Dashboard application is being developed regarding the occurrence of antibiotic resistance genes (ARG) and bacteria (ARB) in environmental and clinical settings. The application gathers and geospatially maps AR studies, reported occurrence and antibiograms, which can be downloaded for offline analysis. With the integration of multiple data sets, the database can be used on a regional or global scale to identify hot spots for ARGs and ARB; track and link spread and transmission, quantify environmental or human factors influencing presence and persistence of ARG harboring organisms; differentiate natural ARGs from those distributed via human or animal activity; cluster and compare ARGs connections in different environments and hosts; and identify genes that can be used as proxies to routinely monitor anthropogenic pollution. To initially populate and develop the AR Dashboard, a qPCR ARG array was tested with 30 surface waters, primary influent from three waste water treatment facilities, ten clinical isolates from a regional hospital and data from previously published studies including river, park soil and swine farm samples. Interested users are invited to download a beta version (available on iOS or Android), submit AR information using the application, and provide feedback on current and prospective functionalities. PMID:26850162

Infrastructure for quality transformation: measurement and reporting in veterans administration intensive care units.

PubMed

Render, Marta L; Freyberg, Ron W; Hasselbeck, Rachael; Hofer, Timothy P; Sales, Anne E; Deddens, James; Levesque, Odette; Almenoff, Peter L

2011-06-01

BACKGROUND Veterans Health Administration (VA) intensive care units (ICUs) develop an infrastructure for quality improvement using information technology and recruiting leadership. METHODS Setting Participation by the 183 ICUs in the quality improvement program is required. Infrastructure includes measurement (electronic data extraction, analysis), quarterly web-based reporting and implementation support of evidence-based practices. Leaders prioritise measures based on quality improvement objectives. The electronic extraction is validated manually against the medical record, selecting hospitals whose data elements and measures fall at the extremes (10th, 90th percentile). results are depicted in graphic, narrative and tabular reports benchmarked by type and complexity of ICU. RESULTS The VA admits 103 689±1156 ICU patients/year. Variation in electronic business practices, data location and normal range of some laboratory tests affects data quality. A data management website captures data elements important to ICU performance and not available electronically. A dashboard manages the data overload (quarterly reports ranged 106-299 pages). More than 85% of ICU directors and nurse managers review their reports. Leadership interest is sustained by including ICU targets in executive performance contracts, identification of local improvement opportunities with analytic software, and focused reviews. CONCLUSION Lessons relevant to non-VA institutions include the: (1) need for ongoing data validation, (2) essential involvement of leadership at multiple levels, (3) supplementation of electronic data when key elements are absent, (4) utility of a good but not perfect electronic indicator to move practice while improving data elements and (5) value of a dashboard.

The coronary artery disease quality dashboard: a chronic care disease management tool in an electronic health record.

PubMed

Jung, Eunice; Schnipper, Jeffrey L; Li, Qi; Linder, Jeffrey A; Rose, Alan F; Li, Ruzhuo; Eskin, Michael S; Housman, Dan; Middleton, Blackford; Einbinder, Jonathan S

2007-10-11

Quality reporting tools, integrated with ambulatory electronic health records (EHRs), may help clinicians understand performance, manage populations, and improve quality. The Coronary Artery Disease Quality Dash board (CAD QD) is a secure web report for performance measurement of a chronic care condition delivered through a central data warehouse and custom-built reporting tool. Pilot evaluation of the CAD Quality Dash board indicates that clinicians prefer a quality report that combines not only structured data from EHRs but one that facilitates actions to be taken on individual patients or on a population, i.e., for case management.

[A quality evaluation tableau for health institutions: an educational tool].

PubMed

Moll, Marie Christine; Decavel, Frédérique; Merlet, Christine

2009-09-01

For a few years, health institutions have had to comply with the certification and the need to establish the new governance. Thanks to the accreditation version 2 (obtained in 2005), the elaboration of the hospital project (adopted in October, 2006) and the organization in poles since 2006, the quality oriented management became a priority axis at the University Hospital of Angers. The strategic adaptation to quality requirements leads to develop the hospital management, more especially at the level of the clinical, medico technical and administrative poles. The elements of the hospital project including the part about the quality, risk and evaluation aim at being adapted by every pole according to the level of its project. This adaptation which is imposed to each pole manager requires a practical and educational accompaniment allowing at the same time to realize a diagnosis of the progress of the quality approach, a measure of the impact of the global impregnation within the institution and a comparison between pole. A eight axis dashboard with criteria and a user guide were developed from certification ISO 9001, the EFQM manual and the certification manual version 2 of the Healthcare High Authorities. The criteria are transcribed in an EXCEL grid ready to use. Succeeding in estimating your own quality system means that you demonstrate the maturity of the quality approach. The results of this evaluation confirmed those of the certification. The dashboard is a management structuring tool at the service of the multidisciplinary team. Two considerations emerge from these results: First of all, for the hospital top management, the axes to be improved emerge as a priority to determine and target the next annual action plans. The results also allow to support the auto evaluation for the certification version 2010 planned in January of the same year. It is a pragmatic tool which allows auto evaluation and comparison to estimate the pole performances. It is a strategic driving tool for the hospital, for the quality department and for the pole. The pole quality system evaluation dashboard for Healthcare institutions is a simple tool which allies strategy and performance for a better efficiency of the actions to be taken to improve the quality, the risk management and the evaluation of the poles for a better service to the hospital users.

Developing a set of consensus indicators to support maternity service quality improvement: using Core Outcome Set methodology including a Delphi process.

PubMed

Bunch, K J; Allin, B; Jolly, M; Hardie, T; Knight, M

2018-05-16

To develop a core metric set to monitor the quality of maternity care. Delphi process followed by a face-to-face consensus meeting. English maternity units. Three representative expert panels: service designers, providers and users. Maternity care metrics judged important by participants. Participants were asked to complete a two-phase Delphi process, scoring metrics from existing local maternity dashboards. A consensus meeting discussed the results and re-scored the metrics. In all, 125 distinct metrics across six domains were identified from existing dashboards. Following the consensus meeting, 14 metrics met the inclusion criteria for the final core set: smoking rate at booking; rate of birth without intervention; caesarean section delivery rate in Robson group 1 women; caesarean section delivery rate in Robson group 2 women; caesarean section delivery rate in Robson group 5 women; third- and fourth-degree tear rate among women delivering vaginally; rate of postpartum haemorrhage of ≥1500 ml; rate of successful vaginal birth after a single previous caesarean section; smoking rate at delivery; proportion of babies born at term with an Apgar score <7 at 5 minutes; proportion of babies born at term admitted to the neonatal intensive care unit; proportion of babies readmitted to hospital at <30 days of age; breastfeeding initiation rate; and breastfeeding rate at 6-8 weeks. Core outcome set methodology can be used to incorporate the views of key stakeholders in developing a core metric set to monitor the quality of care in maternity units, thus enabling improvement. Achieving consensus on core metrics for monitoring the quality of maternity care. © 2018 The Authors. BJOG: An International Journal of Obstetrics and Gynaecology published by John Wiley & Sons Ltd on behalf of Royal College of Obstetricians and Gynaecologists.

Evaluation of performance indicators applied to a material recovery facility fed by mixed packaging waste.

PubMed

Mastellone, Maria Laura; Cremiato, Raffaele; Zaccariello, Lucio; Lotito, Roberta

2017-06-01

Most of the integrated systems for municipal solid waste management aim to increase the recycling of secondary materials by means of physical processes including sorting, shredding and reprocessing. Several restrictions prevent from reaching a very high material recycling efficiency: the variability of the composition of new-marketed materials used for packaging production and its shape and complexity are critical issues. The packaging goods are in fact made of different materials (aluminium, polymers, paper, etc.), possibly assembled, having different shape (flat, cylindrical, one-dimensional, etc.), density, colours, optical properties and so on. These aspects limit the effectiveness and efficiency of the sorting and reprocessing plants. The scope of this study was to evaluate the performance of a large scale Material Recovery Facility (MRF) by utilizing data collected during a long period of monitoring. The database resulted from the measured data has been organized in four sections: (1) data related to the amount and type of inlet waste; (2) amount and composition of output products and waste; (3) operating data (such as worked hours for shift, planned and unscheduled maintenance time, setting parameters of the equipment, and energy consumption for shift); (4) economic data (value of each product, disposal price for the produced waste, penalty for non-compliance of products and waste, etc.). A part of this database has been utilized to build an executive dashboard composed by a set of performance indicators suitable to measure the effectiveness and the efficiency of the MRF operations. The dashboard revealed itself as a powerful tool to support managers and engineers in their decisions in respect to the market demand or compliance regulation variation as well as in the designing of the lay-out improvements. The results indicated that the 40% of the input waste was recovered as valuable products and that a large part of these (88%) complied with the standards of the recycling companies. The evaluation of the indicators led to the decision to modify the layout to improve the interception of some polymers for which the performance indicators were poor. In particular, two additional optical sorters have to be inserted to increase the yield indicator and to the overall performance of the facility. Definitely, the results of the work allowed to: increase the yield and purity of products' flows; ensure the compliance of waste flows; increase the workability. Copyright © 2017 Elsevier Ltd. All rights reserved.

Data reductions and data quality for the high resolution spectrograph on the Southern African Large Telescope

NASA Astrophysics Data System (ADS)

Crawford, S. M.; Crause, Lisa; Depagne, Éric; Ilkiewicz, Krystian; Schroeder, Anja; Kuhn, Rudolph; Hettlage, Christian; Romero Colmenaro, Encarni; Kniazev, Alexei; Väisänen, Petri

2016-08-01

The High Resolution Spectrograph (HRS) on the Southern African Large Telescope (SALT) is a dual beam, fiber-fed echelle spectrograph providing high resolution capabilities to the SALT observing community. We describe the available data reduction tools and the procedures put in place for regular monitoring of the data quality from the spectrograph. Data reductions are carried out through the pyhrs package. The data characteristics and instrument stability are reported as part of the SALT Dashboard to help monitor the performance of the instrument.

Improving Trends in Gender Disparities in the Department of Veterans Affairs: 2008–2013

PubMed Central

Czarnogorski, Maggie; Wright, Steve M.; Hayes, Patricia M.; Haskell, Sally G.

2014-01-01

Increasing numbers of women veterans using Department of Veterans Affairs (VA) services has contributed to the need for equitable, high-quality care for women. The VA has evaluated performance measure data by gender since 2006. In 2008, the VA launched a 5-year women’s health redesign, and, in 2011, gender disparity improvement was included on leadership performance plans. We examined data from VA Office of Analytics and Business Intelligence quarterly gender reports for trends in gender disparities in gender-neutral performance measures from 2008 to 2013. Through reporting of data by gender, leadership involvement, electronic reminders, and population management dashboards, VA has seen a decreasing trend in gender inequities on most Health Effectiveness Data and Information Set performance measures. PMID:25100416

Driving with roadmaps and dashboards: using information resources to structure the decision models in service organizations.

PubMed

Chorpita, Bruce F; Bernstein, Adam; Daleiden, Eric L

2008-03-01

This paper illustrates the application of design principles for tools that structure clinical decision-making. If the effort to implement evidence-based practices in community services organizations is to be effective, attention must be paid to the decision-making context in which such treatments are delivered. Clinical research trials commonly occur in an environment characterized by structured decision making and expert supports. Technology has great potential to serve mental health organizations by supporting these potentially important contextual features of the research environment, through organization and reporting of clinical data into interpretable information to support decisions and anchor decision-making procedures. This article describes one example of a behavioral health reporting system designed to facilitate clinical and administrative use of evidence-based practices. The design processes underlying this system-mapping of decision points and distillation of performance information at the individual, caseload, and organizational levels-can be implemented to support clinical practice in a wide variety of settings.

Improving the Quality of Care for Patients Diagnosed With Glioma During the Perioperative Period

PubMed Central

Riblet, Natalie B.V.; Schlosser, Evelyn M.; Homa, Karen; Snide, Jennifer A.; Jarvis, Lesley A.; Simmons, Nathan E.; Sargent, David H.; Mason, Linda P.; Cooney, Tobi J.; Kennedy, Nancy L.; Fadul, Camilo E.

2014-01-01

Purpose: Although there is agreement on the oncologic management of patients with glioma, few guidelines exist to standardize other aspects of care, including supportive care. Methods: A quality improvement (QI) project was chartered to improve the care provided to patients with glioma. A multidisciplinary team was convened and identified 10 best-practice measures. Using a plan-do-study-act framework, the team brainstormed and implemented various improvement interventions between June 2011 and October 2012. Statistical process control charts were used to evaluate progress. A dashboard of quality measures was generated to allow for ongoing measurement and reporting. Results: The retrospective assessment phase consisted of 43 patients with diagnosis of glioma. A manual medical record review for these patients showed that compliance with 10 best-practice measures ranged from 23% to 100%. Several factors contributed to less-than-ideal process performance, including poor communication among disciplines and lack of familiarity with the larger system of care. After implementing improvement interventions, performance was measured in 96 consecutive patients with glioma. The proportion of patients who met criteria for 10 practice measures significantly improved (pre-QI work, 63%; post-QI work, 85%; P = .003). The largest improvement was observed in the measure assessing for preoperative notification of the neuro-oncology program (pre-QI work, 39%; post-QI work, 97%; P < .001). Conclusion: QI principles were used by a multidisciplinary team to improve the quality of care for patients with glioma during the perioperative period. Leadership involvement, ongoing dialogue across departments, and reporting of system performance were important for sustaining process improvements. PMID:25294392

The EPA Comptox Chemistry Dashboard: A Web-Based Data ...

EPA Pesticide Factsheets

The U.S. Environmental Protection Agency (EPA) Computational Toxicology Program integrates advances in biology, chemistry, and computer science to help prioritize chemicals for further research based on potential human health risks. This work involves computational and data driven approaches that integrate chemistry, exposure and biological data. As an outcome of these efforts the National Center for Computational Toxicology (NCCT) has measured, assembled and delivered an enormous quantity and diversity of data for the environmental sciences including high-throughput in vitro screening data, in vivo and functional use data, exposure models and chemical databases with associated properties. A series of software applications and databases have been produced over the past decade to deliver these data but recent developments have focused on the development of a new software architecture that assembles the resources into a single platform. A new web application, the CompTox Chemistry Dashboard provides access to data associated with ~720,000 chemical substances. These data include experimental and predicted physicochemical property data, bioassay screening data associated with the ToxCast program, product and functional use information and a myriad of related data of value to environmental scientists. The dashboard provides chemical-based searching based on chemical names, synonyms and CAS Registry Numbers. Flexible search capabilities allow for chemical identificati

Antimicrobial resistance dashboard application for mapping environmental occurrence and resistant pathogens.

PubMed

Stedtfeld, Robert D; Williams, Maggie R; Fakher, Umama; Johnson, Timothy A; Stedtfeld, Tiffany M; Wang, Fang; Khalife, Walid T; Hughes, Mary; Etchebarne, Brett E; Tiedje, James M; Hashsham, Syed A

2016-03-01

An antibiotic resistance (AR) Dashboard application is being developed regarding the occurrence of antibiotic resistance genes (ARG) and bacteria (ARB) in environmental and clinical settings. The application gathers and geospatially maps AR studies, reported occurrence and antibiograms, which can be downloaded for offline analysis. With the integration of multiple data sets, the database can be used on a regional or global scale to identify hot spots for ARGs and ARB; track and link spread and transmission, quantify environmental or human factors influencing presence and persistence of ARG harboring organisms; differentiate natural ARGs from those distributed via human or animal activity; cluster and compare ARGs connections in different environments and hosts; and identify genes that can be used as proxies to routinely monitor anthropogenic pollution. To initially populate and develop the AR Dashboard, a qPCR ARG array was tested with 30 surface waters, primary influent from three waste water treatment facilities, ten clinical isolates from a regional hospital and data from previously published studies including river, park soil and swine farm samples. Interested users are invited to download a beta version (available on iOS or Android), submit AR information using the application, and provide feedback on current and prospective functionalities. © FEMS 2016. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

The EPA CompTox Chemistry Dashboard - an online resource ...

EPA Pesticide Factsheets

The U.S. Environmental Protection Agency (EPA) Computational Toxicology Program integrates advances in biology, chemistry, and computer science to help prioritize chemicals for further research based on potential human health risks. This work involves computational and data driven approaches that integrate chemistry, exposure and biological data. As an outcome of these efforts the National Center for Computational Toxicology (NCCT) has measured, assembled and delivered an enormous quantity and diversity of data for the environmental sciences including high-throughput in vitro screening data, in vivo and functional use data, exposure models and chemical databases with associated properties. A series of software applications and databases have been produced over the past decade to deliver these data. Recent work has focused on the development of a new architecture that assembles the resources into a single platform. With a focus on delivering access to Open Data streams, web service integration accessibility and a user-friendly web application the CompTox Dashboard provides access to data associated with ~720,000 chemical substances. These data include research data in the form of bioassay screening data associated with the ToxCast program, experimental and predicted physicochemical properties, product and functional use information and related data of value to environmental scientists. This presentation will provide an overview of the CompTox Dashboard and its va

Technology in the OR: AORN Members' Perceptions of the Effects on Workflow Efficiency and Quality Patient Care.

PubMed

Sipes, Carolyn; Baker, Joy Don

2015-09-01

This collaborative study sought to describe technology used by AORN members at work, inclusive of radio-frequency identification or barcode scanning (RFID), data collection tools (DATA), workflow or dashboard management tools (DASHBOARD), and environmental services/room decontamination technologies (ENVIRON), and to identify the perceived effects of each technology on workflow efficiency (WFE) and quality patient care (QPC). The 462 respondents to the AORN Technology in the OR survey reported use of technology (USE) in all categories. Eleven of 17 RFID items had a strong positive correlation between the designated USE item and the perceived effect on WFE and QPC. Five of the most-used technology items were found in the DATA category. Two of the five related to Intraoperative Nursing Documentation and the use of the Perioperative Nursing Data Set. The other three related to Imaging Integration for Radiology Equipment, Video Camera Systems, and Fiber-optic Systems. All three elements explored in the DASHBOARD category (ie, Patient Update, OR Case, OR Efficiency) demonstrated approximately 50% or greater perceived effectiveness in WFE and QPC. There was a low reported use of ENVIRON technologies, resulting in limited WFE and QPC data for this category. Copyright © 2015 AORN, Inc. Published by Elsevier Inc. All rights reserved.

Study protocol: improving the transition of care from a non-network hospital back to the patient's medical home.

PubMed

Ayele, Roman A; Lawrence, Emily; McCreight, Marina; Fehling, Kelty; Peterson, Jamie; Glasgow, Russell E; Rabin, Borsika A; Burke, Robert; Battaglia, Catherine

2017-02-10

The process of transitioning Veterans to primary care following a non-Veterans Affairs (VA) hospitalization can be challenging. Poor transitions result in medical complications and increased hospital readmissions. The goal of this transition of care quality improvement (QI) project is to identify gaps in the current transition process and implement an intervention that bridges the gap and improves the current transition of care process within the Eastern Colorado Health Care System (ECHCS). We will employ qualitative methods to understand the current transition of care process back to VA primary care for Veterans who received care in a non-VA hospital in ECHCS. We will conduct in-depth semi-structured interviews with Veterans hospitalized in 2015 in non-VA hospitals as well as both VA and non-VA providers, staff, and administrators involved in the current care transition process. Participants will be recruited using convenience and snowball sampling. Qualitative data analysis will be guided by conventional content analysis and Lean Six Sigma process improvement tools. We will use VA claim data to identify the top ten non-VA hospitals serving rural and urban Veterans by volume and Veterans that received inpatient services at non-VA hospitals. Informed by both qualitative and quantitative data, we will then develop a transitions care coordinator led intervention to improve the transitions process. We will test the transition of care coordinator intervention using repeated improvement cycles incorporating salient factors in value stream mapping that are important for an efficient and effective transition process. Furthermore, we will complete a value stream map of the transition process at two other VA Medical Centers and test whether an implementation strategy of audit and feedback (the value stream map of the current transition process with the Transition of Care Dashboard) versus audit and feedback with Transition Nurse facilitation of the process using the Resource Guide and Transition of Care Dashboard improves the transition process, continuity of care, patient satisfaction and clinical outcomes. Our current transition of care process has shortcomings. An intervention utilizing a transition care coordinator has the potential to improve this process. Transitioning Veterans to primary care following a non-VA hospitalization is a crucial step for improving care coordination for Veterans.

Development of an Obesity Prevention Dashboard for Wisconsin.

PubMed

Ryan, Karissa; Pillai, Parvathy; Remington, Patrick L; Malecki, Kristen; Lindberg, Sara

2016-11-01

A comprehensive obesity surveillance system monitors obesity rates along with causes and related health policies, which are valuable for tracking and identifying problems needing intervention. A statewide obesity dashboard was created using the County Health Rankings model. Indicators were obtained through publicly available secondary data sources and used to rank Wisconsin amongst other states on obesity rates, health factors, and policies. Wisconsin consistently ranks in the middle of states for a majority of indicators and has not implemented any of the evidence-based health policies. This state of obesity report shows Wisconsin has marked room for improvement regarding obesity prevention, especially with obesity-related health policies. Physicians and health care systems can play a pivotal role in making progress on obesity prevention.

