National Water Quality Laboratory, 1995 services catalog
Timme, P.J.
1995-01-01
This Services Catalog contains information about field supplies and analytical services available from the National Water Quality Laboratory in Denver, Colo., and field supplies available from the Quality Water Service Unit in Ocala, Fla., to members of the U.S. Geological Survey. To assist personnel in the selection of analytical services, this catalog lists sample volume, required containers, applicable concentration range, detection level, precision of analysis, and preservation requirements for samples.
1990 National Water Quality Laboratory Services Catalog
Pritt, Jeffrey; Jones, Berwyn E.
1989-01-01
PREFACE This catalog provides information about analytical services available from the National Water Quality Laboratory (NWQL) to support programs of the Water Resources Division of the U.S. Geological Survey. To assist personnel in the selection of analytical services, the catalog lists cost, sample volume, applicable concentration range, detection level, precision of analysis, and preservation techniques for samples to be submitted for analysis. Prices for services reflect operationa1 costs, the complexity of each analytical procedure, and the costs to ensure analytical quality control. The catalog consists of five parts. Part 1 is a glossary of terminology; Part 2 lists the bottles, containers, solutions, and other materials that are available through the NWQL; Part 3 describes the field processing of samples to be submitted for analysis; Part 4 describes analytical services that are available; and Part 5 contains indices of analytical methodology and Chemical Abstract Services (CAS) numbers. Nomenclature used in the catalog is consistent with WATSTORE and STORET. The user is provided with laboratory codes and schedules that consist of groupings of parameters which are measured together in the NWQL. In cases where more than one analytical range is offered for a single element or compound, different laboratory codes are given. Book 5 of the series 'Techniques of Water Resources Investigations of the U.S. Geological Survey' should be consulted for more information about the analytical procedures included in the tabulations. This catalog supersedes U.S. Geological Survey Open-File Report 86-232 '1986-87-88 National Water Quality Laboratory Services Catalog', October 1985.
Maloney, T.J.; Ludtke, A.S.; Krizman, T.L.
1994-01-01
The US. Geological Survey operates a quality- assurance program based on the analyses of reference samples for the National Water Quality Laboratory in Arvada, Colorado, and the Quality of Water Service Unit in Ocala, Florida. Reference samples containing selected inorganic, nutrient, and low ionic-strength constituents are prepared and disguised as routine samples. The program goal is to determine precision and bias for as many analytical methods offered by the participating laboratories as possible. The samples typically are submitted at a rate of approximately 5 percent of the annual environmental sample load for each constituent. The samples are distributed to the laboratories throughout the year. Analytical data for these reference samples reflect the quality of environmental sample data produced by the laboratories because the samples are processed in the same manner for all steps from sample login through data release. The results are stored permanently in the National Water Data Storage and Retrieval System. During water year 1991, 86 analytical procedures were evaluated at the National Water Quality Laboratory and 37 analytical procedures were evaluated at the Quality of Water Service Unit. An overall evaluation of the inorganic (major ion and trace metal) constituent data for water year 1991 indicated analytical imprecision in the National Water Quality Laboratory for 5 of 67 analytical procedures: aluminum (whole-water recoverable, atomic emission spectrometric, direct-current plasma); calcium (atomic emission spectrometric, direct); fluoride (ion-exchange chromatographic); iron (whole-water recoverable, atomic absorption spectrometric, direct); and sulfate (ion-exchange chromatographic). The results for 11 of 67 analytical procedures had positive or negative bias during water year 1991. Analytical imprecision was indicated in the determination of two of the five National Water Quality Laboratory nutrient constituents: orthophosphate as phosphorus and phosphorus. A negative or positive bias condition was indicated in three of five nutrient constituents. There was acceptable precision and no indication of bias for the 14 low ionic-strength analytical procedures tested in the National Water Quality Laboratory program and for the 32 inorganic and 5 nutrient analytical procedures tested in the Quality of Water Service Unit during water year 1991.
42 CFR 493.1445 - Standard; Laboratory director responsibilities.
Code of Federal Regulations, 2010 CFR
2010-10-01
... quality laboratory services for all aspects of test performance, which includes the preanalytic, analytic... result is found to be unacceptable or unsatisfactory; (5) Ensure that the quality control and quality assessment programs are established and maintained to assure the quality of laboratory services provided and...
service line analytics in the new era.
Spence, Jay; Seargeant, Dan
2015-08-01
To succeed under the value-based business model, hospitals and health systems require effective service line analytics that combine inpatient and outpatient data and that incorporate quality metrics for evaluating clinical operations. When developing a framework for collection, analysis, and dissemination of service line data, healthcare organizations should focus on five key aspects of effective service line analytics: Updated service line definitions. Ability to analyze and trend service line net patient revenues by payment source. Access to accurate service line cost information across multiple dimensions with drill-through capabilities. Ability to redesign key reports based on changing requirements. Clear assignment of accountability.
Factors affecting dental service quality.
Bahadori, Mohammadkarim; Raadabadi, Mehdi; Ravangard, Ramin; Baldacchino, Donia
2015-01-01
Measuring dental clinic service quality is the first and most important factor in improving care. The quality provided plays an important role in patient satisfaction. The purpose of this paper is to identify factors affecting dental service quality from the patients' viewpoint. This cross-sectional, descriptive-analytical study was conducted in a dental clinic in Tehran between January and June 2014. A sample of 385 patients was selected from two work shifts using stratified sampling proportional to size and simple random sampling methods. The data were collected, a self-administered questionnaire designed for the purpose of the study, based on the Parasuraman and Zeithaml's model of service quality which consisted of two parts: the patients' demographic characteristics and a 30-item questionnaire to measure the five dimensions of the service quality. The collected data were analysed using SPSS 21.0 and Amos 18.0 through some descriptive statistics such as mean, standard deviation, as well as analytical methods, including confirmatory factor. Results showed that the correlation coefficients for all dimensions were higher than 0.5. In this model, assurance (regression weight=0.99) and tangibility (regression weight=0.86) had, respectively, the highest and lowest effects on dental service quality. The Parasuraman and Zeithaml's model is suitable to measure quality in dental services. The variables related to dental services quality have been made according to the model. This is a pioneering study that uses Parasuraman and Zeithaml's model and CFA in a dental setting. This study provides useful insights and guidance for dental service quality assurance.
An Artificial Intelligence System to Predict Quality of Service in Banking Organizations
Popovič, Aleš
2016-01-01
Quality of service, that is, the waiting time that customers must endure in order to receive a service, is a critical performance aspect in private and public service organizations. Providing good service quality is particularly important in highly competitive sectors where similar services exist. In this paper, focusing on banking sector, we propose an artificial intelligence system for building a model for the prediction of service quality. While the traditional approach used for building analytical models relies on theories and assumptions about the problem at hand, we propose a novel approach for learning models from actual data. Thus, the proposed approach is not biased by the knowledge that experts may have about the problem, but it is completely based on the available data. The system is based on a recently defined variant of genetic programming that allows practitioners to include the concept of semantics in the search process. This will have beneficial effects on the search process and will produce analytical models that are based only on the data and not on domain-dependent knowledge. PMID:27313604
An Artificial Intelligence System to Predict Quality of Service in Banking Organizations.
Castelli, Mauro; Manzoni, Luca; Popovič, Aleš
2016-01-01
Quality of service, that is, the waiting time that customers must endure in order to receive a service, is a critical performance aspect in private and public service organizations. Providing good service quality is particularly important in highly competitive sectors where similar services exist. In this paper, focusing on banking sector, we propose an artificial intelligence system for building a model for the prediction of service quality. While the traditional approach used for building analytical models relies on theories and assumptions about the problem at hand, we propose a novel approach for learning models from actual data. Thus, the proposed approach is not biased by the knowledge that experts may have about the problem, but it is completely based on the available data. The system is based on a recently defined variant of genetic programming that allows practitioners to include the concept of semantics in the search process. This will have beneficial effects on the search process and will produce analytical models that are based only on the data and not on domain-dependent knowledge.
Ludtke, Amy S.; Woodworth, Mark T.; Marsh, Philip S.
2000-01-01
The U.S. Geological Survey operates a quality-assurance program based on the analyses of reference samples for two laboratories: the National Water Quality Laboratory and the Quality of Water Service Unit. Reference samples that contain selected inorganic, nutrient, and low-level constituents are prepared and submitted to the laboratory as disguised routine samples. The program goal is to estimate precision and bias for as many analytical methods offered by the participating laboratories as possible. Blind reference samples typically are submitted at a rate of 2 to 5 percent of the annual environmental-sample load for each constituent. The samples are distributed to the laboratories throughout the year. The reference samples are subject to the identical laboratory handling, processing, and analytical procedures as those applied to environmental samples and, therefore, have been used as an independent source to verify bias and precision of laboratory analytical methods and ambient water-quality measurements. The results are stored permanently in the National Water Information System and the Blind Sample Project's data base. During water year 1998, 95 analytical procedures were evaluated at the National Water Quality Laboratory and 63 analytical procedures were evaluated at the Quality of Water Service Unit. An overall evaluation of the inorganic and low-level constituent data for water year 1998 indicated 77 of 78 analytical procedures at the National Water Quality Laboratory met the criteria for precision. Silver (dissolved, inductively coupled plasma-mass spectrometry) was determined to be imprecise. Five of 78 analytical procedures showed bias throughout the range of reference samples: chromium (dissolved, inductively coupled plasma-atomic emission spectrometry), dissolved solids (dissolved, gravimetric), lithium (dissolved, inductively coupled plasma-atomic emission spectrometry), silver (dissolved, inductively coupled plasma-mass spectrometry), and zinc (dissolved, inductively coupled plasma-mass spectrometry). At the National Water Quality Laboratory during water year 1998, lack of precision was indicated for 2 of 17 nutrient procedures: ammonia as nitrogen (dissolved, colorimetric) and orthophosphate as phosphorus (dissolved, colorimetric). Bias was indicated throughout the reference sample range for ammonia as nitrogen (dissolved, colorimetric, low level) and nitrate plus nitrite as nitrogen (dissolved, colorimetric, low level). All analytical procedures tested at the Quality of Water Service Unit during water year 1998 met the criteria for precision. One of the 63 analytical procedures indicated a bias throughout the range of reference samples: aluminum (whole-water recoverable, inductively coupled plasma-atomic emission spectrometry, trace).
Environmental Response Laboratory Network (ERLN) Data Submission Requirements
These Environmental Response Laboratory Network specifications are essential to the mission of providing consistent analytical data of know and documented quality for each Analytical Service Request (ASR).
ERIC Educational Resources Information Center
Alhabeeb, Abdurrahman Mohammad
2015-01-01
The goal of this study is measuring the level of quality service offered to students at the college of education at King Saud University, specifically the gap between students' perceptions and expectations of the quality of the offered service. The descriptive analytical approach has been applied in the study using SERVQUAL method to collect data…
Bringing Business Intelligence to Health Information Technology Curriculum
ERIC Educational Resources Information Center
Zheng, Guangzhi; Zhang, Chi; Li, Lei
2015-01-01
Business intelligence (BI) and healthcare analytics are the emerging technologies that provide analytical capability to help healthcare industry improve service quality, reduce cost, and manage risks. However, such component on analytical healthcare data processing is largely missed from current healthcare information technology (HIT) or health…
Analytical Chemistry Division annual progress report for period ending November 30, 1977
DOE Office of Scientific and Technical Information (OSTI.GOV)
Lyon, W.S.
1978-03-01
Activities for the year are summarized in sections on analytical methodology, mass and mass emission spectrometry, analytical services, bio-organic analysis, nuclear and radiochemical analysis, and quality assurance and safety. Presentations of research results in publications and reports are tabulated. (JRD)
About Region 3's Laboratory and Field Services at EPA's Environmental Science Center
Mission & contact information for EPA Region 3's Laboratory and Field Services located at EPA's Environmental Science Center: the Office of Analytical Services and Quality Assurance & Field Inspection Program
Shephard, Mark DS; Gill, Janice P
2006-01-01
Type 2 diabetes mellitus and its major complication, renal disease, represent one of the most significant contemporary health problems facing Australia’s Indigenous Aboriginal People. The Australian Government-funded Quality Assurance for Aboriginal Medical Services Program (QAAMS) provides a framework by which on-site point-of-care testing (POCT) for haemoglobin A1c (HbA1c) and now urine albumin:creatinine ratio (ACR) can be performed to facilitate better diabetes management in Aboriginal medical services. This paper provides updated evidence for the analytical quality of POCT in the QAAMS Program. The median imprecision for point-of-care (POC) HbA1c and urine ACR quality assurance (QA) testing has continually improved over the past six and half years, stabilising at approximately 3% for both analytes and proving analytically sound in Aboriginal hands. For HbA1c, there was no statistical difference between the imprecision achieved by QAAMS and laboratory users of the Bayer DCA 2000 since the QAAMS program commenced (QAAMS CV 3.6% ± 0.52, laboratory CV 3.4% ± 0.42; p = 0.21, paired t-test). The Western Pacific Island of Tonga recently joined the QAAMS HbA1c Program indicating that the QAAMS model can also be applied internationally in other settings where the prevalence of diabetes is high. PMID:17581642
42 CFR 493.643 - Fee for determination of program compliance.
Code of Federal Regulations, 2010 CFR
2010-10-01
... laboratory's scope and volume of testing (excluding tests performed for quality control, quality assurance... procedure or examination for a single analyte. (Tests performed for quality control, quality assurance, and... HUMAN SERVICES (CONTINUED) STANDARDS AND CERTIFICATION LABORATORY REQUIREMENTS General Administration...
7 CFR 91.4 - Kinds of services.
Code of Federal Regulations, 2014 CFR
2014-01-01
... in performing commodity testing services. (c) Quality assurance reviews. The Science and Technology..., Inspections, Marketing Practices), DEPARTMENT OF AGRICULTURE (CONTINUED) COMMODITY LABORATORY TESTING PROGRAMS.... Analytical laboratory testing services under the regulations in this subchapter consist of microbiological...
7 CFR 91.4 - Kinds of services.
Code of Federal Regulations, 2011 CFR
2011-01-01
... in performing commodity testing services. (c) Quality assurance reviews. The Science and Technology..., Inspections, Marketing Practices), DEPARTMENT OF AGRICULTURE (CONTINUED) COMMODITY LABORATORY TESTING PROGRAMS.... Analytical laboratory testing services under the regulations in this subchapter consist of microbiological...
7 CFR 91.4 - Kinds of services.
Code of Federal Regulations, 2012 CFR
2012-01-01
... in performing commodity testing services. (c) Quality assurance reviews. The Science and Technology..., Inspections, Marketing Practices), DEPARTMENT OF AGRICULTURE (CONTINUED) COMMODITY LABORATORY TESTING PROGRAMS.... Analytical laboratory testing services under the regulations in this subchapter consist of microbiological...
7 CFR 91.4 - Kinds of services.
Code of Federal Regulations, 2013 CFR
2013-01-01
... in performing commodity testing services. (c) Quality assurance reviews. The Science and Technology..., Inspections, Marketing Practices), DEPARTMENT OF AGRICULTURE (CONTINUED) COMMODITY LABORATORY TESTING PROGRAMS.... Analytical laboratory testing services under the regulations in this subchapter consist of microbiological...
Coetzee, L M; Cassim, N; Glencross, D K
2015-12-16
The CD4 integrated service delivery model (ITSDM) provides for reasonable access to pathology services across South Africa (SA) by offering three new service tiers that extend services into remote, under-serviced areas. ITSDM identified Pixley ka Seme as such an under-serviced district. To address the poor service delivery in this area, a new ITSDM community (tier 3) laboratory was established in De Aar, SA. Laboratory performance and turnaround time (TAT) were monitored post implementation to assess the impact on local service delivery. Using the National Health Laboratory Service Corporate Data Warehouse, CD4 data were extracted for the period April 2012-July 2013 (n=11,964). Total mean TAT (in hours) was calculated and pre-analytical and analytical components assessed. Ongoing testing volumes, as well as external quality assessment performance across ten trials, were used to indicate post-implementation success. Data were analysed using Stata 12. Prior to the implementation of CD4 testing at De Aar, the total mean TAT was 20.5 hours. This fell to 8.2 hours post implementation, predominantly as a result of a lower pre-analytical mean TAT reducing from a mean of 18.9 to 1.8 hours. The analytical testing TAT remained unchanged after implementation and monthly test volumes increased by up to 20%. External quality assessment indicated adequate performance. Although subjective, questionnaires sent to facilities reported improved service delivery. Establishing CD4 testing in a remote community laboratory substantially reduces overall TAT. Additional community CD4 laboratories should be established in under-serviced areas, especially where laboratory infrastructure is already in place.
A Crowdsensing Based Analytical Framework for Perceptional Degradation of OTT Web Browsing.
Li, Ke; Wang, Hai; Xu, Xiaolong; Du, Yu; Liu, Yuansheng; Ahmad, M Omair
2018-05-15
Service perception analysis is crucial for understanding both user experiences and network quality as well as for maintaining and optimizing of mobile networks. Given the rapid development of mobile Internet and over-the-top (OTT) services, the conventional network-centric mode of network operation and maintenance is no longer effective. Therefore, developing an approach to evaluate and optimizing users' service perceptions has become increasingly important. Meanwhile, the development of a new sensing paradigm, mobile crowdsensing (MCS), makes it possible to evaluate and analyze the user's OTT service perception from end-user's point of view other than from the network side. In this paper, the key factors that impact users' end-to-end OTT web browsing service perception are analyzed by monitoring crowdsourced user perceptions. The intrinsic relationships among the key factors and the interactions between key quality indicators (KQI) are evaluated from several perspectives. Moreover, an analytical framework of perceptional degradation and a detailed algorithm are proposed whose goal is to identify the major factors that impact the perceptional degradation of web browsing service as well as their significance of contribution. Finally, a case study is presented to show the effectiveness of the proposed method using a dataset crowdsensed from a large number of smartphone users in a real mobile network. The proposed analytical framework forms a valuable solution for mobile network maintenance and optimization and can help improve web browsing service perception and network quality.
Errors in the Extra-Analytical Phases of Clinical Chemistry Laboratory Testing.
Zemlin, Annalise E
2018-04-01
The total testing process consists of various phases from the pre-preanalytical to the post-postanalytical phase, the so-called brain-to-brain loop. With improvements in analytical techniques and efficient quality control programmes, most laboratory errors now occur in the extra-analytical phases. There has been recent interest in these errors with numerous publications highlighting their effect on service delivery, patient care and cost. This interest has led to the formation of various working groups whose mission is to develop standardized quality indicators which can be used to measure the performance of service of these phases. This will eventually lead to the development of external quality assessment schemes to monitor these phases in agreement with ISO15189:2012 recommendations. This review focuses on potential errors in the extra-analytical phases of clinical chemistry laboratory testing, some of the studies performed to assess the severity and impact of these errors and processes that are in place to address these errors. The aim of this review is to highlight the importance of these errors for the requesting clinician.
Errors in clinical laboratories or errors in laboratory medicine?
Plebani, Mario
2006-01-01
Laboratory testing is a highly complex process and, although laboratory services are relatively safe, they are not as safe as they could or should be. Clinical laboratories have long focused their attention on quality control methods and quality assessment programs dealing with analytical aspects of testing. However, a growing body of evidence accumulated in recent decades demonstrates that quality in clinical laboratories cannot be assured by merely focusing on purely analytical aspects. The more recent surveys on errors in laboratory medicine conclude that in the delivery of laboratory testing, mistakes occur more frequently before (pre-analytical) and after (post-analytical) the test has been performed. Most errors are due to pre-analytical factors (46-68.2% of total errors), while a high error rate (18.5-47% of total errors) has also been found in the post-analytical phase. Errors due to analytical problems have been significantly reduced over time, but there is evidence that, particularly for immunoassays, interference may have a serious impact on patients. A description of the most frequent and risky pre-, intra- and post-analytical errors and advice on practical steps for measuring and reducing the risk of errors is therefore given in the present paper. Many mistakes in the Total Testing Process are called "laboratory errors", although these may be due to poor communication, action taken by others involved in the testing process (e.g., physicians, nurses and phlebotomists), or poorly designed processes, all of which are beyond the laboratory's control. Likewise, there is evidence that laboratory information is only partially utilized. A recent document from the International Organization for Standardization (ISO) recommends a new, broader definition of the term "laboratory error" and a classification of errors according to different criteria. In a modern approach to total quality, centered on patients' needs and satisfaction, the risk of errors and mistakes in pre- and post-examination steps must be minimized to guarantee the total quality of laboratory services.
Higher Education Quality Assessment Model: Towards Achieving Educational Quality Standard
ERIC Educational Resources Information Center
Noaman, Amin Y.; Ragab, Abdul Hamid M.; Madbouly, Ayman I.; Khedra, Ahmed M.; Fayoumi, Ayman G.
2017-01-01
This paper presents a developed higher education quality assessment model (HEQAM) that can be applied for enhancement of university services. This is because there is no universal unified quality standard model that can be used to assess the quality criteria of higher education institutes. The analytical hierarchy process is used to identify the…
DOE Office of Scientific and Technical Information (OSTI.GOV)
King, A.G.
The Pacific Northwest Laboratory (PNL)/Analytical Chemistry Laboratory (ACL) and the Westinghouse Hanford Company (WHC)/Process Analytical Laboratory (PAL) provide analytical support services to various environmental restoration and waste management projects/programs at Hanford. In response to a US Department of Energy -- Richland Field Office (DOE-RL) audit, which questioned the comparability of analytical methods employed at each laboratory, the Sample Exchange/Exchange (SEE) program was initiated. The SEE Program is a selfassessment program designed to compare analytical methods of the PAL and ACL laboratories using sitespecific waste material. The SEE program is managed by a collaborative, the Quality Assurance Triad (Triad). Triad membershipmore » is made up of representatives from the WHC/PAL, PNL/ACL, and WHC Hanford Analytical Services Management (HASM) organizations. The Triad works together to design/evaluate/implement each phase of the SEE Program.« less
Code of Federal Regulations, 2012 CFR
2012-01-01
..., Marketing Practices), DEPARTMENT OF AGRICULTURE (CONTINUED) COMMODITY LABORATORY TESTING PROGRAMS SERVICES... administrative rules of the Science and Technology of the Agricultural Marketing Service for conducting the analytical testing and laboratory audits with quality assurance reviews. It also contains the fees, charges...
Code of Federal Regulations, 2013 CFR
2013-01-01
..., Marketing Practices), DEPARTMENT OF AGRICULTURE (CONTINUED) COMMODITY LABORATORY TESTING PROGRAMS SERVICES... administrative rules of the Science and Technology of the Agricultural Marketing Service for conducting the analytical testing and laboratory audits with quality assurance reviews. It also contains the fees, charges...
Code of Federal Regulations, 2014 CFR
2014-01-01
..., Marketing Practices), DEPARTMENT OF AGRICULTURE (CONTINUED) COMMODITY LABORATORY TESTING PROGRAMS SERVICES... administrative rules of the Science and Technology of the Agricultural Marketing Service for conducting the analytical testing and laboratory audits with quality assurance reviews. It also contains the fees, charges...
Code of Federal Regulations, 2011 CFR
2011-01-01
..., Marketing Practices), DEPARTMENT OF AGRICULTURE (CONTINUED) COMMODITY LABORATORY TESTING PROGRAMS SERVICES... administrative rules of the Science and Technology of the Agricultural Marketing Service for conducting the analytical testing and laboratory audits with quality assurance reviews. It also contains the fees, charges...
222-S Laboratory Quality Assurance Plan. Revision 1
DOE Office of Scientific and Technical Information (OSTI.GOV)
Meznarich, H.K.
1995-07-31
This Quality Assurance Plan provides,quality assurance (QA) guidance, regulatory QA requirements (e.g., 10 CFR 830.120), and quality control (QC) specifications for analytical service. This document follows the U.S Department of Energy (DOE) issued Hanford Analytical Services Quality Assurance Plan (HASQAP). In addition, this document meets the objectives of the Quality Assurance Program provided in the WHC-CM-4-2, Section 2.1. Quality assurance elements required in the Guidelines and Specifications for Preparing Quality Assurance Program Plans (QAMS-004) and Interim Guidelines and Specifications for Preparing Quality Assurance Project Plans (QAMS-005) from the US Environmental Protection Agency (EPA) are covered throughout this document. A qualitymore » assurance index is provided in the Appendix A. This document also provides and/or identifies the procedural information that governs laboratory operations. The personnel of the 222-S Laboratory and the Standards Laboratory including managers, analysts, QA/QC staff, auditors, and support staff shall use this document as guidance and instructions for their operational and quality assurance activities. Other organizations that conduct activities described in this document for the 222-S Laboratory shall follow this QA/QC document.« less
Quality in laboratory medicine: 50years on.