The development of a congenital heart programme quality dashboard to promote transparent reporting of outcomes.

PubMed

Anand, Vijay; Cave, Dominic; McCrady, Heather; Al-Aklabi, Mohammed; Ross, David B; Rebeyka, Ivan M; Adatia, Ian

2015-12-01

In 2001, the Institute of Medicine identified healthcare transparency as a necessity for re-designing a quality healthcare system; however, despite widespread calls for publicly available transparent data, the goal remains elusive. The transparent reporting of outcome data and the results of congenital heart surgery is critical to inform patients and families who have both the wish and the ability to choose where care is provided. Indeed, in an era where data and means of communication of data have never been easier, the paucity of transparent data reporting is paradoxical. We describe the development of a quality dashboard used to inform staff, patients, and families about the outcomes of congenital heart surgery at the Stollery Children's Hospital.

A Real-time Ventilator Management Dashboard: Toward Hardwiring Compliance with Evidence-based Guidelines

PubMed Central

Starmer, John; Giuse, Dario

2008-01-01

Care of mechanically ventilated patients requires coordination between multiple caregivers, necessitating the availability of accurate and timely information on patient status. Researchers have documented positive effects of several interventions on the rates of developing ventilator associated complications, such as providing regular oral care and elevating the head of the bed. Informatics tools, such as electronic whiteboards, reminders, and alerts have been shown to aid in clinician compliance with guidelines or protocols. The purpose of this project was to design and implement a real-time ventilator management dashboard to show patient status with respect to elements important for ventilator management and infection prevention in the adult Intensive Care Units at Vanderbilt University Medical Center. PMID:18998939

Multifunctions - liquid crystal displays

NASA Astrophysics Data System (ADS)

Bechteler, M.

1980-12-01

Large area liquid crystal displays up to 400 cm square were developed capable of displaying a large quantity of analog and digital information, such as required for car dashboards, communication systems, and data processing, while fulfilling the attendant requirements on view tilt angle and operating temperature range. Items incorporated were: low resistance conductive layers deposited by means of a sputtermachine, preshaped glasses and broken glassfibers, assuring perfect parallellism between glass plates, rubbed plastic layers for excellent electrooptical properties, and fluorescent plates for display illumination in bright sunlight as well as in dim light conditions. Prototypes are described for clock and automotive applications.

Health professionals' perceptions about their clinical performance and the influence of audit and feedback on their intentions to improve practice: a theory-based study in Dutch intensive care units.

PubMed

Gude, Wouter T; Roos-Blom, Marie-José; van der Veer, Sabine N; Dongelmans, Dave A; de Jonge, Evert; Francis, Jill J; Peek, Niels; de Keizer, Nicolette F

2018-02-17

Audit and feedback aims to guide health professionals in improving aspects of their practice that need it most. Evidence suggests that feedback fails to increase accuracy of professional perceptions about clinical performance, which likely reduces audit and feedback effectiveness. This study investigates health professionals' perceptions about their clinical performance and the influence of feedback on their intentions to change practice. We conducted an online laboratory experiment guided by Control Theory with 72 intensive care professionals from 21 units. For each of four new pain management indicators, we collected professionals' perceptions about their clinical performance; peer performance; targets; and improvement intentions before and after receiving first-time feedback. An electronic audit and feedback dashboard provided ICU's own performance, median and top 10% peer performance, and improvement recommendations. The experiment took place approximately 1 month before units enrolled into a cluster-randomised trial assessing the impact of adding a toolbox with suggested actions and materials to improve intensive care pain management. During the experiment, the toolbox was inaccessible; all participants accessed the same version of the dashboard. We analysed 288 observations. In 53.8%, intensive care professionals overestimated their clinical performance; but in only 13.5%, they underestimated it. On average, performance was overestimated by 22.9% (on a 0-100% scale). Professionals similarly overestimated peer performance, and set targets 20.3% higher than the top performance benchmarks. In 68.4% of cases, intentions to improve practice were consistent with actual gaps in performance, even before professionals had received feedback; which increased to 79.9% after receiving feedback (odds ratio, 2.41; 95% CI, 1.53 to 3.78). However, in 56.3% of cases, professionals still wanted to improve care aspects at which they were already top performers. Alternatively, in 8.3% of cases, they lacked improvement intentions because they did not consider indicators important; did not trust the data; or deemed benchmarks unrealistic. Audit and feedback helps health professionals to work on aspects for which improvement is recommended. Given the abundance of professionals' prior good improvement intentions, the limited effects typically found by audit and feedback studies are likely predominantly caused by barriers to translation of intentions into actual change in clinical practice. ClinicalTrials.gov NCT02922101 . Registered 26 September 2016.

Tools, Techniques, and Applications: Normalizing the VR Paradigm

NASA Technical Reports Server (NTRS)

Duncan, Gaeme

2008-01-01

Oshynee's precision Learning Objective performance factor rubrics with associated behavioral anchors integrates with Thinking Worlds(TradeMark), to provide event data recording and dynamic prescriptive feedback. Thinking Worlds(TradeMark) provides SCORM parametric data for reporting within the game and within overarching curricula or workplace evaluation strategy. - Open-sourced, browser-based digital dashboard reporting tools collect data from TW, LMS, LCMS, HR, and workplace metrics or control systems The games may be delivered across the internet or in a range of networked and stand-alone methods using the delivery model (s) required by the host organization.

A comparative evaluation of in-vehicle side view displays layouts in critical lane changing situation.

PubMed

Beck, Donghyun; Lee, Minho; Park, Woojin

2017-12-01

This study conducted a driving simulator experiment to comparatively evaluate three in-vehicle side view displays layouts for camera monitor systems (CMS) and the traditional side view mirror arrangement. The three layouts placed two electronic side view displays near the traditional mirrors positions, on the dashboard at each side of the steering wheel and on the centre fascia with the two displays joined side-by-side, respectively. Twenty-two participants performed a time- and safety-critical driving task that required rapidly gaining situation awareness through the side view displays/mirrors and making a lane change to avoid collision. The dependent variables were eye-off-the-road time, response time, and, ratings of perceived workload, preference and perceived safety. Overall, the layout placing the side view displays on the dashboard at each side of the steering wheel was found to be the best. The results indicated that reducing eye gaze travel distance and maintaining compatibility were both important for the design of CMS displays layout. Practitioner Summary: A driving simulator study was conducted to comparatively evaluate three in-vehicle side view displays layouts for camera monitor systems (CMS) and the traditional side view mirror arrangement in critical lane changing situation. Reducing eye movement and maintaining compatibility were found to be both important for the ergonomics design of CMS displays layout.

Assessment Methodology for Process Validation Lifecycle Stage 3A.

PubMed

Sayeed-Desta, Naheed; Pazhayattil, Ajay Babu; Collins, Jordan; Chen, Shu; Ingram, Marzena; Spes, Jana

2017-07-01

The paper introduces evaluation methodologies and associated statistical approaches for process validation lifecycle Stage 3A. The assessment tools proposed can be applied to newly developed and launched small molecule as well as bio-pharma products, where substantial process and product knowledge has been gathered. The following elements may be included in Stage 3A: number of 3A batch determination; evaluation of critical material attributes, critical process parameters, critical quality attributes; in vivo in vitro correlation; estimation of inherent process variability (IPV) and PaCS index; process capability and quality dashboard (PCQd); and enhanced control strategy. US FDA guidance on Process Validation: General Principles and Practices, January 2011 encourages applying previous credible experience with suitably similar products and processes. A complete Stage 3A evaluation is a valuable resource for product development and future risk mitigation of similar products and processes. Elements of 3A assessment were developed to address industry and regulatory guidance requirements. The conclusions made provide sufficient information to make a scientific and risk-based decision on product robustness.

Leveraging Trillions of Pixels for Flood Mitigation Decisions Support in the Rio Salado Basin, Argentina

NASA Astrophysics Data System (ADS)

Sullivan, J.; Routh, D.; Tellman, B.; Doyle, C.; Tomlin, J. N.

2017-12-01

The Rio Salado River Basin in Argentina is an economically important region that generates 25-30 percent of Argentina's grain and meat production. Between 2000-2011, floods in the basin caused nearly US$4.5 billion in losses and affected 5.5 million people. With the goal of developing cost-efficient flood monitoring and prediction capabilities in the Rio Salado Basin to support decision making, Cloud to Street is developing satellite based analytics to cover information gaps and improve monitoring capacity. This talk will showcase the Flood Risk Dashboard developed by Cloud to Street to support monitoring and decision-making at the level of provincial and national water management agencies in the Rio Salado Watershed. The Dashboard is based on analyzing thousands of MODIS, Landsat, and Sentinel scenes in Google Earth Engine to reconstruct the spatial history of flooding in the basin. The tool, iteratively designed with the end-user, shows a history of floodable areas with specific return times, exposed land uses and population, precipitation hyetographs, and spatial and temporal flood trends in the basin. These trends are used to understand both the impact of past flood mitigation investments (i.e. wetland reconstruction) and identify shifting flood risks. Based on this experience, we will also describe best practices on making remote sensing "flood dashboards" for water agencies.

Data System Architectures: Recent Experiences from Data Intensive Projects

NASA Astrophysics Data System (ADS)

Palanisamy, G.; Frame, M. T.; Boden, T.; Devarakonda, R.; Zolly, L.; Hutchison, V.; Latysh, N.; Krassovski, M.; Killeffer, T.; Hook, L.

2014-12-01

U.S. Federal agencies are frequently trying to address new data intensive projects that require next generation of data system architectures. This presentation will focus on two new such architectures: USGS's Science Data Catalog (SDC) and DOE's Next Generation Ecological Experiments - Arctic Data System. The U.S. Geological Survey (USGS) developed a Science Data Catalog (data.usgs.gov) to include records describing datasets, data collections, and observational or remotely-sensed data. The system was built using service oriented architecture and allows USGS scientists and data providers to create and register their data using either a standards-based metadata creation form or simply to register their already-created metadata records with the USGS SDC Dashboard. This dashboard then compiles the harvested metadata records and sends them to the post processing and indexing service using the JSON format. The post processing service, with the help of various ontologies and other geo-spatial validation services, auto-enhances these harvested metadata records and creates a Lucene index using the Solr enterprise search platform. Ultimately, metadata is made available via the SDC search interface. DOE's Next Generation Ecological Experiments (NGEE) Arctic project deployed a data system that allows scientists to prepare, publish, archive, and distribute data from field collections, lab experiments, sensors, and simulated modal outputs. This architecture includes a metadata registration form, data uploading and sharing tool, a Digital Object Identifier (DOI) tool, a Drupal based content management tool (http://ngee-arctic.ornl.gov), and a data search and access tool based on ORNL's Mercury software (http://mercury.ornl.gov). The team also developed Web-metric tools and a data ingest service to visualize geo-spatial and temporal observations.

Chelyabinsk: Portrait of an asteroid airburst

DOE Office of Scientific and Technical Information (OSTI.GOV)

Kring, David A.; Boslough, Mark

Video and audio from hundreds of smartphones and dashboard cameras combined with seismic, acoustic, and satellite measurements provide the first precise documentation of a 10 000-ton asteroid explosion.

A quantitative visual dashboard to explore exposures to ...

EPA Pesticide Factsheets

The Exposure Prioritization (Ex Priori) model features a simplified, quantitative visual dashboard to explore exposures across chemical space. Diverse data streams are integrated within the interface such that different exposure scenarios for “individual,” “population,” or “professional” time-use profiles can be interchanged to tailor exposure and quantitatively explore multi-chemical signatures of exposure, internalized dose (uptake), body burden, and elimination. Ex Priori will quantitatively extrapolate single-point estimates of both exposure and internal dose for multiple exposure scenarios, factors, products, and pathways. Currently, EPA is investigating its usefulness in life cycle analysis, insofar as its ability to enhance exposure factors used in calculating characterization factors for human health. Presented at 2016 Annual ISES Meeting held in Utrecht, The Netherlands, from 9-13 October 2016.

Prenatal Care Checkup

MedlinePlus

... page. Saving Just a moment, please. You've saved this page It's been added to your dashboard . ... A vaccination is a shot that contains a vaccine that helps protect you from certain harmful infections. ...

Your Growing Baby

MedlinePlus

... page. Saving Just a moment, please. You've saved this page It's been added to your dashboard . ... health educators. GO Your baby's shots Learn about vaccines that help keep baby healthy. GO News Moms ...

Creating Simple Windchill Admin Tools Using Info*Engine

NASA Technical Reports Server (NTRS)

Jones, Corey; Kapatos, Dennis; Skradski, Cory

2012-01-01

Being a Windchill administrator often requires performing simple yet repetitive tasks on large sets of objects. These can include renaming, deleting, checking in, undoing checkout, and much more. This is especially true during a migration. Fortunately, PTC has provided a simple way to dynamically interact with Windchill using Info*Engine. This presentation will describe how to create simple Info*Engine tasks capable of saving Windchill 10.0 administrators hours of tedious work. It will also show how these tasks can be combined and displayed on a simple JSP page that acts as a "Windchill Administrator Dashboard/Toolbox". The attendee will learn some valuable tasks Info*Engine capable of performing. The attendee will gain a basic understanding of how to perform and implement Info*Engine tasks. The attendee will learn what's involved in creating a JSP page that displays Info*Engine tasks

Enhancing UCSF Chimera through web services

PubMed Central

Huang, Conrad C.; Meng, Elaine C.; Morris, John H.; Pettersen, Eric F.; Ferrin, Thomas E.

2014-01-01

Integrating access to web services with desktop applications allows for an expanded set of application features, including performing computationally intensive tasks and convenient searches of databases. We describe how we have enhanced UCSF Chimera (http://www.rbvi.ucsf.edu/chimera/), a program for the interactive visualization and analysis of molecular structures and related data, through the addition of several web services (http://www.rbvi.ucsf.edu/chimera/docs/webservices.html). By streamlining access to web services, including the entire job submission, monitoring and retrieval process, Chimera makes it simpler for users to focus on their science projects rather than data manipulation. Chimera uses Opal, a toolkit for wrapping scientific applications as web services, to provide scalable and transparent access to several popular software packages. We illustrate Chimera's use of web services with an example workflow that interleaves use of these services with interactive manipulation of molecular sequences and structures, and we provide an example Python program to demonstrate how easily Opal-based web services can be accessed from within an application. Web server availability: http://webservices.rbvi.ucsf.edu/opal2/dashboard?command=serviceList. PMID:24861624

Case and Administrative Support Tools

EPA Pesticide Factsheets

Case and Administrative Support Tools (CAST) is the secure portion of the Office of General Counsel (OGC) Dashboard business process automation tool used to help reduce office administrative labor costs while increasing employee effectiveness. CAST supports business functions which rely on and store Privacy Act sensitive data (PII). Specific business processes included in CAST (and respective PII) are: -Civil Rights Cast Tracking (name, partial medical history, summary of case, and case correspondance). -Employment Law Case Tracking (name, summary of case). -Federal Tort Claims Act Incident Tracking (name, summary of incidents). -Ethics Program Support Tools and Tracking (name, partial financial history). -Summer Honors Application Tracking (name, home address, telephone number, employment history). -Workforce Flexibility Initiative Support Tools (name, alternative workplace phone number). -Resource and Personnel Management Support Tools (name, partial employment and financial history).

FEDFacts: Information about the Federal Electronic Docket Facilities

EPA Pesticide Factsheets

Cleanup status information related to Federal Facilities contained in EPA's Federal Agency Hazardous Waste Compliance Docket. Information includes maps, lists of facilities, dashboard view with graphs, links to community resources, and news items.

Improvements to the User Interface for LHCb's Software continuous integration system.

NASA Astrophysics Data System (ADS)

Clemencic, M.; Couturier, B.; Kyriazi, S.

2015-12-01

The purpose of this paper is to identify a set of steps leading to an improved interface for LHCb's Nightly Builds Dashboard. The goal is to have an efficient application that meets the needs of both the project developers, by providing them with a user friendly interface, as well as those of the computing team supporting the system, by providing them with a dashboard allowing for better monitoring of the build job themselves. In line with what is already used by LHCb, the web interface has been implemented with the Flask Python framework for future maintainability and code clarity. The Database chosen to host the data is the schema-less CouchDB[7], serving the purpose of flexibility in document form changes. To improve the user experience, we use JavaScript libraries such as JQuery[11].

Development of the ISS EMU Dashboard Software

NASA Technical Reports Server (NTRS)

Bernard, Craig; Hill, Terry R.

2011-01-01

The EMU (Extra-Vehicular Mobility Unit) Dashboard was developed at NASA s Johnson Space Center to aid in real-time mission support for the ISS (International Space Station) and Shuttle EMU space suit by time synchronizing down-linked video, space suit data and audio from the mission control audio loops. Once the input streams are synchronized and recorded, the data can be replayed almost instantly and has proven invaluable in understanding in-flight hardware anomalies and playing back information conveyed by the crew to missions control and the back room support. This paper will walk through the development from an engineer s idea brought to life by an intern to real time mission support and how this tool is evolving today and its challenges to support EVAs (Extra-Vehicular Activities) and human exploration in the 21st century.

Tutorial Video Series: Using Stakeholder Outreach to Increase ...

EPA Pesticide Factsheets

The limited amount of toxicity data on thousands of chemicals found in consumer products has led to the development of research endeavors such as the U.S. EPA’s Toxicity Forecaster (ToxCast). ToxCast uses high-throughput screening technology to evaluate thousands of chemicals for potential toxicity. At the end of 2013, U.S. EPA released ToxCast chemical data on almost 2,000 chemicals through the interactive Chemical Safety for Sustainability (iCSS) Dashboard. The iCSS Dashboard provides public access to the high-throughput screening data that can be used to inform the evaluation of the safety of chemicals. U.S. EPA recognized early in the development of ToxCast that stakeholder outreach was needed in order to translate the complex scientific information featured in the iCSS Dashboard and data, with the goal of educating the diverse user community through targeted efforts to increase data usage and analysis. Through survey feedback and the request of stakeholders, a series of tutorial videos to demonstrate how to access and use the data has been planned, and the first video of the series has been released to guide data usage. This presentation will describe the video tutorial strategy including an overview of: 1) Stakeholder outreach goals and approach; 2) Planning, production, and dissemination of tutorial videos; 3) Overview of Survey Feedback; 4) Overview of tutorial video usage statistics and usage of the ToxCast data. This stakeholder-outreach approach

Finite element simulation of lower limb injuries to the driver in minibus frontal collisions.

PubMed

Shi, Liang-Liang; Lei, Chen; Li, Kui; Fu, Shuo-Zhen; Wu, Zheng-Wei; Yin, Zhi-Yong

2016-06-01

This study aims to explore the biomechanical mechanism of lower limb injuries to the driver by establishing a finite element (FE) simulation model of collisions. First a minibus FE model was integrated with a seat belt system. Then it was used to rebuild two collisions together with the total human model for safety (THUMS) provided by Toyota Motor Corporation: a rear-end collision between a minibus and a truck and a head-on collision of a minibus to a rigid wall. The impact velocities of both collisions were set at 56 km/h. The vehicle dynamic response, vehicle deceleration, and dashboard intrusion in the two collisions were compared. In the minibus rear-end truck collision, the peak values of the von Mises equivalent stress at the tibia and the femur were 133 MPa and 126 MPa respectively; while in the minibus head-on rigid wall collision, the data were 139 MPa and 99 MPa. Compared with the minibus head-on rigid wall collision, the vehicle deceleration was smaller and the dashboard intrusion was larger in the minibus rear-end truck collision. The results illustrate that a longer dashboard incursion distance corresponds to a higher von Mises equivalent stress at the femur. The simulation results are consistent with the driver's autopsy report on lower limbs injuries. These findings verify that FE simulation method is reliable and useful to analyze the mechanisms of lower limb injuries to the driver in minibus frontal collisions.

Clinical Decision Support Alert Appropriateness: A Review and Proposal for Improvement

PubMed Central

McCoy, Allison B.; Thomas, Eric J.; Krousel-Wood, Marie; Sittig, Dean F.

2014-01-01

Background Many healthcare providers are adopting clinical decision support (CDS) systems to improve patient safety and meet meaningful use requirements. Computerized alerts that prompt clinicians about drug-allergy, drug-drug, and drug-disease warnings or provide dosing guidance are most commonly implemented. Alert overrides, which occur when clinicians do not follow the guidance presented by the alert, can hinder improved patient outcomes. Methods We present a review of CDS alerts and describe a proposal to develop novel methods for evaluating and improving CDS alerts that builds upon traditional informatics approaches. Our proposal incorporates previously described models for predicting alert overrides that utilize retrospective chart review to determine which alerts are clinically relevant and which overrides are justifiable. Results Despite increasing implementations of CDS alerts, detailed evaluations rarely occur because of the extensive labor involved in manual chart reviews to determine alert and response appropriateness. Further, most studies have solely evaluated alert overrides that are appropriate or justifiable. Our proposal expands the use of web-based monitoring tools with an interactive dashboard for evaluating CDS alert and response appropriateness that incorporates the predictive models. The dashboard provides 2 views, an alert detail view and a patient detail view, to provide a full history of alerts and help put the patient's events in context. Conclusion The proposed research introduces several innovations to address the challenges and gaps in alert evaluations. This research can transform alert evaluation processes across healthcare settings, leading to improved CDS, reduced alert fatigue, and increased patient safety. PMID:24940129

Real-Time Smart Textile-Based System to Monitor Pressure Offloading of Diabetic Foot Ulcers.