Plebani, Mario
2017-02-01
The last 50years have seen substantial changes in the landscape of laboratory medicine: its role in modern medicine is in evolution and the quality of laboratory services is changing. The need to control and improve quality in clinical laboratories has grown hand in hand with the growth in technological developments leading to an impressive reduction of analytical errors over time. An essential cause of this impressive improvement has been the introduction and monitoring of quality indicators (QIs) such as the analytical performance specifications (in particular bias and imprecision) based on well-established goals. The evolving landscape of quality and errors in clinical laboratories moved first from analytical errors to all errors performed within the laboratory walls, subsequently to errors in laboratory medicine (including errors in test requesting and result interpretation), and finally, to a focus on errors more frequently associated with adverse events (laboratory-associated errors). After decades in which clinical laboratories have focused on monitoring and improving internal indicators of analytical quality, efficiency and productivity, it is time to shift toward indicators of total quality, clinical effectiveness and patient outcomes. Copyright © 2016 The Canadian Society of Clinical Chemists. Published by Elsevier Inc. All rights reserved.
Quality of Public Hospitals Websites: A Cross-Sectional Analytical Study in Iran.
Salarvand, Shahin; Samadbeik, Mahnaz; Tarrahi, Mohammad Javad; Salarvand, Hamed
2016-04-01
Nowadays, hospitals have turned increasingly towards the Internet and develop their own web presence. Hospital Websites could be operating as effective web resources of information and interactive communication mediums to enhance hospital services to the public. Therefore, the aim of this study was to assess the quality of websites in Tehran's public hospitals. This cross-sectional analysis involved all public hospitals in Iran's capital city, Tehran, with a working website or subsites between April and June, 2014 (N=59). The websites were evaluated using three validated instruments: a localized checklist, Google page rank, and the Alexa traffic ranking. The mentioned checklist consisted of 112 items divided into five sections: technical characteristics, hospital information and facilities, medical services, interactive on-line services and external activities. Data were analyzed using descriptive and analytical statistics. The mean website evaluation score was 45.7 out of 224 for selected public hospitals. All the studied websites were in the weak category based on the earned quality scores. There was no statistically significant association between the website evaluation score with Google page rank (P=0.092), Alexa global traffic rank and Alexa traffic rank in Iran (P>0.05). The hospital websites had a lower quality score in the interactive online services and external activities criteria in comparing to other criteria. Due to the low quality level of the studied websites and the importance of hospital portals in providing information and services on the Internet, the authorities should do precise planning for the appreciable improvement in the quality of hospital websites.
Quality of Public Hospitals Websites: A Cross-Sectional Analytical Study in Iran
Salarvand, Shahin; Samadbeik, Mahnaz; Tarrahi, Mohammad Javad; Salarvand, Hamed
2016-01-01
Introduction: Nowadays, hospitals have turned increasingly towards the Internet and develop their own web presence. Hospital Websites could be operating as effective web resources of information and interactive communication mediums to enhance hospital services to the public. Aim: Therefore, the aim of this study was to assess the quality of websites in Tehran’s public hospitals. Material and methods: This cross-sectional analysis involved all public hospitals in Iran’s capital city, Tehran, with a working website or subsites between April and June, 2014 (N=59). The websites were evaluated using three validated instruments: a localized checklist, Google page rank, and the Alexa traffic ranking. The mentioned checklist consisted of 112 items divided into five sections: technical characteristics, hospital information and facilities, medical services, interactive on-line services and external activities. Data were analyzed using descriptive and analytical statistics. Results: The mean website evaluation score was 45.7 out of 224 for selected public hospitals. All the studied websites were in the weak category based on the earned quality scores. There was no statistically significant association between the website evaluation score with Google page rank (P=0.092), Alexa global traffic rank and Alexa traffic rank in Iran (P>0.05). The hospital websites had a lower quality score in the interactive online services and external activities criteria in comparing to other criteria. Due to the low quality level of the studied websites and the importance of hospital portals in providing information and services on the Internet, the authorities should do precise planning for the appreciable improvement in the quality of hospital websites. PMID:27147806
DOE Office of Scientific and Technical Information (OSTI.GOV)
Lindberg, Michael J.
2010-09-28
Between October 14, 2009 and February 22, 2010 sediment samples were received from 100-BC Decision Unit for geochemical studies. This is an analytical data report for sediments received from CHPRC at the 100 BC 5 OU. The analyses for this project were performed at the 325 building located in the 300 Area of the Hanford Site. The analyses were performed according to Pacific Northwest National Laboratory (PNNL) approved procedures and/or nationally recognized test procedures. The data sets include the sample identification numbers, analytical results, estimated quantification limits (EQL), and quality control data. The preparatory and analytical quality control requirements, calibrationmore » requirements, acceptance criteria, and failure actions are defined in the on-line QA plan 'Conducting Analytical Work in Support of Regulatory Programs' (CAW). This QA plan implements the Hanford Analytical Services Quality Assurance Requirements Documents (HASQARD) for PNNL.« less
ERIC Educational Resources Information Center
Hartnell, Chad A.; Ou, Amy Yi; Kinicki, Angelo
2011-01-01
We apply Quinn and Rohrbaugh's (1983) competing values framework (CVF) as an organizing taxonomy to meta-analytically test hypotheses about the relationship between 3 culture types and 3 major indices of organizational effectiveness (employee attitudes, operational performance [i.e., innovation and product and service quality], and financial…
Bahadori, Mohammadkarim; Ravangard, Ramin; Yaghoubi, Maryam; Alimohammadzadeh, Khalil
2014-01-01
Background: Military hospitals are responsible for preserving, restoring and improving the health of not only armed forces, but also other people. According to the military organizations strategy, which is being a leader and pioneer in all areas, providing quality health services is one of the main goals of the military health care organizations. This study was aimed to evaluate the service quality of selected military hospitals in Iran based on the Joint Commission International (JCI) standards and comparing these hospitals with each other and ranking them using the analytic hierarchy process (AHP) technique in 2013. Materials and Methods: This was a cross-sectional and descriptive study conducted on five military hospitals, selected using the purposive sampling method, in 2013. Required data collected using checklists of accreditation standards and nominal group technique. AHP technique was used for prioritizing. Furthermore, Expert Choice 11.0 was used to analyze the collected data. Results: Among JCI standards, the standards of access to care and continuity of care (weight = 0.122), quality improvement and patient safety (weight = 0.121) and leadership and management (weight = 0.117) had the greatest importance, respectively. Furthermore, in the overall ranking, BGT (weight = 0.369), IHM (0.238), SAU (0.202), IHK (weight = 0.125) and SAB (weight = 0.066) ranked first to fifth, respectively. Conclusion: AHP is an appropriate technique for measuring the overall performance of hospitals and their quality of services. It is a holistic approach that takes all hospital processes into consideration. The results of the present study can be used to improve hospitals performance through identifying areas, which are in need of focus for quality improvement and selecting strategies to improve service quality. PMID:25250364
QoS measurement of workflow-based web service compositions using Colored Petri net.
Nematzadeh, Hossein; Motameni, Homayun; Mohamad, Radziah; Nematzadeh, Zahra
2014-01-01
Workflow-based web service compositions (WB-WSCs) is one of the main composition categories in service oriented architecture (SOA). Eflow, polymorphic process model (PPM), and business process execution language (BPEL) are the main techniques of the category of WB-WSCs. Due to maturity of web services, measuring the quality of composite web services being developed by different techniques becomes one of the most important challenges in today's web environments. Business should try to provide good quality regarding the customers' requirements to a composed web service. Thus, quality of service (QoS) which refers to nonfunctional parameters is important to be measured since the quality degree of a certain web service composition could be achieved. This paper tried to find a deterministic analytical method for dependability and performance measurement using Colored Petri net (CPN) with explicit routing constructs and application of theory of probability. A computer tool called WSET was also developed for modeling and supporting QoS measurement through simulation.
42 CFR 82.2 - What are the basics of dose reconstruction?
Code of Federal Regulations, 2010 CFR
2010-10-01
... Section 82.2 Public Health PUBLIC HEALTH SERVICE, DEPARTMENT OF HEALTH AND HUMAN SERVICES OCCUPATIONAL... conditions and the type, quality, and completeness of data available to characterize the environment. (a) If... information to analytically develop an exposure model. For internal exposures, this model includes such...
42 CFR 493.1283 - Standard: Test records.
Code of Federal Regulations, 2014 CFR
2014-10-01
... 42 Public Health 5 2014-10-01 2014-10-01 false Standard: Test records. 493.1283 Section 493.1283 Public Health CENTERS FOR MEDICARE & MEDICAID SERVICES, DEPARTMENT OF HEALTH AND HUMAN SERVICES (CONTINUED) STANDARDS AND CERTIFICATION LABORATORY REQUIREMENTS Quality System for Nonwaived Testing Analytic Systems § 493.1283 Standard: Test records. (...
Evaluating health service quality: using importance performance analysis.
Izadi, Azar; Jahani, Younes; Rafiei, Sima; Masoud, Ali; Vali, Leila
2017-08-14
Purpose Measuring healthcare service quality provides an objective guide for managers and policy makers to improve their services and patient satisfaction. Consequently, the purpose of this paper is to measure service quality provided to surgical and medical inpatients at Kerman Medical Sciences University (KUMS) in 2015. Design/methodology/approach A descriptive-analytic study, using a cross-sectional method in the KUMS training hospitals, was implemented between October 2 and March 15, 2015. Using stratified random sampling, 268 patients were selected. Data were collected using an importance-performance analysis (IPA) questionnaire, which measures current performance and determines each item's importance from the patients' perspectives. These data indicate overall satisfaction and appropriate practical strategies for managers to plan accordingly. Findings Findings revealed a significant gap between service importance and performance. From the patients' viewpoint, tangibility was the highest priority (mean=3.54), while reliability was given the highest performance (mean=3.02). The least important and lowest performance level was social accountability (mean=1.91 and 1.98, respectively). Practical implications Healthcare managers should focus on patient viewpoints and apply patient comments to solve problems, improve service quality and patient satisfaction. Originality/value The authors applied an IPA questionnaire to measure service quality provided to surgical and medical ward patients. This method identifies and corrects service quality shortcomings and improving service recipient perceptions.
The Joint Committee for Traceability in Laboratory Medicine (JCTLM) - its history and operation.
Jones, Graham R D; Jackson, Craig
2016-01-30
The Joint Committee for Traceability in Laboratory Medicine (JCTLM) was formed to bring together the sciences of metrology, laboratory medicine and laboratory quality management. The aim of this collaboration is to support worldwide comparability and equivalence of measurement results in clinical laboratories for the purpose of improving healthcare. The JCTLM has its origins in the activities of international metrology treaty organizations, professional societies and federations devoted to improving measurement quality in physical, chemical and medical sciences. The three founding organizations, the International Committee for Weights and Measures (CIPM), the International Federation of Clinical Chemistry and Laboratory Medicine (IFCC) and the International Laboratory Accreditation Cooperation (ILAC) are the leaders of this activity. The main service of the JCTLM is a web-based database with a list of reference materials, reference methods and reference measurement services meeting appropriate international standards. This database allows manufacturers to select references for assay traceability and provides support for suppliers of these services. As of mid 2015 the database lists 295 reference materials for 162 analytes, 170 reference measurement procedures for 79 analytes and 130 reference measurement services for 39 analytes. There remains a need for the development and implementation of metrological traceability in many areas of laboratory medicine and the JCTLM will continue to promote these activities into the future. Copyright © 2015 Elsevier B.V. All rights reserved.
Mohebifar, Rafat; Hasani, Hana; Barikani, Ameneh; Rafiei, Sima
2016-08-01
Providing high service quality is one of the main functions of health systems. Measuring service quality is the basic prerequisite for improving quality. The aim of this study was to evaluate the quality of service in teaching hospitals using importance-performance analysis matrix. A descriptive-analytic study was conducted through a cross-sectional method in six academic hospitals of Qazvin, Iran, in 2012. A total of 360 patients contributed to the study. The sampling technique was stratified random sampling. Required data were collected based on a standard questionnaire (SERVQUAL). Data analysis was done through SPSS version 18 statistical software and importance-performance analysis matrix. The results showed a significant gap between importance and performance in all five dimensions of service quality (p < 0.05). In reviewing the gap, "reliability" (2.36) and "assurance" (2.24) dimensions had the highest quality gap and "responsiveness" had the lowest gap (1.97). Also, according to findings, reliability and assurance were in Quadrant (I), empathy was in Quadrant (II), and tangibles and responsiveness were in Quadrant (IV) of the importance-performance matrix. The negative gap in all dimensions of quality shows that quality improvement is necessary in all dimensions. Using quality and diagnosis measurement instruments such as importance-performance analysis will help hospital managers with planning of service quality improvement and achieving long-term goals.
Alpaca, R I Paredes; Migliore, A; Di Rico, R; Canali, Claudia; Rota, Cristina; Trenti, T; Cariani, Elisabetta
2010-01-01
The quality of laboratory data is one of the main factors in guaranteeing efficacy of biological monitoring. To analyze the quality of laboratory data used for biological monitoring of exposed workers. A survey involving 18 companies employing 945 workers in the area of Modena, Italy, was carried out in 2008. Most of the 9 private laboratories receiving biological samples did not perform directly part or all of the laboratory assessments requested, but this was not indicated in the final report. Major problems were observed in the application of internal quality control, and only one laboratory participated in external quality assessment for blood lead measurements. Our results raise major concerns on the traceability and reliability of laboratory assessments performed for biomonitoring of exposed workers. Systematic evaluation of the quality of analytical data would be highly recommendable.
Code of Federal Regulations, 2010 CFR
2010-07-01
...) To improve the quality, accuracy, or completeness of the data or analysis of data contained in the... include the data, analysis, and documentation on which the proposal is based, and, where feasible, include... the petitioner requests access to data from the Postal Service to support the assertions or...
National Water Quality Laboratory - A Profile
Raese, Jon W.
2001-01-01
The U.S. Geological Survey (USGS) National Water Quality Laboratory (NWQL) is a full-service laboratory that specializes in environmental analytical chemistry. The NWQL's primary mission is to support USGS programs requiring environmental analyses that provide consistent methodology for national assessment and trends analysis. The NWQL provides the following: high-quality chemical data; consistent, published, state-of-the-art methodology; extremely low-detection levels; high-volume capability; biological unit for identifying benthic invertebrates; quality assurance for determining long-term water-quality trends; and a professional staff.
ERIC Educational Resources Information Center
Wyman, Steven K.; And Others
This exploratory study establishes analytical tools (based on both technical criteria and user feedback) by which federal Web site administrators may assess the quality of their websites. The study combined qualitative and quantitative data collection techniques to achieve the following objectives: (1) identify and define key issues regarding…
Comans, Tracy A; Currin, Michelle L; Brauer, Sandra G; Haines, Terry P
2011-01-01
To identify factors contributing to reduced quality of life and increased caregiver strain in an older population referred to a community rehabilitation team and to recommend service delivery models. Analytical cross-sectional study arising from baseline assessments from 107 subjects drawn from a randomised controlled trial of community rehabilitation service delivery models. A community rehabilitation team based in Brisbane, Queensland, Australia. Primary outcome variables include quality of life (EQ-5D & VAS) and Carer Strain Index. Predictor variables include participation in functional activities, history of falls, number of medications, number of co-morbidities, depression, environmental hazards, physical function and nutrition. Association between variables assessed using linear regression. Major factors contributing to reduced quality of life were having reduced participation in daily activities, depression, and having poor vision. Having poor nutrition and no longer driving also contributed to poor quality of life. The major factor contributing to increased caregiver strain was reduced participation in daily activities by the older person. Community rehabilitation services working with older populations must adopt models of care that screen for and address a wide range of factors that contribute to poor quality of life and caregiver strain.
Summary Report for the Evaluation of Current QA Processes Within the FRMAC FAL and EPA MERL.
DOE Office of Scientific and Technical Information (OSTI.GOV)
Shanks, Sonoya T.; Redding, Ted; Jaussi, Lynn
The Federal Radiological Monitoring and Assessment Center (FRMAC) relies on accurate and defensible analytical laboratory data to support its mission. Therefore, FRMAC must ensure that the environmental analytical laboratories providing analytical services maintain an ongoing capability to provide accurate analytical results to DOE. It is undeniable that the more Quality Assurance (QA) and Quality Control (QC) measures required of the laboratory, the less resources that are available for analysis of response samples. Being that QA and QC measures in general are understood to comprise a major effort related to a laboratory’s operations, requirements should only be considered if they aremore » deemed “value-added” for the FRMAC mission. This report provides observations of areas for improvement and potential interoperability opportunities in the areas of Batch Quality Control Requirements, Written Communications, Data Review Processes, Data Reporting Processes, along with the lessons learned as they apply to items in the early phase of a response that will be critical for developing a more efficient, integrated response for future interactions between the FRMAC and EPA assets.« less
Hajrahimi, Nafiseh; Dehaghani, Sayed Mehdi Hejazi; Hajrahimi, Nargess; Sarmadi, Sima
2014-01-01
Context: Implementing information technology in the best possible way can bring many advantages such as applying electronic services and facilitating tasks. Therefore, assessment of service providing systems is a way to improve the quality and elevate these systems including e-commerce, e-government, e-banking, and e-learning. Aims: This study was aimed to evaluate the electronic services in the website of Isfahan University of Medical Sciences in order to propose solutions to improve them. Furthermore, we aim to rank the solutions based on the factors that enhance the quality of electronic services by using analytic hierarchy process (AHP) method. Materials and Methods: Non-parametric test was used to assess the quality of electronic services. The assessment of propositions was based on Aqual model and they were prioritized using AHP approach. The AHP approach was used because it directly applies experts’ deductions in the model, and lead to more objective results in the analysis and prioritizing the risks. After evaluating the quality of the electronic services, a multi-criteria decision making frame-work was used to prioritize the proposed solutions. Statistical Analysis Used: Non-parametric tests and AHP approach using Expert Choice software. Results: The results showed that students were satisfied in most of the indicators. Only a few indicators received low satisfaction from students including, design attractiveness, the amount of explanation and details of information, honesty and responsiveness of authorities, and the role of e-services in the user's relationship with university. After interviewing with Information and Communications Technology (ICT) experts at the university, measurement criteria, and solutions to improve the quality were collected. The best solutions were selected by EC software. According to the results, the solution “controlling and improving the process in handling users complaints” is of the utmost importance and authorities have to have it on the website and place great importance on updating this process. Conclusions: Although, 4 out of the 22 indicators used in the test hypothesis were not confirmed, the results show that these assumptions are accepted at 95% confidence level. To improve the quality of electronic services, special attention should be paid to “services interaction.” As the results showed having “controlling and improving the process in handling users complaints” on the website is the first and most important one and the process of “changing brand/factory name/address in the text of the factory license/renewal or modification of manufacturing license/changing the formula” is the least important one. PMID:25540790
Hajrahimi, Nafiseh; Dehaghani, Sayed Mehdi Hejazi; Hajrahimi, Nargess; Sarmadi, Sima
2014-01-01
Implementing information technology in the best possible way can bring many advantages such as applying electronic services and facilitating tasks. Therefore, assessment of service providing systems is a way to improve the quality and elevate these systems including e-commerce, e-government, e-banking, and e-learning. This study was aimed to evaluate the electronic services in the website of Isfahan University of Medical Sciences in order to propose solutions to improve them. Furthermore, we aim to rank the solutions based on the factors that enhance the quality of electronic services by using analytic hierarchy process (AHP) method. Non-parametric test was used to assess the quality of electronic services. The assessment of propositions was based on Aqual model and they were prioritized using AHP approach. The AHP approach was used because it directly applies experts' deductions in the model, and lead to more objective results in the analysis and prioritizing the risks. After evaluating the quality of the electronic services, a multi-criteria decision making frame-work was used to prioritize the proposed solutions. Non-parametric tests and AHP approach using Expert Choice software. The results showed that students were satisfied in most of the indicators. Only a few indicators received low satisfaction from students including, design attractiveness, the amount of explanation and details of information, honesty and responsiveness of authorities, and the role of e-services in the user's relationship with university. After interviewing with Information and Communications Technology (ICT) experts at the university, measurement criteria, and solutions to improve the quality were collected. The best solutions were selected by EC software. According to the results, the solution "controlling and improving the process in handling users complaints" is of the utmost importance and authorities have to have it on the website and place great importance on updating this process. Although, 4 out of the 22 indicators used in the test hypothesis were not confirmed, the results show that these assumptions are accepted at 95% confidence level. To improve the quality of electronic services, special attention should be paid to "services interaction." As the results showed having "controlling and improving the process in handling users complaints" on the website is the first and most important one and the process of "changing brand/factory name/address in the text of the factory license/renewal or modification of manufacturing license/changing the formula" is the least important one.
Rizvi, Zainab; Usmani, Rabia Arshed; Rizvi, Amna; Wazir, Salim; Zahra, Taskeen; Rasool, Hafza
2017-01-01
Quality of any service is the most important aspect for the manufacturer as well as the consumer. The primary objective of any nation's health system is to provide supreme quality health care services to its patients. The objective of this study was to assess the quality of diagnostic fine needle aspiration cytology service in a tertiary care hospital. As Patient's perspectives provide valuable information on quality of process, therefore, patient's perception in terms of satisfaction with the service was measured. In this cross sectional analytical study, 291 patients undergoing fine needle aspiration cytology in Mayo Hospital were selected by systematic sampling technique. Information regarding satisfaction of patients with four dimensions of service quality process, namely "procedure, sterilization, conduct and competency of doctor" was collected through interview on questionnaire. The questionnaire was developed on SERVQUAL model, a measurement tool, for quality assessment of services provided to patients. All items were assessed on 2- point likert scale (0=dissatisfied, 1=satisfied). Frequencies and percentages of satisfied and dissatisfied patients were recorded for each item and all items in each dimension were scored. If the percentage of sum of all item scores of a dimension was ≥60, the dimension was 'good quality'. Whereas <60% was 'poor quality' dimension. Data was analysed using epi-info-3.5.1. Fisher test was applied to check statistical significance. (p-value <0.05). Out of the 4 dimensions of service quality process, Procedure (48.8%), Sterilization (51.5%) and practitioner conduct (50.9%) were perceived as 'poor' by the patients. Only practitioner competency (67.4%) was perceived as 'good'. Comparison of dimensions of service quality scoring with overall level of patient satisfaction revealed that all 4 dimensions were significantly related to patient dissatisfaction (p<.05). The study suggests that service quality of therapeutic and diagnostic procedures in public hospitals should be routinely monitored from the patients' point of view as most aspects of service quality in public hospitals of Pakistan, require improvements. In this manner patient's satisfaction regarding use of services in public hospitals can be made better.
Analytical methods manual for the Mineral Resource Surveys Program, U.S. Geological Survey
Arbogast, Belinda F.
1996-01-01
The analytical methods validated by the Mineral Resource Surveys Program, Geologic Division, is the subject of this manual. This edition replaces the methods portion of Open-File Report 90-668 published in 1990. Newer methods may be used which have been approved by the quality assurance (QA) project and are on file with the QA coordinator.This manual is intended primarily for use by laboratory scientists; this manual can also assist laboratory users to evaluate the data they receive. The analytical methods are written in a step by step approach so that they may be used as a training tool and provide detailed documentation of the procedures for quality assurance. A "Catalog of Services" is available for customer (submitter) use with brief listings of:the element(s)/species determined,method of determination,reference to cite,contact person,summary of the technique,and analyte concentration range.For a copy please contact the Branch office at (303) 236-1800 or fax (303) 236-3200.
A health analytics semantic ETL service for obesity surveillance.