PubMed

Raviglione, Andrea; Reif, Roberto; Macagno, Maurizio; Vigano, Davide; Schram, Justin; Armstrong, David

2017-09-01

The lifetime risk of developing a diabetic foot ulcer (DFU) is at least 25%. A DFU carries a 50% risk for infection and at least 20% of those receive some form of amputation. The most significant parameter that prevents or delays ulcer healing is high plantar pressure. To improve the patient's healing process, the DFU's plantar pressure should remain cumulatively low. Therefore, a tool that continuously measures the DFU loading, and provides real-time feedback can improve the healing outcome. We report the development of a system capable of continuously measuring the pressure, which could have applications to monitor DFU. The system contains a textile pressure sensor attached to a stretchable band, hardware that collects data and transmits them via Bluetooth to a phone, an app that gathers the data and stores them in the cloud, and a web dashboard that displays the data to the clinician. The sensor was characterized in vitro using the system, and the web-dashboard was developed and tested on simulated patient data. We demonstrate the feasibility of developing the system and characterize the pressure response of the device. As a result, we demonstrate a viable method for monitoring DFU off-loading in real time. The presented study demonstrates the feasibility to develop a simple, modular wearable system that opens up new possibilities for diabetic foot ulcer care by providing a way of monitoring the pressure under the ulcer in real time.

Use of electronic medical record-enhanced checklist and electronic dashboard to decrease CLABSIs.

PubMed

Pageler, Natalie M; Longhurst, Christopher A; Wood, Matthew; Cornfield, David N; Suermondt, Jaap; Sharek, Paul J; Franzon, Deborah

2014-03-01

We hypothesized that a checklist enhanced by the electronic medical record and a unit-wide dashboard would improve compliance with an evidence-based, pediatric-specific catheter care bundle and decrease central line-associated bloodstream infections (CLABSI). We performed a cohort study with historical controls that included all patients with a central venous catheter in a 24-bed PICU in an academic children's hospital. Postintervention CLABSI rates, compliance with bundle elements, and staff perceptions of communication were evaluated and compared with preintervention data. CLABSI rates decreased from 2.6 CLABSIs per 1000 line-days before intervention to 0.7 CLABSIs per 1000 line-days after intervention. Analysis of specific bundle elements demonstrated increased daily documentation of line necessity from 30% to 73% (P < .001), increased compliance with dressing changes from 87% to 90% (P = .003), increased compliance with cap changes from 87% to 93% (P < .001), increased compliance with port needle changes from 69% to 95% (P < .001), but decreased compliance with insertion bundle documentation from 67% to 62% (P = .001). Changes in the care plan were made during review of the electronic medical record checklist on 39% of patient rounds episodes. Use of an electronic medical record-enhanced CLABSI prevention checklist coupled with a unit-wide real-time display of adherence was associated with increased compliance with evidence-based catheter care and sustained decrease in CLABSI rates. These data underscore the potential for computerized interventions to promote compliance with proven best practices and prevent patient harm.

Treatment of Fatty Acid Oxidation Disorders

MedlinePlus

... Treatment of fatty acid oxidation disorders Treatment of fatty acid oxidation disorders E-mail to a friend Please ... this page It's been added to your dashboard . Fatty acid oxidation disorders are rare health conditions that affect ...

Respiratory Syncytial Virus (RSV)

MedlinePlus

... It's been added to your dashboard . Respiratory syncytial virus (RSV) is a common virus that infects the lungs and breathing passages. Almost ... antiviral is medicine that kills infections caused by viruses. How can you help protect your baby from ...

Structure Identification Using the US EPA's CompTox Chemistry Dashboard (CompTox CoP)

EPA Science Inventory

Community of practice webinar presentation on the Identification of unknowns in non-targeted analyses (NTA) requires the integration of complementary data types to generate a confident consensus structure.

EPA National Center for Computational Toxicology UPDATE (ICCVAM public forum)

EPA Science Inventory

A presentation to the ICCVAM Public Forum on several new and exciting activities at NCCT, including Chemical library update, Chemistry Dashboard, Retrofitting in vitro assays with metabolic competence and In vitro PK.

Making large amounts of meteorological plots easily accessible to users

NASA Astrophysics Data System (ADS)

Lamy-Thepaut, Sylvie; Siemen, Stephan; Sahin, Cihan; Raoult, Baudouin

2015-04-01

The European Centre for Medium-Range Weather Forecasts (ECMWF) is an international organisation providing its member organisations with forecasts in the medium time range of 3 to 15 days, and some longer-range forecasts for up to a year ahead, with varying degrees of detail. As part of its mission, ECMWF generates an increasing number of forecast data products for its users. To support the work of forecasters and researchers and to let them make best use of ECMWF forecasts, the Centre also provides tools and interfaces to visualise their products. This allows users to make use of and explore forecasts without having to transfer large amounts of raw data. This is especially true for products based on ECMWF's 50 member ensemble forecast, where some specific processing and visualisation are applied to extract information. Every day, thousands of raw data are being pushed to the ECMWF's interactive web charts application called ecCharts, and thousands of products are processed and pushed to ECMWF's institutional web site ecCharts provides a highly interactive application to display and manipulate recent numerical forecasts to forecasters in national weather services and ECMWF's commercial customers. With ecCharts forecasters are able to explore ECMWF's medium-range forecasts in far greater detail than has previously been possible on the web, and this as soon as the forecast becomes available. All ecCharts's products are also available through a machine-to-machine web map service based on the OGC Web Map Service (WMS) standard. ECMWF institutional web site provides access to a large number of graphical products. It was entirely redesigned last year. It now shares the same infrastructure as ECMWF's ecCharts, and can benefit of some ecCharts functionalities, for example the dashboard. The dashboard initially developed for ecCharts allows users to organise their own collection of products depending on their work flow, and is being further developed. In its first implementation, It presents the user's products in a single interface with fast access to the original product, and possibilities of synchronous animations between them. But its functionalities are being extended to give users the freedom to collect not only ecCharts's 2D maps and graphs, but also other ECMWF Web products such as monthly and seasonal products, scores, and observation monitoring. The dashboard will play a key role to help the user to interpret the large amount of information that ECMWF is providing. This talk will present examples of how the new user interface can organise complex meteorological maps and graphs and show the new possibilities users have gained by using the web as a medium.

Hospital on a page: standardizing data presentation to drive quality improvement.

PubMed

Heenan, Michael; DiEmanuele, Michelle; Hayward-Murray, Kathryn; Dadgar, Ladan

2012-01-01

Over the past five years, the Credit Valley Hospital (CVH) invested time and financial and human resources into performance measurement systems. In doing so, CVH launched a number of data tools including electronic scorecards and dashboards. However, the processes and accountability structures associated with the tools struggled to gain credibility with clinical and administrative leadership as the performance measurement system was primarily driven by the technology rather than a sound information strategy. Although a corporate-level scorecard was regularly updated, program-related scorecards and other measurement tools were only populated when programs reported to the board, at the time of accreditation or as a result of regulatory requirements. In addition, information contained in data reports was often presented in a manner that did not engage clinical and corporate decision-makers in the key issues of quality, access and sustainability. Following the release of its new strategic plan in 2009, CVH renewed its performance measurement framework and the methods by which it presented data so that the organization's strategic plan could be implemented and measured from the boardroom to the bedside. Long, complex spreadsheets were transformed into strategically designed, easy-to-understand, easy-to-access reports released in a standardized method in terms of format, media, content and timing. The following article describes the method CVH adopted to communicate the organization's performance and the role it played in enhancing the culture of quality and patient safety within the hospital.

Strategic performance management: development of a performance measurement system at the Mayo Clinic.

PubMed

Curtright, J W; Stolp-Smith, S C; Edell, E S

2000-01-01

Managing and measuring performance become exceedingly complex as healthcare institutions evolve into integrated health systems comprised of hospitals, outpatient clinics and surgery centers, nursing homes, and home health services. Leaders of integrated health systems need to develop a methodology and system that align organizational strategies with performance measurement and management. To meet this end, multiple healthcare organizations embrace the performance-indicators reporting system known as a "balanced scorecard" or a "dashboard report." This discrete set of macrolevel indicators gives senior management a fast but comprehensive glimpse of the organization's performance in meeting its quality, operational, and financial goals. The leadership of outpatient operations for Mayo Clinic in Rochester, Minnesota built on this concept by creating a performance management and measurement system that monitors and reports how well the organization achieves its performance goals. Internal stakeholders identified metrics to measure performance in each key category. Through these metrics, the organization links Mayo Clinic's vision, primary value, core principles, and day-to-day operations by monitoring key performance indicators on a weekly, monthly, or quarterly basis.

The EPA Comptox Chemistry Dashboard . (BOSC)

EPA Science Inventory

A consolidated web platform is necessary for researchers to access chemical information look-up, models and model predictions and linkages to Agency and public resources. This will provide access to: curated chemical structures, computed and measured physchem properties, exposure...

Knowledge as a Service at the Point of Care.

PubMed

Shellum, Jane L; Freimuth, Robert R; Peters, Steve G; Nishimura, Rick A; Chaudhry, Rajeev; Demuth, Steve J; Knopp, Amy L; Miksch, Timothy A; Milliner, Dawn S

2016-01-01

An electronic health record (EHR) can assist the delivery of high-quality patient care, in part by providing the capability for a broad range of clinical decision support, including contextual references (e.g., Infobuttons), alerts and reminders, order sets, and dashboards. All of these decision support tools are based on clinical knowledge; unfortunately, the mechanisms for managing rules, order sets, Infobuttons, and dashboards are often unrelated, making it difficult to coordinate the application of clinical knowledge to various components of the clinical workflow. Additional complexity is encountered when updating enterprise-wide knowledge bases and delivering the content through multiple modalities to different consumers. We present the experience of Mayo Clinic as a case study to examine the requirements and implementation challenges related to knowledge management across a large, multi-site medical center. The lessons learned through the development of our knowledge management and delivery platform will help inform the future development of interoperable knowledge resources.

Knowledge as a Service at the Point of Care

PubMed Central

Shellum, Jane L.; Freimuth, Robert R.; Peters, Steve G.; Nishimura, Rick A.; Chaudhry, Rajeev; Demuth, Steve J.; Knopp, Amy L.; Miksch, Timothy A.; Milliner, Dawn S.

2016-01-01

An electronic health record (EHR) can assist the delivery of high-quality patient care, in part by providing the capability for a broad range of clinical decision support, including contextual references (e.g., Infobuttons), alerts and reminders, order sets, and dashboards. All of these decision support tools are based on clinical knowledge; unfortunately, the mechanisms for managing rules, order sets, Infobuttons, and dashboards are often unrelated, making it difficult to coordinate the application of clinical knowledge to various components of the clinical workflow. Additional complexity is encountered when updating enterprise-wide knowledge bases and delivering the content through multiple modalities to different consumers. We present the experience of Mayo Clinic as a case study to examine the requirements and implementation challenges related to knowledge management across a large, multi-site medical center. The lessons learned through the development of our knowledge management and delivery platform will help inform the future development of interoperable knowledge resources. PMID:28269911

Integration of Peer Philosophy into a Standardized Self-Management Mobile Health Intervention.

PubMed

Fortuna, Karen L; Storm, Marianne; Aschbrenner, Kelly A; Bartels, Stephen J

2018-04-19

Description of certified peer specialists integration of peer philosophy into the delivery of a self-management intervention enhanced with mobile health. Qualitative examination of peer case notes that were routinely entered on a peer care management electronic dashboard. This study included consumers with serious mental illness (N = 8) with a mean age of 68.8 years (SD = 4.9). Certified peer specialists (N = 3) were all female and aged 55 years or older. Peers entered 146 case notes on the peer care management notes dashboard. Five themes emerged including encouragement of self-determination, bio-psychosocial-spiritual framework guides practice, sharing lived experience to teach self-management skills, personalized text messages to reinforce self-management skill development, and identifying unmet needs and advocating for human rights. Peers unique perspectives and expertise was complemented with the standardized delivery of evidence-based intervention enhanced with mobile health.

Playing with data at EPA—ToxCast, ExpoCast, HTTK, and the ...

EPA Pesticide Factsheets

This is a lecture for the Emory Exposome Summer Course in Atlanta, Georgia. The focus will be on how CSS research and tools inform research on exposomics, particularly with identifying relevant chemicals and chemicals pathways from non-targeted monitoring data. This is an opportunity to reach a broad audience of researchers. There will be a live demo of the CSS Chemistry dashboard and CPcat at the end of the presentation. This is a lecture for the Emory Exposome Summer Course in Atlanta, Georgia. The focus will be on how CSS research and tools inform research on exposomics, particularly with identifying relevant chemicals and chemicals pathways from non-targeted monitoring data. This is an opportunity to reach a broad audience of researchers. There will be a live demo of the CSS Chemistry dashboard and CPcat at the end of the presentation.

The WLCG Messaging Service and its Future

NASA Astrophysics Data System (ADS)

Cons, Lionel; Paladin, Massimo

2012-12-01

Enterprise messaging is seen as an attractive mechanism to simplify and extend several portions of the Grid middleware, from low level monitoring to experiments dashboards. The production messaging service currently used by WLCG includes four tightly coupled brokers operated by EGI (running Apache ActiveMQ and designed to host the Grid operational tools such as SAM) as well as two dedicated services for ATLAS-DDM and experiments dashboards (currently also running Apache ActiveMQ). In the future, this service is expected to grow in numbers of applications supported, brokers and technologies. The WLCG Messaging Roadmap identified three areas with room for improvement (security, scalability and availability/reliability) as well as ten practical recommendations to address them. This paper describes a messaging service architecture that is in line with these recommendations as well as a software architecture based on reusable components that ease interactions with the messaging service. These two architectures will support the growth of the WLCG messaging service.

Quality Improvement Intervention for Reduction of Redundant Testing.

PubMed

Ducatman, Alan M; Tacker, Danyel H; Ducatman, Barbara S; Long, Dustin; Perrotta, Peter L; Lawther, Hannah; Pennington, Kelly; Lander, Owen; Warden, Mary; Failinger, Conard; Halbritter, Kevin; Pellegrino, Ronald; Treese, Marney; Stead, Jeffrey A; Glass, Eric; Cianciaruso, Lauren; Nau, Konrad C

2017-01-01

Laboratory data are critical to analyzing and improving clinical quality. In the setting of residual use of creatine kinase M and B isoenzyme testing for myocardial infarction, we assessed disease outcomes of discordant creatine kinase M and B isoenzyme +/troponin I (-) test pairs in order to address anticipated clinician concerns about potential loss of case-finding sensitivity following proposed discontinuation of routine creatine kinase and creatine kinase M and B isoenzyme testing. Time-sequenced interventions were introduced. The main outcome was the percentage of cardiac marker studies performed within guidelines. Nonguideline orders dominated at baseline. Creatine kinase M and B isoenzyme testing in 7496 order sets failed to detect additional myocardial infarctions but was associated with 42 potentially preventable admissions/quarter. Interruptive computerized soft stops improved guideline compliance from 32.3% to 58% ( P < .001) in services not receiving peer leader intervention and to >80% ( P < .001) with peer leadership that featured dashboard feedback about test order performance. This successful experience was recapitulated in interrupted time series within 2 additional services within facility 1 and then in 2 external hospitals (including a critical access facility). Improvements have been sustained postintervention. Laboratory cost savings at the academic facility were estimated to be ≥US$635 000 per year. National collaborative data indicated that facility 1 improved its order patterns from fourth to first quartile compared to peer norms and imply that nonguideline orders persist elsewhere. This example illustrates how pathologists can provide leadership in assisting clinicians in changing laboratory ordering practices. We found that clinicians respond to local laboratory data about their own test performance and that evidence suggesting harm is more compelling to clinicians than evidence of cost savings. Our experience indicates that interventions done at an academic facility can be readily instituted by private practitioners at external facilities. The intervention data also supplement existing literature that electronic order interruptions are more successful when combined with modalities that rely on peer education combined with dashboard feedback about laboratory order performance. The findings may have implications for the role of the pathology laboratory in the ongoing pivot from quantity-based to value-based health care.

Common Data Servers as a Foundation for Specialized Services

NASA Astrophysics Data System (ADS)

Burger, E. F.; Schweitzer, R.; O'Brien, K.; Manke, A. B.; Smith, K. M.

2017-12-01

NOAA's Pacific Marine Environmental Laboratory (PMEL) hosts a broad range of research efforts that span many scientific and environmental research disciplines. Many of these research projects have their own data streams that are as diverse as the research. Data are collected using various platforms, including innovative new platforms such as Saildrones and autonomous profilers. With its requirements for public access to federally funded research results and data, the 2013 White House Office of Science and Technology memo on Public Access to Research Results (PARR) changed the data landscape for Federal agencies. In 2015, with support from the PMEL Director, the PMEL Science Data Integration Group (SDIG) initiated a multi-year effort to formulate and implement an integrated data-management strategy for PMEL research efforts. The PMEL integrated data management strategy will provide data access, visualization and some archive services to PMEL data and use existing and proven frameworks for this capability. In addition to these foundational data services, these data access and visualization frameworks are also leveraged to provide enhanced services to scientists. One enhanced service developed is a data management "dashboard". This application provides scientists with a snapshot of their data assets, access to these data, a map view of data locations, and information on the archival status. Ideally, information on the dashboard continually updates to accurately reflect the project's data asset status. This poster explains how frameworks such as ERDDAP and LAS were used as a foundation for the development of custom services, as well as an explanation of the PMEL data management dashboard functionality. We will also highlight accomplishments of the PMEL Integrated data management strategy implementation.

Metrics for measuring net-centric data strategy implementation

NASA Astrophysics Data System (ADS)

Kroculick, Joseph B.

2010-04-01

An enterprise data strategy outlines an organization's vision and objectives for improved collection and use of data. We propose generic metrics and quantifiable measures for each of the DoD Net-Centric Data Strategy (NCDS) data goals. Data strategy metrics can be adapted to the business processes of an enterprise and the needs of stakeholders in leveraging the organization's data assets to provide for more effective decision making. Generic metrics are applied to a specific application where logistics supply and transportation data is integrated across multiple functional groups. A dashboard presents a multidimensional view of the current progress to a state where logistics data shared in a timely and seamless manner among users, applications, and systems.

Hospital sees success by the dashboard light.

PubMed

McLaughlin, Kandace

2007-01-01

These days, interactive media is all the rage. It seems no business is complete without an online presence. Crouse Hospital has gone one step further, creating an interactive informational Web site that puts its employees in the driver's seat.

75 FR 1080 - Certain Automotive Multimedia Display and Navigation Systems, Components Thereof, and Products...

Federal Register 2010, 2011, 2012, 2013, 2014

2010-01-08

... its products accused of infringement include factory-installed GPS units in certain automobiles and certain after-market ``head-unit'' GPS devices that are mounted in automobile dashboards. On September 22... (202) [[Page 1081

FleetDASH

DOE Office of Scientific and Technical Information (OSTI.GOV)

Singer, Mark R

2017-09-06

FleetDASH helps federal fleet managers maximize their use of alternative fuel. This presentation explains how the dashboard works and demonstrates the newest capabilities added to the tool. It also reviews complementary online tools available to fleet managers on the Alternative Fuel Data Center.

An internet-based diabetes management platform improves team care and outcomes in an urban Latino population.

PubMed

Welch, Garry; Zagarins, Sofija E; Santiago-Kelly, Paula; Rodriguez, Zoraida; Bursell, Sven-Erik; Rosal, Milagros C; Gabbay, Robert A

2015-04-01

To compare usual diabetes care (UDC) to a comprehensive diabetes care intervention condition (IC) involving an Internet-based "diabetes dashboard" management tool used by clinicians. We used a parallel-group randomized design. Diabetes nurses, diabetes dietitians, and providers used the diabetes dashboard as a clinical decision support system to deliver a five-visit, 6-month intervention to 199 poorly controlled (HbA1c >7.5% [58 mmol/mol]) Latino type 2 diabetic (T2D) patients (mean age 55 years, 60% female) at urban community health centers. We compared this intervention to an established, in-house UDC program (n = 200) for its impact on blood glucose control and psychosocial outcomes. Recruitment and retention rates were 79.0 and 88.5%, respectively. Compared with UDC, more IC patients reached HbA1c targets of <7% (53 mmol/mol; 15.8 vs. 7.0%, respectively, P < 0.01) and <8% (64 mmol/mol; 45.2 vs. 25.3%, respectively, P < 0.001). In multiple linear regression adjusting for baseline HbA1c, adjusted mean ± SE HbA1c at follow-up was significantly lower in the IC compared with the UDC group (P < 0.001; IC 8.4 ± 0.10%; UDC 9.2 ± 0.10%). The results showed lower diabetes distress at follow-up for IC patients (40.4 ± 2.1) as compared with UDC patients (48.3 ± 2.0) (P < 0.01), and also lower social distress (32.2 ± 1.3 vs. 27.2 ± 1.4, P < 0.01). There was a similar, statistically significant (P < 0.01) improvement for both groups in the proportion of patients moving from depressed status at baseline to nondepressed at follow-up (41.8 vs. 40%; no significance between groups). The diabetes dashboard intervention significantly improved diabetes-related outcomes among Latinos with poorly controlled T2D compared with a similar diabetes team condition without access to the diabetes dashboard. © 2015 by the American Diabetes Association. Readers may use this article as long as the work is properly cited, the use is educational and not for profit, and the work is not altered.

An informatics-based approach to reducing heart failure all-cause readmissions: the Stanford heart failure dashboard.

PubMed

Banerjee, Dipanjan; Thompson, Christine; Kell, Charlene; Shetty, Rajesh; Vetteth, Yohan; Grossman, Helene; DiBiase, Aria; Fowler, Michael

2017-05-01

Reduction of 30-day all-cause readmissions for heart failure (HF) has become an important quality-of-care metric for health care systems. Many hospitals have implemented quality improvement programs designed to reduce 30-day all-cause readmissions for HF. Electronic medical record (EMR)-based measures have been employed to aid in these efforts, but their use has been largely adjunctive to, rather than integrated with, the overall effort. We hypothesized that a comprehensive EMR-based approach utilizing an HF dashboard in addition to an established HF readmission reduction program would further reduce 30-day all-cause index hospital readmission rates for HF. After establishing a quality improvement program to reduce 30-day HF readmission rates, we instituted EMR-based measures designed to improve cohort identification, intervention tracking, and readmission analysis, the latter 2 supported by an electronic HF dashboard. Our primary outcome measure was the 30-day index hospital readmission rate for HF, with secondary measures including the accuracy of identification of patients with HF and the percentage of patients receiving interventions designed to reduce all-cause readmissions for HF. The HF dashboard facilitated improved penetration of our interventions and reduced readmission rates by allowing the clinical team to easily identify cohorts with high readmission rates and/or low intervention rates. We significantly reduced 30-day index hospital all-cause HF readmission rates from 18.2% at baseline to 14% after implementation of our quality improvement program ( P  = .045). Implementation of our EMR-based approach further significantly reduced 30-day index hospital readmission rates for HF to 10.1% ( P for trend = .0001). Daily time to screen patients decreased from 1 hour to 15 minutes, accuracy of cohort identification improved from 83% to 94.6% ( P  = .0001), and the percentage of patients receiving our interventions, such as patient education, also improved significantly from 22% to 100% over time ( P  < .0001). In an institution with a quality improvement program already in place to reduce 30-day readmission rates for HF, an EMR-based approach further significantly reduced 30-day index hospital readmission rates. © The Author 2016. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For Permissions, please email: journals.permissions@oup.com

Operational modes, health, and status monitoring

NASA Astrophysics Data System (ADS)

Taljaard, Corrie

2016-08-01

System Engineers must fully understand the system, its support system and operational environment to optimise the design. Operations and Support Managers must also identify the correct metrics to measure the performance and to manage the operations and support organisation. Reliability Engineering and Support Analysis provide methods to design a Support System and to optimise the Availability of a complex system. Availability modelling and Failure Analysis during the design is intended to influence the design and to develop an optimum maintenance plan for a system. The remote site locations of the SKA Telescopes place emphasis on availability, failure identification and fault isolation. This paper discusses the use of Failure Analysis and a Support Database to design a Support and Maintenance plan for the SKA Telescopes. It also describes the use of modelling to develop an availability dashboard and performance metrics.

Use of Lean methodology to improve operating room efficiency in hospitals across the Kingdom of Saudi Arabia.

PubMed

Hassanain, Mazen; Zamakhshary, Mohammed; Farhat, Ghada; Al-Badr, Ahmed

2017-04-01

The objective of this study was to assess whether an intervention on process efficiency using the Lean methodology leads to improved utilization of the operating room (OR), as measured by key performance metrics of OR efficiency. A quasi-experimental design was used to test the impact of the intervention by comparing pre-intervention and post-intervention data on five key performance indicators. The ORs of 12 hospitals were selected across regions of the Kingdom of Saudi Arabia (KSA). The participants were patients treated at these hospitals during the study period. The intervention comprised the following: (i) creation of visual dashboards that enable starting the first case on time; (ii) use of computerized surgical list management; (iii) optimization of time allocation; (iv) development of an operating model with policies and procedures for the pre-anesthesia clinic; and (iv) creation of a governance structure with policies and procedures for day surgeries. The following were the main outcome measures: on-time start for the first case, room turnover times, percent of overrun cases, average weekly procedure volume and OR utilization. The hospital exhibited statistically significant improvements in the following performance metrics: on-time start for the first case, room turnover times and percent of overrun cases. A statistically significant difference in OR utilization or average weekly procedure volumes was not detected. The implementation of a Lean-based intervention targeting process efficiency applied in ORs across various KSA hospitals resulted in encouraging results on some metrics at some sites, suggesting that the approach has the potential to produce significant benefit in the future. Copyright © 2016 John Wiley & Sons, Ltd. Copyright © 2016 John Wiley & Sons, Ltd.

Ex Priori: Exposure-based Prioritization across Chemical Space

EPA Science Inventory

EPA's Exposure Prioritization (Ex Priori) is a simplified, quantitative visual dashboard that makes use of data from various inputs to provide rank-ordered internalized dose metric. This complements other high throughput screening by viewing exposures within all chemical space si...

Identifying known unknowns using the US EPA's CompTox Chemistry Dashboard

EPA Science Inventory

Chemical features observed using high-resolution mass spectrometry can be tentatively identified using online chemical reference databases by searching molecular formulae and monoisotopic masses and then rank-ordering of the hits using appropriate relevance criteria. The most li...

Taking an Antibiotic Time-out: Utilization and Usability of a Self-Stewardship Time-out Program for Renewal of Vancomycin and Piperacillin-Tazobactam.

PubMed

Graber, Christopher J; Jones, Makoto M; Glassman, Peter A; Weir, Charlene; Butler, Jorie; Nechodom, Kevin; Kay, Chad L; Furman, Amy E; Tran, Thuong T; Foltz, Christopher; Pollack, Lori A; Samore, Matthew H; Goetz, Matthew Bidwell

2015-11-01

Antibiotic time-outs can promote critical thinking and greater attention to reviewing indications for continuation. We pilot tested an antibiotic time-out program at a tertiary care teaching hospital where vancomycin and piperacillin-tazobactam continuation past day 3 had previously required infectious diseases service approval. The time-out program consisted of 3 components: (1) an electronic antimicrobial dashboard that aggregated infection-relevant clinical data; (2) a templated note in the electronic medical record that included a structured review of antibiotic indications and that provided automatic approval of continuation of therapy when indicated; and (3) an educational and social marketing campaign. In the first 6 months of program implementation, vancomycin was discontinued by day 5 in 93/145 (64%) courses where a time-out was performed on day 4 versus in 96/199 (48%) 1 year prior (P = .04). Seven vancomycin continuations via template (5% of time-outs) were guideline-discordant by retrospective chart review versus none 1 year prior (P = .002). Piperacillin-tazobactam was discontinued by day 5 in 70/105 (67%) courses versus 58/93 (62%) 1 year prior (P = .55); 9 continuations (9% of time-outs) were guideline-discordant versus two 1 year prior (P = .06). A usability survey completed by 32 physicians demonstrated modest satisfaction with the overall program, antimicrobial dashboard, and renewal templates. By providing practitioners with clinical informatics support and guidance, the intervention increased provider confidence in making decisions to de-escalate antimicrobial therapy in ambiguous circumstances wherein they previously sought authorization for continuation from an antimicrobial steward.

Validation of the Intensive Care Unit Early Warning Dashboard: Quality Improvement Utilizing a Retrospective Case-Control Evaluation.

PubMed

Kavanaugh, Michael J; So, Joanne D; Park, Peter J; Davis, Konrad L

2017-02-01

Risk stratification with the Modified Early Warning System (MEWS) or electronic cardiac arrest trigger (eCART) has been utilized with ward patients to preemptively identify high-risk patients who might benefit from enhanced monitoring, including early intensive care unit (ICU) transfer. In-hospital mortality from cardiac arrest is ∼80%, making preventative interventions an important focus area. ICUs have lower patient to nurse ratios than wards, resulting in less emphasis on the development of ICU early warning systems. Our institution developed an early warning dashboard (EWD) identifying patients who may benefit from earlier interventions. Using the adverse outcomes of cardiac arrest, ICU mortality, and ICU readmissions, a retrospective case-control study was performed using three demographic items (age, diabetes, and morbid obesity) and 24 EWD measured items, including vital signs, laboratory values, ventilator information, and other clinical information, to validate the EWD. Ten statistically significant areas were identified for cardiac arrest and 13 for ICU death. Identified items included heart rate, dialysis, leukocytosis, and lactate. The ICU readmission outcome was compared to controls from both ICU patients and ward patients, and statistical significance was identified for respiratory rate >30. With several statistically significant data elements, the EWD parameters have been incorporated into advanced clinical decision algorithms to identify at-risk ICU patients. Earlier identification and treatment of organ failure in the ICU improve outcomes and the EWD can serve as a safety measure for both at-risk in-house patients and also extend critical care expertise through telemedicine to smaller hospitals.

Use of Electronic Medical Record–Enhanced Checklist and Electronic Dashboard to Decrease CLABSIs

PubMed Central

Longhurst, Christopher A.; Wood, Matthew; Cornfield, David N.; Suermondt, Jaap; Sharek, Paul J.; Franzon, Deborah

2014-01-01

OBJECTIVES: We hypothesized that a checklist enhanced by the electronic medical record and a unit-wide dashboard would improve compliance with an evidence-based, pediatric-specific catheter care bundle and decrease central line–associated bloodstream infections (CLABSI). METHODS: We performed a cohort study with historical controls that included all patients with a central venous catheter in a 24-bed PICU in an academic children’s hospital. Postintervention CLABSI rates, compliance with bundle elements, and staff perceptions of communication were evaluated and compared with preintervention data. RESULTS: CLABSI rates decreased from 2.6 CLABSIs per 1000 line-days before intervention to 0.7 CLABSIs per 1000 line-days after intervention. Analysis of specific bundle elements demonstrated increased daily documentation of line necessity from 30% to 73% (P < .001), increased compliance with dressing changes from 87% to 90% (P = .003), increased compliance with cap changes from 87% to 93% (P < .001), increased compliance with port needle changes from 69% to 95% (P < .001), but decreased compliance with insertion bundle documentation from 67% to 62% (P = .001). Changes in the care plan were made during review of the electronic medical record checklist on 39% of patient rounds episodes. CONCLUSIONS: Use of an electronic medical record–enhanced CLABSI prevention checklist coupled with a unit-wide real-time display of adherence was associated with increased compliance with evidence-based catheter care and sustained decrease in CLABSI rates. These data underscore the potential for computerized interventions to promote compliance with proven best practices and prevent patient harm. PMID:24567021

State Comparative Maps Help | ECHO | US EPA

EPA Pesticide Factsheets

Comparative Maps in ECHO focus on environmental compliance and enforcement trends at a state and national level. Comparative maps provide a quick cross-country look at key environmental compliance and enforcement indicators. The maps link to dashboards that provide details by state/territory.

EnviroAtlas Cyanobacteria Assessment Network (CyAN) Dashboard: A Tool for Data Visualization and Exploratory Analysis

EPA Science Inventory

Economic, health, and environmental impacts of cyanobacteria and associated harmful algal blooms are increasingly recognized by policymakers, managers, and scientific researchers. However, spatially-distributed, long-term data on cyanobacteria blooms are largely unavailable. The ...

Enhancing UCSF Chimera through web services.

PubMed

Huang, Conrad C; Meng, Elaine C; Morris, John H; Pettersen, Eric F; Ferrin, Thomas E

2014-07-01

Integrating access to web services with desktop applications allows for an expanded set of application features, including performing computationally intensive tasks and convenient searches of databases. We describe how we have enhanced UCSF Chimera (http://www.rbvi.ucsf.edu/chimera/), a program for the interactive visualization and analysis of molecular structures and related data, through the addition of several web services (http://www.rbvi.ucsf.edu/chimera/docs/webservices.html). By streamlining access to web services, including the entire job submission, monitoring and retrieval process, Chimera makes it simpler for users to focus on their science projects rather than data manipulation. Chimera uses Opal, a toolkit for wrapping scientific applications as web services, to provide scalable and transparent access to several popular software packages. We illustrate Chimera's use of web services with an example workflow that interleaves use of these services with interactive manipulation of molecular sequences and structures, and we provide an example Python program to demonstrate how easily Opal-based web services can be accessed from within an application. Web server availability: http://webservices.rbvi.ucsf.edu/opal2/dashboard?command=serviceList. © The Author(s) 2014. Published by Oxford University Press on behalf of Nucleic Acids Research.

In itinere strategic environmental assessment of an integrated provincial waste system.

PubMed

Federico, Giovanna; Rizzo, Gianfranco; Traverso, Marzia

2009-06-01

In the paper, the practical problem of analysing in an integrated way the performance of provincial waste systems is approached, in the framework of the Strategic Environmental Assessment (SEA). In particular, the in itinere phase of SEA is analysed herein. After separating out a proper group of ambits, to which the waste system is supposed to determine relevant impacts, pertinent sets of single indicators are proposed. Through the adoption of such indicators the time trend of the system is investigated, and the suitability of each indicator is critically revised. The structure of the evaluation scheme, which is essentially based on the use of ambit issues and analytical indicators, calls for the application of the method of the Dashboard of Sustainability for the integrated evaluation of the whole system. The suitability of this method is shown through the paper, together with the possibility of a comparative analysis of different scenarios of interventions. Of course, the reliability of the proposed method strongly relies on the availability of a detailed set of territorial data. The method appears to represent a useful tool for public administration in the process of optimizing the policy actions aimed at minimizing the increasing problem represented by waste production in urban areas.

The impact of home care nurses' numeracy and graph literacy on comprehension of visual display information: implications for dashboard design.

PubMed

Dowding, Dawn; Merrill, Jacqueline A; Onorato, Nicole; Barrón, Yolanda; Rosati, Robert J; Russell, David

2018-02-01

To explore home care nurses' numeracy and graph literacy and their relationship to comprehension of visualized data. A multifactorial experimental design using online survey software. Nurses were recruited from 2 Medicare-certified home health agencies. Numeracy and graph literacy were measured using validated scales. Nurses were randomized to 1 of 4 experimental conditions. Each condition displayed data for 1 of 4 quality indicators, in 1 of 4 different visualized formats (bar graph, line graph, spider graph, table). A mixed linear model measured the impact of numeracy, graph literacy, and display format on data understanding. In all, 195 nurses took part in the study. They were slightly more numerate and graph literate than the general population. Overall, nurses understood information presented in bar graphs most easily (88% correct), followed by tables (81% correct), line graphs (77% correct), and spider graphs (41% correct). Individuals with low numeracy and low graph literacy had poorer comprehension of information displayed across all formats. High graph literacy appeared to enhance comprehension of data regardless of numeracy capabilities. Clinical dashboards are increasingly used to provide information to clinicians in visualized format, under the assumption that visual display reduces cognitive workload. Results of this study suggest that nurses' comprehension of visualized information is influenced by their numeracy, graph literacy, and the display format of the data. Individual differences in numeracy and graph literacy skills need to be taken into account when designing dashboard technology. © The Author 2017. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For Permissions, please email: journals.permissions@oup.com

Business intelligence for the radiologist: making your data work for you.

PubMed

Cook, Tessa S; Nagy, Paul

2014-12-01

Although it remains absent from most programs today, business intelligence (BI) has become an integral part of modern radiology practice management. BI facilitates the transition away from lack of understanding about a system and the data it produces toward incrementally more sophisticated comprehension of what has happened, could happen, and should happen. The individual components that make up BI are common across industries and include data extraction and transformation, process analysis and improvement, outcomes measures, performance assessment, graphical dashboarding, alerting, workflow analysis, and scenario modeling. As in other fields, these components can be directly applied in radiology to improve workflow, throughput, safety, efficacy, outcomes, and patient satisfaction. When approaching the subject of BI in radiology, it is important to know what data are available in your various electronic medical records, as well as where and how they are stored. In addition, it is critical to verify that the data actually represent what you think they do. Finally, it is critical for success to identify the features and limitations of the BI tools you choose to use and to plan your practice modifications on the basis of collected data. It is equally important to remember that BI plays a critical role in continuous process improvement; whichever BI tools you choose should be flexible to grow and evolve with your practice. Published by Elsevier Inc.

The CompTox Chemistry Dashboard - A Community Data Resource for Environmental Chemistry

EPA Science Inventory

Despite an abundance of online databases providing access to chemical data, there is increasing demand for high-quality, structure-curated, open data to meet the various needs of the environmental sciences and computational toxicology communities. The U.S. Environmental Protectio...

Being Pregnant at Work

MedlinePlus

... It's been added to your dashboard . Lots of women work during pregnancy, some right up until their due date . Here are some ... people at work that you’re pregnant. Some women wait until after their first ... and tell everyone right away. Whatever you choose, here are some things ...

Trends and New Directions in Software Architecture

DTIC Science & Technology

2014-10-10

frameworks  Open source  Cloud strategies  NoSQL  Machine Learning  MDD  Incremental approaches  Dashboards  Distributed development...complexity grows  NoSQL Models are not created equal 2014 Our Current Research  Lightweight Evaluation and Architecture Prototyping for Big Data

International Suspect Screening: NORMAN Suspect Exchange meets the US EPA CompTox Chemistry Dashboard (ICCE 2017 Oslo)

EPA Science Inventory

Members of the European NORMAN Network of Environmental Laboratories (www.norman-network.com) have many substance lists, including targets, suspects, surfactants, perfluorinated substances and regulated, partially confidential data sets of complex mixtures. The NORMAN Suspect Lis...

The EPA CompTox Chemistry Dashboard - an online resource for environmental chemists (ACS Spring Meeting)

EPA Science Inventory

The U.S. Environmental Protection Agency (EPA) Computational Toxicology Program integrates advances in biology, chemistry, and computer science to help prioritize chemicals for further research based on potential human health risks. This work involves computational and data drive...

The EPA Comptox Chemistry Dashboard: A Web-Based Data Integration Hub for Toxicology Data (SOT)

EPA Science Inventory

The U.S. Environmental Protection Agency (EPA) Computational Toxicology Program integrates advances in biology, chemistry, and computer science to help prioritize chemicals for further research based on potential human health risks. This work involves computational and data drive...

Learning Dashboards

ERIC Educational Resources Information Center

Charleer, Sven; Klerkx, Joris; Duval, Erik

2014-01-01

This article explores how information visualization techniques can be applied to learning analytics data to help teachers and students deal with the abundance of learner traces. We also investigate how the affordances of large interactive surfaces can facilitate a collaborative sense-making environment for multiple students and teachers to explore…

The evolution of monitoring system: the INFN-CNAF case study

NASA Astrophysics Data System (ADS)

Bovina, Stefano; Michelotto, Diego

2017-10-01

Over the past two years, the operations at CNAF, the ICT center of the Italian Institute for Nuclear Physics, have undergone significant changes. The adoption of configuration management tools, such as Puppet, and the constant increase of dynamic and cloud infrastructures have led us to investigate a new monitoring approach. The present work deals with the centralization of the monitoring service at CNAF through a scalable and highly configurable monitoring infrastructure. The selection of tools has been made taking into account the following requirements given by users: (I) adaptability to dynamic infrastructures, (II) ease of configuration and maintenance, capability to provide more flexibility, (III) compatibility with existing monitoring system, (IV) re-usability and ease of access to information and data. In the paper, the CNAF monitoring infrastructure and its related components are hereafter described: Sensu as monitoring router, InfluxDB as time series database to store data gathered from sensors, Uchiwa as monitoring dashboard and Grafana as a tool to create dashboards and to visualize time series metrics.

The Contribution of GIS to Display and Analyze the Water Quality Data Collected by a Wireless Sensor Network: Case of Bouregreg Catchment, Morocco

NASA Astrophysics Data System (ADS)

Boubakri, S.; Rhinane, H.

2017-11-01

The monitoring of water quality is, in most cases, managed in the laboratory and not on real time bases. Besides this process being lengthy, it doesn't provide the required specifications to describe the evolution of the quality parameters that are of interest. This study presents the integration of Geographic Information Systems (GIS) with wireless sensor networks (WSN) aiming to create a system able to detect the parameters like temperature, salinity and conductivity in a Moroccan catchment scale and transmit information to the support station. This Information is displayed and evaluated in a GIS using maps and spatial dashboard to monitor the water quality in real time.

It's Just (Academic) Business: A Use Case in Improving Informatics Operations with Business Intelligence.