Poulymenopoulou, M; Papakonstantinou, D; Malamateniou, F; Vassilacopoulos, G
2015-01-01
The increasingly large amount of data produced in healthcare (e.g. collected through health information systems such as electronic medical records - EMRs or collected through novel data sources such as personal health records - PHRs, social media, web resources) enable the creation of detailed records about people's health, sentiments and activities (e.g. physical activity, diet, sleep quality) that can be used in the public health area among others. However, despite the transformative potential of big data in public health surveillance there are several challenges in integrating big data. In this paper, the interoperability challenge is tackled and a semantic Extract Transform Load (ETL) service is proposed that seeks to semantically annotate big data to result into valuable data for analysis. This service is considered as part of a health analytics engine on the cloud that interacts with existing healthcare information exchange networks, like the Integrating the Healthcare Enterprise (IHE), PHRs, sensors, mobile applications, and other web resources to retrieve patient health, behavioral and daily activity data. The semantic ETL service aims at semantically integrating big data for use by analytic mechanisms. An illustrative implementation of the service on big data which is potentially relevant to human obesity, enables using appropriate analytic techniques (e.g. machine learning, text mining) that are expected to assist in identifying patterns and contributing factors (e.g. genetic background, social, environmental) for this social phenomenon and, hence, drive health policy changes and promote healthy behaviors where residents live, work, learn, shop and play.
Closing the brain-to-brain loop in laboratory testing.
Plebani, Mario; Lippi, Giuseppe
2011-07-01
Abstract The delivery of laboratory services has been described 40 years ago and defined with the foremost concept of "brain-to-brain turnaround time loop". This concept consists of several processes, including the final step which is the action undertaken on the patient based on laboratory information. Unfortunately, the need for systematic feedback to improve the value of laboratory services has been poorly understood and, even more risky, poorly applied in daily laboratory practice. Currently, major problems arise from the unavailability of consensually accepted quality specifications for the extra-analytical phase of laboratory testing. This, in turn, does not allow clinical laboratories to calculate a budget for the "patient-related total error". The definition and use of the term "total error" refers only to the analytical phase, and should be better defined as "total analytical error" to avoid any confusion and misinterpretation. According to the hierarchical approach to classify strategies to set analytical quality specifications, the "assessment of the effect of analytical performance on specific clinical decision-making" is comprehensively at the top and therefore should be applied as much as possible to address analytical efforts towards effective goals. In addition, an increasing number of laboratories worldwide are adopting risk management strategies such as FMEA, FRACAS, LEAN and Six Sigma since these techniques allow the identification of the most critical steps in the total testing process, and to reduce the patient-related risk of error. As a matter of fact, an increasing number of laboratory professionals recognize the importance of understanding and monitoring any step in the total testing process, including the appropriateness of the test request as well as the appropriate interpretation and utilization of test results.
21 CFR 862.1660 - Quality control material (assayed and unassayed).
Code of Federal Regulations, 2013 CFR
2013-04-01
... SERVICES (CONTINUED) MEDICAL DEVICES CLINICAL CHEMISTRY AND CLINICAL TOXICOLOGY DEVICES Clinical Chemistry... control material (assayed and unassayed) for clinical chemistry is a device intended for medical purposes for use in a test system to estimate test precision and to detect systematic analytical deviations...
21 CFR 862.1660 - Quality control material (assayed and unassayed).
Code of Federal Regulations, 2014 CFR
2014-04-01
... SERVICES (CONTINUED) MEDICAL DEVICES CLINICAL CHEMISTRY AND CLINICAL TOXICOLOGY DEVICES Clinical Chemistry... control material (assayed and unassayed) for clinical chemistry is a device intended for medical purposes for use in a test system to estimate test precision and to detect systematic analytical deviations...
21 CFR 862.1660 - Quality control material (assayed and unassayed).
Code of Federal Regulations, 2012 CFR
2012-04-01
... SERVICES (CONTINUED) MEDICAL DEVICES CLINICAL CHEMISTRY AND CLINICAL TOXICOLOGY DEVICES Clinical Chemistry... control material (assayed and unassayed) for clinical chemistry is a device intended for medical purposes for use in a test system to estimate test precision and to detect systematic analytical deviations...
Evaluating supplier quality performance using analytical hierarchy process
NASA Astrophysics Data System (ADS)
Kalimuthu Rajoo, Shanmugam Sundram; Kasim, Maznah Mat; Ahmad, Nazihah
2013-09-01
This paper elaborates the importance of evaluating supplier quality performance to an organization. Supplier quality performance evaluation reflects the actual performance of the supplier exhibited at customer's end. It is critical in enabling the organization to determine the area of improvement and thereafter works with supplier to close the gaps. Success of the customer partly depends on supplier's quality performance. Key criteria as quality, cost, delivery, technology support and customer service are categorized as main factors in contributing to supplier's quality performance. 18 suppliers' who were manufacturing automotive application parts evaluated in year 2010 using weight point system. There were few suppliers with common rating which led to common ranking observed by few suppliers'. Analytical Hierarchy Process (AHP), a user friendly decision making tool for complex and multi criteria problems was used to evaluate the supplier's quality performance challenging the weight point system that was used for 18 suppliers'. The consistency ratio was checked for criteria and sub-criteria. Final results of AHP obtained with no overlap ratings, therefore yielded a better decision making methodology as compared to weight point rating system.
Child Welfare Worker Caseload: What's Just Right?
ERIC Educational Resources Information Center
Yamatani, Hide; Engel, Rafael; Spjeldnes, Solveig
2009-01-01
This study was designed to establish a caseload standard for child welfare workers. Understanding reasonable workload expectations for child welfare workers is a cornerstone of quality service provision and the recruitment and retention of qualified workers. Because of the analytic complexity of this question, qualitative and quantitative methods…
Science-Driven Computing: NERSC's Plan for 2006-2010
DOE Office of Scientific and Technical Information (OSTI.GOV)
Simon, Horst D.; Kramer, William T.C.; Bailey, David H.
NERSC has developed a five-year strategic plan focusing on three components: Science-Driven Systems, Science-Driven Services, and Science-Driven Analytics. (1) Science-Driven Systems: Balanced introduction of the best new technologies for complete computational systems--computing, storage, networking, visualization and analysis--coupled with the activities necessary to engage vendors in addressing the DOE computational science requirements in their future roadmaps. (2) Science-Driven Services: The entire range of support activities, from high-quality operations and user services to direct scientific support, that enable a broad range of scientists to effectively use NERSC systems in their research. NERSC will concentrate on resources needed to realize the promise ofmore » the new highly scalable architectures for scientific discovery in multidisciplinary computational science projects. (3) Science-Driven Analytics: The architectural and systems enhancements and services required to integrate NERSC's powerful computational and storage resources to provide scientists with new tools to effectively manipulate, visualize, and analyze the huge data sets derived from simulations and experiments.« less
Quality in the molecular microbiology laboratory.
Wallace, Paul S; MacKay, William G
2013-01-01
In the clinical microbiology laboratory advances in nucleic acid detection, quantification, and sequence analysis have led to considerable improvements in the diagnosis, management, and monitoring of infectious diseases. Molecular diagnostic methods are routinely used to make clinical decisions based on when and how to treat a patient as well as monitor the effectiveness of a therapeutic regime and identify any potential drug resistant strains that may impact on the long term patient treatment program. Therefore, confidence in the reliability of the result provided by the laboratory service to the clinician is essential for patient treatment. Hence, suitable quality assurance and quality control measures are important to ensure that the laboratory methods and service meet the necessary regulatory requirements both at the national and international level. In essence, the modern clinical microbiology laboratory ensures the appropriateness of its services through a quality management system that monitors all aspects of the laboratory service pre- and post-analytical-from patient sample receipt to reporting of results, from checking and upholding staff competency within the laboratory to identifying areas for quality improvements within the service offered. For most European based clinical microbiology laboratories this means following the common International Standard Organization (ISO9001) framework and ISO15189 which sets out the quality management requirements for the medical laboratory (BS EN ISO 15189 (2003) Medical laboratories-particular requirements for quality and competence. British Standards Institute, Bristol, UK). In the United States clinical laboratories performing human diagnostic tests are regulated by the Centers for Medicare and Medicaid Services (CMS) following the requirements within the Clinical Laboratory Improvement Amendments document 1988 (CLIA-88). This chapter focuses on the key quality assurance and quality control requirements within the modern microbiology laboratory providing molecular diagnostics.
Quality-of-care research in mental health: responding to the challenge.
McGlynn, E A; Norquist, G S; Wells, K B; Sullivan, G; Liberman, R P
1988-01-01
Quality-of-care research in mental health is in the developmental stages, which affords an opportunity to take an integrative approach, building on principles from efficacy, effectiveness, quality assessment, and quality assurance research. We propose an analytic strategy for designing research on the quality of mental health services using an adaptation of the structure, process, and outcome classification scheme. As a concrete illustration of our approach, we discuss research on a particular target population-patients with chronic schizophrenia. Future research should focus on developing models of treatment, establishing criteria and standards for outcomes and processes, and gathering data on community practices.
Characterizing the Quality Workforce in Private U.S. Child and Family Behavioral Health Agencies.
McMillen, J Curtis; Raffol, Matthew
2016-09-01
Behavioral health agencies have been encouraged to monitor performance and improve service quality. This paper characterizes the workforce charged with these tasks through a national survey of 238 behavioral health quality professionals. A latent class analysis suggests only 30 % of these workers report skills in both basic research and quality-specific skills. Respondents wanted to learn a variety of research and data analytic skills. The results call into question the quality of data collected in behavioral health agencies and the conclusions agencies are drawing from their data. Professional school and continuing education programs are needed to prepare this workforce.
An Approach for Quality of Service Management
1998-10-01
architecture enables us to quantitatively measure QoS, and to analytically plan and allocate resource. This work was supported in part by the Defense...in their requirements for the rate of services and resources available to them at the time of use of the application systems. Therefore there is an...system should be able to reconcile these different demands to maximize the user’s preference and to make the most effective use of the system. So it
Midwifery-led care embedded within primary care: consumer satisfaction with a model in New Zealand.
Pullon, Sue; Gray, Ben; Steinmetz, Monika; Molineux, Claire
2014-12-01
Providing quality maternity care for high-needs, socially deprived women from ethnic minority groups is challenging. Consumer satisfaction with maternity services is an important aspect of service evaluation for this group. This pilot study aimed to investigate the feasibility of using focus groups and interviews to gauge consumer satisfaction of maternity care by high-needs women, and to explore their perceptions of the Newtown Union Health Service (NUHS) model of a midwifery-led service embedded in primary care in Wellington, New Zealand (NZ). Following a previous audit of consumer satisfaction surveys collected over a six-year period, a qualitative pilot study using a thematic analytic approach was conducted at the NUHS in late 2011. The study assessed use of focus groups and interviews, interpreted where necessary, and considered the experiences reported by women about the model of care. Interviews and focus groups were successfully conducted with 11 women: two NZ European (individual interviews), six Cambodian (five in a focus group, one interview), and three Samoan (focus group). Using a thematic analytic approach, key themes identified from the focus group and interviews were: issues with survey form-filling; importance of accessibility and information; and relationships and communication with the midwifery team. Interviews and focus groups were well received, and indicated positive endorsement of the model of care. They also revealed some hitherto unknown concerns. Good quality feedback about satisfaction with a range of maternal and child health services helps service providers to provide the best possible start in life for children in high-needs families.
Hong, Ying; Liao, Hui; Hu, Jia; Jiang, Kaifeng
2013-03-01
Service climate captures employees' consensual perceptions of organizations' emphasis on service quality. Although many studies have examined the foundation issues and outcomes of service climate, there is a lack of a comprehensive model explicating the antecedents, outcomes, and moderators of service climate. The current study fills this void in the literature. By conducting a meta-analysis of 58 independent samples (N = 9,363), we found support for service climate as a critical linkage between internal and external service parameters. In addition, we found differential effects of service-oriented versus general human resource practices and leadership on service climate, as well as disparate impacts of service climate contingent on types of service, measures of service climate, and sources of rating. Research and practical implications are discussed.
Jobin, Gilles; Gagnon, Marie Pierre; Candas, Bernard; Dubé, Catherine; Ben Abdeljelil, Anis; Grenier, Sonya
2010-11-02
Colorectal cancer (CRC) represents a serious and growing health problem in Canada. Colonoscopy is used for screening and diagnosis of symptomatic or high CRC risk individuals. Although a number of countries are now implementing quality colonoscopy services, knowledge synthesis of barriers and facilitators perceived by healthcare professionals and patients during implementation has not been carried out. In addition, the perspectives of various stakeholders towards the implementation of quality colonoscopy services and the need of an efficient organisation of such services have been reported in the literature but have not been synthesised yet. The present study aims to produce a comprehensive synthesis of actual knowledge on the barriers and facilitators perceived by all stakeholders to the implementation of quality colonoscopy services in Canada. First, we will conduct a comprehensive review of the scientific literature and other published documentation on the barriers and facilitators to implementing quality colonoscopy services. Standardised literature searches and data extraction methods will be used. The quality of the studies and their relevance to informing decisions on colonoscopy services implementation will be assessed. For each group of users identified, barriers and facilitators will be categorised and compiled using narrative synthesis and meta-analytical techniques. The principle factors identified for each group of users will then be validated for its applicability to various Canadian contexts using the Delphi study method. Following this study, a set of strategies will be identified to inform decision makers involved in the implementation of quality colonoscopy services across Canadian jurisdictions. This study will be the first to systematically summarise the barriers and facilitators to implementation of quality colonoscopy services perceived by different groups and to consider the local contexts in order to ensure the applicability of this knowledge to the particular realities of various Canadian jurisdictions. Linkages with strategic partners and decision makers in the realisation of this project will favour the utilisation of its results to support strategies for implementing quality colonoscopy services and CRC screening programs in the Canadian health system.
Environmental and social risks: defensive National Environmental Policy Act in the US Forest Service
Michael J. Mortimer; Marc J. Stern; Robert W. Malmsheimer; Dale J. Blahna; Lee K. Cerveny; David N. Seesholtz
2011-01-01
The National Environmental Policy Act (NEPA) and its accompanying regulations provide a spectrum of alternative analytical pathways for federal agencies proposing major actions that might significantly impact the human environment. Although guidance from the President's council on Environmental Quality suggests the decision to develop an environmental impact...
This project puts the U.S. Environmental Protection Agency (EPA) into a unique position of being able to bring analytical tools to bear to solve or anticipate future drinking water infrastructure water quality and metallic or cement material performance problems, for which little...
Quality Assurance of RNA Expression Profiling in Clinical Laboratories
Tang, Weihua; Hu, Zhiyuan; Muallem, Hind; Gulley, Margaret L.
2012-01-01
RNA expression profiles are increasingly used to diagnose and classify disease, based on expression patterns of as many as several thousand RNAs. To ensure quality of expression profiling services in clinical settings, a standard operating procedure incorporates multiple quality indicators and controls, beginning with preanalytic specimen preparation and proceeding thorough analysis, interpretation, and reporting. Before testing, histopathological examination of each cellular specimen, along with optional cell enrichment procedures, ensures adequacy of the input tissue. Other tactics include endogenous controls to evaluate adequacy of RNA and exogenous or spiked controls to evaluate run- and patient-specific performance of the test system, respectively. Unique aspects of quality assurance for array-based tests include controls for the pertinent outcome signatures that often supersede controls for each individual analyte, built-in redundancy for critical analytes or biochemical pathways, and software-supported scrutiny of abundant data by a laboratory physician who interprets the findings in a manner facilitating appropriate medical intervention. Access to high-quality reagents, instruments, and software from commercial sources promotes standardization and adoption in clinical settings, once an assay is vetted in validation studies as being analytically sound and clinically useful. Careful attention to the well-honed principles of laboratory medicine, along with guidance from government and professional groups on strategies to preserve RNA and manage large data sets, promotes clinical-grade assay performance. PMID:22020152
Oliaee, Zohreh; Jabbari, Alireza; Ehsanpour, Soheila
2016-01-01
Quality of care is of great importance in health services as these services have the important mission to preserve health, and to give care to the society. The present study aimed to investigate the quality of midwifery services from the viewpoint of the clients, under coverage of health care centers in Isfahan, through SERVQUAL model. This descriptive and analytical study was conducted on 218 subjects in 2014. Study population comprised the women referring to midwifery services clinics in health care centers in Isfahan. Data of the subjects (n = 218) were collected by SERVQUAL model containing the dimensions of tangibles, reliability, responsiveness, assurance, and empathy. Data were analyzed by paired t-test, Spearman and Pearson correlation coefficients, and independent t-test through SPSS 20. There was a negative gap in all five relevant dimensions of giving services. The widest gap was in the mean of dimension of tangibles (-1.5), and the narrowest gap was in the dimension of assurance (-0.9). There was no significant association between the scores of expectations and perceptions, and age, education level, occupation, and marital status. The obtained negative gap showed that the level of service receivers' perception from existing condition was far from their expectation, and there was a wide gap between attaining their satisfaction with midwifery services and their expectation and reaching their appropriate level of services.
Asefi, Fariba; Delaram, Masoumeh; Deris, Fatemeh
2017-04-01
Awareness of students' opinions about the various aspects of training provided is an essential factor to evaluate the quality of education. The aim of this study was to determine the gap between the students' expectations and perceptions from the educational services provided to them in the School of Nursing and Midwifery in Shahrekord University of Medical Sciences. In this cross-sectional study, 320 students were selected by stratified random sampling method and data were collected by SERVQUAL questionnaire to examine the areas of assurance, responsiveness, empathy, tangibles and confidence. Data analysis was conducted by descriptive (frequency, percentage, mean±SD) and analytical (paired t-test, independent t-test and One-Way ANOVA) statistics in SPSS 20. The mean scores of the students' expectations and perceptions of the educational services delivered to them were 4.34±0.63 and 3.56±0.68, respectively, with a significant, negative gap (-0.77±0.77, p<0.001). The lowest gap of quality was derived for assurance (-0.65) followed by reliability (-0.69), accountability (-0.74), and empathy (-0.81), and the greatest gap observed in tangibles (-0.96). A negative gap was observed between the students' expectations and perceptions of the quality of educational services delivered to them. This means that the quality of services delivered to students was less than what they expected. The highest gap was related to the tangibles. In order to improve the educational services, paying attention to different areas of quality of educational services, especially, the tangibles, is necessary.
Past, present, and future of water data delivery from the U.S. Geological Survey
Hirsch, Robert M.; Fisher, Gary T.
2014-01-01
We present an overview of national water databases managed by the U.S. Geological Survey, including surface-water, groundwater, water-quality, and water-use data. These are readily accessible to users through web interfaces and data services. Multiple perspectives of data are provided, including search and retrieval of real-time data and historical data, on-demand current conditions and alert services, data compilations, spatial representations, analytical products, and availability of data across multiple agencies.
Healthcare predictive analytics: An overview with a focus on Saudi Arabia.
Alharthi, Hana
2018-03-08
Despite a newfound wealth of data and information, the healthcare sector is lacking in actionable knowledge. This is largely because healthcare data, though plentiful, tends to be inherently complex and fragmented. Health data analytics, with an emphasis on predictive analytics, is emerging as a transformative tool that can enable more proactive and preventative treatment options. This review considers the ways in which predictive analytics has been applied in the for-profit business sector to generate well-timed and accurate predictions of key outcomes, with a focus on key features that may be applicable to healthcare-specific applications. Published medical research presenting assessments of predictive analytics technology in medical applications are reviewed, with particular emphasis on how hospitals have integrated predictive analytics into their day-to-day healthcare services to improve quality of care. This review also highlights the numerous challenges of implementing predictive analytics in healthcare settings and concludes with a discussion of current efforts to implement healthcare data analytics in the developing country, Saudi Arabia. Copyright © 2018 The Author. Published by Elsevier Ltd.. All rights reserved.
Shafii, Milad; Rafiei, Sima; Abooee, Fatemeh; Bahrami, Mohammad Amin; Nouhi, Mojtaba; Lotfi, Farhad; Khanjankhani, Khatere
2016-08-01
Hospitals as integrated parts of the wide-ranging health care systems have dominant focus on health care provision to meet, maintain and promote people's health needs of a community. This study aimed to assess the service quality of teaching hospitals of Yazd University of Medical Sciences using Fuzzy Analytical Hierarchy Process (FAHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). A literature review and a qualitative method were used to obtain experts' viewpoints about the quality dimensions of hospital services to design a questionnaire. Then, using a self-made questionnaire, perceptions of 300 patients about the quality of delivered services were gathered. Finally, FAHP was applied to weigh each quality dimension and TOPSIS method to rank hospital wards. Six dimensions including responsiveness, assurance, security, tangibles, health communication and Patient orientation were identified as affecting aspects of hospital services quality among which, security and tangibles got the highest and lowest importance respectively (0.25406, 0.06883). Findings also revealed that in hospital A, orthopedics and ophthalmology wards obtained the highest score in terms of quality while cardiology department got the lowest ranking (0.954, 0.323). In hospital B, the highest and the lowest ranking was belonged to cardiology and surgical wards (0.895, 0.00) while in hospital C, surgical units were rated higher than internal wards (0.959, 0.851). Findings emphasized that the security dimension got the lowest ranking among SERVQUAL facets in studied hospitals. This requires hospital executives to pay special attention to the issue of patients' security and plan effectively for its promotion.
Development of a framework of quality assurance practices for a radon passive dosemeter service.
D'Alessandro, M; Leonardi, F; Tonnarini, S; Trevisi, R; Veschetti, M
2010-06-01
Etched track detectors are widely used for the detection of radon and its decay products. The reliability of radon measurement performed with such devices requires that laboratories producing analytical data are able to provide results of the required quality. The need for uniform results from laboratories at an international level therefore requires the implementation of a quality assurance programme, the harmonization of criteria, sampling procedures, calculations and the reporting of results, agreed on the basis of fundamental principles and international standards. The quality assurance programme described here is the first step on the way to ISO/IEC 17025 certification for the RI-RN (ISPESL) laboratory.
Stakeholder perspectives on decision-analytic modeling frameworks to assess genetic services policy.
Guzauskas, Gregory F; Garrison, Louis P; Stock, Jacquie; Au, Sylvia; Doyle, Debra Lochner; Veenstra, David L
2013-01-01
Genetic services policymakers and insurers often make coverage decisions in the absence of complete evidence of clinical utility and under budget constraints. We evaluated genetic services stakeholder opinions on the potential usefulness of decision-analytic modeling to inform coverage decisions, and asked them to identify genetic tests for decision-analytic modeling studies. We presented an overview of decision-analytic modeling to members of the Western States Genetic Services Collaborative Reimbursement Work Group and state Medicaid representatives and conducted directed content analysis and an anonymous survey to gauge their attitudes toward decision-analytic modeling. Participants also identified and prioritized genetic services for prospective decision-analytic evaluation. Participants expressed dissatisfaction with current processes for evaluating insurance coverage of genetic services. Some participants expressed uncertainty about their comprehension of decision-analytic modeling techniques. All stakeholders reported openness to using decision-analytic modeling for genetic services assessments. Participants were most interested in application of decision-analytic concepts to multiple-disorder testing platforms, such as next-generation sequencing and chromosomal microarray. Decision-analytic modeling approaches may provide a useful decision tool to genetic services stakeholders and Medicaid decision-makers.
Alimohammadzadeh, Khalil; Bahadori, Mohammadkarim; Hassani, Fariba
2016-01-01
Radiology department as a service provider organization requires realization of quality concept concerning service provisioning knowledge, satisfaction and all issues relating to the customer as well as quality assurance and improvement issues. At present, radiology departments in hospitals are regarded as income generating units and they should continuously seek performance improvement so that they can survive in the changing and competitive environment of the health care sector. The aim of this study was to propose a method for ranking of radiology departments in selected hospitals of Tehran city using analytical hierarchical process (AHP) and quality evaluation of their service in 2015. This study was an applied and cross-sectional study, carried out in radiology departments of 6 Tehran educational hospitals in 2015. The hospitals were selected using non-probability and purposeful method. Data gathering was performed using customized joint commission international (JCI) standards. Expert Choice 10.0 software was used for data analysis. AHP method was used for prioritization. "Management and empowerment of human resources'' (weight = 0.465) and "requirements and facilities" (weight = 0.139) were of highest and lowest significance respectively in the overall ranking of the hospitals. MS (weight = 0.316), MD (weight = 0.259), AT (weight = 0.14), TS (weight = 0.108), MO (weight = 0.095), and LH (0.082) achieved the first to sixth rankings respectively. The use of AHP method can be promising for fostering the evaluation method and subsequently promotion of the efficiency and effectiveness of the radiology departments. The present model can fill in the gap in the accreditation system of the country's hospitals in respect with ranking and comparing them considering the significance and value of each individual criteria and standard. Accordingly, it can predict an integration of qualitative and quantitative criteria involved and thereby take a decisive step towards further efficiency and effectiveness of the health care evaluation systems.
Alimohammadzadeh, Khalil; Bahadori, Mohammadkarim; Hassani, Fariba
2016-01-01
Background: Radiology department as a service provider organization requires realization of quality concept concerning service provisioning knowledge, satisfaction and all issues relating to the customer as well as quality assurance and improvement issues. At present, radiology departments in hospitals are regarded as income generating units and they should continuously seek performance improvement so that they can survive in the changing and competitive environment of the health care sector. Objectives: The aim of this study was to propose a method for ranking of radiology departments in selected hospitals of Tehran city using analytical hierarchical process (AHP) and quality evaluation of their service in 2015. Materials and Methods: This study was an applied and cross-sectional study, carried out in radiology departments of 6 Tehran educational hospitals in 2015. The hospitals were selected using non-probability and purposeful method. Data gathering was performed using customized joint commission international (JCI) standards. Expert Choice 10.0 software was used for data analysis. AHP method was used for prioritization. Results: “Management and empowerment of human resources’’ (weight = 0.465) and “requirements and facilities” (weight = 0.139) were of highest and lowest significance respectively in the overall ranking of the hospitals. MS (weight = 0.316), MD (weight = 0.259), AT (weight = 0.14), TS (weight = 0.108), MO (weight = 0.095), and LH (0.082) achieved the first to sixth rankings respectively. Conclusion: The use of AHP method can be promising for fostering the evaluation method and subsequently promotion of the efficiency and effectiveness of the radiology departments. The present model can fill in the gap in the accreditation system of the country’s hospitals in respect with ranking and comparing them considering the significance and value of each individual criteria and standard. Accordingly, it can predict an integration of qualitative and quantitative criteria involved and thereby take a decisive step towards further efficiency and effectiveness of the health care evaluation systems. PMID:27127577
User services available from USDA'S aerial photography field office
NASA Technical Reports Server (NTRS)
Dickson, R. A.
1975-01-01
APFO furnishes LANDSAT imagery and supporting NASA aircraft imagery to NASA-funded principal investigators who are working within the agriculture discipline. The office holds and reproduces Skylab imagery and a variety of aircraft photography (including infrared) from various government agencies. Available products are listed. Other topics discussed include quality control of photographic materials, analytical aerotriangulation, and photographic processes.
[The Scope, Quality and Safety Requirements of Drug Abuse Testing].
Küme, Tuncay; Karakükcü, Çiğdem; Pınar, Aslı; Coşkunol, Hakan
2017-01-01
The aim of this review is to inform about the scopes and requirements of drug abuse testing. Drug abuse testing is one of the tools for determination of drug use. It must fulfill the quality and safety requirements in judgmental legal and administrative decisions. Drug abuse testing must fulfill some requirements like selection of the appropriate test matrix, appropriate screening test panel, sampling in detection window, patient consent, identification of the donor, appropriate collection site, sample collection with observation, identification and control of the sample, specimen custody chain in preanalytical phase; analysis in authorized laboratories, specimen validity tests, reliable testing METHODS, strict quality control, two-step analysis in analytical phase; storage of the split specimen, confirmation of the split specimen in the objection, result custody chain, appropriate cut-off concentration, the appropriate interpretation of the result in postanalytical phase. The workflow and analytical processes of drug abuse testing are explained in last regulation of the Department of Medical Laboratory Services, Ministry of Health in Turkey. The clinical physicians have to know and apply the quality and safety requirements in drug abuse testing according to last regulations in Turkey.
Analytical quality by design: a tool for regulatory flexibility and robust analytics.
Peraman, Ramalingam; Bhadraya, Kalva; Padmanabha Reddy, Yiragamreddy
2015-01-01
Very recently, Food and Drug Administration (FDA) has approved a few new drug applications (NDA) with regulatory flexibility for quality by design (QbD) based analytical approach. The concept of QbD applied to analytical method development is known now as AQbD (analytical quality by design). It allows the analytical method for movement within method operable design region (MODR). Unlike current methods, analytical method developed using analytical quality by design (AQbD) approach reduces the number of out-of-trend (OOT) results and out-of-specification (OOS) results due to the robustness of the method within the region. It is a current trend among pharmaceutical industry to implement analytical quality by design (AQbD) in method development process as a part of risk management, pharmaceutical development, and pharmaceutical quality system (ICH Q10). Owing to the lack explanatory reviews, this paper has been communicated to discuss different views of analytical scientists about implementation of AQbD in pharmaceutical quality system and also to correlate with product quality by design and pharmaceutical analytical technology (PAT).
Analytical Quality by Design: A Tool for Regulatory Flexibility and Robust Analytics
Bhadraya, Kalva; Padmanabha Reddy, Yiragamreddy
2015-01-01
Very recently, Food and Drug Administration (FDA) has approved a few new drug applications (NDA) with regulatory flexibility for quality by design (QbD) based analytical approach. The concept of QbD applied to analytical method development is known now as AQbD (analytical quality by design). It allows the analytical method for movement within method operable design region (MODR). Unlike current methods, analytical method developed using analytical quality by design (AQbD) approach reduces the number of out-of-trend (OOT) results and out-of-specification (OOS) results due to the robustness of the method within the region. It is a current trend among pharmaceutical industry to implement analytical quality by design (AQbD) in method development process as a part of risk management, pharmaceutical development, and pharmaceutical quality system (ICH Q10). Owing to the lack explanatory reviews, this paper has been communicated to discuss different views of analytical scientists about implementation of AQbD in pharmaceutical quality system and also to correlate with product quality by design and pharmaceutical analytical technology (PAT). PMID:25722723
Johnston, Lisa G; Hakim, Avi J; Dittrich, Samantha; Burnett, Janet; Kim, Evelyn; White, Richard G
2016-08-01
Reporting key details of respondent-driven sampling (RDS) survey implementation and analysis is essential for assessing the quality of RDS surveys. RDS is both a recruitment and analytic method and, as such, it is important to adequately describe both aspects in publications. We extracted data from peer-reviewed literature published through September, 2013 that reported collected biological specimens using RDS. We identified 151 eligible peer-reviewed articles describing 222 surveys conducted in seven regions throughout the world. Most published surveys reported basic implementation information such as survey city, country, year, population sampled, interview method, and final sample size. However, many surveys did not report essential methodological and analytical information for assessing RDS survey quality, including number of recruitment sites, seeds at start and end, maximum number of waves, and whether data were adjusted for network size. Understanding the quality of data collection and analysis in RDS is useful for effectively planning public health service delivery and funding priorities.
NASA Astrophysics Data System (ADS)
Various papers on global telecommunications are presented. The general topics addressed include: multiservice integration with optical fibers, multicompany owned telecommunication networks, softworks quality and reliability, advanced on-board processing, impact of new services and systems on operations and maintenance, analytical studies of protocols for data communication networks, topics in packet radio networking, CCITT No. 7 to support new services, document processing and communication, antenna technology and system aspects in satellite communications. Also considered are: communication systems modelling methodology, experimental integrated local area voice/data nets, spread spectrum communications, motion video at the DS-0 rate, optical and data communications, intelligent work stations, switch performance analysis, novel radio communication systems, wireless local networks, ISDN services, LAN communication protocols, user-system interface, radio propagation and performance, mobile satellite system, software for computer networks, VLSI for ISDN terminals, quality management, man-machine interfaces in switching, and local area network performance.
42 CFR 493.1289 - Standard: Analytic systems quality assessment.
Code of Federal Regulations, 2010 CFR
2010-10-01
... 42 Public Health 5 2010-10-01 2010-10-01 false Standard: Analytic systems quality assessment. 493... Nonwaived Testing Analytic Systems § 493.1289 Standard: Analytic systems quality assessment. (a) The... through 493.1283. (b) The analytic systems quality assessment must include a review of the effectiveness...
Oliaee, Zohreh; Jabbari, Alireza; Ehsanpour, Soheila
2016-01-01
Background: Quality of care is of great importance in health services as these services have the important mission to preserve health, and to give care to the society. The present study aimed to investigate the quality of midwifery services from the viewpoint of the clients, under coverage of health care centers in Isfahan, through SERVQUAL model. Materials and Methods: This descriptive and analytical study was conducted on 218 subjects in 2014. Study population comprised the women referring to midwifery services clinics in health care centers in Isfahan. Data of the subjects (n = 218) were collected by SERVQUAL model containing the dimensions of tangibles, reliability, responsiveness, assurance, and empathy. Data were analyzed by paired t-test, Spearman and Pearson correlation coefficients, and independent t-test through SPSS 20. Results: There was a negative gap in all five relevant dimensions of giving services. The widest gap was in the mean of dimension of tangibles (−1.5), and the narrowest gap was in the dimension of assurance (−0.9). There was no significant association between the scores of expectations and perceptions, and age, education level, occupation, and marital status. Conclusions: The obtained negative gap showed that the level of service receivers' perception from existing condition was far from their expectation, and there was a wide gap between attaining their satisfaction with midwifery services and their expectation and reaching their appropriate level of services. PMID:27186207
Quality indicators in laboratory medicine: a fundamental tool for quality and patient safety.
Plebani, Mario; Sciacovelli, Laura; Marinova, Mariela; Marcuccitti, Jessica; Chiozza, Maria Laura
2013-09-01
The identification of reliable quality indicators (QIs) is a crucial step in enabling users to quantify the quality of laboratory services. The current lack of attention to extra-laboratory factors is in stark contrast with the body of evidence pointing to the multitude of errors that continue to occur in the pre- and post-analytical phases. Different QIs and terminologies are currently used and, therefore, there is the need to harmonize proposed QIs. A model of quality indicators (MQI) has been consensually developed by a group of clinical laboratories according to a project launched by a working group of the International Federation of Clinical Chemistry and Laboratory Medicine (IFCC). The model includes 57 QIs related to key processes (35 pre-, 7 intra- and 15 post-analytical phases) and 3 to support processes. The developed MQI and the data collected provide evidence of the feasibility of the project to harmonize currently available QIs, but further efforts should be done to involve more clinical laboratories and to collect a more consistent amount of data. Copyright © 2012 The Canadian Society of Clinical Chemists. Published by Elsevier Inc. All rights reserved.
Mahrous, Mohamed Saad
2014-01-01
A systematic and rigorous implementation of quality improvement processes is likely to improve the well-being of staff members and heighten their job satisfaction. Assessing professionals' perceptions of health care quality should lead to the betterment of health care services. In Saudi Arabia, no previous studies examine how university health professionals view health care quality concepts. A cross-sectional analytical study employing a self-administered questionnaire with 43 statements assessing quality perceptions of academic health care professionals was used. Despite the agreement of health professionals on numerous quality concepts addressed in this study, there was insufficient agreement on 10 core quality concepts, 3 of which were the following: "quality focuses on customers" (50%), "quality is tangible and therefore measurable" (29.3%), and "quality is data-driven" (62%). Hence, providing health professionals with relevant training likely will generate a better understanding of quality concepts and optimize their performance.
Mudumbai, Seshadri; Ayer, Ferenc; Stefanko, Jerry
2017-08-01
Health care facilities are implementing analytics platforms as a way to document quality of care. However, few gap analyses exist on platforms specifically designed for patients treated in the Operating Room, Post-Anesthesia Care Unit, and Intensive Care Unit (ICU). As part of a quality improvement effort, we undertook a gap analysis of an existing analytics platform within the Veterans Healthcare Administration. The objectives were to identify themes associated with 1) current clinical use cases and stakeholder needs; 2) information flow and pain points; and 3) recommendations for future analytics development. Methods consisted of semi-structured interviews in 2 phases with a diverse set (n = 9) of support personnel and end users from five facilities across a Veterans Integrated Service Network. Phase 1 identified underlying needs and previous experiences with the analytics platform across various roles and operational responsibilities. Phase 2 validated preliminary feedback, lessons learned, and recommendations for improvement. Emerging themes suggested that the existing system met a small pool of national reporting requirements. However, pain points were identified with accessing data in several information system silos and performing multiple manual validation steps of data content. Notable recommendations included enhancing systems integration to create "one-stop shopping" for data, and developing a capability to perform trends analysis. Our gap analysis suggests that analytics platforms designed for surgical and ICU patients should employ approaches similar to those being used for primary care patients.
Yuan, S; J Carson, S; Rooksby, M; McKerrow, J; Lush, C; Humphris, G; Freeman, R
2017-08-01
To examine how quality standards of dental undergraduate education, postgraduate training and qualifications together with confidence and barriers could be utilised to predict intention to provide inhalation sedation. All 202 dentists working within primary dental care in NHS Highland were invited to participate. The measures in the questionnaire survey included demographic information, undergraduate education and postgraduate qualifications, current provision and access to sedation service, attitudes towards confidence, barriers and intention to provide inhalation sedation. A path analytical approach was employed to investigate the fit of collected data to the proposed mediational model. One hundred and nine dentists who completed the entire questionnaire participated (response rate of 54%). Seventy-six per cent of dentists reported receiving lectures in conscious sedation during their undergraduate education. Statistically significantly more Public Dental Service dentists compared with General Dental Service (GDS) dentists had postgraduate qualification and Continuing Professional Development training experience in conscious sedation. Only twenty-four per cent of the participants stated that they provided inhalation sedation to their patients. The findings indicated that PDS dentists had higher attitudinal scores towards inhalation sedation than GDS practitioners. The proposed model showed an excellent level of fit. A multigroup comparison test confirmed that the level of association between confidence in providing inhalation sedation and intention varied by group (GDS vs. PDS respondents). Public Dental Service respondents who showed extensive postgraduate training experience in inhalation sedation were more confident and likely to provide this service. The quality standards of dental undergraduate education, postgraduate qualifications and training together with improved confidence predicted primary care dentists' intention to provide inhalation sedation. © 2016 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.
Fulga, Netta
2013-06-01
Quality management and accreditation in the analytical laboratory setting are developing rapidly and becoming the standard worldwide. Quality management refers to all the activities used by organizations to ensure product or service consistency. Accreditation is a formal recognition by an authoritative regulatory body that a laboratory is competent to perform examinations and report results. The Motherisk Drug Testing Laboratory is licensed to operate at the Hospital for Sick Children in Toronto, Ontario. The laboratory performs toxicology tests of hair and meconium samples for research and clinical purposes. Most of the samples are involved in a chain of custody cases. Establishing a quality management system and achieving accreditation became mandatory by legislation for all Ontario clinical laboratories since 2003. The Ontario Laboratory Accreditation program is based on International Organization for Standardization 15189-Medical laboratories-Particular requirements for quality and competence, an international standard that has been adopted as a national standard in Canada. The implementation of a quality management system involves management commitment, planning and staff education, documentation of the system, validation of processes, and assessment against the requirements. The maintenance of a quality management system requires control and monitoring of the entire laboratory path of workflow. The process of transformation of a research/clinical laboratory into an accredited laboratory, and the benefits of maintaining an effective quality management system, are presented in this article.
MUSTANG: A Community-Facing Web Service to Improve Seismic Data Quality Awareness Through Metrics
NASA Astrophysics Data System (ADS)
Templeton, M. E.; Ahern, T. K.; Casey, R. E.; Sharer, G.; Weertman, B.; Ashmore, S.
2014-12-01
IRIS DMC is engaged in a new effort to provide broad and deep visibility into the quality of data and metadata found in its terabyte-scale geophysical data archive. Taking advantage of large and fast disk capacity, modern advances in open database technologies, and nimble provisioning of virtual machine resources, we are creating an openly accessible treasure trove of data measurements for scientists and the general public to utilize in providing new insights into the quality of this data. We have branded this statistical gathering system MUSTANG, and have constructed it as a component of the web services suite that IRIS DMC offers. MUSTANG measures over forty data metrics addressing issues with archive status, data statistics and continuity, signal anomalies, noise analysis, metadata checks, and station state of health. These metrics could potentially be used both by network operators to diagnose station problems and by data users to sort suitable data from unreliable or unusable data. Our poster details what MUSTANG is, how users can access it, what measurements they can find, and how MUSTANG fits into the IRIS DMC's data access ecosystem. Progress in data processing, approaches to data visualization, and case studies of MUSTANG's use for quality assurance will be presented. We want to illustrate what is possible with data quality assurance, the need for data quality assurance, and how the seismic community will benefit from this freely available analytics service.
Rao, Shalinee; Masilamani, Suresh; Sundaram, Sandhya; Duvuru, Prathiba; Swaminathan, Rajendiran
2016-01-01
Quality monitoring in histopathology unit is categorized into three phases, pre-analytical, analytical and post-analytical, to cover various steps in the entire test cycle. Review of literature on quality evaluation studies pertaining to histopathology revealed that earlier reports were mainly focused on analytical aspects with limited studies on assessment of pre-analytical phase. Pre-analytical phase encompasses several processing steps and handling of specimen/sample by multiple individuals, thus allowing enough scope for errors. Due to its critical nature and limited studies in the past to assess quality in pre-analytical phase, it deserves more attention. This study was undertaken to analyse and assess the quality parameters in pre-analytical phase in a histopathology laboratory. This was a retrospective study done on pre-analytical parameters in histopathology laboratory of a tertiary care centre on 18,626 tissue specimens received in 34 months. Registers and records were checked for efficiency and errors for pre-analytical quality variables: specimen identification, specimen in appropriate fixatives, lost specimens, daily internal quality control performance on staining, performance in inter-laboratory quality assessment program {External quality assurance program (EQAS)} and evaluation of internal non-conformities (NC) for other errors. The study revealed incorrect specimen labelling in 0.04%, 0.01% and 0.01% in 2007, 2008 and 2009 respectively. About 0.04%, 0.07% and 0.18% specimens were not sent in fixatives in 2007, 2008 and 2009 respectively. There was no incidence of specimen lost. A total of 113 non-conformities were identified out of which 92.9% belonged to the pre-analytical phase. The predominant NC (any deviation from normal standard which may generate an error and result in compromising with quality standards) identified was wrong labelling of slides. Performance in EQAS for pre-analytical phase was satisfactory in 6 of 9 cycles. A low incidence of errors in pre-analytical phase implies that a satisfactory level of quality standards was being practiced with still scope for improvement.
Measuring the quality of provided services for patients with chronic kidney disease.
Bahadori, Mohammadkarim; Raadabadi, Mehdi; Heidari Jamebozorgi, Majid; Salesi, Mahmood; Ravangard, Ramin
2014-09-01
The healthcare organizations need to develop and implement quality improvement plans for their survival and success. Measuring quality in the healthcare competitive environment is an undeniable necessity for these organizations and will lead to improved patient satisfaction. This study aimed to measure the quality of provided services for patients with chronic kidney disease in Kerman in 2014. This cross-sectional, descriptive-analytic study was performed from 23 January 2014 to 14 February 2014 in four hemodialysis centers in Kerman. All of the patients on chronic hemodialysis (n = 195) who were referred to these four centers were selected and studied using census method. The required data were collected using the SERVQUAL questionnaire, consisting of two parts: questions related to the patients' demographic characteristics, and 28 items to measure the patients' expectations and perceptions of the five dimensions of service quality, including tangibility, reliability, responsiveness, assurance, and empathy. The collected data were analyzed using SPSS 21.0 through some statistical tests, including independent-samples t test, one-way ANOVA, and paired-samples t test. The results showed that the means of patients' expectations were more than their perceptions of the quality of provided services in all dimensions, which indicated that there were gaps in all dimensions. The highest and lowest means of negative gaps were related to empathy (-0.52 ± 0.48) and tangibility (-0.29 ± 0.51). In addition, among the studied patients' demographic characteristics and the five dimensions of service quality, only the difference between the patients' income levels and the gap in assurance were statistically significant (P < 0.001). Overall, the results of the present study showed that the expectations of patients on hemodialysis were more than their perceptions of provided services. The healthcare providers and employees should pay more attention to the patients' opinions and comments and use their feedback to solve the workplace problems and improve the quality of provided services. In addition, training the health staff to meet the patients' emotional needs and expectations is suggested.
A Hybrid Approach to Develop an Analytical Model for Enhancing the Service Quality of E-Learning
ERIC Educational Resources Information Center
Wu, Hung-Yi; Lin, Hsin-Yu
2012-01-01
The digital content industry is flourishing as a result of the rapid development of technology and the widespread use of computer networks. As has been reported, the market size of the global e-learning (i.e., distance education and telelearning) will reach USD 49.6 billion in 2014. However, to retain and/or increase the market share associated…
A Proposed Research Program for Hospital-Medical Care
Feldman, Paul
1967-01-01
This proposal for a federal government program of health services research, written in spring of 1966, played a key role in development of the National Center for Health Services Research and Development, announced by the President early this year. The paper points to the lack of economic incentives for development of cost-saving innovations for hospitals compared to incentives to develop innovations improving the quality of care. It indicates the analytic procedure which, if followed, would lead to an efficient program of research, and points out several aspects of the analysis that are critical requirements for its successful application. PMID:4964151
Extending Climate Analytics-As to the Earth System Grid Federation
NASA Astrophysics Data System (ADS)
Tamkin, G.; Schnase, J. L.; Duffy, D.; McInerney, M.; Nadeau, D.; Li, J.; Strong, S.; Thompson, J. H.
2015-12-01
We are building three extensions to prior-funded work on climate analytics-as-a-service that will benefit the Earth System Grid Federation (ESGF) as it addresses the Big Data challenges of future climate research: (1) We are creating a cloud-based, high-performance Virtual Real-Time Analytics Testbed supporting a select set of climate variables from six major reanalysis data sets. This near real-time capability will enable advanced technologies like the Cloudera Impala-based Structured Query Language (SQL) query capabilities and Hadoop-based MapReduce analytics over native NetCDF files while providing a platform for community experimentation with emerging analytic technologies. (2) We are building a full-featured Reanalysis Ensemble Service comprising monthly means data from six reanalysis data sets. The service will provide a basic set of commonly used operations over the reanalysis collections. The operations will be made accessible through NASA's climate data analytics Web services and our client-side Climate Data Services (CDS) API. (3) We are establishing an Open Geospatial Consortium (OGC) WPS-compliant Web service interface to our climate data analytics service that will enable greater interoperability with next-generation ESGF capabilities. The CDS API will be extended to accommodate the new WPS Web service endpoints as well as ESGF's Web service endpoints. These activities address some of the most important technical challenges for server-side analytics and support the research community's requirements for improved interoperability and improved access to reanalysis data.
Evaluation and purchase of an analytical flow cytometer: some of the numerous factors to consider.
Zucker, Robert M; Fisher, Nancy C
2013-01-01
When purchasing a flow cytometer, the decision of which brand, model, specifications, and accessories may be challenging. The decisions should initially be guided by the specific applications intended for the instrument. However, many other factors need to be considered, which include hardware, software, quality assurance, support, service, and price and recommendations from colleagues. These issues are discussed to help guide the purchasing process.
Quality Indicators for Learning Analytics
ERIC Educational Resources Information Center
Scheffel, Maren; Drachsler, Hendrik; Stoyanov, Slavi; Specht, Marcus
2014-01-01
This article proposes a framework of quality indicators for learning analytics that aims to standardise the evaluation of learning analytics tools and to provide a mean to capture evidence for the impact of learning analytics on educational practices in a standardised manner. The criteria of the framework and its quality indicators are based on…
Guidelines for point-of-care testing: haematology.