PubMed

McIntosh, Leslie D; Zabarovskaya, Connie; Uhlmansiek, Mary

2015-01-01

Academic biomedical informatics cores are beholden to funding agencies, institutional administration, collaborating researchers, and external agencies for ongoing funding and support. Services provided and translational research outcomes are increasingly important to monitor, report and analyze, to demonstrate value provided to the organization and the greater scientific community. Thus, informatics operations are also business operations. As such, adopting business intelligence practices offers an opportunity to improve the efficiency of evaluation efforts while fulfilling reporting requirements. Organizing informatics development documentation, service requests, and work performed with adaptable tools have greatly facilitated these and related business activities within our informatics center. Through the identification and measurement of key performance indicators, informatics objectives and results are now quickly and nimbly assessed using dashboards. Acceptance of the informatics operation as a business venture and the adoption of business intelligence strategies has allowed for data-driven decision making, faster corrective action, and greater transparency for interested stakeholders.

A review and evaluation of numerical tools for fractional calculus and fractional order controls

NASA Astrophysics Data System (ADS)

Li, Zhuo; Liu, Lu; Dehghan, Sina; Chen, YangQuan; Xue, Dingyü

2017-06-01

In recent years, as fractional calculus becomes more and more broadly used in research across different academic disciplines, there are increasing demands for the numerical tools for the computation of fractional integration/differentiation, and the simulation of fractional order systems. Time to time, being asked about which tool is suitable for a specific application, the authors decide to carry out this survey to present recapitulative information of the available tools in the literature, in hope of benefiting researchers with different academic backgrounds. With this motivation, the present article collects the scattered tools into a dashboard view, briefly introduces their usage and algorithms, evaluates the accuracy, compares the performance, and provides informative comments for selection.

An EPA Modeling Dashboard for Ecological Assessment of Pesticides

EPA Science Inventory

The EPA registers pesticides for use in the US and approves imported pesticides under the Federal Insecticide, Fungicide, and Rodenticide Act (FIFRA). Before a pesticide can be registered, the EPA must assess whether the pesticide can be used without eing harmful to humans or pos...

Alex Swindler | NREL

Science.gov Websites

distributed computing, Web information systems engineering, software engineering, computer graphics, and Dashboard, NREL Energy Story visualization, Green Button data integration, as well as a large number of Web of an R&D 100 Award. Prior to joining NREL, Alex worked as a system administrator, Web developer

The Command Operations Dashboard: A Common Operating Picture of the Operators

DTIC Science & Technology

2014-06-01

applications in order to collect data: it utilizes Apache Camel as a light-weight enterprise system bus for routing communications through...Mesmer-Magnus & DeChurch, 2009) to focus their limited resources on those teams needing more support. In terms of productivity , new information

Structure identification by Mass Spectrometry Non-Targeted Analysis using the US EPA’s CompTox Chemistry Dashboard

EPA Science Inventory

Identification of unknowns in mass spectrometry based non-targeted analyses (NTA) requires the integration of complementary pieces of data to arrive at a confident, consensus structure. Researchers use chemical reference databases, spectral matching, fragment prediction tools, r...

Dashboard for Analyzing Ubiquitous Learning Log

ERIC Educational Resources Information Center

Lkhagvasuren, Erdenesaikhan; Matsuura, Kenji; Mouri, Kousuke; Ogata, Hiroaki

2016-01-01

Mobile and ubiquitous technologies have been applied to a wide range of learning fields such as science, social science, history and language learning. Many researchers have been investigating the development of ubiquitous learning environments; nevertheless, to date, there have not been enough research works related to the reflection, analysis…

Formative Assessment: Design of a Web-Connected Sedentary Behavior Intervention for Females

PubMed Central

2017-01-01

Background Sedentary behavior (SB) is a significant risk factor for heart disease, diabetes, obesity, and early mortality, particularly among women, and the health consequences associated with SB are independent of physical activity status. Interventions utilizing wearable technologies can improve SB, but their effectiveness is influenced by individual preferences, device engagement strategies, and technological features, which may affect user compliance. Gathering a priori insight from target populations on their preferences for program tools and strategies may assist researchers in identifying effective methods to improve the efficacy of SB interventions. Objective The objective of this study was to (1) explore the likeability (likes and dislikes) and usability (engagement intentions and navigation) of a wearable device (Movband) and its accompanying website (dashboard), (2) examine social incentive preferences (teammates), and (3) assess the feasibility (participants’ experiences during an activity-monitoring period) of these tools for use in an intervention to reduce SB in girls and women. Methods A total of 9 girls (mean age: 8.9 years, standard deviation [SD] 1.1 years) and 11 college-aged women (mean age: 22.6 years, SD 3.2 years) participated in this study. Separate focus groups were held for girls and women, and all participants attended one before and the other following a 7-day activity-monitoring period. During the focus groups, participants were prompted with questions to address the study aims, and the nominal group technique was used to compile lists of group-specific preferences for the activity-monitoring system. The top three ranking likes and dislikes were reverse coded to determine likeability. Results The top-ranking responses for the girls and women were the following: visual display of movements and ease of navigation (dashboard like), boring to look at and no calorie-tracking function (dashboard dislike), backlight and long battery life (Movband like), and color and not waterproof (tied for girls) and vertical time display (Movband dislike). Additionally, participants identified several aesthetic preferences and functional limitations. At the second focus group visit, the majority of the participants self-reported less SB during the previous week. Objective data from the activity-monitoring period revealed that the average steps per day for girls and women were 12,373.4 (SD 2617.6) and 8515.8 (SD 3076.7), respectively. Conclusions These results suggest that the girls and women liked many features of the Movband and dashboard. However, several dislikes were mentioned, which may negatively influence compliance and the effectiveness of the activity-monitoring system and require improvements before using in an SB intervention. PMID:29054836

Measuring and Reporting Leadership and Core Competency Domains

DTIC Science & Technology

2015-09-04

Command Profile CECOM Army Communications-Electronics Command CRRD Commander’s Risk Reduction Dashboard DAPMIS Department of the Army Photo Management ...culture, regional/technical, and leadership/influence.   Examining the numerous military personnel information management systems across DoD, IDA found...7 3. Military Personnel Information Management .............................................................9 A

20180318 - Structure identification by Mass Spectrometry Non-Targeted Analysis using the US EPA’s CompTox Chemistry Dashboard (ACS Spring)

EPA Science Inventory

Identification of unknowns in mass spectrometry based non-targeted analyses (NTA) requires the integration of complementary pieces of data to arrive at a confident, consensus structure. Researchers use chemical reference databases, spectral matching, fragment prediction tools, r...

77 FR 56238 - Finance, Budget & Program. Committee Meeting of the Board of Directors; Sunshine Act

Federal Register 2010, 2011, 2012, 2013, 2014

2012-09-12

... NEIGHBORHOOD REINVESTMENT CORPORATION Finance, Budget & Program. Committee Meeting of the Board of..., Assistant Corporate Secretary, (202) 220-2376; [email protected] . AGENDA: I. Call to Order II. Executive Session... Associated Budget VI. FY 12 Corporate Milestone Report and Dashboard VII. National Foreclosure Mitigation...

77 FR 24538 - Sunshine Act Meeting Notice; Finance, Budget & Program; Committee Meeting of the Board of Directors

Federal Register 2010, 2011, 2012, 2013, 2014

2012-04-24

... NEIGHBORHOOD REINVESTMENT CORPORATION Sunshine Act Meeting Notice; Finance, Budget & Program...: Erica Hall, Assistant Corporate Secretary, (202) 220-2376; [email protected] . AGENDA: I. Call to Order II.../Dashboard VII. NFMC & EHLP VIII. Program Updates IX. Adjournment Erica Hall, Assistant Corporate Secretary...

78 FR 24438 - Board of Directors Finance, Budget & Program Committee: Sunshine Act Meeting

Federal Register 2010, 2011, 2012, 2013, 2014

2013-04-25

... NEIGHBORHOOD REINVESTMENT CORPORATION Board of Directors Finance, Budget & Program Committee... Corporate Secretary (202) 220-2376; [email protected] . AGENDA: I. CALL TO ORDER II. FY 2013 Budget Update III... Corporate Milestone Report and Dashboard IX. NFMC, EHLP & MHA X. NeighborhoodLIFT & CityLIFT XI. Recent...

Environmental Chemistry Compound Identification Using High Resolution Mass Spectrometry Data Integrated to the EPA Chemistry Dashboard (EAS)

EPA Science Inventory

There is a growing need for rapid chemical screening and prioritization to inform regulatory decision-making on thousands of chemicals in the environment. We have previously used high-resolution mass spectrometry to examine household vacuum dust samples using liquid chromatograph...

Comptox Chemistry Dashboard: Web-Based Data Integration Hub for Environmental Chemistry and Toxicology Data (ACS Fall meeting 4 of 12)

EPA Science Inventory

The U.S. Environmental Protection Agency (EPA) Computational Toxicology Program integrate advances in biology, chemistry, exposure and computer science to help prioritize chemicals for further research based on potential human health risks. This work involves computational and da...

Treating technology as a luxury? 10 necessary tools.

PubMed

Berger, Steven H

2007-02-01

Technology and techniques that every hospital should acquire and use for effective financial management include: Daily dashboards. Balanced scorecards. Benchmarking. Flexible budgeting and monitoring. Labor management systems. Nonlabor management analysis. Service, line, physician, and patient-level reporting and analysis. Cost accounting technology. Contract management technology. Denials management software.

DSSTox: The Open Environmental Chemistry Data underlying the CompTox Chemical Dashboard (OpenTox USA)

EPA Science Inventory

The DSSTox project has long been dedicated to the idea of making chemical information linked to environmental or toxicological data of interest freely available. Since its first posting of data files in 2004, DSSTox database development has consistently focused on enabling data ...

Stakeholder engagement and feedback efforts to increase use of the iCSS ToxCast Dashboard (SETAC)

EPA Science Inventory

In the era of ‘Big Data’ research, many government agencies are engaged in generating and making public large amounts of data that underly both research and regulatory decisions. Public access increases the ‘democratization’ of science by enhancing transparency and access. Howev...

Big Data: You Are Adding to . . . and Using It

ERIC Educational Resources Information Center

Makela, Carole J.

2016-01-01

"Big data" prompts a whole lexicon of terms--data flow; analytics; data mining; data science; smart you name it (cars, houses, cities, wearables, etc.); algorithms; learning analytics; predictive analytics; data aggregation; data dashboards; digital tracks; and big data brokers. New terms are being coined frequently. Are we paying…

A framework for an alternatives assessment dashboard for evaluating chemical alternatives applied to flame retardants for electronic applications

EPA Science Inventory

The goal of alternatives assessment (AA) is to facilitate a comparison of alternatives to a chemical of concern, resulting in the identification of safer alternatives. A two-stage methodology for comparing chemical alternatives was developed. In the first stage, alternatives are ...

CTD² Dashboard: a searchable web interface to connect validated results from the Cancer Target Discovery and Development Network* | Office of Cancer Genomics

Cancer.gov

The Cancer Target Discovery and Development (CTD2) Network aims to use functional genomics to accelerate the translation of high-throughput and high-content genomic and small-molecule data towards use in precision oncology.

Data Dashboards: Accounting for What Matters

ERIC Educational Resources Information Center

Rothman, Robert

2015-01-01

In 2002, the Monroe County, Georgia, school system was, according to its then-superintendent Scott Cowart, "underperforming." Test scores were low, and several schools faced interventions under the new No Child Left Behind Act (NCLB). One decade later, the 4,000-student school district in central Georgia is one of the highest-performing…

What's Your Data Integration Strategy?

ERIC Educational Resources Information Center

Dessoff, Alan

2011-01-01

As districts collect increasing amounts of information on their students, from assessment scores to attendance records, many are finding new and better ways to use the information to catapult student achievement. They are implementing solutions such as data warehouses and data dashboards, electronic tools for storing, viewing and analyzing data,…

Software Prototyping: A Case Report of Refining User Requirements for a Health Information Exchange Dashboard.

PubMed

Nelson, Scott D; Del Fiol, Guilherme; Hanseler, Haley; Crouch, Barbara Insley; Cummins, Mollie R

2016-01-01

Health information exchange (HIE) between Poison Control Centers (PCCs) and Emergency Departments (EDs) could improve care of poisoned patients. However, PCC information systems are not designed to facilitate HIE with EDs; therefore, we are developing specialized software to support HIE within the normal workflow of the PCC using user-centered design and rapid prototyping. To describe the design of an HIE dashboard and the refinement of user requirements through rapid prototyping. Using previously elicited user requirements, we designed low-fidelity sketches of designs on paper with iterative refinement. Next, we designed an interactive high-fidelity prototype and conducted scenario-based usability tests with end users. Users were asked to think aloud while accomplishing tasks related to a case vignette. After testing, the users provided feedback and evaluated the prototype using the System Usability Scale (SUS). Survey results from three users provided useful feedback that was then incorporated into the design. After achieving a stable design, we used the prototype itself as the specification for development of the actual software. Benefits of prototyping included having 1) subject-matter experts heavily involved with the design; 2) flexibility to make rapid changes, 3) the ability to minimize software development efforts early in the design stage; 4) rapid finalization of requirements; 5) early visualization of designs; 6) and a powerful vehicle for communication of the design to the programmers. Challenges included 1) time and effort to develop the prototypes and case scenarios; 2) no simulation of system performance; 3) not having all proposed functionality available in the final product; and 4) missing needed data elements in the PCC information system.

Management strategies to effect change in intensive care units: lessons from the world of business. Part II. Quality-improvement strategies.

PubMed

Gershengorn, Hayley B; Kocher, Robert; Factor, Phillip

2014-03-01

The success of quality-improvement projects relies heavily on both project design and the metrics chosen to assess change. In Part II of this three-part American Thoracic Society Seminars series, we begin by describing methods for determining which data to collect, tools for data presentation, and strategies for data dissemination. As Avedis Donabedian detailed a half century ago, defining metrics in healthcare can be challenging; algorithmic determination of the best type of metric (outcome, process, or structure) can help intensive care unit (ICU) managers begin this process. Choosing appropriate graphical data displays (e.g., run charts) can prompt discussions about and promote quality improvement. Similarly, dashboards/scorecards are useful in presenting performance improvement data either publicly or privately in a visually appealing manner. To have compelling data to show, ICU managers must plan quality-improvement projects well. The second portion of this review details four quality-improvement tools-checklists, Six Sigma methodology, lean thinking, and Kaizen. Checklists have become commonplace in many ICUs to improve care quality; thinking about how to maximize their effectiveness is now of prime importance. Six Sigma methodology, lean thinking, and Kaizen are techniques that use multidisciplinary teams to organize thinking about process improvement, formalize change strategies, actualize initiatives, and measure progress. None originated within healthcare, but each has been used in the hospital environment with success. To conclude this part of the series, we demonstrate how to use these tools through an example of improving the timely administration of antibiotics to patients with sepsis.

Ground vehicle control at NIST: From teleoperation to autonomy

NASA Technical Reports Server (NTRS)

Murphy, Karl N.; Juberts, Maris; Legowik, Steven A.; Nashman, Marilyn; Schneiderman, Henry; Scott, Harry A.; Szabo, Sandor

1994-01-01

NIST is applying their Real-time Control System (RCS) methodology for control of ground vehicles for both the U.S. Army Researh Lab, as part of the DOD's Unmanned Ground Vehicles program, and for the Department of Transportation's Intelligent Vehicle/Highway Systems (IVHS) program. The actuated vehicle, a military HMMWV, has motors for steering, brake, throttle, etc. and sensors for the dashboard gauges. For military operations, the vehicle has two modes of operation: a teleoperation mode--where an operator remotely controls the vehicle over an RF communications network; and a semi-autonomous mode called retro-traverse--where the control system uses an inertial navigation system to steer the vehicle along a prerecorded path. For the IVHS work, intelligent vision processing elements replace the human teleoperator to achieve autonomous, visually guided road following.

Revisiting Sensemaking: The Case of the Digital Decision Network Application (Digital"DNA")

ERIC Educational Resources Information Center

Archer, Elizabeth; Barnes, Glen

2017-01-01

During this age of data proliferation, heavy reliance is placed on data visualisation to support users in making sense of vast quantities of information. Informational Dashboards have become the must have accoutrement for Higher Education institutions with various stakeholders jostling for development priority. Due to the time pressure and user…

Development of an Analysis Tool for Evaluation of Marginal Impacts of Freeway Incidents in the Las Vegas Area Using FAST’s Dashboard Freeway Data.

DOT National Transportation Integrated Search

2014-01-21

Incidents are a major source of non-recurring congestion on freeways. In addition to costing millions of dollars in the loss of life, injuries and property damage, traffic incidents also cause additional losses due to the resulting traffic congestion...

Understanding How Principals Use Data Dashboards to Inform Systemic School Improvement

ERIC Educational Resources Information Center

Marker, Kathryn Christner

2016-01-01

Because data access may be perceived by principals as overwhelming or irrelevant rather than helpful (Wayman, Spikes, & Volonnino, 2013), data access does not guarantee effective data use. The data-based decision making literature has largely focused on teacher use of data, considering less often data-based organizational improvements for the…

Let the Dogs Out: Using Bobble Head Toys to Explore Force and Motion.

ERIC Educational Resources Information Center

Foster, Andrea S.

2003-01-01

Introduces an activity in which students learn principles of force and motion, systems, and simple machines by exploring the best position of the dogs on the dashboard. Includes a sample lesson plan written in the five instructional models: (1) engagement; (2) exploration; (3) explanation; (4) elaboration; and (5) evaluation. (KHR)

40 CFR 86.1807-07 - Vehicle labeling.

Code of Federal Regulations, 2010 CFR

2010-07-01

... engines and other diesel vehicles certified using a test fuel with 15 ppm sulfur or less, must include permanent readily visible labels on the dashboard (or instrument panel) and near all fuel inlets that state “Use Ultra Low Sulfur Diesel Fuel Only” or “Ultra Low Sulfur Diesel Fuel Only”. [66 FR 5189, Jan. 18...

40 CFR 86.1807-07 - Vehicle labeling.

Code of Federal Regulations, 2011 CFR

2011-07-01

... engines and other diesel vehicles certified using a test fuel with 15 ppm sulfur or less, must include permanent readily visible labels on the dashboard (or instrument panel) and near all fuel inlets that state “Use Ultra Low Sulfur Diesel Fuel Only” or “Ultra Low Sulfur Diesel Fuel Only”. [66 FR 5189, Jan. 18...

77 FR 74861 - Agency Information Collection Activities: Interagency Record of Request A, G, or NATO Dependent...

Federal Register 2010, 2011, 2012, 2013, 2014

2012-12-18

.../Dashboard.do , or call the USCIS National Customer Service Center at 1-800-375-5283. Written comments and... DEPARTMENT OF HOMELAND SECURITY U.S. Citizenship and Immigration Services [OMB Control Number 1615... Security (DHS), U.S. Citizenship and Immigration Services (USCIS) invites the general public and other...

78 FR 8193 - Sunshine Act Meeting; Finance, Budget & Program Committee Meeting of the Board of Directors

Federal Register 2010, 2011, 2012, 2013, 2014

2013-02-05

... NEIGHBORHOOD REINVESTMENT CORPORATION Sunshine Act Meeting; Finance, Budget & Program Committee...: Erica Hall, Assistant Corporate Secretary, (202) 220-2376; [email protected] . AGENDA: I. Call To Order II.../Treasury Initiative VI. Lease and Move VII. FY 13 Corporate Milestone Report and Dashboard VIII. NFMC and...

Review of Research on Student-Facing Learning Analytics Dashboards and Educational Recommender Systems

ERIC Educational Resources Information Center

Bodily, Robert; Verbert, Katrien

2017-01-01

This article is a comprehensive literature review of student-facing learning analytics reporting systems that track learning analytics data and report it directly to students. This literature review builds on four previously conducted literature reviews in similar domains. Out of the 945 articles retrieved from databases and journals, 93 articles…

The EPA iCSS Chemistry Dashboard to Support Compound Identification Using High Resolution Mass Spectrometry Data (ACS Fall meeting)

EPA Science Inventory

Abstract: There is a growing need for rapid chemical screening and prioritization to inform regulatory decision-making on thousands of chemicals in the environment. We have previously used high-resolution mass spectrometry to examine household vacuum dust samples using liquid chr...

Identifying "known unknowns": A comparison between ChemSpider and the US EPA's CompTox Dashboard (ACS Spring National meeting) 1 of 7

EPA Science Inventory

Non-targeted analysis (NTA) workflows in high-resolution mass spectrometry require mechanisms for compound identification. One strategy for tentative identification is the use of online chemical databases such as ChemSpider. Databases like this use molecular formulae and monois...

Structure identification for Non-Targeted Analytical Chemistry using the US EPA’s CompTox Chemistry Dashboard (ACS 2017 Fall meeting 3 of 3)

EPA Science Inventory

Identification of unknowns in non-targeted analyses (NTA) requires the integration of complementary data types to generate a confident consensus structure. Researchers use a variety of data and tools (e.g., chemical reference databases, spectral matching, fragment prediction too...