Briggs, Carol; Guthrie, David; Hyde, Keith; Mackie, Ian; Parker, Norman; Popek, Mary; Porter, Neil; Stephens, Clare
2008-09-01
This guideline provides a framework for the arrangement of point-of-care testing (POCT) services, previously known as near patient testing (patient self-testing not covered). POCT is defined as any analytical test performed outside the laboratory. Primary users are often non-laboratory healthcare workers. The guidance applies to units within hospitals as well as general practioner surgeries, community clinics and pharmacies. The head of the haematology laboratory or a point of care coordinator must take responsibility for all aspects of the POCT service, including quality and training. Depending on the size and nature of the POCT practice, a local POCT manager may also be required. Equipment selected should have received a successful independent performance evaluation. If an independent evaluation has not been performed the purchaser should assess the device according to the protocol in this document. POCT devices should generate results that are comparable to those of the local laboratory. An accredited external quality assessment programme and internal quality control system must be established. Manufacturers promoting POCT devices designed for non-laboratory sites, e.g. pharmacies, should undertake training and annual competency assessment, perhaps using a web-based system. A diagram to illustrate the stages for the implementation of a POCT service is illustrated.
DOE Office of Scientific and Technical Information (OSTI.GOV)
DiRenzo, J.F.; Rubin, R.B.
1978-03-01
In accordance with the Clean Air Act Amendments of 1977, the Environmental Protection Agency is evaluating the use and cost-effectiveness of alternative short-range transit fare and service improvement strategies, carpool and vanpool strategies, and strategies involving the preferential treatment of high occupancy vehicles to improve air quality in urban areas. The evaluation of individual strategies and combinations of the above strategies includes their emission and air quality impacts and their related energy, noise, and economic impacts. A comprehensive literature review was also conducted, as part of this evaluation, to identify both observed and projected travel, emission, air quality, energy, noise,more » and economic impacts of the short-range low-cost strategies of interest.« less
NASA Technical Reports Server (NTRS)
Tamkin, Glenn S. (Inventor); Duffy, Daniel Q. (Inventor); Schnase, John L. (Inventor)
2016-01-01
A system, method and computer-readable storage devices for providing a climate data analytic services application programming interface distribution package. The example system can provide various components. The system provides a climate data analytic services application programming interface library that enables software applications running on a client device to invoke the capabilities of a climate data analytic service. The system provides a command-line interface that provides a means of interacting with a climate data analytic service by issuing commands directly to the system's server interface. The system provides sample programs that call on the capabilities of the application programming interface library and can be used as templates for the construction of new client applications. The system can also provide test utilities, build utilities, service integration utilities, and documentation.
Shephard, Mark D; Gill, Janice P
2003-01-01
This study describes the development, implementation and management of a multi-faceted quality assurance program called Quality Assurance for Aboriginal Medical Services (QAAMS) to support point-of-care HbA1c testing on the Bayer DCA 2000 in Aboriginal people with diabetes from 45 Australian Aboriginal Community Controlled Health Services. The quality assurance program comprised four elements: production of culturally appropriate education resources, formal training for Aboriginal Health Workers conducting HbA1c testing, an external quality assurance program and on-going quality management support services including a help hotline and an annual workshop. Aboriginal Health Workers were required to test two quality assurance (QAAMS) samples in a blind sense every month since July 1999. Samples were linearly related and comprised six paired levels of HbA1c. The short and long term performance of each service’s DCA 2000 was reviewed monthly and at the end of each six month testing cycle. The average participation rate over 7 six-monthly QAAMS testing cycles was 88%. 84% of 3100 quality assurance tests performed were within preset limits of acceptability. The median precision (CV%) for HbA1c testing has averaged 3.8% across the past 5 cycles (range 3.4 to 4.0%) and is continuing to improve. The introduction of a medical rebate for HbA1c testing has ensured the program’s sustainability. Through continuing education and training, Aboriginal Health Workers have achieved consistent analytical performance for HbA1c testing on the DCA 2000, equivalent to that of laboratory scientists using the same instrument. This unique quality assurance model can be readily adapted to other Indigenous health settings and other point-of-care tests and instruments. PMID:18568052
Analytical Chemistry Laboratory. Progress report for FY 1996
DOE Office of Scientific and Technical Information (OSTI.GOV)
Green, D.W.; Boparai, A.S.; Bowers, D.L.
The purpose of this report is to summarize the activities of the Analytical Chemistry Laboratory (ACL) at Argonne National Laboratory (ANL) for Fiscal Year (FY) 1996. This annual report is the thirteenth for the ACL. It describes effort on continuing and new projects and contributions of the ACL staff to various programs at ANL. The ACL operates in the ANL system as a full-cost-recovery service center, but has a mission that includes a complementary research and development component: The Analytical Chemistry Laboratory will provide high-quality, cost-effective chemical analysis and related technical support to solve research problems of our clients --more » Argonne National Laboratory, the Department of Energy, and others -- and will conduct world-class research and development in analytical chemistry and its applications. Because of the diversity of research and development work at ANL, the ACL handles a wide range of analytical chemistry problems. Some routine or standard analyses are done, but the ACL usually works with commercial laboratories if our clients require high-volume, production-type analyses. It is common for ANL programs to generate unique problems that require significant development of methods and adaption of techniques to obtain useful analytical data. Thus, much of the support work done by the ACL is very similar to our applied analytical chemistry research.« less
Shipboard Analytical Capabilities on the Renovated JOIDES Resolution, IODP Riserless Drilling Vessel
NASA Astrophysics Data System (ADS)
Blum, P.; Foster, P.; Houpt, D.; Bennight, C.; Brandt, L.; Cobine, T.; Crawford, W.; Fackler, D.; Fujine, K.; Hastedt, M.; Hornbacher, D.; Mateo, Z.; Moortgat, E.; Vasilyev, M.; Vasilyeva, Y.; Zeliadt, S.; Zhao, J.
2008-12-01
The JOIDES Resolution (JR) has conducted 121 scientific drilling expeditions during the Ocean Drilling Program (ODP) and the first phase of the Integrated Ocean Drilling Program (IODP) (1983-2006). The vessel and scientific systems have just completed an NSF-sponsored renovation (2005-2008). Shipboard analytical systems have been upgraded, within funding constraints imposed by market driven vessel conversion cost increases, to include: (1) enhanced shipboard analytical services including instruments and software for sampling and the capture of chemistry, physical properties, and geological data; (2) new data management capabilities built around a laboratory information management system (LIMS), digital asset management system, and web services; (3) operations data services with enhanced access to navigation and rig instrumentation data; and (4) a combination of commercial and home-made user applications for workflow- specific data extractions, generic and customized data reporting, and data visualization within a shipboard production environment. The instrumented data capture systems include a new set of core loggers for rapid and non-destructive acquisition of images and other physical properties data from drill cores. Line-scan imaging and natural gamma ray loggers capture data at unprecedented quality due to new and innovative designs. Many instruments used to characterize chemical compounds of rocks, sediments, and interstitial fluids were upgraded with the latest technology. The shipboard analytical environment features a new and innovative framework (DESCinfo) and application (DESClogik) for capturing descriptive and interpretive data from geological sub-domains such as sedimentology, petrology, paleontology, structural geology, stratigraphy, etc. This system fills a long-standing gap by providing a global database, controlled vocabularies and taxa name lists with version control, a highly configurable spreadsheet environment for data capture, and visualization of context data collected with the shipboard core loggers and other instruments.
Evaluation of analytical errors in a clinical chemistry laboratory: a 3 year experience.
Sakyi, As; Laing, Ef; Ephraim, Rk; Asibey, Of; Sadique, Ok
2015-01-01
Proficient laboratory service is the cornerstone of modern healthcare systems and has an impact on over 70% of medical decisions on admission, discharge, and medications. In recent years, there is an increasing awareness of the importance of errors in laboratory practice and their possible negative impact on patient outcomes. We retrospectively analyzed data spanning a period of 3 years on analytical errors observed in our laboratory. The data covered errors over the whole testing cycle including pre-, intra-, and post-analytical phases and discussed strategies pertinent to our settings to minimize their occurrence. We described the occurrence of pre-analytical, analytical and post-analytical errors observed at the Komfo Anokye Teaching Hospital clinical biochemistry laboratory during a 3-year period from January, 2010 to December, 2012. Data were analyzed with Graph Pad Prism 5(GraphPad Software Inc. CA USA). A total of 589,510 tests was performed on 188,503 outpatients and hospitalized patients. The overall error rate for the 3 years was 4.7% (27,520/58,950). Pre-analytical, analytical and post-analytical errors contributed 3.7% (2210/58,950), 0.1% (108/58,950), and 0.9% (512/58,950), respectively. The number of tests reduced significantly over the 3-year period, but this did not correspond with a reduction in the overall error rate (P = 0.90) along with the years. Analytical errors are embedded within our total process setup especially pre-analytical and post-analytical phases. Strategic measures including quality assessment programs for staff involved in pre-analytical processes should be intensified.
Transparent Reporting of Data Quality in Distributed Data Networks
Kahn, Michael G.; Brown, Jeffrey S.; Chun, Alein T.; Davidson, Bruce N.; Meeker, Daniella; Ryan, Patrick B.; Schilling, Lisa M.; Weiskopf, Nicole G.; Williams, Andrew E.; Zozus, Meredith Nahm
2015-01-01
Introduction: Poor data quality can be a serious threat to the validity and generalizability of clinical research findings. The growing availability of electronic administrative and clinical data is accompanied by a growing concern about the quality of these data for observational research and other analytic purposes. Currently, there are no widely accepted guidelines for reporting quality results that would enable investigators and consumers to independently determine if a data source is fit for use to support analytic inferences and reliable evidence generation. Model and Methods: We developed a conceptual model that captures the flow of data from data originator across successive data stewards and finally to the data consumer. This “data lifecycle” model illustrates how data quality issues can result in data being returned back to previous data custodians. We highlight the potential risks of poor data quality on clinical practice and research results. Because of the need to ensure transparent reporting of a data quality issues, we created a unifying data-quality reporting framework and a complementary set of 20 data-quality reporting recommendations for studies that use observational clinical and administrative data for secondary data analysis. We obtained stakeholder input on the perceived value of each recommendation by soliciting public comments via two face-to-face meetings of informatics and comparative-effectiveness investigators, through multiple public webinars targeted to the health services research community, and with an open access online wiki. Recommendations: Our recommendations propose reporting on both general and analysis-specific data quality features. The goals of these recommendations are to improve the reporting of data quality measures for studies that use observational clinical and administrative data, to ensure transparency and consistency in computing data quality measures, and to facilitate best practices and trust in the new clinical discoveries based on secondary use of observational data. PMID:25992385
Healthcare Transformation and Changing Roles for Nursing
Salmond, Susan W.; Echevarria, Mercedes
2017-01-01
Factors driving healthcare transformation include fragmentation, access problems, unsustainable costs, suboptimal outcomes, and disparities. Cost and quality concerns along with changing social and disease-type demographics created the greatest urgency for the need for change. Caring for and paying for medical treatments for patients suffering from chronic health conditions are a significant concern. The Affordable Care Act includes programs now led by the Centers for Medicare & Medicaid Services aiming to improve quality and control cost. Greater coordination of care—across providers and across settings—will improve quality care, improve outcomes, and reduce spending, especially attributed to unnecessary hospitalization, unnecessary emergency department utilization, repeated diagnostic testing, repeated medical histories, multiple prescriptions, and adverse drug interactions. As a nation, we have taken incremental steps toward achieving better quality and lower costs for decades. Nurses are positioned to contribute to and lead the transformative changes that are occurring in healthcare by being a fully contributing member of the interprofessional team as we shift from episodic, provider-based, fee-for-service care to team-based, patient-centered care across the continuum that provides seamless, affordable, and quality care. These shifts require a new or an enhanced set of knowledge, skills, and attitudes around wellness and population care with a renewed focus on patient-centered care, care coordination, data analytics, and quality improvement. PMID:28107295
QFD-ANP Approach for the Conceptual Design of Research Vessels: A Case Study
NASA Astrophysics Data System (ADS)
Venkata Subbaiah, Kambagowni; Yeshwanth Sai, Koneru; Suresh, Challa
2016-10-01
Conceptual design is a subset of concept art wherein a new idea of product is created instead of a visual representation which would directly be used in a final product. The purpose is to understand the needs of conceptual design which are being used in engineering designs and to clarify the current conceptual design practice. Quality function deployment (QFD) is a customer oriented design approach for developing new or improved products and services to enhance customer satisfaction. House of quality (HOQ) has been traditionally used as planning tool of QFD which translates customer requirements (CRs) into design requirements (DRs). Factor analysis is carried out in order to reduce the CR portions of HOQ. The analytical hierarchical process is employed to obtain the priority ratings of CR's which are used in constructing HOQ. This paper mainly discusses about the conceptual design of an oceanographic research vessel using analytical network process (ANP) technique. Finally the QFD-ANP integrated methodology helps to establish the importance ratings of DRs.
DOE Office of Scientific and Technical Information (OSTI.GOV)
Green, D.W.; Heinrich, R.R.; Graczyk, D.G.
The purpose of this report is to summarize the activities of the Analytical Chemistry Laboratory (ACL) at Argonne National Laboratory (ANL) for fiscal year 1988 (October 1987 through September 1988). The Analytical Chemistry Laboratory is a full-cost recovery service center, with the primary mission of providing a broad range of analytical chemistry support services to the scientific and engineering programs at ANL. In addition, the ACL conducts a research program in analytical chemistry, works on instrumental and methods development, and provides analytical services for governmental, educational, and industrial organizations. The ACL handles a wide range of analytical problems, from routinemore » standard analyses to unique problems that require significant development of methods and techniques.« less
DOE Office of Scientific and Technical Information (OSTI.GOV)
Green, D.W.; Heinrich, R.R.; Graczyk, D.G.
The purpose of this report is to summarize the activities of the Analytical Chemistry Laboratory (ACL) at Argonne National Laboratory (ANL) for Fiscal Year 1989 (October 1988 through September 1989). The Analytical Chemistry Laboratory is a full-cost-recovery service center, with the primary mission of providing a broad range of analytical chemistry support services to the scientific and engineering programs at ANL. In addition, the ACL conducts a research program in analytical chemistry, works on instrumental and methods development, and provides analytical services for governmental, educational, and industrial organizations. The ACL handles a wide range of analytical problems, from routine standardmore » analyses to unique problems that require significant development of methods and techniques.« less
NASA Astrophysics Data System (ADS)
Tamkin, G.; Schnase, J. L.; Duffy, D.; Li, J.; Strong, S.; Thompson, J. H.
2017-12-01
NASA's efforts to advance climate analytics-as-a-service are making new capabilities available to the research community: (1) A full-featured Reanalysis Ensemble Service (RES) comprising monthly means data from multiple reanalysis data sets, accessible through an enhanced set of extraction, analytic, arithmetic, and intercomparison operations. The operations are made accessible through NASA's climate data analytics Web services and our client-side Climate Data Services Python library, CDSlib; (2) A cloud-based, high-performance Virtual Real-Time Analytics Testbed supporting a select set of climate variables. This near real-time capability enables advanced technologies like Spark and Hadoop-based MapReduce analytics over native NetCDF files; and (3) A WPS-compliant Web service interface to our climate data analytics service that will enable greater interoperability with next-generation systems such as ESGF. The Reanalysis Ensemble Service includes the following: - New API that supports full temporal, spatial, and grid-based resolution services with sample queries - A Docker-ready RES application to deploy across platforms - Extended capabilities that enable single- and multiple reanalysis area average, vertical average, re-gridding, standard deviation, and ensemble averages - Convenient, one-stop shopping for commonly used data products from multiple reanalyses including basic sub-setting and arithmetic operations (e.g., avg, sum, max, min, var, count, anomaly) - Full support for the MERRA-2 reanalysis dataset in addition to, ECMWF ERA-Interim, NCEP CFSR, JMA JRA-55 and NOAA/ESRL 20CR… - A Jupyter notebook-based distribution mechanism designed for client use cases that combines CDSlib documentation with interactive scenarios and personalized project management - Supporting analytic services for NASA GMAO Forward Processing datasets - Basic uncertainty quantification services that combine heterogeneous ensemble products with comparative observational products (e.g., reanalysis, observational, visualization) - The ability to compute and visualize multiple reanalysis for ease of inter-comparisons - Automated tools to retrieve and prepare data collections for analytic processing
NASA Technical Reports Server (NTRS)
James, John T.
2001-01-01
The toxicological assessment of air samples returned at the end of the STS-l04 (7 A) flight to the ISS is reported. ISS air samples were taken in June and July 2001 from the Service Module, FGB, and U.S. Laboratory using grab sample canisters (GSCs) and/or formaldehyde badges. Preflight and end-of-mission samples were obtained from Atlantis using GSCs. Solid sorbent air sampler (SSAS) samples were obtained from the ISS in April, June, and July. Analytical methods have not changed from earlier reports, and all quality control measures were met.
Robertshaw, Luke; Dhesi, Surindar
2017-01-01
Objectives To thematically synthesise primary qualitative studies that explore challenges and facilitators for health professionals providing primary healthcare for refugees and asylum seekers in high-income countries. Design Systematic review and qualitative thematic synthesis. Methods Searches of MEDLINE, EMBASE, PsycINFO, CINAHL and Web of Science. Search terms were combined for qualitative research, primary healthcare professionals, refugees and asylum seekers, and were supplemented by searches of reference lists and citations. Study selection was conducted by two researchers using prespecified selection criteria. Data extraction and quality assessment using the Critical Appraisal Skills Programme tool was conducted by the first author. A thematic synthesis was undertaken to develop descriptive themes and analytical constructs. Results Twenty-six articles reporting on 21 studies and involving 357 participants were included. Eleven descriptive themes were interpreted, embedded within three analytical constructs: healthcare encounter (trusting relationship, communication, cultural understanding, health and social conditions, time); healthcare system (training and guidance, professional support, connecting with other services, organisation, resources and capacity); asylum and resettlement. Challenges and facilitators were described within these themes. Conclusions A range of challenges and facilitators have been identified for health professionals providing primary healthcare for refugees and asylum seekers that are experienced in the dimensions of the healthcare encounter, the healthcare system and wider asylum and resettlement situation. Comprehensive understanding of these challenges and facilitators is important to shape policy, improve the quality of services and provide more equitable health services for this vulnerable group. PMID:28780549
Design Patterns to Achieve 300x Speedup for Oceanographic Analytics in the Cloud
NASA Astrophysics Data System (ADS)
Jacob, J. C.; Greguska, F. R., III; Huang, T.; Quach, N.; Wilson, B. D.
2017-12-01
We describe how we achieve super-linear speedup over standard approaches for oceanographic analytics on a cluster computer and the Amazon Web Services (AWS) cloud. NEXUS is an open source platform for big data analytics in the cloud that enables this performance through a combination of horizontally scalable data parallelism with Apache Spark and rapid data search, subset, and retrieval with tiled array storage in cloud-aware NoSQL databases like Solr and Cassandra. NEXUS is the engine behind several public portals at NASA and OceanWorks is a newly funded project for the ocean community that will mature and extend this capability for improved data discovery, subset, quality screening, analysis, matchup of satellite and in situ measurements, and visualization. We review the Python language API for Spark and how to use it to quickly convert existing programs to use Spark to run with cloud-scale parallelism, and discuss strategies to improve performance. We explain how partitioning the data over space, time, or both leads to algorithmic design patterns for Spark analytics that can be applied to many different algorithms. We use NEXUS analytics as examples, including area-averaged time series, time averaged map, and correlation map.
DOE Office of Scientific and Technical Information (OSTI.GOV)
Green, D.W.; Boparai, A.S.; Bowers, D.L.
This report summarizes the activities of the Analytical Chemistry Laboratory (ACL) at Argonne National Laboratory (ANL) for Fiscal Year (FY) 2000 (October 1999 through September 2000). This annual progress report, which is the seventeenth in this series for the ACL, describes effort on continuing projects, work on new projects, and contributions of the ACL staff to various programs at ANL. The ACL operates within the ANL system as a full-cost-recovery service center, but it has a mission that includes a complementary research and development component: The Analytical Chemistry Laboratory will provide high-quality, cost-effective chemical analysis and related technical support tomore » solve research problems of our clients--Argonne National Laboratory, the Department of Energy, and others--and will conduct world-class research and development in analytical chemistry and its applications. The ACL handles a wide range of analytical problems that reflects the diversity of research and development (R&D) work at ANL. Some routine or standard analyses are done, but the ACL operates more typically in a problem-solving mode in which development of methods is required or adaptation of techniques is needed to obtain useful analytical data. The ACL works with clients and commercial laboratories if a large number of routine analyses are required. Much of the support work done by the ACL is very similar to applied analytical chemistry research work.« less
Peoria Disposal Co.`s PDC Laboratories: Analyzing and cleaning up -- Literally
DOE Office of Scientific and Technical Information (OSTI.GOV)
McAdams, C.L.
1995-10-01
In the early 1980s, says Royal Coulter, president and CEO of Peoria Disposal Co. (PDC, Peoria, IL), many PDC customers were unfamiliar with the methods required for the proper characterization of then newly regulated hazardous wastes. So in early 1981, to expedite permitting and, ultimately, acceptance of waste by PDC, a lab was set up so the company could step in and provide the needed services. By focusing on the delivery of quality services in the analysis of groundwater, wastewater, and solid waste for PDC, Coulter says, the laboratory soon developed into a successful and independent commercial operation. In Julymore » of 1981, PDC Laboratories was incorporated as an independent environmental analytical laboratory. PDC Labs is a subsidiary of PDC Technical Services, Inc., which provides environmental consulting and site remediation services, and is itself a wholly-owned subsidiary of Coulter Companies, Inc. Peoria Disposal offers solid waste disposal, industrial waste water treatment, waste stabilization, transportation services, and brokerage services.« less
Georgiou, Andrew; Jorgensen, Mikaela; Siette, Joyce; Westbrook, Johanna I
2017-01-01
The challenge of providing services that meet the growing needs of an ageing population is one confronted by communities across Australia and internationally. The aim of this study was to: a) undertake semi-structured interviews and focus groups across a sample of service and technical staff to identify the interconnection between communication, information, work practices and performance; and b) carry out a comprehensive review of existing data sources to identify the data linkages required to identify and monitor performance across different dimensions of the quality of aged care spectrum. The results from this study provided empirical evidence of the interconnection between communication, information, work practices and performance; and highlighted numerous potential data linkages which can be used to monitor performance across different dimensions of aged care. These included: the uptake and utilisation of community care services, community aged care client interactions and transitions (with hospitals and other health care providers), and quality of life measures (e.g., health and safety status, symptoms of depression and anxiety, social integration and mortality rates).
Evaluation of Analytical Errors in a Clinical Chemistry Laboratory: A 3 Year Experience
Sakyi, AS; Laing, EF; Ephraim, RK; Asibey, OF; Sadique, OK
2015-01-01
Background: Proficient laboratory service is the cornerstone of modern healthcare systems and has an impact on over 70% of medical decisions on admission, discharge, and medications. In recent years, there is an increasing awareness of the importance of errors in laboratory practice and their possible negative impact on patient outcomes. Aim: We retrospectively analyzed data spanning a period of 3 years on analytical errors observed in our laboratory. The data covered errors over the whole testing cycle including pre-, intra-, and post-analytical phases and discussed strategies pertinent to our settings to minimize their occurrence. Materials and Methods: We described the occurrence of pre-analytical, analytical and post-analytical errors observed at the Komfo Anokye Teaching Hospital clinical biochemistry laboratory during a 3-year period from January, 2010 to December, 2012. Data were analyzed with Graph Pad Prism 5(GraphPad Software Inc. CA USA). Results: A total of 589,510 tests was performed on 188,503 outpatients and hospitalized patients. The overall error rate for the 3 years was 4.7% (27,520/58,950). Pre-analytical, analytical and post-analytical errors contributed 3.7% (2210/58,950), 0.1% (108/58,950), and 0.9% (512/58,950), respectively. The number of tests reduced significantly over the 3-year period, but this did not correspond with a reduction in the overall error rate (P = 0.90) along with the years. Conclusion: Analytical errors are embedded within our total process setup especially pre-analytical and post-analytical phases. Strategic measures including quality assessment programs for staff involved in pre-analytical processes should be intensified. PMID:25745569
Struijs, Jeroen N; Drewes, Hanneke W; Heijink, Richard; Baan, Caroline A
2015-04-01
Many countries face the persistent twin challenge of providing high-quality care while keeping health systems affordable and accessible. As a result, the interest for more efficient strategies to stimulate population health is increasing. A possible successful strategy is population management (PM). PM strives to address health needs for the population at-risk and the chronically ill at all points along the health continuum by integrating services across health care, prevention, social care and welfare. The Care Continuum Alliance (CCA) population health guide, which recently changed their name in Population Health Alliance (PHA) provides a useful instrument for implementing and evaluating such innovative approaches. This framework is developed for PM specifically and describes the core elements of the PM-concept on the basis of six subsequent interrelated steps. The aim of this article is to transform the CCA framework into an analytical framework. Quantitative methods are refined and we operationalized a set of indicators to measure the impact of PM in terms of the Triple Aim (population health, quality of care and cost per capita). Additionally, we added a qualitative part to gain insight into the implementation process of PM. This resulted in a broadly applicable analytical framework based on a mixed-methods approach. In the coming years, the analytical framework will be applied within the Dutch Monitor Population Management to derive transferable 'lessons learned' and to methodologically underpin the concept of PM. Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.
This page contains information about the DLM02.2 analytical service for the analysis of dioxins and furans at hazardous waste sites. The SOW contains the analytical method and contractual requirements for laboratories.
Quality systems in veterinary diagnostics laboratories.
de Branco, Freitas Maia L M
2007-01-01
Quality assurance of services provided by veterinary diagnostics laboratories is a fundamental element promoted by international animal health organizations to establish trust, confidence and transparency needed for the trade of animals and their products at domestic and international levels. It requires, among other things, trained personnel, consistent and rigorous methodology, choice of suitable methods as well as appropriate calibration and traceability procedures. An important part of laboratory quality management is addressed by ISO/IEC 17025, which aims to facilitate cooperation among laboratories and their associated parties by assuring the generation of credible and consistent information derived from analytical results. Currently, according to OIE recommendation, veterinary diagnostics laboratories are only subject to voluntary compliance with standard ISO/IEC 17025; however, it is proposed here that OIE reference laboratories and collaboration centres strongly consider its adoption.
Describing the performance of U.S. hospitals by applying big data analytics.
Downing, Nicholas S; Cloninger, Alexander; Venkatesh, Arjun K; Hsieh, Angela; Drye, Elizabeth E; Coifman, Ronald R; Krumholz, Harlan M
2017-01-01
Public reporting of measures of hospital performance is an important component of quality improvement efforts in many countries. However, it can be challenging to provide an overall characterization of hospital performance because there are many measures of quality. In the United States, the Centers for Medicare and Medicaid Services reports over 100 measures that describe various domains of hospital quality, such as outcomes, the patient experience and whether established processes of care are followed. Although individual quality measures provide important insight, it is challenging to understand hospital performance as characterized by multiple quality measures. Accordingly, we developed a novel approach for characterizing hospital performance that highlights the similarities and differences between hospitals and identifies common patterns of hospital performance. Specifically, we built a semi-supervised machine learning algorithm and applied it to the publicly-available quality measures for 1,614 U.S. hospitals to graphically and quantitatively characterize hospital performance. In the resulting visualization, the varying density of hospitals demonstrates that there are key clusters of hospitals that share specific performance profiles, while there are other performance profiles that are rare. Several popular hospital rating systems aggregate some of the quality measures included in our study to produce a composite score; however, hospitals that were top-ranked by such systems were scattered across our visualization, indicating that these top-ranked hospitals actually excel in many different ways. Our application of a novel graph analytics method to data describing U.S. hospitals revealed nuanced differences in performance that are obscured in existing hospital rating systems.
DOE Office of Scientific and Technical Information (OSTI.GOV)
Green, D.W.; Heinrich, R.R.; Graczyk, D.G.
The purpose of this report is to summarize the activities of the Analytical Chemistry Laboratory (ACL) at Argonne National Laboratory (ANL) for Fiscal Year 1991 (October 1990 through September 1991). This is the eighth annual report for the ACL. The Analytical Chemistry Laboratory is a full-cost-recovery service center, with the primary mission of providing a broad range of analytical chemistry support services to the scientific and engineering programs at ANL. In addition, the ACL conducts a research program in analytical chemistry, works on instrumental and methods development, and provides analytical services for governmental, educational, and industrial organizations. The ACL handlesmore » a wide range of analytical problems, from routine standard analyses to unique problems that require significant development of methods and techniques.« less
Climate Analytics as a Service. Chapter 11
NASA Technical Reports Server (NTRS)
Schnase, John L.
2016-01-01
Exascale computing, big data, and cloud computing are driving the evolution of large-scale information systems toward a model of data-proximal analysis. In response, we are developing a concept of climate analytics as a service (CAaaS) that represents a convergence of data analytics and archive management. With this approach, high-performance compute-storage implemented as an analytic system is part of a dynamic archive comprising both static and computationally realized objects. It is a system whose capabilities are framed as behaviors over a static data collection, but where queries cause results to be created, not found and retrieved. Those results can be the product of a complex analysis, but, importantly, they also can be tailored responses to the simplest of requests. NASA's MERRA Analytic Service and associated Climate Data Services API provide a real-world example of climate analytics delivered as a service in this way. Our experiences reveal several advantages to this approach, not the least of which is orders-of-magnitude time reduction in the data assembly task common to many scientific workflows.
Applying analytic hierarchy process to assess healthcare-oriented cloud computing service systems.
Liao, Wen-Hwa; Qiu, Wan-Li
2016-01-01
Numerous differences exist between the healthcare industry and other industries. Difficulties in the business operation of the healthcare industry have continually increased because of the volatility and importance of health care, changes to and requirements of health insurance policies, and the statuses of healthcare providers, which are typically considered not-for-profit organizations. Moreover, because of the financial risks associated with constant changes in healthcare payment methods and constantly evolving information technology, healthcare organizations must continually adjust their business operation objectives; therefore, cloud computing presents both a challenge and an opportunity. As a response to aging populations and the prevalence of the Internet in fast-paced contemporary societies, cloud computing can be used to facilitate the task of balancing the quality and costs of health care. To evaluate cloud computing service systems for use in health care, providing decision makers with a comprehensive assessment method for prioritizing decision-making factors is highly beneficial. Hence, this study applied the analytic hierarchy process, compared items related to cloud computing and health care, executed a questionnaire survey, and then classified the critical factors influencing healthcare cloud computing service systems on the basis of statistical analyses of the questionnaire results. The results indicate that the primary factor affecting the design or implementation of optimal cloud computing healthcare service systems is cost effectiveness, with the secondary factors being practical considerations such as software design and system architecture.
Hens, Koen; Berth, Mario; Armbruster, Dave; Westgard, Sten
2014-07-01
Six Sigma metrics were used to assess the analytical quality of automated clinical chemistry and immunoassay tests in a large Belgian clinical laboratory and to explore the importance of the source used for estimation of the allowable total error. Clinical laboratories are continually challenged to maintain analytical quality. However, it is difficult to measure assay quality objectively and quantitatively. The Sigma metric is a single number that estimates quality based on the traditional parameters used in the clinical laboratory: allowable total error (TEa), precision and bias. In this study, Sigma metrics were calculated for 41 clinical chemistry assays for serum and urine on five ARCHITECT c16000 chemistry analyzers. Controls at two analyte concentrations were tested and Sigma metrics were calculated using three different TEa targets (Ricos biological variability, CLIA, and RiliBÄK). Sigma metrics varied with analyte concentration, the TEa target, and between/among analyzers. Sigma values identified those assays that are analytically robust and require minimal quality control rules and those that exhibit more variability and require more complex rules. The analyzer to analyzer variability was assessed on the basis of Sigma metrics. Six Sigma is a more efficient way to control quality, but the lack of TEa targets for many analytes and the sometimes inconsistent TEa targets from different sources are important variables for the interpretation and the application of Sigma metrics in a routine clinical laboratory. Sigma metrics are a valuable means of comparing the analytical quality of two or more analyzers to ensure the comparability of patient test results.
Median of patient results as a tool for assessment of analytical stability.
Jørgensen, Lars Mønster; Hansen, Steen Ingemann; Petersen, Per Hyltoft; Sölétormos, György
2015-06-15
In spite of the well-established external quality assessment and proficiency testing surveys of analytical quality performance in laboratory medicine, a simple tool to monitor the long-term analytical stability as a supplement to the internal control procedures is often needed. Patient data from daily internal control schemes was used for monthly appraisal of the analytical stability. This was accomplished by using the monthly medians of patient results to disclose deviations from analytical stability, and by comparing divergences with the quality specifications for allowable analytical bias based on biological variation. Seventy five percent of the twenty analytes achieved on two COBASs INTEGRA 800 instruments performed in accordance with the optimum and with the desirable specifications for bias. Patient results applied in analytical quality performance control procedures are the most reliable sources of material as they represent the genuine substance of the measurements and therefore circumvent the problems associated with non-commutable materials in external assessment. Patient medians in the monthly monitoring of analytical stability in laboratory medicine are an inexpensive, simple and reliable tool to monitor the steadiness of the analytical practice. Copyright © 2015 Elsevier B.V. All rights reserved.
NASA Technical Reports Server (NTRS)
Zhang, Anming (Editor); Bowen, Brent D. (Editor)
1999-01-01
Contents include the following: The effect of operating and financial leverage on the stability of airline returns over time: the contrast between Southwest, Delta and USAir. A factor analytical study of airline entrant airlines. Strategic alliance and firm value: a longitudinal study of the British Airways/USAir alliance. Intransit preclearance at canadian airports. Judging a book by it's cover: the relationship between service and safety quality in US national and regional airlines.
Reengineering health care: management systems for survivors.
Griffith, J R
1994-01-01
To survive in the coming era, health care organizations must support the powerful concepts of continuous quality improvement with better internal management systems that include: (1) new processes for making decisions from mission to clinical guidelines; (2) hoshin planning, which emphasizes strong financial management and innovation to meet customer needs; (3) new organizations that make cross-disciplinary teams as important as traditional clinical support services; and (4) expanded information covering several new dimensions, including enhanced analytic capability, and supporting both traditional organization and cross-disciplinary teams.
Managing Medicaid managed care: are states becoming prudent purchasers?
Fossett, J W; Goggin, M; Hall, J S; Johnston, J; Plein, L C; Roper, R; Weissert, C
2000-01-01
This paper examines the extent to which five states are becoming "prudent purchasers" in their oversight of Medicaid managed care. Our conclusions are mixed. These states are making more sustained efforts along these lines than most private purchasers are and have improved the amount and quality of the data they collect on the experiences of Medicaid clients when compared with the traditional fee-for-service program. They have been less successful in ensuring data quality that is adequate to support contracting decisions and in developing the analytical or political capacity to use data to "manage" the managed care system. Becoming a prudent purchaser appears to be a complex task for states that may prove difficult to achieve.
Ishibashi, Midori
2015-01-01
The cost, speed, and quality are the three important factors recently indicated by the Ministry of Health, Labour and Welfare (MHLW) for the purpose of accelerating clinical studies. Based on this background, the importance of laboratory tests is increasing, especially in the evaluation of clinical study participants' entry and safety, and drug efficacy. To assure the quality of laboratory tests, providing high-quality laboratory tests is mandatory. For providing adequate quality assurance in laboratory tests, quality control in the three fields of pre-analytical, analytical, and post-analytical processes is extremely important. There are, however, no detailed written requirements concerning specimen collection, handling, preparation, storage, and shipping. Most laboratory tests for clinical studies are performed onsite in a local laboratory; however, a part of laboratory tests is done in offsite central laboratories after specimen shipping. As factors affecting laboratory tests, individual and inter-individual variations are well-known. Besides these factors, standardizing the factors of specimen collection, handling, preparation, storage, and shipping, may improve and maintain the high quality of clinical studies in general. Furthermore, the analytical method, units, and reference interval are also important factors. It is concluded that, to overcome the problems derived from pre-analytical processes, it is necessary to standardize specimen handling in a broad sense.
Edie, Gregory Edie Halle Ekane; Obinchemti, Thomas Egbe; Tamufor, Emmanuel Njuma; Njie, Martin Mafany; Njamen, Theophile Nana; Achidi, Eric Akum
2015-01-01
Introduction User'sperception of quality of ANC services crucially impacts continuity of use of these services and hence pregnancy outcome. However in our community, ANC user's perceptions of quality are not known. Methods An observational analytic cross-sectional study was carried out amongst pregnant women attending selected government health centres in the Buea Health District. We recruited 385 consenting pregnant women for the study. Demographic and clinical data were collected using structured questionnaires. The data was entered into Microsoft Excel and exported toEpi-Info (Version 3.5.1) for analysis. Results Geographical accessibility and perceived quality of care were the predominant reasons for choosing or changing a site for ANC. One third of respondents (30.1%) attended a health centre out of their catchment health area with Buea Town health centre receiving the highest proportion of women out of the health area (56.8% of attendees). Knowledge about antenatal care varied and majority of respondents (96.4%) were satisfied with the antenatal services received. However, there were elements of dissatisfaction with health centre services, poor sitting facilities, amenities, few health education talks and poor nursing skills. High educational level (high school and university) (X2 = 8.714; p = 0.01) and first time pregnancy(X2= 4.217; p= 0.04) were significantly associated with poor satisfaction. Conclusion Policy makers should implement changes in the health care delivery system taking into account the users’ preferences, more so in the light of increasing female education in Cameroon. PMID:26405481
Edie, Gregory Edie Halle Ekane; Obinchemti, Thomas Egbe; Tamufor, Emmanuel Njuma; Njie, Martin Mafany; Njamen, Theophile Nana; Achidi, Eric Akum
2015-01-01
User'sperception of quality of ANC services crucially impacts continuity of use of these services and hence pregnancy outcome. However in our community, ANC user's perceptions of quality are not known. An observational analytic cross-sectional study was carried out amongst pregnant women attending selected government health centres in the Buea Health District. We recruited 385 consenting pregnant women for the study. Demographic and clinical data were collected using structured questionnaires. The data was entered into Microsoft Excel and exported toEpi-Info (Version 3.5.1) for analysis. Geographical accessibility and perceived quality of care were the predominant reasons for choosing or changing a site for ANC. One third of respondents (30.1%) attended a health centre out of their catchment health area with Buea Town health centre receiving the highest proportion of women out of the health area (56.8% of attendees). Knowledge about antenatal care varied and majority of respondents (96.4%) were satisfied with the antenatal services received. However, there were elements of dissatisfaction with health centre services, poor sitting facilities, amenities, few health education talks and poor nursing skills. High educational level (high school and university) (X(2) = 8.714; p = 0.01) and first time pregnancy(X(2)= 4.217; p= 0.04) were significantly associated with poor satisfaction. Policy makers should implement changes in the health care delivery system taking into account the users' preferences, more so in the light of increasing female education in Cameroon.
Lim, Ji Young; Noh, Wonjung; Kim, Eunjoo; Choi, Kyung Won
2014-01-01
The aim of this study was to describe the current state of home visit nursing services in the Korean context and to suggest future policy directions. First, the three home visit nursing services that have developed in Korea are compared using the analytic framework provided by Gilbert and Terrell in 2012. The framework is based on four dimensions of social welfare: users, services, source of funds, and service delivery process. Second, we perform a strength, weakness, opportunity, and threat analysis to suggest comprehensive and constructive home visit nursing service policies for the future. Specifically, we advocate the creation of an organization that steers the central government to operate an integrated management organization to distribute services and reduce redundancy for preventing the waste of both medical and state financial resources. This study also recommends the development of educational programs to improve the quality of services and service evaluation criteria for the objective assessment of those services. These policy guidelines may prove useful both for Korea and for other countries that intend to prepare or revise their home visit nursing service systems. © 2014 Wiley Periodicals, Inc.
Aronsson, T; Bjørnstad, P; Leskinen, E; Uldall, A; de Verdier, C H
1984-01-01
The aim of this investigation was primarily to assess analytical quality expressed as between-laboratory, within-laboratory, and total imprecision, not in order to detect laboratories with poor performance, but in the positive sense to provide data for improving critical steps in analytical methodology. The aim was also to establish the present state of the art in comparison with earlier investigations to see if improvement in analytical quality could be observed.
Analytic Methods Used in Quality Control in a Compounding Pharmacy.
Allen, Loyd V
2017-01-01
Analytical testing will no doubt become a more important part of pharmaceutical compounding as the public and regulatory agencies demand increasing documentation of the quality of compounded preparations. Compounding pharmacists must decide what types of testing and what amount of testing to include in their quality-control programs, and whether testing should be done in-house or outsourced. Like pharmaceutical compounding, analytical testing should be performed only by those who are appropriately trained and qualified. This article discusses the analytical methods that are used in quality control in a compounding pharmacy. Copyright© by International Journal of Pharmaceutical Compounding, Inc.
Mjøsund, Nina Helen; Eriksson, Monica; Espnes, Geir Arild; Haaland-Øverby, Mette; Jensen, Sven Liang; Norheim, Irene; Kjus, Solveig Helene Høymork; Portaasen, Inger-Lill; Vinje, Hege Forbech
2017-01-01
The aim of this study was to examine how service user involvement can contribute to the development of interpretative phenomenological analysis methodology and enhance research quality. Interpretative phenomenological analysis is a qualitative methodology used in nursing research internationally to understand human experiences that are essential to the participants. Service user involvement is requested in nursing research. We share experiences from 4 years of collaboration (2012-2015) on a mental health promotion project, which involved an advisory team. Five research advisors either with a diagnosis or related to a person with severe mental illness constituted the team. They collaborated with the research fellow throughout the entire research process and have co-authored this article. We examined the joint process of analysing the empirical data from interviews. Our analytical discussions were audiotaped, transcribed and subsequently interpreted following the guidelines for good qualitative analysis in interpretative phenomenological analysis studies. The advisory team became 'the researcher's helping hand'. Multiple perspectives influenced the qualitative analysis, which gave more insightful interpretations of nuances, complexity, richness or ambiguity in the interviewed participants' accounts. The outcome of the service user involvement was increased breadth and depth in findings. Service user involvement improved the research quality in a nursing research project on mental health promotion. The interpretative element of interpretative phenomenological analysis was enhanced by the emergence of multiple perspectives in the qualitative analysis of the empirical data. We argue that service user involvement and interpretative phenomenological analysis methodology can mutually reinforce each other and strengthen qualitative methodology. © 2016 The Authors. Journal of Advanced Nursing Published by John Wiley & Sons Ltd.
Testing the hospital value proposition: an empirical analysis of efficiency and quality.
Huerta, Timothy R; Ford, Eric W; Peterson, Lori T; Brigham, Keith H
2008-01-01
To assess the relationship between hospitals' X-inefficiency levels and overall care quality based on the National Quality Forum's 27 safe practices score and to improve the analytic strategy for assessing X-inefficiency. The 2005 versions of the American Hospital Association and Leapfrog Group's annual surveys were the basis of the study. Additional case mix indices and market variables were drawn from the Centers for Medicare and Medicaid Services data sources and the Area Resource File. Data envelopment analysis was used to determine hospitals' X-inefficiency scores relative to their market-level competitors. Regression was used to assess the relationship between X-inefficiency and quality, controlling for organizational and market characteristics. Expenses (total and labor expenditures), case-mix-adjusted admissions, length of stay, and licensed beds defined the X-inefficiency function. The overall National Quality Forum's safe practice score, health maintenance organization penetration, market share, and teaching status served as independent control variables in the regression. The National Quality Forum's safe practice scores are significantly and positively correlated to hospital X-inefficiency levels (beta = .105, p < or = .05). The analysis of the value proposition had very good explanatory power (adjusted R(2) = .414; p < or = .001; df = 7, 265). Contrary to earlier findings, health maintenance organization penetration and being a teaching hospital were positively related to X-inefficiency. Similar with others' findings, greater market share and for-profit ownership were negatively associated with X-inefficiency. Measurement of overall hospital quality is improving but can still be made better. Nevertheless, the National Quality Forum's measure is significantly related to efficiency and could be used to create differential pay-for-performance programs. A market-segmented analytic strategy for studying hospitals' efficiency yields results with a high degree of explanatory power.
Hogan, Dianna; Arthaud, Greg; Pattison, Malka; Sayre, Roger G.; Shapiro, Carl
2010-01-01
The analytical framework for understanding ecosystem services in conservation, resource management, and development decisions is multidisciplinary, encompassing a combination of the natural and social sciences. This report summarizes a workshop on 'Developing an Analytical Framework: Incorporating Ecosystem Services into Decision Making,' which focused on the analytical process and on identifying research priorities for assessing ecosystem services, their production and use, their spatial and temporal characteristics, their relationship with natural systems, and their interdependencies. Attendees discussed research directions and solutions to key challenges in developing the analytical framework. The discussion was divided into two sessions: (1) the measurement framework: quantities and values, and (2) the spatial framework: mapping and spatial relationships. This workshop was the second of three preconference workshops associated with ACES 2008 (A Conference on Ecosystem Services): Using Science for Decision Making in Dynamic Systems. These three workshops were designed to explore the ACES 2008 theme on decision making and how the concept of ecosystem services can be more effectively incorporated into conservation, restoration, resource management, and development decisions. Preconference workshop 1, 'Developing a Vision: Incorporating Ecosystem Services into Decision Making,' was held on April 15, 2008, in Cambridge, MA. In preconference workshop 1, participants addressed what would have to happen to make ecosystem services be used more routinely and effectively in conservation, restoration, resource management, and development decisions, and they identified some key challenges in developing the analytical framework. Preconference workshop 3, 'Developing an Institutional Framework: Incorporating Ecosystem Services into Decision Making,' was held on October 30, 2008, in Albuquerque, NM; participants examined the relationship between the institutional framework and the use of ecosystem services in decision making.
Transforming an EPA QA/R-2 quality management plan into an ISO 9002 quality management system.
Kell, R A; Hedin, C M; Kassakhian, G H; Reynolds, E S
2001-01-01
The Environmental Protection Agency's (EPA) Office of Emergency and Remedial Response (OERR) requires environmental data of known quality to support Superfund hazardous waste site projects. The Quality Assurance Technical Support (QATS) Program is operated by Shaw Environmental and Infrastructure, Inc. to provide EPA's Analytical Operations Center (AOC) with performance evaluation samples, reference materials, on-site laboratory auditing capabilities, data audits (including electronic media data audits), methods development, and other support services. The new QATS contract awarded in November 2000 required that the QATS Program become ISO 9000 certified. In a first for an EPA contractor, the QATS staff and management successfully transformed EPA's QA/R-2 type Quality Management Plan into a Quality Management System (QMS) that complies with the requirements of the internationally recognized ISO 9002 standard and achieved certification in the United States, Canada, and throughout Europe. The presentation describes how quality system elements of ISO 9002 were implemented on an already existing quality system. The psychological and organizational challenges of the culture change in QATS' day-to-day operations will be discussed for the benefit of other ISO 9000 aspirants.
Conventional approaches to water quality characterization can provide data on individual chemical components of each water sample. This analyte-by-analyte approach currently serves many useful research and compliance monitoring needs. However these approaches, which require a ...
Dzakpasu, Susie; Powell-Jackson, Timothy; Campbell, Oona M R
2014-03-01
To assess the evidence of the impact of user fees on maternal health service utilization and related health outcomes in low- and middle-income countries, as well as their impact on inequalities in these outcomes. Studies were identified by modifying a search strategy from a related systematic review. Primary studies of any design were included if they reported the effect of fee changes on maternal health service utilization, related health outcomes and inequalities in these outcomes. For each study, data were systematically extracted and a quality assessment conducted. Due to the heterogeneity of study methods, results were examined narratively. Twenty studies were included. Designs and analytic approaches comprised: two interrupted time series, eight repeated cross-sectional, nine before-and-after without comparison groups and one before-and-after in three groups. Overall, the quality of studies was poor. Few studies addressed potential sources of bias, such as secular trends over time, and even basic tests of statistical significance were often not reported. Consistency in the direction of effects provided some evidence of an increase in facility delivery in particular after fees were removed, as well as possible increases in the number of managed delivery complications. There was little evidence of the effect on health outcomes or inequality in accessing care and, where available, the direction of effect varied. Despite the global momentum to abolish user fees for maternal and child health services, robust evidence quantifying impact remains scant. Improved methods for evaluating and reporting on these interventions are recommended, including better descriptions of the interventions and context, looking at a range of outcome measures, and adopting robust analytical methods that allow for adjustment of underlying and seasonal trends, reporting immediate as well as longer-term (e.g. at 6 months and 1 year) effects and using comparison groups where possible.