78 FR 63236 - Agency Information Collection Activities: Application To Replace Permanent Resident Card, Form...

Federal Register 2010, 2011, 2012, 2013, 2014

2013-10-23

... following information collection request to the Office of Management and Budget (OMB) for review and... online screenshots for viewing and comment in e-Docket ID number USCIS-USCIS- 2009-0002. DATES: The... check ``My Case Status'' online at: https://egov.uscis.gov/cris/dashboard.do , or call the USCIS...

Prediction of toxicity and comparison of alternatives using WebTEST (Web-services Toxicity Estimation Software Tool)

EPA Science Inventory

A Java-based web service is being developed within the US EPA’s Chemistry Dashboard to provide real time estimates of toxicity values and physical properties. WebTEST can generate toxicity predictions directly from a simple URL which includes the endpoint, QSAR method, and ...

Prediction of toxicity and comparison of alternatives using WebTEST (Web-services Toxicity Estimation Software Tool)(Bled Slovenia)

EPA Science Inventory

A Java-based web service is being developed within the US EPA’s Chemistry Dashboard to provide real time estimates of toxicity values and physical properties. WebTEST can generate toxicity predictions directly from a simple URL which includes the endpoint, QSAR method, and ...

Characterizing and Managing Intrusion Detection System (IDS) Alerts with Multi-Server/Multi-Priority Queuing Theory

DTIC Science & Technology

2014-12-26

administrators dashboard , so that they can be effectively triaged, analyzed, and used to implement defensive actions to keep the network safe and...For the bank teller, some customers will require straight forward services (a quick deposit or cashing a check) while others will have questions or

Facilitating Student Success in Introductory Chemistry with Feedback in an Online Platform

ERIC Educational Resources Information Center

Van Horne, Sam; Curran, Maura; Smith, Anna; VanBuren, John; Zahrieh, David; Larsen, Russell; Miller, Ross

2018-01-01

Instructional technologists and faculty in post-secondary institutions have increasingly adopted learning analytics interventions such as dashboards that provide real-time feedback to students to support student' ability to regulate their learning. But analyses of the effectiveness of such interventions can be confounded by measures of students'…

Garbage in, Garbage Stays: How ERPs Could Improve Our Data-Quality Issues

ERIC Educational Resources Information Center

Riccardi, Richard I.

2009-01-01

As universities begin to implement business intelligence tools such as end-user reporting, data warehousing, and dashboard indicators, data quality becomes an even greater and more public issue. With automated tools taking nightly snapshots of the database, the faulty data grow exponentially, propagating as another layer of the data warehouse.…

Supporting Clinical Cognition: A Human-Centered Approach to a Novel ICU Information Visualization Dashboard.

PubMed

Faiola, Anthony; Srinivas, Preethi; Duke, Jon

2015-01-01

Advances in intensive care unit bedside displays/interfaces and electronic medical record (EMR) technology have not adequately addressed the topic of visual clarity of patient data/information to further reduce cognitive load during clinical decision-making. We responded to these challenges with a human-centered approach to designing and testing a decision-support tool: MIVA 2.0 (Medical Information Visualization Assistant, v.2). Envisioned as an EMR visualization dashboard to support rapid analysis of real-time clinical data-trends, our primary goal originated from a clinical requirement to reduce cognitive overload. In the study, a convenience sample of 12 participants were recruited, in which quantitative and qualitative measures were used to compare MIVA 2.0 with ICU paper medical-charts, using time-on-task, post-test questionnaires, and interviews. Findings demonstrated a significant difference in speed and accuracy with the use of MIVA 2.0. Qualitative outcomes concurred, with participants acknowledging the potential impact of MIVA 2.0 for reducing cognitive load and enabling more accurate and quicker decision-making.

Communications dashboard (control rooms, take a cue from Facebook® !) Chapter 1

NASA Astrophysics Data System (ADS)

Scott, David W.

Papers published via IEEE and AIAA conferences have presented an overview of how social media could benefit NASA working environments in general [1] and proposed three specific social applications to benefit space flight control operations [2]. One of them, Communications Dashboard, would help a real time flight controller keep up with both the “ big picture” and significant details of operations via a cohesive interface similar to those of social networking services (SNS). Instead of recreational social features, “ CommDash” would support functions like console logging, categorized and threaded text chat streams with enhanced accountability and graphics display features, high-level status displays driven by telemetry or other events, and an on-screen hailing function for requesting voice or text stream conversation. Moving certain voice conversations to text streams would reduce confusion and stress in two ways. Within text conversations, there would be far less repetition of content since text conversations have visual persistence and are reviewable instantly, e.g., there's no need to brief new participants to a discussion - they just read what's already there. Remaining voice traffic would stand out more clearly, and quieter voice loops means fewer “ say again” calls and less distraction from visual and mental tasks, thus less stress. (Most flight controllers monitor 4 or 5 voice loops at once.) Links could be created from console log entries to chat selections so that underlying details are readily available yet unobtrusive. This would reduce the confusion that rises from having multiple and sometimes divergent copies of the same information due to cut/copy and paste operations, attachments, and asynchronous editing. This concept could apply to a plethora of real time control environments and to other settings with lots of information juggling. This paper explores the dashboard concept in further detail and chronic- es the first phase of a NASA IT Labs (Information Technology) project that could lead to a working system.

Increasing compliance with low tidal volume ventilation in the ICU with two nudge-based interventions: evaluation through intervention time-series analyses

PubMed Central

Bourdeaux, Christopher P; Thomas, Matthew JC; Gould, Timothy H; Malhotra, Gaurav; Jarvstad, Andreas; Jones, Timothy; Gilchrist, Iain D

2016-01-01

Objectives Low tidal volume (TVe) ventilation improves outcomes for ventilated patients, and the majority of clinicians state they implement it. Unfortunately, most patients never receive low TVes. ‘Nudges’ influence decision-making with subtle cognitive mechanisms and are effective in many contexts. There have been few studies examining their impact on clinical decision-making. We investigated the impact of 2 interventions designed using principles from behavioural science on the deployment of low TVe ventilation in the intensive care unit (ICU). Setting University Hospitals Bristol, a tertiary, mixed medical and surgical ICU with 20 beds, admitting over 1300 patients per year. Participants Data were collected from 2144 consecutive patients receiving controlled mechanical ventilation for more than 1 hour between October 2010 and September 2014. Patients on controlled mechanical ventilation for more than 20 hours were included in the final analysis. Interventions (1) Default ventilator settings were adjusted to comply with low TVe targets from the initiation of ventilation unless actively changed by a clinician. (2) A large dashboard was deployed displaying TVes in the format mL/kg ideal body weight (IBW) with alerts when TVes were excessive. Primary outcome measure TVe in mL/kg IBW. Findings TVe was significantly lower in the defaults group. In the dashboard intervention, TVe fell more quickly and by a greater amount after a TVe of 8 mL/kg IBW was breached when compared with controls. This effect improved in each subsequent year for 3 years. Conclusions This study has demonstrated that adjustment of default ventilator settings and a dashboard with alerts for excessive TVe can significantly influence clinical decision-making. This offers a promising strategy to improve compliance with low TVe ventilation, and suggests that using insights from behavioural science has potential to improve the translation of evidence into practice. PMID:27230998

The effects of solar radiation and black body re-radiation on thermal comfort.

PubMed

Hodder, Simon; Parsons, Ken

2008-04-01

When the sun shines on people in enclosed spaces, such as in buildings or vehicles, it directly affects thermal comfort. There is also an indirect effect as surrounding surfaces are heated exposing a person to re-radiation. This laboratory study investigated the effects of long wave re-radiation on thermal comfort, individually and when combined with direct solar radiation. Nine male participants (26.0 +/- 4.7 years) took part in three experimental sessions where they were exposed to radiation from a hot black panel heated to 100 degrees C; direct simulated solar radiation of 600 Wm(-2) and the combined simulated solar radiation and black panel radiation. Exposures were for 30 min, during which subjective responses and mean skin temperatures were recorded. The results showed that, at a surface temperature of 100 degrees C (close to maximum in practice), radiation from the flat black panel provided thermal discomfort but that this was relatively small when compared with the effects of direct solar radiation. It was concluded that re-radiation, from a dashboard in a vehicle, for example, will not have a major direct influence on thermal comfort and that existing models of thermal comfort do not require a specific modification. These results showed that, for the conditions investigated, the addition of re-radiation from internal components has an effect on thermal sensation when combined with direct solar radiation. However, it is not considered that it will be a major factor in a real world situation. This is because, in practice, dashboards are unlikely to maintain very high surface temperatures in vehicles without an unacceptably high air temperature. This study quantifies the contribution of short- and long-wave radiation to thermal comfort. The results will aid vehicle designers to have a better understanding of the complex radiation environment. These include direct radiation from the sun as well as re-radiation from the dashboard and other internal surfaces.

Communications Dashboard (Control Rooms Take a Cue from Facebook), Chapter 1

NASA Technical Reports Server (NTRS)

Scott, David w.

2013-01-01

Papers published via IEEE and AIAA conferences have presented an overview of how social media could benefit NASA working environments in general and proposed three specific social applications to benefit space flight control operations. One of them, Communications Dashboard, would help a real time flight controller keep up with both the "big picture" and significant details of operations via a cohesive interface similar to those of social networking services (SNS). Instead of recreational social features, "CommDash" would support functions like console logging, categorized and threaded text chat streams with enhanced accountability and graphics display features, high-level status displays driven by telemetry or other events, and an on-screen hailing function for requesting voice or text stream conversation. Moving certain voice conversations to text streams would reduce confusion and stress in two ways. Within text conversations, there would be far less repetition of content since text conversations have visual persistence and are reviewable instantly, e.g., there s no need to brief new participants to a discussion -- they just read what s already there. Remaining voice traffic would stand out more clearly, and quieter voice loops means fewer "say again" calls and less distraction from visual and mental tasks, thus less stress. (Most flight controllers monitor 4 or 5 voice loops at once.) Links could be created from console log entries to chat selections so that underlying details are readily available yet unobtrusive. This would reduce the confusion that rises from having multiple and sometimes divergent copies of the same information due to cut/copy and paste operations, attachments, and asynchronous editing. This concept could apply to a plethora of real time control environments and to other settings with lots of information juggling. This paper explores the dashboard concept in further detail and chronicles the first phase of a NASA IT Labs (Information Technology) project that could lead to a working system

OLEM Performance Assessment Information

EPA Pesticide Factsheets

This asset includes a variety of data sets that measure the performance of Office of Land and Emergency Management (OLEM) programs in support of the Office of the Chief Financial Officer's Annual Commitment System (ACS) and Performance Evaluation Reporting System (PERS). Information is drawn from OLEM's ACRES, RCRAInfo, CERCLIS/SEMS, ICIS, and LUST4 systems, as well as input manually by authorized individuals in OLEM's program offices. Information is reviewed by OLEM program staff prior to being pushed to ACS and entered into PERS. This data asset also pulls in certain performance information input directly by Regional Office staff into ACS. Information is managed by the Performance Assessment Tool (PAT) and displayed in the PAT Dashboard.Information in this asset include:--Government Performance and Results Act (GPRA) of 1993: Measures reported for Innovations, Partnerships and Communications Office (IPCO), the Office of Brownfields and Land Revitalization (OBLR), the Office of Emergency Management (OEM), the Office of Resource Conservation and Recovery (ORCR), the Office of Superfund Remediation and Technology Innovation (OSRTI), and the Office of Underground Storage Tanks (OUST).-- Performance and Environmental Results System (PERS): Includes OLEM's information on performance results and baselines for the EPA Annual Plan and Budget.--Key Performance Indicators: OLEM has identified five KPIs that are tracked annually.--Integrated Cleanup Initiative: A pilot pe

Cementitious Barriers Partnership (CBP): Training and Release of CBP Toolbox Software, Version 1.0 - 13480

DOE Office of Scientific and Technical Information (OSTI.GOV)

Brown, K.G.; Kosson, D.S.; Garrabrants, A.C.

2013-07-01

The Cementitious Barriers Partnership (CBP) Project is a multi-disciplinary, multi-institutional collaboration supported by the Office of Tank Waste Management within the Office of Environmental Management of U.S. Department of Energy (US DOE). The CBP program has developed a set of integrated tools (based on state-of-the-art models and leaching test methods) that improve understanding and predictions of the long-term hydraulic and chemical performance of cementitious barriers used in nuclear applications. Tools selected for and developed under this program are intended to evaluate and predict the behavior of cementitious barriers used in near-surface engineered waste disposal systems for periods of performance upmore » to or longer than 100 years for operating facilities and longer than 1,000 years for waste management purposes. CBP software tools were made available to selected DOE Office of Environmental Management and field site users for training and evaluation based on a set of important degradation scenarios, including sulfate ingress/attack and carbonation of cementitious materials. The tools were presented at two-day training workshops held at U.S. National Institute of Standards and Technology (NIST), Savannah River, and Hanford included LeachXS{sup TM}/ORCHESTRA, STADIUM{sup R}, and a CBP-developed GoldSim Dashboard interface. Collectively, these components form the CBP Software Toolbox. The new U.S. Environmental Protection Agency leaching test methods based on the Leaching Environmental Assessment Framework (LEAF) were also presented. The CBP Dashboard uses a custom Dynamic-link library developed by CBP to couple to the LeachXS{sup TM}/ORCHESTRA and STADIUM{sup R} codes to simulate reactive transport and degradation in cementitious materials for selected performance assessment scenarios. The first day of the workshop introduced participants to the software components via presentation materials, and the second day included hands-on tutorial exercises followed by discussions of enhancements desired by participants. Tools were revised based on feedback obtained during the workshops held from April through June 2012. The resulting improved CBP Software Toolbox, including evaluation versions of and LeachXS{sup TM}/ORCHESTRA and STADIUM{sup R} has been made available to workshop and selected other participants for further assessment. Inquiries about future workshops and requests for access to the Toolbox software can be made via the CBP web site [1]. (authors)« less

It’s Just (Academic) Business: A Use Case in Improving Informatics Operations with Business Intelligence

PubMed Central

McIntosh, Leslie D.; Zabarovskaya, Connie; Uhlmansiek, Mary

2015-01-01

Academic biomedical informatics cores are beholden to funding agencies, institutional administration, collaborating researchers, and external agencies for ongoing funding and support. Services provided and translational research outcomes are increasingly important to monitor, report and analyze, to demonstrate value provided to the organization and the greater scientific community. Thus, informatics operations are also business operations. As such, adopting business intelligence practices offers an opportunity to improve the efficiency of evaluation efforts while fulfilling reporting requirements. Organizing informatics development documentation, service requests, and work performed with adaptable tools have greatly facilitated these and related business activities within our informatics center. Through the identification and measurement of key performance indicators, informatics objectives and results are now quickly and nimbly assessed using dashboards. Acceptance of the informatics operation as a business venture and the adoption of business intelligence strategies has allowed for data-driven decision making, faster corrective action, and greater transparency for interested stakeholders. PMID:26306252

Bringing it all together: A Web-based Database for Chemical and Biological Data to Support Environmental Toxicology (ACS Fall meeting 8 of 12)

EPA Science Inventory

The EPA Comptox Chemistry Dashboard is a web-based application providing access to a set of data resources provided by the National Center of Computational Toxicology. Sitting on a foundation of chemistry data for ~750,000 chemical substances the application integrates bioassay s...

Stream-Dashboard: A Big Data Stream Clustering Framework with Applications to Social Media Streams

ERIC Educational Resources Information Center

Hawwash, Basheer

2013-01-01

Data mining is concerned with detecting patterns of data in raw datasets, which are then used to unearth knowledge that might not have been discovered using conventional querying or statistical methods. This discovered knowledge has been used to empower decision makers in countless applications spanning across many multi-disciplinary areas…

"Seeing the Whole Elephant": Changing Mindsets and Empowering Stakeholders to Meaningfully Manage Accountability and Improvement

ERIC Educational Resources Information Center

Bush-Mecenas, Susan; Marsh, Julie A.; Montes de Oca, David; Hough, Heather

2018-01-01

School accountability and improvement policy are on the precipice of a paradigm shift. While the multiple-measure dashboard accountability approach holds great promise for promoting more meaningful learning opportunities for all students, our research indicates that this can come with substantial challenges in practice. We reflect upon the lessons…

40 CFR 86.1807-07 - Vehicle labeling.

Code of Federal Regulations, 2012 CFR

2012-07-01

... using a test fuel with 15 ppm sulfur or less, must include permanent readily visible labels on the dashboard (or instrument panel) and near all fuel inlets that state “Use Ultra Low Sulfur Diesel Fuel Only” or “Ultra Low Sulfur Diesel Fuel Only”. [66 FR 5189, Jan. 18, 2001, as amended at 70 FR 40442, July...

32 CFR 636.10 - Hunter Army Airfield vehicle registration.

Code of Federal Regulations, 2011 CFR

2011-07-01

...) Temporary passes will be conspicuously placed on the left side of the vehicle dashboard between the... registered in one of two places: (1) Exterior, front windshield lower left corner. (2) Front, left bumper of... decal with the month on the left and the year on the right. (4) Decals will not be affixed to any other...

The Knowledge Product Lifecycle and the Strategic Dashboard

ERIC Educational Resources Information Center

Glessner, Linda L.; Gillis, Denise

2012-01-01

Several years ago, the Continuing and Innovative Education (CIE) leadership team at UT-Austin took a hard look at the unit through the lens of customers to reevaluate their programs and services and the role they played in serving the lifelong educational needs of their constituents. Their goal was to provide continuous learning for a productive,…

Data Visualization: An Exploratory Study into the Software Tools Used by Businesses

ERIC Educational Resources Information Center

Diamond, Michael; Mattia, Angela

2017-01-01

Data visualization is a key component to business and data analytics, allowing analysts in businesses to create tools such as dashboards for business executives. Various software packages allow businesses to create these tools in order to manipulate data for making informed business decisions. The focus is to examine what skills employers are…

Business intelligence effort get a boost. The meaningful use framework highlights the value of data warehouses and BI tools.

PubMed

Raths, David

2011-01-01

As patient care organizations nationwide prepare to report on meaningful use quality measures, those with enterprise data warehouses may find they have a head start. The more advanced among them are establishing workgroups to create dashboards to analyze progress and identify gaps that need addressing.

Targeted business intelligence pays off.

PubMed

Hennen, James

2009-03-01

Application business intelligence can accomplish much of what large-scale, enterprisewide efforts can accomplish: Focus on a variety of data that are interrelated in a meaningful way, Support decision making at multiple levels within a given organization, Leverage data that are already captured but not fully used, Provide actionable information and support quick response via a dashboard or control panel.

Dashboard Lights: Monitoring Implementation of District Instructional Reform Strategies

ERIC Educational Resources Information Center

Supovitz, Jonathan A.; Weathers, John

2004-01-01

Duval County Florida superintendent John Fryer was not used to flying blind. A retired Air Force major general and former tactical fighter wing commander new to school district leadership, Fryer was used to having a control panel packed with information. In front of him in the cockpit, Fryer had a wide range of continually updated data from which…

FASTQ quality control dashboard

DOE Office of Scientific and Technical Information (OSTI.GOV)

2016-07-25

FQCDB builds up existing open source software, FastQC, implementing a modern web interface for across parsed output of FastQC. In addition, FQCDB is extensible as a web service to include additional plots of type line, boxplot, or heatmap, across data formatted according to guidelines. The interface is also configurable via more readable JSON format, enabling customization by non-web programmers.

Teachers as Producers of Data Analytics: A Case Study of a Teacher-Focused Educational Data Science Program

ERIC Educational Resources Information Center

McCoy, Chase; Shih, Patrick C.