Rural/Urban and Socioeconomic Differentials in Quality of Antenatal Care in Ghana
Afulani, Patience A.
2015-01-01
Background Approximately 800 women die of pregnancy-related complications every day. Over half of these deaths occur in sub-Saharan Africa (SSA). Most maternal deaths can be prevented with high quality maternal health services. It is well established that use of maternal health services vary by place of residence and socioeconomic status (SES), but few studies have examined the determinants of quality of maternal health services in SSA. The purpose of this study is to examine the determinants of antenatal care (ANC) quality in Ghana–focusing on the role of place of residence and SES (education and wealth). The analysis also examines the interactions of these variables and the mediating role of ANC timing, frequency, facility type, and provider type. Methods The data are from the Ghana Maternal Health Survey (N = 4,868). Analytic techniques include multilevel linear regression with mediation and moderation analysis. Results Urban residence and higher SES are positively associated with higher ANC quality, but the urban effect is completely explained by sociodemographic factors. Specifically, about half of the urban effect is explained by education and wealth alone, with other variables accounting for the remainder. The effects of education are conditional on wealth and are strongest for poor women. Starting ANC visits early and attending the recommended four visits as well as receiving ANC from a higher level facility and from a skilled provider are associated with higher quality ANC. These factors partially explain the SES differentials. Implications Ghanaian women experience significant disparities in quality of ANC, with poor illiterate women receiving the worst care. Targeted efforts to increase quality of ANC may significantly reduce maternal health disparities in Ghana and SSA. A particularly crucial step is to improve ANC quality in the lower level health facilities, where the most vulnerable women are more likely to seek ANC. PMID:25695737
Tien, Kai-Wen; Kulvatunyou, Boonserm; Jung, Kiwook; Prabhu, Vittaldas
2017-01-01
As cloud computing is increasingly adopted, the trend is to offer software functions as modular services and compose them into larger, more meaningful ones. The trend is attractive to analytical problems in the manufacturing system design and performance improvement domain because 1) finding a global optimization for the system is a complex problem; and 2) sub-problems are typically compartmentalized by the organizational structure. However, solving sub-problems by independent services can result in a sub-optimal solution at the system level. This paper investigates the technique called Analytical Target Cascading (ATC) to coordinate the optimization of loosely-coupled sub-problems, each may be modularly formulated by differing departments and be solved by modular analytical services. The result demonstrates that ATC is a promising method in that it offers system-level optimal solutions that can scale up by exploiting distributed and modular executions while allowing easier management of the problem formulation.
Hanford analytical sample projections FY 1998--FY 2002
DOE Office of Scientific and Technical Information (OSTI.GOV)
Joyce, S.M.
1998-02-12
Analytical Services projections are compiled for the Hanford site based on inputs from the major programs for the years 1998 through 2002. Projections are categorized by radiation level, protocol, sample matrix and program. Analyses requirements are also presented. This document summarizes the Hanford sample projections for fiscal years 1998 to 2002. Sample projections are based on inputs submitted to Analytical Services covering Environmental Restoration, Tank Waste Remediation Systems (TWRS), Solid Waste, Liquid Effluents, Spent Nuclear Fuels, Transition Projects, Site Monitoring, Industrial Hygiene, Analytical Services and miscellaneous Hanford support activities. In addition, details on laboratory scale technology (development) work, Sample Management,more » and Data Management activities are included. This information will be used by Hanford Analytical Services (HAS) and the Sample Management Working Group (SMWG) to assure that laboratories and resources are available and effectively utilized to meet these documented needs.« less
Federal Register 2010, 2011, 2012, 2013, 2014
2013-05-15
...), Experian, Experian U.S. Headquarters: Corporate Departments (finance, HRMD, Contracts, Corporate Marketing...: Corporate Departments (finance, HRMD, Contracts, Corporate Marketing, Global Corporate Systems, Legal..., Business Information Services, Corporate Marketing, Credit Services, Data Management, Decision Analytics...
7 CFR 91.39 - Premium hourly fee rates for overtime and legal holiday service.
Code of Federal Regulations, 2013 CFR
2013-01-01
... overtime work. When analytical testing in a Science and Technology facility requires the services of... (CONTINUED) COMMODITY LABORATORY TESTING PROGRAMS SERVICES AND GENERAL INFORMATION Fees and Charges § 91.39 Premium hourly fee rates for overtime and legal holiday service. (a) When analytical testing in a Science...
7 CFR 91.39 - Premium hourly fee rates for overtime and legal holiday service.
Code of Federal Regulations, 2014 CFR
2014-01-01
... overtime work. When analytical testing in a Science and Technology facility requires the services of... (CONTINUED) COMMODITY LABORATORY TESTING PROGRAMS SERVICES AND GENERAL INFORMATION Fees and Charges § 91.39 Premium hourly fee rates for overtime and legal holiday service. (a) When analytical testing in a Science...
7 CFR 91.39 - Premium hourly fee rates for overtime and legal holiday service.
Code of Federal Regulations, 2012 CFR
2012-01-01
... overtime work. When analytical testing in a Science and Technology facility requires the services of... (CONTINUED) COMMODITY LABORATORY TESTING PROGRAMS SERVICES AND GENERAL INFORMATION Fees and Charges § 91.39 Premium hourly fee rates for overtime and legal holiday service. (a) When analytical testing in a Science...
7 CFR 91.39 - Premium hourly fee rates for overtime and legal holiday service.
Code of Federal Regulations, 2011 CFR
2011-01-01
... overtime work. When analytical testing in a Science and Technology facility requires the services of... (CONTINUED) COMMODITY LABORATORY TESTING PROGRAMS SERVICES AND GENERAL INFORMATION Fees and Charges § 91.39 Premium hourly fee rates for overtime and legal holiday service. (a) When analytical testing in a Science...
Useful measures and models for analytical quality management in medical laboratories.
Westgard, James O
2016-02-01
The 2014 Milan Conference "Defining analytical performance goals 15 years after the Stockholm Conference" initiated a new discussion of issues concerning goals for precision, trueness or bias, total analytical error (TAE), and measurement uncertainty (MU). Goal-setting models are critical for analytical quality management, along with error models, quality-assessment models, quality-planning models, as well as comprehensive models for quality management systems. There are also critical underlying issues, such as an emphasis on MU to the possible exclusion of TAE and a corresponding preference for separate precision and bias goals instead of a combined total error goal. This opinion recommends careful consideration of the differences in the concepts of accuracy and traceability and the appropriateness of different measures, particularly TAE as a measure of accuracy and MU as a measure of traceability. TAE is essential to manage quality within a medical laboratory and MU and trueness are essential to achieve comparability of results across laboratories. With this perspective, laboratory scientists can better understand the many measures and models needed for analytical quality management and assess their usefulness for practical applications in medical laboratories.
You, Seng Chan; Lee, Seongwon; Cho, Soo-Yeon; Park, Hojun; Jung, Sungjae; Cho, Jaehyeong; Yoon, Dukyong; Park, Rae Woong
2017-01-01
It is increasingly necessary to generate medical evidence applicable to Asian people compared to those in Western countries. Observational Health Data Sciences a Informatics (OHDSI) is an international collaborative which aims to facilitate generating high-quality evidence via creating and applying open-source data analytic solutions to a large network of health databases across countries. We aimed to incorporate Korean nationwide cohort data into the OHDSI network by converting the national sample cohort into Observational Medical Outcomes Partnership-Common Data Model (OMOP-CDM). The data of 1.13 million subjects was converted to OMOP-CDM, resulting in average 99.1% conversion rate. The ACHILLES, open-source OMOP-CDM-based data profiling tool, was conducted on the converted database to visualize data-driven characterization and access the quality of data. The OMOP-CDM version of National Health Insurance Service-National Sample Cohort (NHIS-NSC) can be a valuable tool for multiple aspects of medical research by incorporation into the OHDSI research network.
Hanford Internal Dosimetry Project manual. Revision 1
DOE Office of Scientific and Technical Information (OSTI.GOV)
Carbaugh, E.H.; Bihl, D.E.; MacLellan, J.A.
1994-07-01
This document describes the Hanford Internal Dosimetry Project, as it is administered by Pacific Northwest Laboratory (PNL) in support of the US Department of Energy and its Hanford contractors. Project services include administrating the bioassay monitoring program, evaluating and documenting assessment of potential intakes and internal dose, ensuring that analytical laboratories conform to requirements, selecting and applying appropriate models and procedures for evaluating radionuclide deposition and the resulting dose, and technically guiding and supporting Hanford contractors in matters regarding internal dosimetry. Specific chapters deal with the following subjects: practices of the project, including interpretation of applicable DOE Orders, regulations, andmore » guidance into criteria for assessment, documentation, and reporting of doses; assessment of internal dose, including summary explanations of when and how assessments are performed; recording and reporting practices for internal dose; selection of workers for bioassay monitoring and establishment of type and frequency of bioassay measurements; capability and scheduling of bioassay monitoring services; recommended dosimetry response to potential internal exposure incidents; quality control and quality assurance provisions of the program.« less
MAGI: a Node.js web service for fast microRNA-Seq analysis in a GPU infrastructure.
Kim, Jihoon; Levy, Eric; Ferbrache, Alex; Stepanowsky, Petra; Farcas, Claudiu; Wang, Shuang; Brunner, Stefan; Bath, Tyler; Wu, Yuan; Ohno-Machado, Lucila
2014-10-01
MAGI is a web service for fast MicroRNA-Seq data analysis in a graphics processing unit (GPU) infrastructure. Using just a browser, users have access to results as web reports in just a few hours->600% end-to-end performance improvement over state of the art. MAGI's salient features are (i) transfer of large input files in native FASTA with Qualities (FASTQ) format through drag-and-drop operations, (ii) rapid prediction of microRNA target genes leveraging parallel computing with GPU devices, (iii) all-in-one analytics with novel feature extraction, statistical test for differential expression and diagnostic plot generation for quality control and (iv) interactive visualization and exploration of results in web reports that are readily available for publication. MAGI relies on the Node.js JavaScript framework, along with NVIDIA CUDA C, PHP: Hypertext Preprocessor (PHP), Perl and R. It is freely available at http://magi.ucsd.edu. © The Author 2014. Published by Oxford University Press.
Bell, Erica; Campbell, Steve; Goldberg, Lynette R
2015-01-22
The most important and contested element of nursing identity may be the patient-centredness of nursing, though this concept is not well-treated in the nursing identity literature. More conceptually-based mapping of nursing identity constructs are needed to help nurses shape their identity. The field of computational text analytics offers new opportunities to scrutinise how growing disciplines such as health services research construct nursing identity. This paper maps the conceptual content of scholarly health services research in PubMed as it relates to the patient-centeredness of nursing. Computational text analytics software was used to analyse all health services abstracts in the database PubMed since 1986. Abstracts were treated as indicative of the content of health services research. The database PubMed was searched for all research papers using the term "service" or "services" in the abstract or keywords for the period 01/01/1986 to 30/06/2013. A total of 234,926 abstracts were obtained. Leximancer software was used in 1) mapping of 4,144,458 instances of 107 concepts; 2) analysis of 106 paired concept co-occurrences for the nursing concept; and 3) sentiment analysis of the nursing concept versus patient, family and community concepts, and clinical concepts. Nursing is constructed within quality assurance or service implementation or workforce development concepts. It is relatively disconnected from patient, family or community care concepts. For those who agree that patient-centredness should be a part of nursing identity in practice, this study suggests that there is a need for development of health services research into both the nature of the caring construct in nursing identity and its expression in practice. More fundamentally, the study raises questions about whether health services research cultures even value the politically popular idea of nurses as patient-centred caregivers and whether they should.
Farzianpour, Fereshteh; Rahimi Foroushani, Abbas; Shahidi Sadeghi, Niusha; Ansari Nosrati, Saeede
2016-09-07
Patient's satisfaction with hospital services is one of the most important indicators of efficiency and quality of services of different hospital wards. This cross-sectional descriptive analytical study was conducted in 2015. The study population included patients in gynecological hospitals of TUMS, and by using questionnaires; data were collected from 304 patients. Statistical analysis was performed using the SPSS 22. The rights of patients were mainly observed through "quality of care" (Mean ± SD: 9.65 ± 2.62), "knowing the charges and the right to complain"; (Mean ± SD: 6.00 ± 2.5) "presence of an active system to handle complaints of patients in the hospital and explanation of the error that occurred during service provision to patients by the wrongdoer" is the lowest (7.5 ± 2.62). It was found that patients' satisfaction is below the mean and its different aspects are higher than the mean level. However, the services of physicians and feeding recorded the highest and lowest satisfaction, respectively (19.4 ± 4.25, 20.77 ± 4.39). The mean score of satisfaction of patients admitted with nursing physical care was 24.5 ± 6.2. Overall, patients' satisfaction with hospital services was close to the mean. Deficiencies and grievances should be resolved with a correct measure.
Importance of implementing an analytical quality control system in a core laboratory.
Marques-Garcia, F; Garcia-Codesal, M F; Caro-Narros, M R; Contreras-SanFeliciano, T
2015-01-01
The aim of the clinical laboratory is to provide useful information for screening, diagnosis and monitoring of disease. The laboratory should ensure the quality of extra-analytical and analytical process, based on set criteria. To do this, it develops and implements a system of internal quality control, designed to detect errors, and compare its data with other laboratories, through external quality control. In this way it has a tool to detect the fulfillment of the objectives set, and in case of errors, allowing corrective actions to be made, and ensure the reliability of the results. This article sets out to describe the design and implementation of an internal quality control protocol, as well as its periodical assessment intervals (6 months) to determine compliance with pre-determined specifications (Stockholm Consensus(1)). A total of 40 biochemical and 15 immunochemical methods were evaluated using three different control materials. Next, a standard operation procedure was planned to develop a system of internal quality control that included calculating the error of the analytical process, setting quality specifications, and verifying compliance. The quality control data were then statistically depicted as means, standard deviations, and coefficients of variation, as well as systematic, random, and total errors. The quality specifications were then fixed and the operational rules to apply in the analytical process were calculated. Finally, our data were compared with those of other laboratories through an external quality assurance program. The development of an analytical quality control system is a highly structured process. This should be designed to detect errors that compromise the stability of the analytical process. The laboratory should review its quality indicators, systematic, random and total error at regular intervals, in order to ensure that they are meeting pre-determined specifications, and if not, apply the appropriate corrective actions. Copyright © 2015 SECA. Published by Elsevier Espana. All rights reserved.
DOE Office of Scientific and Technical Information (OSTI.GOV)
Green, D.W.; Heinrich, R.R.; Jensen, K.J.
The Analytical Chemistry Laboratory is a full-cost-recovery service center, with the primary mission of providing a broad range of technical support services to the scientific and engineering programs at ANL. In addition, ACL conducts a research program in analytical chemistry, works on instrumental and methods development, and provides analytical services for governmental, educational, and industrial organizations. The ACL handles a wide range of analytical problems, from routine standard analyses to unique problems that require significant development of methods and techniques. The purpose of this report is to summarize the technical and administrative activities of the Analytical Chemistry Laboratory (ACL) atmore » Argonne National Laboratory (ANL) for Fiscal Year 1985 (October 1984 through September 1985). This is the second annual report for the ACL. 4 figs., 1 tab.« less
Health Analytics and Vital Records
State Employees Health Analytics and Vital Records DHSS State of Alaska Home Divisions and Agencies Alaska Pioneer Homes Behavioral Health Office of Children's Services Office of the Commissioner Office of Substance Misuse and Addiction Prevention Finance & Management Services Health Care Services Juvenile
Technical requirements for bioassay support services
DOE Office of Scientific and Technical Information (OSTI.GOV)
Hickman, D.P.; Anderson, A.L.
1991-05-01
This document provides the technical basis for the Chem-Nuclear Geotech (Geotech) bioassay program. It includes information and details that can be used as a model in providing technical contents and requirements for bioassay laboratory support, either internally or in solicitations by Geotech to obtain subcontractor laboratory support. It provides a detailed summary and description of the types of bioassay samples to be expected in support of Geotech remedial projects for the US Department of Energy and the bioassay services and analytical requirements necessary to process such samples, including required limits of sensitivity. General responsibilities of the bioassay laboratory are alsomore » addressed, including quality assurance. Peripheral information of importance to the program is included in the appendices of this document. 7 tabs.« less
Shaw, Leslee J; Blankstein, Ron; Jacobs, Jill E; Leipsic, Jonathon A; Kwong, Raymond Y; Taqueti, Viviany R; Beanlands, Rob S B; Mieres, Jennifer H; Flamm, Scott D; Gerber, Thomas C; Spertus, John; Di Carli, Marcelo F
2017-12-01
The aims of the current statement are to refine the definition of quality in cardiovascular imaging and to propose novel methodological approaches to inform the demonstration of quality in imaging in future clinical trials and registries. We propose defining quality in cardiovascular imaging using an analytical framework put forth by the Institute of Medicine whereby quality was defined as testing being safe, effective, patient-centered, timely, equitable, and efficient. The implications of each of these components of quality health care are as essential for cardiovascular imaging as they are for other areas within health care. Our proposed statement may serve as the foundation for integrating these quality indicators into establishing designations of quality laboratory practices and developing standards for value-based payment reform for imaging services. We also include recommendations for future clinical research to fulfill quality aims within cardiovascular imaging, including clinical hypotheses of improving patient outcomes, the importance of health status as an end point, and deferred testing options. Future research should evolve to define novel methods optimized for the role of cardiovascular imaging for detecting disease and guiding treatment and to demonstrate the role of cardiovascular imaging in facilitating healthcare quality. © 2017 American Heart Association, Inc.
Plebani, Mario
2018-05-24
In the last few decades, laboratory medicine has undergone monumental changes, and laboratory technology, which has made enormous advances, now has new clinical applications thanks to the identification of a growing number of biomarkers and risk factors conducive to the promotion of predictive and preventive interventions that have enhanced the role of laboratory medicine in health care delivering. However, the paradigm shift in the past 50 years has led to a gap between laboratory and clinic, with an increased risk of inappropriateness in test request and interpretation, as well as the consolidation of analytical work in focused factories and megastructurers oriented only toward achieving greater volumes, decreasing cost per test and generating a vision of laboratory services as simple commodities. A careful historical revision of the changing models for delivering laboratory services in the United States leads to the prediction that there are several reasons for counteracting the vision of clinical laboratory as a commodity, and restoring the true nature of laboratory services as an integral part of the diagnosis and therapy process. The present study, which reports on internal and external drivers for change, proposes an integrated vision of quality in laboratory medicine.
Chauhan, Kiran P; Trivedi, Amit P; Patel, Dharmik; Gami, Bhakti; Haridas, N
2014-10-01
Quality can be defined as the ability of a product or service to satisfy the needs and expectations of the customer. Laboratories are more focusing on technical and analytical quality for reliability and accuracy of test results. Patients and clinicians however are interested in rapid, reliable and efficient service from laboratory. Turn around time (TAT), the timeliness with which laboratory personnel deliver test results, is one of the most noticeable signs of laboratory service and is often used as a key performance indicator of laboratory performance. This study is aims to provide clue for laboratory TAT monitoring and root cause analysis. In a 2 year period a total of 75,499 specimens of outdoor patient department were monitor, of this a total of 4,142 specimens exceeded TAT. With consistent efforts to monitor, root cause analysis and corrective measures, we are able to decreased the specimens exceeding TAT from 7-8 to 3.7 %. Though it is difficult task to monitor TAT with the help of laboratory information system, real time documentation and authentic data retrievable, along with identification of causes for delays and its remedial measures, improve laboratory TAT and thus patient satisfaction.
Renedo, Alicia; Marston, Cicely
2015-04-23
Understanding quality improvement from a patient perspective is important for delivering patient-centred care. Yet the ways patients define quality improvement remains unexplored with patients often excluded from improvement work. We examine how patients construct ideas of 'quality improvement' when collaborating with healthcare professionals in improvement work, and how they use these understandings when attempting to improve the quality of their local services. We used in-depth interviews with 23 'patient participants' (patients involved in quality improvement work) and observations in several sites in London as part of a four-year ethnographic study of patient and public involvement (PPI) activities run by Collaborations for Leadership in Applied Health Research and Care for Northwest London. We took an iterative, thematic and discursive analytical approach. When patient participants tried to influence quality improvement or discussed different dimensions of quality improvement their accounts and actions frequently started with talk about improvement as dependent on collective action (e.g. multidisciplinary healthcare professionals and the public), but usually quickly shifted away from that towards a neoliberal discourse emphasising the role of individual patients. Neoliberal ideals about individual responsibility were taken up in their accounts moving them away from the idea of state and healthcare providers being held accountable for upholding patients' rights to quality care, and towards the idea of citizens needing to work on self-improvement. Participants portrayed themselves as governed by self-discipline and personal effort in their PPI work, and in doing so provided examples of how neoliberal appeals for self-regulation and self-determination also permeated their own identity positions. When including patient voices in measuring and defining 'quality', governments and public health practitioners should be aware of how neoliberal rationalities at the heart of policy and services may discourage consumers from claiming rights to quality care by contributing to public unwillingness to challenge the status quo in service provision. If the democratic potential of patient and public involvement initiatives is to be realised, it will be crucial to help citizens to engage critically with how neoliberal rationalities can undermine their abilities to demand quality care.
Quality specification in haematology: the automated blood cell count.
Buttarello, Mauro
2004-08-02
Quality specifications for automated blood cell counts include topics that go beyond the traditional analytic stage (imprecision, inaccuracy, quality control) and extend to pre- and post-analytic phases. In this review pre-analytic aspects concerning the choice of anticoagulants, maximum conservation times and differences between storage at room temperature or at 4 degrees C are considered. For the analytic phase, goals for imprecision and bias obtained with various approaches (ratio to biologic variation, state of the art, specific clinical situations) are evaluated. For the post-analytic phase, medical review criteria (algorithm, decision limit and delta check) and the structure of the report (general part and comments), which constitutes the formal act through which a laboratory communicates with clinicians, are considered. K2EDTA is considered the anticoagulant of choice for automated cell counts. Regarding storage, specimens should be analyzed as soon as possible. Storage at 4 degrees C may stabilize specimens from 24 to 72 h when complete blood count (CBC) and differential leucocyte count (DLC) is performed. For precision, analytical goals based on the state of the art are acceptable while for bias this is satisfactory only for some parameters. In haematology quality specifications for pre- and analytical phases are important, but the review criteria and the quality of the report play a central role in assuring a definite clinical value.
Decentralized energy systems for clean electricity access
NASA Astrophysics Data System (ADS)
Alstone, Peter; Gershenson, Dimitry; Kammen, Daniel M.
2015-04-01
Innovative approaches are needed to address the needs of the 1.3 billion people lacking electricity, while simultaneously transitioning to a decarbonized energy system. With particular focus on the energy needs of the underserved, we present an analytic and conceptual framework that clarifies the heterogeneous continuum of centralized on-grid electricity, autonomous mini- or community grids, and distributed, individual energy services. A historical analysis shows that the present day is a unique moment in the history of electrification where decentralized energy networks are rapidly spreading, based on super-efficient end-use appliances and low-cost photovoltaics. We document how this evolution is supported by critical and widely available information technologies, particularly mobile phones and virtual financial services. These disruptive technology systems can rapidly increase access to basic electricity services and directly inform the emerging Sustainable Development Goals for quality of life, while simultaneously driving action towards low-carbon, Earth-sustaining, inclusive energy systems.
Information Tailoring Enhancements for Large Scale Social Data
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
NASA Astrophysics Data System (ADS)
Tamkin, G.; Schnase, J. L.; Duffy, D.; Li, J.; Strong, S.; Thompson, J. H.