2016-01-01

Educational data science (EDS) is an emerging, interdisciplinary research domain that seeks to improve educational assessment, teaching, and student learning through data analytics. Teachers have been portrayed in the EDS literature as users of pre-constructed data dashboards in educational technologies, with little consideration given to them as…

A Novel Web-Based Approach for Visualization and Inspection of Reading Difficulties on University Students

ERIC Educational Resources Information Center

Mejia, Carolina; Florian, Beatriz; Vatrapu, Ravi; Bull, Susan; Gomez, Sergio; Fabregat, Ramon

2017-01-01

Existing tools aim to detect university students with early diagnosis of dyslexia or reading difficulties, but there are not developed tools that let those students better understand some aspects of their difficulties. In this paper, a dashboard for visualizing and inspecting early detected reading difficulties and their characteristics, called…

Analysing Simple Motions Using the Doppler Effect--"Seeing" Sound

ERIC Educational Resources Information Center

Stonawski, Tamás; Gálik, Tamás

2017-01-01

The Doppler effect has seen widespread use in the past hundred years. It is used for medical imaging, for measuring speed, temperature, direction, etc, and it makes the spatial relations of motion easy to map. The Doppler effect also allows GPS receivers to measure the speed of a vehicle significantly more accurately than dashboard speedometers.…

Data Visualization: An Exploratory Study into the Software Tools Used by Businesses

ERIC Educational Resources Information Center

Diamond, Michael; Mattia, Angela

2015-01-01

Data visualization is a key component to business and data analytics, allowing analysts in businesses to create tools such as dashboards for business executives. Various software packages allow businesses to create these tools in order to manipulate data for making informed business decisions. The focus is to examine what skills employers are…

Consolidation of cloud computing in ATLAS

NASA Astrophysics Data System (ADS)

Taylor, Ryan P.; Domingues Cordeiro, Cristovao Jose; Giordano, Domenico; Hover, John; Kouba, Tomas; Love, Peter; McNab, Andrew; Schovancova, Jaroslava; Sobie, Randall; ATLAS Collaboration

2017-10-01

Throughout the first half of LHC Run 2, ATLAS cloud computing has undergone a period of consolidation, characterized by building upon previously established systems, with the aim of reducing operational effort, improving robustness, and reaching higher scale. This paper describes the current state of ATLAS cloud computing. Cloud activities are converging on a common contextualization approach for virtual machines, and cloud resources are sharing monitoring and service discovery components. We describe the integration of Vacuum resources, streamlined usage of the Simulation at Point 1 cloud for offline processing, extreme scaling on Amazon compute resources, and procurement of commercial cloud capacity in Europe. Finally, building on the previously established monitoring infrastructure, we have deployed a real-time monitoring and alerting platform which coalesces data from multiple sources, provides flexible visualization via customizable dashboards, and issues alerts and carries out corrective actions in response to problems.

The impact of new forms of large-scale general practice provider collaborations on England's NHS: a systematic review.

PubMed

Pettigrew, Luisa M; Kumpunen, Stephanie; Mays, Nicholas; Rosen, Rebecca; Posaner, Rachel

2018-03-01

Over the past decade, collaboration between general practices in England to form new provider networks and large-scale organisations has been driven largely by grassroots action among GPs. However, it is now being increasingly advocated for by national policymakers. Expectations of what scaling up general practice in England will achieve are significant. To review the evidence of the impact of new forms of large-scale general practice provider collaborations in England. Systematic review. Embase, MEDLINE, Health Management Information Consortium, and Social Sciences Citation Index were searched for studies reporting the impact on clinical processes and outcomes, patient experience, workforce satisfaction, or costs of new forms of provider collaborations between general practices in England. A total of 1782 publications were screened. Five studies met the inclusion criteria and four examined the same general practice networks, limiting generalisability. Substantial financial investment was required to establish the networks and the associated interventions that were targeted at four clinical areas. Quality improvements were achieved through standardised processes, incentives at network level, information technology-enabled performance dashboards, and local network management. The fifth study of a large-scale multisite general practice organisation showed that it may be better placed to implement safety and quality processes than conventional practices. However, unintended consequences may arise, such as perceptions of disenfranchisement among staff and reductions in continuity of care. Good-quality evidence of the impacts of scaling up general practice provider organisations in England is scarce. As more general practice collaborations emerge, evaluation of their impacts will be important to understand which work, in which settings, how, and why. © British Journal of General Practice 2018.

Southern California Daily Energy Report

EIA Publications

2016-01-01

EIA has updated its Southern California Daily Energy Report to provide additional information on key energy market indicators for the winter season. The dashboard includes information that EIA regularly compiles about energy operations and the management of natural gas and electricity systems in Southern California in the aftermath of a leak at the Aliso Canyon natural gas storage facility outside of Los Angeles

ConfChem Conference on Select 2016 BCCE Presentations: Tracking Student Use of Web-Based Resources for Chemical Education

ERIC Educational Resources Information Center

Bodily, Robert; Wood, Steven

2017-01-01

This paper presents the technical infrastructure required to track student use of web-based resources in an introductory chemistry course, the design of a student dashboard, and the results from analyzing student web-based resource use. Students were tracked as they interacted with online homework problems and high quality course content videos.…

A Case for Calculating Innovation Score: Comparison between Apple, Inc. and Microsoft, Corp

ERIC Educational Resources Information Center

Aimiuwu, Ehi E.

2013-01-01

This case study is about measuring the innovation score of a firm and comparing it against a competitor within a particular industry nationally. It is meant to motivate students who are interested in how business intelligence dashboards can be used to measure innovation of firms. The case study is for students who are taking a class in business…

The Development of a Learning Dashboard for Lecturers: A Case Study on a Student-Centered E-Learning Environment

ERIC Educational Resources Information Center

Santoso, Harry B.; Batuparan, Alivia Khaira; Isal, R. Yugo K.; Goodridge, Wade H.

2018-01-01

Student Centered e-Learning Environment (SCELE) is a Moodle-based learning management system (LMS) that has been modified to enhance learning within a computer science department curriculum offered by the Faculty of Computer Science of large public university in Indonesia. This Moodle provided a mechanism to record students' activities when…

Data-Driven Leadership: Determining Your Indicators and Building Your Dashboards

ERIC Educational Resources Information Center

Copeland, Mo

2016-01-01

For years, schools have tended to approach budgets with some basic assumptions and aspirations and general wish lists but with scant data to drive the budget conversation. Suppose there were a better way? What if the conversation started with a review of the last five to ten years of data on three key mission- and strategy-driven indicators:…

Digital Dreams and Dashboards: Notable Government Documents 2009

ERIC Educational Resources Information Center

Griffths, David N.

2010-01-01

Though some libraries thrived in 2009, many more took a beating, and the fiscal crises that have struck many states and thousands of municipal governments in 2010 increase the odds that the effects of the new Great Recession will be felt over the long term. The decline in payroll and collections budgets have led to a loss of expertise and key…

The Strategic Teacher: Selecting the Right Research-Based Strategy for Every Lesson

ERIC Educational Resources Information Center

Silver, Harvey F.; Strong, Richard W.; Perini, Matthew J.

2007-01-01

This ultimate guide to teaching strategies gives you 20 of the most reliable teaching strategies for every grade and subject, with dozens of variations and clear steps and examples for how to implement them. To help you choose the right strategy, the authors include a Strategic Dashboard that makes it easy for you to match your strategy to your…

Details from the Dashboard: Estimated Number of Public Charter Schools & Students, 2014-2015

ERIC Educational Resources Information Center

National Alliance for Public Charter Schools, 2015

2015-01-01

During the 2014-15 school year, almost 500 new public charter schools opened. An estimated 348,000 additional students were attending public charter schools in the 2014-15 school year compared with the previous school year. With the addition of new charter schools and students, there are now more than 6,700 public charter schools enrolling about…

Replicating the Relationship between Teachers' Data Use and Student Achievement: The Urban Data Study and the Data Dashboard Usage Study

ERIC Educational Resources Information Center

Faria, Ann-Marie; Greenberg, Ariela; Meakin, John; Bichay, Krystal; Heppen, Jessica

2014-01-01

Educators have long used test scores to make educational decisions, but only within the last decade has the availability of data been systematic (Abelman, Elmore, Even, Kenyon, & Marshall, 1999). In recent years, interest has spiked in data-driven decision making in education (Marsh, Pane, & Hamilton, 2006). With technological advances and…

The public health dashboard: a surveillance model for bioterrorism preparedness.

PubMed

Foldy, Seth L; Biedrzycki, Paul A; Baker, Bevan K; Swain, Geoffrey R; Howe, Donna S; Gieryn, Douglas; Barthell, Edward N; Pemble, Kim R

2004-01-01

The City of Milwaukee Health Department piloted a short-term, near real-time syndromic surveillance and communication tool by using an existing secure regional Internet infrastructure. Voluntary, active syndromic case reporting by hospital Emergency Departments was combined with other data streams, including clinical laboratory reports of communicable disease, hospital emergency room diversions, ambulance runs, medical examiner reports of unusual or suspicious deaths, poison control and nursing hotline call volumes, and pharmacy over-the-counter sales. These data were aggregated into a "Surveillance Dashboard" format that was used to communicate community syndromic health trends to hospitals, Emergency Departments, and other providers using a secure Internet technology. Emergency Departments at 8 area hospitals reported a total of 314 cases meeting syndromic criteria from 26,888 patient encounters. Participants were satisfied with data entry and communications. All participating Emergency Departments received e-mail and text pager alerts sent by the Milwaukee Health Department. No unexplained findings or suggestions of an early outbreak were reported through syndrome surveillance for the 4-week duration of the project. Similar surveillance and communications systems could provide multiple benefits to Emergency Department workflow and management, as well as to public health and emergency response.

An innovative forecasting and dashboard system for Malaysian dengue trends

NASA Astrophysics Data System (ADS)

Jamil, Jastini Mohd; Shaharanee, Izwan Nizal Mohd

2016-08-01

Dengue fever has been recognized in over 100 countries and 2.5 billion people live in areas where dengue is endemic. It is currently a serious arthropod-borne disease, affecting around 50-100 million people worldwide every year. Dengue fever is also prevalent in Malaysia with numerous cases including mortality recorded over the past year. In 2012, a total of 21,900 cases of dengue fever were reported with 35 deaths. Dengue, a mosquito-transmitted virus, causes a high fever accompanied by significant pain in afflicted patient and the Aedes Aegypti mosquito is the primary disease carrier. Knowing the dangerous effect of dengue fever, thus one of the solutions is to implement an innovative forecasting and dashboard system of dengue spread in Malaysia, with emphasize on an early prediction of dengue outbreak. Specifically, the model developed will provide with a valuable insight into strategically managing and controlling the future dengue epidemic. Importantly, this research will deliver the message to health policy makers such as The Ministry of Health Malaysia (MOH), practitioners, and researchers of the importance to integrate their collaboration in exploring the potential strategies in order to reduce the future burden of the increase in dengue transmission cases in Malaysia.

Generation of GHS Scores from TEST and online sources ...

EPA Pesticide Factsheets

Alternatives assessment frameworks such as DfE (Design for the Environment) evaluate chemical alternatives in terms of human health effects, ecotoxicity, and fate. T.E.S.T. (Toxicity Estimation Software Tool) can be utilized to evaluate human health in terms of acute oral rat toxicity, developmental toxicity, endocrine activity, and mutagenicity. It can be used to evaluate ecotoxicity (in terms of acute fathead minnow toxicity) and fate (in terms of bioconcentration factor). It also be used to estimate a variety of key physicochemical properties such as melting point, boiling point, vapor pressure, water solubility, and bioconcentration factor. A web-based version of T.E.S.T. is currently being developed to allow predictions to be made from other web tools. Online data sources such as from NCCT’s Chemistry Dashboard, REACH dossiers, or from ChemHat.org can also be utilized to obtain GHS (Global Harmonization System) scores for comparing alternatives. The purpose of this talk is to show how GHS (Global Harmonization Score) data can be obtained from literature sources and from T.E.S.T. (Toxicity Estimation Software Tool). This data will be used to compare chemical alternatives in the alternatives assessment dashboard (a 2018 CSS product).

From EGEE Operations Portal towards EGI Operations Portal

NASA Astrophysics Data System (ADS)

Cordier, Hélène; L'Orphelin, Cyril; Reynaud, Sylvain; Lequeux, Olivier; Loikkanen, Sinikka; Veyre, Pierre

Grid operators in EGEE have been using a dedicated dashboard as their central operational tool, stable and scalable for the last 5 years despite continuous upgrade from specifications by users, monitoring tools or data providers. In EGEE-III, recent regionalisation of operations led the Operations Portal developers to conceive a standalone instance of this tool. We will see how the dashboard reorganization paved the way for the re-engineering of the portal itself. The outcome is an easily deployable package customized with relevant information sources and specific decentralized operational requirements. This package is composed of a generic and scalable data access mechanism, Lavoisier; a renowned php framework for configuration flexibility, Symfony and a MySQL database. VO life cycle and operational information, EGEE broadcast and Downtime notifications are next for the major reorganization until all other key features of the Operations Portal are migrated to the framework. Features specifications will be sketched at the same time to adapt to EGI requirements and to upgrade. Future work on feature regionalisation, on new advanced features or strategy planning will be tracked in EGI- Inspire through the Operations Tools Advisory Group, OTAG, where all users, customers and third parties of the Operations Portal are represented from January 2010.

The Trip Itinerary Optimization Platform: A Framework for Personalized Travel Information

DOE Office of Scientific and Technical Information (OSTI.GOV)

Kwasnik, Ted; Carmichael, Scott P.; Arent, Douglas J

The New Concepts Incubator team at the National Renewable Energy Laboratory (NREL) developed a three-stage online platform for travel diary collection, personal travel plan optimization and travel itinerary visualization. In the first stage, users provide a travel diary for the previous day through an interactive map and calendar interface and survey for travel attitudes and behaviors. One or more days later, users are invited via email to engage in a second stage where they view a personal mobility dashboard displaying recommended travel itineraries generated from a novel framework that optimizes travel outcomes over a sequence of interrelated trips. A weekmore » or more after viewing these recommended travel itineraries on the dashboard, users are emailed again to engage in a third stage where they complete a final survey about travel attitudes and behaviors. A usability study of the platform conducted online showed that, in general, users found the system valuable for informing their travel decisions. A total of 274 individuals were recruited through Amazon Mechanical Turk, an online survey platform, to participate in a transportation study using this platform. On average, the platform distilled 65 feasible travel plans per individual into two recommended itineraries, each optimal according to one or more outcomes and dependent on the fixed times and locations from the travel diary. For 45 percent of users, the trip recommendation algorithm returned only a single, typically automobile-centric, itinerary because there were no other viable alternative transportation modes available. Platform users generally agreed that the dashboard was enjoyable and easy to use, and that it would be a helpful tool in adopting new travel behaviors. Users generally agreed most that the time, cost and user preferred recommendations 'made sense' to them, and were most willing to implement these itineraries. Platform users typically expressed low willingness to try the carbon and calories optimized itineraries. Of the platform users who viewed the dashboard, 13 percent reported changing their travel behavior, most adopting the time, calories or carbon optimized itineraries. While the algorithm incorporates a wealth of travel data obtained from online APIs pertaining to a travelers route such as historic traffic condition data, public transit time-tables, and bike path routes, open-ended responses from users expressed an interest in the integration of even more fine-grained traffic data and the ability to dynamically model the effect of changes in travel times. Users also commonly expressed concerns over the safety of walking and biking recommendations. Responses indicate that more information about the amenities available to cyclists and pedestrians (sidewalks, shade from trees, access to food) and routes that avoid areas of perceived elevated danger would reduce barriers to implementing these recommendations. More accurate representations of personal vehicle trips (based on vehicle make and model, implications of parking) and the identification of routes that optimize caloric intensity (seeking out elevation changes or longer walks to public transit) are promising avenues for future research.« less

Open-Source Python Tools for Deploying Interactive GIS Dashboards for a Billion Datapoints on a Laptop

NASA Astrophysics Data System (ADS)

Steinberg, P. D.; Bednar, J. A.; Rudiger, P.; Stevens, J. L. R.; Ball, C. E.; Christensen, S. D.; Pothina, D.

2017-12-01

The rich variety of software libraries available in the Python scientific ecosystem provides a flexible and powerful alternative to traditional integrated GIS (geographic information system) programs. Each such library focuses on doing a certain set of general-purpose tasks well, and Python makes it relatively simple to glue the libraries together to solve a wide range of complex, open-ended problems in Earth science. However, choosing an appropriate set of libraries can be challenging, and it is difficult to predict how much "glue code" will be needed for any particular combination of libraries and tasks. Here we present a set of libraries that have been designed to work well together to build interactive analyses and visualizations of large geographic datasets, in standard web browsers. The resulting workflows run on ordinary laptops even for billions of data points, and easily scale up to larger compute clusters when available. The declarative top-level interface used in these libraries means that even complex, fully interactive applications can be built and deployed as web services using only a few dozen lines of code, making it simple to create and share custom interactive applications even for datasets too large for most traditional GIS systems. The libraries we will cover include GeoViews (HoloViews extended for geographic applications) for declaring visualizable/plottable objects, Bokeh for building visual web applications from GeoViews objects, Datashader for rendering arbitrarily large datasets faithfully as fixed-size images, Param for specifying user-modifiable parameters that model your domain, Xarray for computing with n-dimensional array data, Dask for flexibly dispatching computational tasks across processors, and Numba for compiling array-based Python code down to fast machine code. We will show how to use the resulting workflow with static datasets and with simulators such as GSSHA or AdH, allowing you to deploy flexible, high-performance web-based dashboards for your GIS data or simulations without needing major investments in code development or maintenance.

Effect of Social Comparison Feedback on Laboratory Test Ordering for Hospitalized Patients: A Randomized Controlled Trial.

PubMed

Ryskina, Kira; Jessica Dine, C; Gitelman, Yevgeniy; Leri, Damien; Patel, Mitesh; Kurtzman, Gregory; Lin, Lisa Y; Epstein, Andrew J

2018-05-22

Social comparison feedback is an increasingly popular strategy that uses performance report cards to modify physician behavior. Our objective was to test the effect of such feedback on the ordering of routine laboratory tests for hospitalized patients, a practice considered overused. This was a single-blinded randomized controlled trial. Between January and June 2016, physicians on six general medicine teams at the Hospital of the University of Pennsylvania were cluster randomized with equal allocation to two arms: (1) those e-mailed a summary of their routine laboratory test ordering vs. the service average for the prior week, linked to a continuously updated personalized dashboard containing patient-level details, and snapshot of the dashboard and (2) those who did not receive the intervention. The primary outcome was the count of routine laboratory test orders placed by a physician per patient-day. We modeled the count of orders by each physician per patient-day after the intervention as a function of trial arm and the physician's order count before the intervention. The count outcome was modeled using negative binomial models with adjustment for clustering within teams. One hundred and fourteen interns and residents participated. We did not observe a statistically significant difference in adjusted reduction in routine laboratory ordering between the intervention and control physicians (physicians in the intervention group ordered 0.14 fewer tests per patient-day than physicians in the control group, 95% CI - 0.56 to 0.27, p = 0.50). Physicians whose absolute ordering rate deviated from the peer rate by more than 1.0 laboratory test per patient-day reduced their laboratory ordering by 0.80 orders per patient-day (95% CI - 1.58 to - 0.02, p = 0.04). Personalized social comparison feedback on routine laboratory ordering did not change targeted behavior among physicians, although there was a significant decrease in orders among participants who deviated more from the peer rate. Clinicaltrials.gov registration: #NCT02330289.

The design and evaluation of an antimicrobial resistance surveillance system for neonatal intensive care units in Iran.

PubMed

Rezaei-Hachesu, Peyman; Samad-Soltani, Taha; Yaghoubi, Sajad; GhaziSaeedi, Marjan; Mirnia, Kayvan; Masoumi-Asl, Hossein; Safdari, Reza

2018-07-01

Neonatal intensive care units (NICUs) have complex patients in terms of their diagnoses and required treatments. Antimicrobial treatment is a common therapy for patients in NICUs. To solve problems pertaining to empirical therapy, antimicrobial stewardship programs have recently been introduced. Despite the success of these programs in terms of data collection, there is still inefficiency in terms of analyzing and reporting the data. Thus, to successfully implement these stewardship programs, the design of antimicrobial resistance (AMR) surveillance systems is recommended as a first step. As a result, this study aimed to design an AMR surveillance system for use in the NICUs in northwestern Iranian hospitals to cover these information gaps. The recommended system is compatible with the World Health Organization (WHO) guidelines. The business intelligence (BI) requirements were extracted in an interview with a product owner (PO) using a valid and reliable checklist. Following this, an AMR surveillance system was designed and evaluated in relation to user experiences via a user experience questionnaire (UEQ). Finally, an association analysis was performed on the database, and the results were reported by identifying the important multidrug resistances in the database. A customized software development methodology was proposed. The three major modules of the AMR surveillance are the data registry, dashboard, and decision support modules. The data registry module was implemented based on a three-tier architecture, and the Clinical Decision Support System (CDSS) and dashboard modules were designed based on the BI requirements of the Scrum product owner (PO). The mean values of UEQ measures were in a good range. This measures showed the suitable usability of the AMR surveillance system. Applying efficient software development methodologies allows for the systems' compatibility with users' opinions and requirements. In addition, the construction of interdisciplinary communication models for research and software engineering allows for research and development concepts to be used in operational environments. Copyright © 2018 Elsevier B.V. All rights reserved.

Automating Guidelines for Clinical Decision Support: Knowledge Engineering and Implementation.

PubMed

Tso, Geoffrey J; Tu, Samson W; Oshiro, Connie; Martins, Susana; Ashcraft, Michael; Yuen, Kaeli W; Wang, Dan; Robinson, Amy; Heidenreich, Paul A; Goldstein, Mary K

2016-01-01

As utilization of clinical decision support (CDS) increases, it is important to continue the development and refinement of methods to accurately translate the intention of clinical practice guidelines (CPG) into a computable form. In this study, we validate and extend the 13 steps that Shiffman et al. 5 identified for translating CPG knowledge for use in CDS. During an implementation project of ATHENA-CDS, we encoded complex CPG recommendations for five common chronic conditions for integration into an existing clinical dashboard. Major decisions made during the implementation process were recorded and categorized according to the 13 steps. During the implementation period, we categorized 119 decisions and identified 8 new categories required to complete the project. We provide details on an updated model that outlines all of the steps used to translate CPG knowledge into a CDS integrated with existing health information technology.

Development and Piloting of a Classroom-focused Measurement Feedback System

PubMed Central

Nadeem, Erum; Cappella, Elise; Holland, Sibyl; Coccaro, Candace; Crisonino, Gerard

2015-01-01

The present study used a community partnered research method to develop and pilot a classroom-focused measurement feedback system (MFS) for school mental health providers to support teachers’ use of effective universal and target classroom practices related to student emotional and behavioral issues. School personnel from seven urban elementary and middle school classrooms participated. Phase I involved development and refinement of the system through a baseline needs assessment and rapid-cycle feedback. Phase II involved detailed case study analysis of pre-to-post quantitative and implementation process data. Results suggest that teachers who used the dashboard along with consultation showed improvement in observed classroom organization and emotional support. Results also suggest that MFS use was tied closely to consultation dose, and that broader support at the school level was critical. Classroom-focused MFSs are a promising tool to support classroom improvement, and warrant future research focused on their effectiveness and broad applicability. PMID:25894312

Designing and implementing a trust-wide quality assurance programme.

PubMed

Coope, Sally-Ann

2018-04-02

Derbyshire Community Health Services (DCHS) NHS Foundation Trust provides a wide range of community-based health services. After the Care Quality Commission (CQC) found gaps in the trust's assurance process, its board decided to develop a method of continuous quality improvements that could be used as a basis for the trust's quality assurance system. The trust adapted and built on an acute model so it was suitable for community services. The final assurance system, Quality Always, has four elements: the clinical assessment and accreditation scheme; leadership development; 'champions' within clinical teams to support and promote the scheme; and dashboards to record and monitor progress. A system to recognise and reward achievement was essential for success. Quality Always has resulted in better care quality, an improved CQC rating, a sense of achievement among staff, the development of support networks, learning (especially among support staff) and good practice being shared.

Template for preparation of papers for IEEE sponsored conferences & symposia.

PubMed

Sacchi, L; Dagliati, A; Tibollo, V; Leporati, P; De Cata, P; Cerra, C; Chiovato, L; Bellazzi, R

2015-01-01

To improve the access to medical information is necessary to design and implement integrated informatics techniques aimed to gather data from different and heterogeneous sources. This paper describes the technologies used to integrate data coming from the electronic medical record of the IRCCS Fondazione Maugeri (FSM) hospital of Pavia, Italy, and combines them with administrative, pharmacy drugs purchase coming from the local healthcare agency (ASL) of the Pavia area and environmental open data of the same region. The integration process is focused on data coming from a cohort of one thousand patients diagnosed with Type 2 Diabetes Mellitus (T2DM). Data analysis and temporal data mining techniques have been integrated to enhance the initial dataset allowing the possibility to stratify patients using further information coming from the mined data like behavioral patterns of prescription-related drug purchases and other frequent clinical temporal patterns, through the use of an intuitive dashboard controlled system.

Analyze Trends: State Hazardous Waste Dashboard | ECHO ...

EPA Pesticide Factsheets

ECHO, Enforcement and Compliance History Online, provides compliance and enforcement information for approximately 800,000 EPA-regulated facilities nationwide. ECHO includes permit, inspection, violation, enforcement action, and penalty information about facilities regulated under the Clean Air Act (CAA) Stationary Source Program, Clean Water Act (CWA) National Pollutant Elimination Discharge System (NPDES), and/or Resource Conservation and Recovery Act (RCRA). Information also is provided on surrounding demographics when available.

Learner Dashboards a Double-Edged Sword? Students' Sense-Making of a Collaborative Critical Reading and Learning Analytics Environment for Fostering 21st-Century Literacies

ERIC Educational Resources Information Center

Pei-Ling Tan, Jennifer; Koh, Elizabeth; Jonathan, Christin; Yang, Simon

2017-01-01

The affordances of learning analytics (LA) tools and solutions are being increasingly harnessed for enhancing 21st century pedagogical and learning strategies and outcomes. However, use cases and empirical understandings of students' experiences with LA tools and environments aimed at fostering 21st century literacies, especially in the K-12…

Analyze Trends: Pesticide Dashboard | ECHO | US EPA

EPA Pesticide Factsheets

ECHO, Enforcement and Compliance History Online, provides compliance and enforcement information for approximately 800,000 EPA-regulated facilities nationwide. ECHO includes permit, inspection, violation, enforcement action, and penalty information about facilities regulated under the Clean Air Act (CAA) Stationary Source Program, Clean Water Act (CWA) National Pollutant Elimination Discharge System (NPDES), and/or Resource Conservation and Recovery Act (RCRA). Information also is provided on surrounding demographics when available.

Big Data for Education: Data Mining, Data Analytics, and Web Dashboards. Governance Studies at Brookings

ERIC Educational Resources Information Center

West, Darrell M.

2012-01-01

Twelve-year-old Susan took a course designed to improve her reading skills. She read short stories and the teacher would give her and her fellow students a written test every other week measuring vocabulary and reading comprehension. A few days later, Susan's instructor graded the paper and returned her exam. The test showed that she did well on…

Dashboards for the Fire Service

DTIC Science & Technology

2017-12-01

did not appear to meet the specific needs of the MCFRS. The vendor prides itself on its customization skills and offered to work with MCFRS to...fire protection services in particular localities, and offered these assessments to the insurance industry so that individual insurance companies had a...THE FIRE SERVICE by Alan L. Butsch December 2017 Thesis Advisor: Scott Jasper Second Reader: Rodrigo Nieto-Gomez THIS PAGE INTENTIONALLY

Delivery of State-Provided Predictive Analytics to Schools: Wisconsin's DEWS and the Proposed EWIMS Dashboard. WCER Working Paper No. 2016-3

ERIC Educational Resources Information Center

Clune, Bill; Knowles, Jared

2016-01-01

Since 2012, the Wisconsin Department of Public Instruction (DPI) has maintained a statewide predictive analytics system providing schools with an early warning in middle grades of students at risk for not completing high school. DPI is considering extending and enhancing this system, known as the Dropout Early Warning System (DEWS). The proposed…

A Responsive Cyber Risk Ecosystem

DTIC Science & Technology

2017-01-19

UNCLASSIFIED - Distribution A: Approved for public release; distribution unlimited AIR FORCE CYBERWORX REPORT 16-003: A RESPONSIVE CYBER RISK...right problem to solve and find meaningful solutions by exploring a wide range of possible answers to the design problem. For the Responsive Cyber ...Risk Dashboard Design Project, CyberWorx brought together a design team of 25 participants from UASFA and Industry to explore how cyber risk to AF

Tool Integration Framework for Bio-Informatics

DTIC Science & Technology

2007-04-01

Java NetBeans [11] based Integrated Development Environment (IDE) for developing modules and packaging computational tools. The framework is extremely...integrate an Eclipse front-end for Desktop Integration. Eclipse was chosen over Netbeans owing to a higher acceptance, better infrastructure...5.0. This version of Dashboard ran with NetBeans IDE 3.6 requiring Java Runtime 1.4 on a machine with Windows XP. The toolchain is executed by

Dashboard and Water Pollution Search Comparison.png ...

EPA Pesticide Factsheets

ECHO, Enforcement and Compliance History Online, provides compliance and enforcement information for approximately 800,000 EPA-regulated facilities nationwide. ECHO includes permit, inspection, violation, enforcement action, and penalty information about facilities regulated under the Clean Air Act (CAA) Stationary Source Program, Clean Water Act (CWA) National Pollutant Elimination Discharge System (NPDES), and/or Resource Conservation and Recovery Act (RCRA). Information also is provided on surrounding demographics when available.

Shared Awareness in Times of Crisis: A Framework for Collaboration

DTIC Science & Technology

2011-06-01

also affords a “ dashboard ” perspective allowing for centralization of resources. The U.S. Army’s Knowledge Online portal is one example of a single...labor, energy, materials, information, cash and technology into outputs of higher value • Organization’s values (criteria that managers and...follows: Challenges - Disabilities Inter-Organizational Cross-Organizational Privacy and Security high security (portal) blocks information flow Trust

Increasing compliance with low tidal volume ventilation in the ICU with two nudge-based interventions: evaluation through intervention time-series analyses.

PubMed

Bourdeaux, Christopher P; Thomas, Matthew Jc; Gould, Timothy H; Malhotra, Gaurav; Jarvstad, Andreas; Jones, Timothy; Gilchrist, Iain D

2016-05-26

Low tidal volume (TVe) ventilation improves outcomes for ventilated patients, and the majority of clinicians state they implement it. Unfortunately, most patients never receive low TVes. 'Nudges' influence decision-making with subtle cognitive mechanisms and are effective in many contexts. There have been few studies examining their impact on clinical decision-making. We investigated the impact of 2 interventions designed using principles from behavioural science on the deployment of low TVe ventilation in the intensive care unit (ICU). University Hospitals Bristol, a tertiary, mixed medical and surgical ICU with 20 beds, admitting over 1300 patients per year. Data were collected from 2144 consecutive patients receiving controlled mechanical ventilation for more than 1 hour between October 2010 and September 2014. Patients on controlled mechanical ventilation for more than 20 hours were included in the final analysis. (1) Default ventilator settings were adjusted to comply with low TVe targets from the initiation of ventilation unless actively changed by a clinician. (2) A large dashboard was deployed displaying TVes in the format mL/kg ideal body weight (IBW) with alerts when TVes were excessive. TVe in mL/kg IBW. TVe was significantly lower in the defaults group. In the dashboard intervention, TVe fell more quickly and by a greater amount after a TVe of 8 mL/kg IBW was breached when compared with controls. This effect improved in each subsequent year for 3 years. This study has demonstrated that adjustment of default ventilator settings and a dashboard with alerts for excessive TVe can significantly influence clinical decision-making. This offers a promising strategy to improve compliance with low TVe ventilation, and suggests that using insights from behavioural science has potential to improve the translation of evidence into practice. 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/

Monitoring and accountability for the Pacific response to the non-communicable diseases crisis.

PubMed

Tolley, Hilary; Snowdon, Wendy; Wate, Jillian; Durand, A Mark; Vivili, Paula; McCool, Judith; Novotny, Rachel; Dewes, Ofa; Hoy, Damian; Bell, Colin; Richards, Nicola; Swinburn, Boyd

2016-09-10

Non-communicable diseases (NCD) are the leading cause of premature death and disability in the Pacific. In 2011, Pacific Forum Leaders declared "a human, social and economic crisis" due to the significant and growing burden of NCDs in the region. In 2013, Pacific Health Ministers' commitment to 'whole of government' strategy prompted calls for the development of a robust, sustainable, collaborative NCD monitoring and accountability system to track, review and propose remedial action to ensure progress towards the NCD goals and targets. The purpose of this paper is to describe a regional, collaborative framework for coordination, innovation and application of NCD monitoring activities at scale, and to show how they can strengthen accountability for action on NCDs in the Pacific. A key component is the Dashboard for NCD Action which aims to strengthen mutual accountability by demonstrating national and regional progress towards agreed NCD policies and actions. The framework for the Pacific Monitoring Alliance for NCD Action (MANA) draws together core country-level components of NCD monitoring data (mortality, morbidity, risk factors, health system responses, environments, and policies) and identifies key cross-cutting issues for strengthening national and regional monitoring systems. These include: capacity building; a regional knowledge exchange hub; innovations (monitoring childhood obesity and food environments); and a robust regional accountability system. The MANA framework is governed by the Heads of Health and operationalised by a multi-agency technical Coordination Team. Alliance membership is voluntary and non-conditional, and aims to support the 22 Pacific Island countries and territories to improve the quality of NCD monitoring data across the region. In establishing a common vision for NCD monitoring, the framework combines data collected under the WHO Global Framework for NCDs with a set of action-orientated indicators captured in a NCD Dashboard for Action. Viewing NCD monitoring as a multi-component system and providing a robust, transparent mutual accountability mechanism helps align agendas, roles and responsibilities of countries and support organisations. The dashboard provides a succinct communication tool for reporting progress on implementation of agreed policies and actions and its flexible methodology can be easily expanded, or adapted for other regions.

Managing patients' wait time in specialist out-patient clinic using real-time data from existing queue management and ADT systems.

PubMed

Ju, John Chen; Gan, Soon Ann; Tan Siew Wee, Justine; Huang Yuchi, Peter; Mei Mei, Chan; Wong Mei Mei, Sharon; Fong, Kam Weng

2013-01-01

In major cancer centers, heavy patients load and multiple registration stations could cause significant wait time, and can be result in patient complains. Real-time patient journey data and visual display are useful tools in hospital patient queue management. This paper demonstrates how we capture patient queue data without deploying any tracing devices; and how to convert data into useful patient journey information to understand where interventions are likely to be most effective. During our system development, remarkable effort has been spent on resolving data discrepancy and balancing between accuracy and system performances. A web-based dashboard to display real-time information and a framework for data analysis were also developed to facilitate our clinics' operation. Result shows our system could eliminate more than 95% of data capturing errors and has improved patient wait time data accuracy since it was deployed.

First results from a combined analysis of CERN computing infrastructure metrics

NASA Astrophysics Data System (ADS)

Duellmann, Dirk; Nieke, Christian

2017-10-01

The IT Analysis Working Group (AWG) has been formed at CERN across individual computing units and the experiments to attempt a cross cutting analysis of computing infrastructure and application metrics. In this presentation we will describe the first results obtained using medium/long term data (1 months — 1 year) correlating box level metrics, job level metrics from LSF and HTCondor, IO metrics from the physics analysis disk pools (EOS) and networking and application level metrics from the experiment dashboards. We will cover in particular the measurement of hardware performance and prediction of job duration, the latency sensitivity of different job types and a search for bottlenecks with the production job mix in the current infrastructure. The presentation will conclude with the proposal of a small set of metrics to simplify drawing conclusions also in the more constrained environment of public cloud deployments.

Electric vehicle test report Cutler-Hammer Corvette

NASA Technical Reports Server (NTRS)

1981-01-01

Vehicles were characterized for the state of the art assessment of electric vehicles. The vehicle evaluated was a Chevrolet Corvette converted to electric operation. The original internal combustion engine was replaced by an electric traction motor. Eighteen batteries supplied the electrical energy. A controller, an onboard battery charger, and several dashboard instruments completed the conversion. The emphasis was on the electrical portion of the drive train, although some analysis and discussion of the mechanical elements are included. Tests were conducted both on the road (actually a mile long runway) and in a chassis dynamometer equipped laboratory. The majority of the tests performed were according to SAE Procedure J227a and included maximum effort accelerations, constant speed range, and cyclic range. Some tests that are not a part of the SAE Procedure J227a are described and the analysis of the data from all tests is discussed.

Containment of Ebola and Polio in Low-Resource Settings Using Principles and Practices of Emergency Operations Centers in Public Health.

PubMed

Shuaib, Faisal M; Musa, Philip F; Muhammad, Ado; Musa, Emmanuel; Nyanti, Sara; Mkanda, Pascal; Mahoney, Frank; Corkum, Melissa; Durojaiye, Modupeoluwa; Nganda, Gatei Wa; Sani, Samuel Usman; Dieng, Boubacar; Banda, Richard; Ali Pate, Muhammad

Emergency Operations Centers (EOCs) have been credited with driving the recent successes achieved in the Nigeria polio eradication program. EOC concept was also applied to the Ebola virus disease outbreak and is applicable to a range of other public health emergencies. This article outlines the structure and functionality of a typical EOC in addressing public health emergencies in low-resource settings. It ascribes the successful polio and Ebola responses in Nigeria to several factors including political commitment, population willingness to engage, accountability, and operational and strategic changes made by the effective use of an EOC and Incident Management System. In countries such as Nigeria where the central or federal government does not directly hold states accountable, the EOC provides a means to improve performance and use data to hold health workers accountable by using innovative technologies such as geographic position systems, dashboards, and scorecards.

Storage element performance optimization for CMS analysis jobs

NASA Astrophysics Data System (ADS)

Behrmann, G.; Dahlblom, J.; Guldmyr, J.; Happonen, K.; Lindén, T.

2012-12-01

Tier-2 computing sites in the Worldwide Large Hadron Collider Computing Grid (WLCG) host CPU-resources (Compute Element, CE) and storage resources (Storage Element, SE). The vast amount of data that needs to processed from the Large Hadron Collider (LHC) experiments requires good and efficient use of the available resources. Having a good CPU efficiency for the end users analysis jobs requires that the performance of the storage system is able to scale with I/O requests from hundreds or even thousands of simultaneous jobs. In this presentation we report on the work on improving the SE performance at the Helsinki Institute of Physics (HIP) Tier-2 used for the Compact Muon Experiment (CMS) at the LHC. Statistics from CMS grid jobs are collected and stored in the CMS Dashboard for further analysis, which allows for easy performance monitoring by the sites and by the CMS collaboration. As part of the monitoring framework CMS uses the JobRobot which sends every four hours 100 analysis jobs to each site. CMS also uses the HammerCloud tool for site monitoring and stress testing and it has replaced the JobRobot. The performance of the analysis workflow submitted with JobRobot or HammerCloud can be used to track the performance due to site configuration changes, since the analysis workflow is kept the same for all sites and for months in time. The CPU efficiency of the JobRobot jobs at HIP was increased approximately by 50 % to more than 90 %, by tuning the SE and by improvements in the CMSSW and dCache software. The performance of the CMS analysis jobs improved significantly too. Similar work has been done on other CMS Tier-sites, since on average the CPU efficiency for CMSSW jobs has increased during 2011. Better monitoring of the SE allows faster detection of problems, so that the performance level can be kept high. The next storage upgrade at HIP consists of SAS disk enclosures which can be stress tested on demand with HammerCloud workflows, to make sure that the I/O-performance is good.

Towards Application of NASA Standard for Models and Simulations in Aeronautical Design Process

NASA Astrophysics Data System (ADS)

Vincent, Luc; Dunyach, Jean-Claude; Huet, Sandrine; Pelissier, Guillaume; Merlet, Joseph

2012-08-01

Even powerful computational techniques like simulation endure limitations in their validity domain. Consequently using simulation models requires cautions to avoid making biased design decisions for new aeronautical products on the basis of inadequate simulation results. Thus the fidelity, accuracy and validity of simulation models shall be monitored in context all along the design phases to build confidence in achievement of the goals of modelling and simulation.In the CRESCENDO project, we adapt the Credibility Assessment Scale method from NASA standard for models and simulations from space programme to the aircraft design in order to assess the quality of simulations. The proposed eight quality assurance metrics aggregate information to indicate the levels of confidence in results. They are displayed in management dashboard and can secure design trade-off decisions at programme milestones.The application of this technique is illustrated in aircraft design context with specific thermal Finite Elements Analysis. This use case shows how to judge the fitness- for-purpose of simulation as Virtual testing means and then green-light the continuation of Simulation Lifecycle Management (SLM) process.

Analyze Trends: Drinking Water Dashboard | ECHO | US EPA

EPA Pesticide Factsheets

ECHO, Enforcement and Compliance History Online, provides compliance and enforcement information for approximately 800,000 EPA-regulated facilities nationwide. ECHO includes permit, inspection, violation, enforcement action, and penalty information about facilities regulated under the Clean Air Act (CAA) Stationary Source Program, Clean Water Act (CWA) National Pollutant Elimination Discharge System (NPDES), and/or Resource Conservation and Recovery Act (RCRA). Information also is provided on surrounding demographics when available.

NPDES eRule Dashboard User Guide and Data Caveats ...

EPA Pesticide Factsheets

ECHO, Enforcement and Compliance History Online, provides compliance and enforcement information for approximately 800,000 EPA-regulated facilities nationwide. ECHO includes permit, inspection, violation, enforcement action, and penalty information about facilities regulated under the Clean Air Act (CAA) Stationary Source Program, Clean Water Act (CWA) National Pollutant Elimination Discharge System (NPDES), and/or Resource Conservation and Recovery Act (RCRA). Information also is provided on surrounding demographics when available.

Analyze Trends: State Air Dashboard | ECHO | US EPA

EPA Pesticide Factsheets

ECHO, Enforcement and Compliance History Online, provides compliance and enforcement information for approximately 800,000 EPA-regulated facilities nationwide. ECHO includes permit, inspection, violation, enforcement action, and penalty information about facilities regulated under the Clean Air Act (CAA) Stationary Source Program, Clean Water Act (CWA) National Pollutant Elimination Discharge System (NPDES), and/or Resource Conservation and Recovery Act (RCRA). Information also is provided on surrounding demographics when available.

Analyze Trends: State Water Dashboard | ECHO | US EPA

EPA Pesticide Factsheets

ECHO, Enforcement and Compliance History Online, provides compliance and enforcement information for approximately 800,000 EPA-regulated facilities nationwide. ECHO includes permit, inspection, violation, enforcement action, and penalty information about facilities regulated under the Clean Air Act (CAA) Stationary Source Program, Clean Water Act (CWA) National Pollutant Elimination Discharge System (NPDES), and/or Resource Conservation and Recovery Act (RCRA). Information also is provided on surrounding demographics when available.