2016-12-01
We are extending climate analytics-as-a-service, including: (1) A high-performance Virtual Real-Time Analytics Testbed supporting six major reanalysis data sets using advanced technologies like the Cloudera Impala-based SQL and Hadoop-based MapReduce analytics over native NetCDF files. (2) A Reanalysis Ensemble Service (RES) that offers a basic set of commonly used operations over the reanalysis collections that are accessible through NASA's climate data analytics Web services and our client-side Climate Data Services Python library, CDSlib. (3) An Open Geospatial Consortium (OGC) WPS-compliant Web service interface to CDSLib to accommodate ESGF's Web service endpoints. This presentation will report on the overall progress of this effort, with special attention to recent enhancements that have been made to the Reanalysis Ensemble Service, including the following: - An CDSlib Python library that supports full temporal, spatial, and grid-based resolution services - A new reanalysis collections reference model to enable operator design and implementation - An enhanced library of sample queries to demonstrate and develop use case scenarios - Extended operators that enable single- and multiple reanalysis area average, vertical average, re-gridding, and trend, climatology, and anomaly computations - Full support for the MERRA-2 reanalysis and the initial integration of two additional reanalyses - A prototype Jupyter notebook-based distribution mechanism that combines CDSlib documentation with interactive use case scenarios and personalized project management - Prototyped uncertainty quantification services that combine ensemble products with comparative observational products - Convenient, one-stop shopping for commonly used data products from multiple reanalyses, including basic subsetting and arithmetic operations over the data and extractions of trends, climatologies, and anomalies - The ability to compute and visualize multiple reanalysis intercomparisons
ERIC Educational Resources Information Center
Shimokawa, Kenichi; Lambert, Michael J.; Smart, David W.
2010-01-01
Objective: Outcome research has documented worsening among a minority of the patient population (5% to 10%). In this study, we conducted a meta-analytic and mega-analytic review of a psychotherapy quality assurance system intended to enhance outcomes in patients at risk of treatment failure. Method: Original data from six major studies conducted…
Jassam, Nuthar; Yundt-Pacheco, John; Jansen, Rob; Thomas, Annette; Barth, Julian H
2013-08-01
The implementation of national and international guidelines is beginning to standardise clinical practice. However, since many guidelines have decision limits based on laboratory tests, there is an urgent need to ensure that different laboratories obtain the same analytical result on any sample. A scientifically-based quality control process will be a pre-requisite to provide this level of analytical performance which will support evidence-based guidelines and movement of patients across boundaries while maintaining standardised outcomes. We discuss the finding of a pilot study performed to assess UK clinical laboratories readiness to work to a higher grade quality specifications such as biological variation-based quality specifications. Internal quality control (IQC) data for HbA1c, glucose, creatinine, cholesterol and high density lipoprotein (HDL)-cholesterol were collected from UK laboratories participating in the Bio-Rad Unity QC programme. The median of the coefficient of variation (CV%) of the participating laboratories was evaluated against the CV% based on biological variation. Except creatinine, the other four analytes had a variable degree of compliance with the biological variation-based quality specifications. More than 75% of the laboratories met the biological variation-based quality specifications for glucose, cholesterol and HDL-cholesterol. Slightly over 50% of the laboratories met the analytical goal for HBA1c. Only one analyte (cholesterol) had a performance achieving the higher quality specifications consistent with 5σ. Our data from IQC do not consistently demonstrate that the results from clinical laboratories meet evidence-based quality specifications. Therefore, we propose that a graded scale of quality specifications may be needed at this stage.
NASA Astrophysics Data System (ADS)
Nurhasanah, F.; Kusumah, Y. S.; Sabandar, J.; Suryadi, D.
2018-05-01
As one of the non-conventional mathematics concepts, Parallel Coordinates is potential to be learned by pre-service mathematics teachers in order to give them experiences in constructing richer schemes and doing abstraction process. Unfortunately, the study related to this issue is still limited. This study wants to answer a research question “to what extent the abstraction process of pre-service mathematics teachers in learning concept of Parallel Coordinates could indicate their performance in learning Analytic Geometry”. This is a case study that part of a larger study in examining mathematical abstraction of pre-service mathematics teachers in learning non-conventional mathematics concept. Descriptive statistics method is used in this study to analyze the scores from three different tests: Cartesian Coordinate, Parallel Coordinates, and Analytic Geometry. The participants in this study consist of 45 pre-service mathematics teachers. The result shows that there is a linear association between the score on Cartesian Coordinate and Parallel Coordinates. There also found that the higher levels of the abstraction process in learning Parallel Coordinates are linearly associated with higher student achievement in Analytic Geometry. The result of this study shows that the concept of Parallel Coordinates has a significant role for pre-service mathematics teachers in learning Analytic Geometry.
Sigma Metrics Across the Total Testing Process.
Charuruks, Navapun
2017-03-01
Laboratory quality control has been developed for several decades to ensure patients' safety, from a statistical quality control focus on the analytical phase to total laboratory processes. The sigma concept provides a convenient way to quantify the number of errors in extra-analytical and analytical phases through the defect per million and sigma metric equation. Participation in a sigma verification program can be a convenient way to monitor analytical performance continuous quality improvement. Improvement of sigma-scale performance has been shown from our data. New tools and techniques for integration are needed. Copyright © 2016 Elsevier Inc. All rights reserved.
[Internet presence of psychiatrists in private practice. Status, chances and legal framework].
Kuhnigk, O; Ramuschkat, M; Schreiner, J; Schäfer, I; Reimer, J
2013-05-01
Physicians increasingly use home pages to call attention to their practice. Based on predefined criteria, this study examines the web presence of psychiatrists and medical psychotherapists in private practice. All registered psychiatrists and psychotherapists of six northern German states were examined in May 2010 with regards to existence and quality of their web presence. Homepages were evaluated by means of a standardized criteria catalogue with 42 items. Statistical analysis comprised descriptive and analytic approaches (ANOVA, linear models). The analysis included 956 physicians, 168 of whom (17.6%) had a web presence. More physicians in city states had a web presence as compared to those in states with larger territories. However, there was no difference between eastern and western states. Male as compared to female physicians more often possessed an Internet presence. The average score was 19 (± 5.2) out of 42 items, with practices with more than one physician scoring higher than single physician practices. Websites often contained general information about the practice, medical services and diseases, and rarely online services, professional information about the physician, access for disabled, emergency services and holiday substitution. Legal requirements were not sufficiently considered by more than half of the physicians. Only a smaller number of psychiatrists and psychotherapists in private practice make use of their own web presence. The quality of information varies. The criteria catalogue used in this study may offer a guideline for development of a good quality Internet presence. A consensus Internet guideline with participation of physician chambers and medical societies would be of use to establish quality standards.
Rivas, Carol; Taylor, Stephanie; Abbott, Stephen; Clarke, Aileen; Griffiths, Chris; Roberts, C Michael; Stone, Robert
2012-01-01
The purpose of this paper is to examine perceptions of local service change and concepts of change amongst participants in a UK nationwide randomised controlled trial of informal, structured, reciprocated, multidisciplinary peer review with feedback to promote quality improvement: the National Chronic Obstructive Pulmonary Disease Resources and Outcomes Project (NCROP). The paper takes the form of a qualitative study, involving semi-structured interviews with 43 hospital respiratory consultants, nurses and general managers at 24 intervention and 11 control NCROP sites. Thematic analysis resulted in adoption of Joss and Kogan's quality indicators as an analytic framework. The paper finds that peer review was associated with positive changes, which may lead to sustained service improvement. Differences existed in perceptions of change among clinicians and between clinicians and managers. "Generic changes" (e.g. changes in interpersonal relations or cultural changes), were often not perceived as change. The study highlights the significance of generic change in evaluations of change processes. Most participants were clinicians limiting inter-professional comparisons. Some clinical staff failed to recognise changes they accomplished or their significance, perceiving change differently to others within their professional group. These findings have implications for policy and research. They should be considered when developing frameworks for assessing quality improvements and staff engagement with change. This is the first qualitative study exploring participants' experience of peer review for quality improvement in healthcare. The study adds to previous research into UK health service improvement, which has had a more restricted focus on inter-professional differences.
An Analytical Hierarchy Process Model for the Evaluation of College Experimental Teaching Quality
ERIC Educational Resources Information Center
Yin, Qingli
2013-01-01
Taking into account the characteristics of college experimental teaching, through investigaton and analysis, evaluation indices and an Analytical Hierarchy Process (AHP) model of experimental teaching quality have been established following the analytical hierarchy process method, and the evaluation indices have been given reasonable weights. An…
21 CFR 165.110 - Bottled water.
Code of Federal Regulations, 2014 CFR
2014-04-01
.... (3) Physical quality. Bottled water shall, when a composite of analytical units of equal volume from.... 1 (4) Chemical quality. (i)(A) Bottled water shall, when a composite of analytical units of equal... bottled water, when a composite of analytical units of equal volume from a sample is examined by the...
[Laboratory accreditation and proficiency testing].
Kuwa, Katsuhiko
2003-05-01
ISO/TC 212 covering clinical laboratory testing and in vitro diagnostic test systems will issue the international standard for medical laboratory quality and competence requirements, ISO 15189. This standard is based on the ISO/IEC 17025, general requirements for competence of testing and calibration laboratories and ISO 9001, quality management systems-requirements. Clinical laboratory services are essential to patient care and therefore should be available to meet the needs of all patients and clinical personnel responsible for human health care. If a laboratory seeks accreditation, it should select an accreditation body that operates according to this international standard and in a manner which takes into account the particular requirements of clinical laboratories. Proficiency testing should be available to evaluate the calibration laboratories and reference measurement laboratories in clinical medicine. Reference measurement procedures should be of precise and the analytical principle of measurement applied should ensure reliability. We should be prepared to establish a quality management system and proficiency testing in clinical laboratories.
Gerassi, Lara; Edmond, Tonya E; Fabbre, Vanessa; Howard, Abby; Nichols, Andrea J
2017-12-01
Sex trafficking and commercial sexual exploitation (CSE) can lead to devastating health and mental health consequences for women, such as elevated rates of substance use, trauma, posttraumatic stress disorder, depression, sexually transmitted infections (STIs), and HIV. Consequently, engagement with services that address addiction, mental health, and housing, and provide general advocacy is critically important to women's increased safety, stabilization, and quality of life. The purpose of this study is to identify perceived barriers and facilitators to service access and engagement with social services among women involved in CSE. Drawing from a larger grounded theory study that partnered with an anti-trafficking coalition and a substance use treatment center for women, in-depth, semistructured interviews were conducted with 30 adult women who traded sex as adults and 20 service providers who come into contact with this population. Women engaging in services were sampled through maximum variation sampling ( n = 24) and women not engaged with services ( n = 6) were recruited through snowball sampling. Providers were recruited through purposive sampling through the coalition ( n = 10) and nominations sampling ( n = 10). Open and focused coding were conducted. Multiple enhancements to methodological and analytic rigor were taken, including collaboration with multiple key stakeholders, use of nonstigmatizing language, self-reflexivity processes, analytic memo-writing, and member checking. Findings suggest that women experienced judgment when disclosing sex trading in social service intakes, and individual and group sessions from providers and other women in the groups. Although some women saw disclosure as helpful in addressing the complex feelings stemming from sex trading, as well as the desire to help or relate to other women in similar situations, they also identified risk of harm and multiple barriers to disclosing during intake meetings and individual sessions with providers as well as group sessions with providers and other clients. Implications for individual and group practice are discussed.
Sensor-Based Optimization Model for Air Quality Improvement in Home IoT
Kim, Jonghyuk
2018-01-01
We introduce current home Internet of Things (IoT) technology and present research on its various forms and applications in real life. In addition, we describe IoT marketing strategies as well as specific modeling techniques for improving air quality, a key home IoT service. To this end, we summarize the latest research on sensor-based home IoT, studies on indoor air quality, and technical studies on random data generation. In addition, we develop an air quality improvement model that can be readily applied to the market by acquiring initial analytical data and building infrastructures using spectrum/density analysis and the natural cubic spline method. Accordingly, we generate related data based on user behavioral values. We integrate the logic into the existing home IoT system to enable users to easily access the system through the Web or mobile applications. We expect that the present introduction of a practical marketing application method will contribute to enhancing the expansion of the home IoT market. PMID:29570684
Sensor-Based Optimization Model for Air Quality Improvement in Home IoT.
Kim, Jonghyuk; Hwangbo, Hyunwoo
2018-03-23
We introduce current home Internet of Things (IoT) technology and present research on its various forms and applications in real life. In addition, we describe IoT marketing strategies as well as specific modeling techniques for improving air quality, a key home IoT service. To this end, we summarize the latest research on sensor-based home IoT, studies on indoor air quality, and technical studies on random data generation. In addition, we develop an air quality improvement model that can be readily applied to the market by acquiring initial analytical data and building infrastructures using spectrum/density analysis and the natural cubic spline method. Accordingly, we generate related data based on user behavioral values. We integrate the logic into the existing home IoT system to enable users to easily access the system through the Web or mobile applications. We expect that the present introduction of a practical marketing application method will contribute to enhancing the expansion of the home IoT market.
Rivera-Hernandez, Maricruz; Kumar, Amit; Epstein-Lubow, Gary; Thomas, Kali S
2018-04-01
This article examines differences in nursing home use and quality among Medicare beneficiaries, in both Medicare Advantage and fee-for-service, newly admitted to nursing homes with Alzheimer's disease and related dementias (ADRD). Retrospective, national, population-based study of Medicare residents newly admitted to nursing homes with ADRD by race and ethnic group. Our analytic sample included 1,302,099 nursing home residents-268,181 with a diagnosis of ADRD-in 13,532 nursing homes from 2014. We found that a larger share of Hispanic Medicare residents that are admitted to nursing homes have ADRD compared with African American and White beneficiaries. Both Hispanics and African Americans with ADRD received care in segregated nursing homes with fewer resources and lower quality of care compared with White residents. These results have implications for targeted efforts to achieve health care equity and quality improvement efforts among nursing homes that serve minority patients.
NASA Astrophysics Data System (ADS)
Cucu, Daniela; Woods, Mike
2008-08-01
The paper aims to present a practical approach for testing laboratories to ensure the quality of their test results. It is based on the experience gained in assessing a large number of testing laboratories, discussing with management and staff, reviewing results obtained in national and international PTs and ILCs and exchanging information in the EA laboratory committee. According to EN ISO/IEC 17025, an accredited laboratory has to implement a programme to ensure the quality of its test results for each measurand. Pre-analytical, analytical and post-analytical measures shall be applied in a systematic manner. They shall include both quality control and quality assurance measures. When designing the quality assurance programme a laboratory should consider pre-analytical activities (like personnel training, selection and validation of test methods, qualifying equipment), analytical activities ranging from sampling, sample preparation, instrumental analysis and post-analytical activities (like decoding, calculation, use of statistical tests or packages, management of results). Designed on different levels (analyst, quality manager and technical manager), including a variety of measures, the programme shall ensure the validity and accuracy of test results, the adequacy of the management system, prove the laboratory's competence in performing tests under accreditation and last but not least show the comparability of test results. Laboratory management should establish performance targets and review periodically QC/QA results against them, implementing appropriate measures in case of non-compliance.
Quality of Big Data in health care.
Sukumar, Sreenivas R; Natarajan, Ramachandran; Ferrell, Regina K
2015-01-01
The current trend in Big Data analytics and in particular health information technology is toward building sophisticated models, methods and tools for business, operational and clinical intelligence. However, the critical issue of data quality required for these models is not getting the attention it deserves. The purpose of this paper is to highlight the issues of data quality in the context of Big Data health care analytics. The insights presented in this paper are the results of analytics work that was done in different organizations on a variety of health data sets. The data sets include Medicare and Medicaid claims, provider enrollment data sets from both public and private sources, electronic health records from regional health centers accessed through partnerships with health care claims processing entities under health privacy protected guidelines. Assessment of data quality in health care has to consider: first, the entire lifecycle of health data; second, problems arising from errors and inaccuracies in the data itself; third, the source(s) and the pedigree of the data; and fourth, how the underlying purpose of data collection impact the analytic processing and knowledge expected to be derived. Automation in the form of data handling, storage, entry and processing technologies is to be viewed as a double-edged sword. At one level, automation can be a good solution, while at another level it can create a different set of data quality issues. Implementation of health care analytics with Big Data is enabled by a road map that addresses the organizational and technological aspects of data quality assurance. The value derived from the use of analytics should be the primary determinant of data quality. Based on this premise, health care enterprises embracing Big Data should have a road map for a systematic approach to data quality. Health care data quality problems can be so very specific that organizations might have to build their own custom software or data quality rule engines. Today, data quality issues are diagnosed and addressed in a piece-meal fashion. The authors recommend a data lifecycle approach and provide a road map, that is more appropriate with the dimensions of Big Data and fits different stages in the analytical workflow.
Climate Analytics as a Service
NASA Technical Reports Server (NTRS)
Schnase, John L.; Duffy, Daniel Q.; McInerney, Mark A.; Webster, W. Phillip; Lee, Tsengdar J.
2014-01-01
Climate science is a big data domain that is experiencing unprecedented growth. In our efforts to address the big data challenges of climate science, we are moving toward a notion of Climate Analytics-as-a-Service (CAaaS). CAaaS combines high-performance computing and data-proximal analytics with scalable data management, cloud computing virtualization, the notion of adaptive analytics, and a domain-harmonized API to improve the accessibility and usability of large collections of climate data. MERRA Analytic Services (MERRA/AS) provides an example of CAaaS. MERRA/AS enables MapReduce analytics over NASA's Modern-Era Retrospective Analysis for Research and Applications (MERRA) data collection. The MERRA reanalysis integrates observational data with numerical models to produce a global temporally and spatially consistent synthesis of key climate variables. The effectiveness of MERRA/AS has been demonstrated in several applications. In our experience, CAaaS is providing the agility required to meet our customers' increasing and changing data management and data analysis needs.
An Empirical Study on the Preference of Supermarkets with Analytic Hierarchy Process Model
NASA Astrophysics Data System (ADS)
Weng Siew, Lam; Singh, Ranjeet; Singh, Bishan; Weng Hoe, Lam; Kah Fai, Liew
2018-04-01
Large-scale retailers are very important to the consumers in this fast-paced world. Selection of desirable market to purchase products and services becomes major concern among consumers in their daily life due to vast choices available. Therefore, the objective of this paper is to determine the most preferred supermarket among AEON, Jaya Grocer, Tesco, Giant and Econsave by the undergraduate students in Malaysia with Analytic Hierarchy Process (AHP) model. Besides that, this study also aims to determine the priority of decision criteria in the selection of supermarkets among the undergraduatestudents with AHP model. The decision criteria employed in this study are product quality, competitive price, cleanliness, product variety, location, good price labelling, fast checkout and employee courtesy. The results of this study show that AEON is the most preferred supermarket followed by Jaya Grocer, Tesco, Econsave and Giant among the students based on AHP model. Product quality, cleanliness and competitive price are ranked as the top three influential factors in this study. This study is significant because it helps to determine the most preferred supermarket as well as the most influential decision criteria in the preference of supermarkets among the undergraduate students with AHP model.
Demand-based urban forest planning using high-resolution remote sensing and AHP
NASA Astrophysics Data System (ADS)
Kolanuvada, Srinivasa Raju; Mariappan, Muneeswaran; Krishnan, Vani
2016-05-01
Urban forest planning is important for providing better urban ecosystem services and conserve the natural carbon sinks inside the urban area. In this study, a demand based urban forest plan was developed for Chennai city by using Analytical Hierarchy Process (AHP) method. Population density, Tree cover, Air quality index and Carbon stocks are the parameters were considered in this study. Tree cover and Above Ground Biomass (AGB) layers were prepared at a resolution of 1m from airborne LiDAR and aerial photos. The ranks and weights are assigned by the spatial priority using AHP. The results show that, the actual status of the urban forest is not adequate to provide ecosystem services on spatial priority. From this perspective, we prepared a demand based plan for improving the urban ecosystem.
Suicide mortality at time of armed conflict in Ukraine.
Yur'yev, Andriy; Yur'yeva, Lyudmyla
2015-12-01
The purpose of this review is to explore the dynamics of suicide mortality rates in Ukraine during an ongoing armed conflict between 2014 and 2015. Suicide mortality data were obtained by reviewing annual analytical releases from the State Service for Emergent Situations of Ukraine and annual release of Russian Federal Service of State Statistics. Suicide mortality in mainland Ukraine and in the Crimea region demonstrated a mild decrease, whereas suicide mortality in the regions directly involved in the armed conflict demonstrated a prominent decrease. The results of this review support Durkheim theory. The limitation of this review includes general concern about quality of data at time of armed conflict in the country. © The Author 2015. Published by Oxford University Press on behalf of the European Public Health Association. All rights reserved.
Bolann, B J; Asberg, A
2004-01-01
The deviation of test results from patients' homeostatic set points in steady-state conditions may complicate interpretation of the results and the comparison of results with clinical decision limits. In this study the total deviation from the homeostatic set point is defined as the maximum absolute deviation for 95% of measurements, and we present analytical quality requirements that prevent analytical error from increasing this deviation to more than about 12% above the value caused by biology alone. These quality requirements are: 1) The stable systematic error should be approximately 0, and 2) a systematic error that will be detected by the control program with 90% probability, should not be larger than half the value of the combined analytical and intra-individual standard deviation. As a result, when the most common control rules are used, the analytical standard deviation may be up to 0.15 times the intra-individual standard deviation. Analytical improvements beyond these requirements have little impact on the interpretability of measurement results.
MOWServ: a web client for integration of bioinformatic resources
Ramírez, Sergio; Muñoz-Mérida, Antonio; Karlsson, Johan; García, Maximiliano; Pérez-Pulido, Antonio J.; Claros, M. Gonzalo; Trelles, Oswaldo
2010-01-01
The productivity of any scientist is affected by cumbersome, tedious and time-consuming tasks that try to make the heterogeneous web services compatible so that they can be useful in their research. MOWServ, the bioinformatic platform offered by the Spanish National Institute of Bioinformatics, was released to provide integrated access to databases and analytical tools. Since its release, the number of available services has grown dramatically, and it has become one of the main contributors of registered services in the EMBRACE Biocatalogue. The ontology that enables most of the web-service compatibility has been curated, improved and extended. The service discovery has been greatly enhanced by Magallanes software and biodataSF. User data are securely stored on the main server by an authentication protocol that enables the monitoring of current or already-finished user’s tasks, as well as the pipelining of successive data processing services. The BioMoby standard has been greatly extended with the new features included in the MOWServ, such as management of additional information (metadata such as extended descriptions, keywords and datafile examples), a qualified registry, error handling, asynchronous services and service replication. All of them have increased the MOWServ service quality, usability and robustness. MOWServ is available at http://www.inab.org/MOWServ/ and has a mirror at http://www.bitlab-es.com/MOWServ/. PMID:20525794
MOWServ: a web client for integration of bioinformatic resources.
Ramírez, Sergio; Muñoz-Mérida, Antonio; Karlsson, Johan; García, Maximiliano; Pérez-Pulido, Antonio J; Claros, M Gonzalo; Trelles, Oswaldo
2010-07-01
The productivity of any scientist is affected by cumbersome, tedious and time-consuming tasks that try to make the heterogeneous web services compatible so that they can be useful in their research. MOWServ, the bioinformatic platform offered by the Spanish National Institute of Bioinformatics, was released to provide integrated access to databases and analytical tools. Since its release, the number of available services has grown dramatically, and it has become one of the main contributors of registered services in the EMBRACE Biocatalogue. The ontology that enables most of the web-service compatibility has been curated, improved and extended. The service discovery has been greatly enhanced by Magallanes software and biodataSF. User data are securely stored on the main server by an authentication protocol that enables the monitoring of current or already-finished user's tasks, as well as the pipelining of successive data processing services. The BioMoby standard has been greatly extended with the new features included in the MOWServ, such as management of additional information (metadata such as extended descriptions, keywords and datafile examples), a qualified registry, error handling, asynchronous services and service replication. All of them have increased the MOWServ service quality, usability and robustness. MOWServ is available at http://www.inab.org/MOWServ/ and has a mirror at http://www.bitlab-es.com/MOWServ/.
Deployment of Analytics into the Healthcare Safety Net: Lessons Learned.
Hartzband, David; Jacobs, Feygele
2016-01-01
As payment reforms shift healthcare reimbursement toward value-based payment programs, providers need the capability to work with data of greater complexity, scope and scale. This will in many instances necessitate a change in understanding of the value of data, and the types of data needed for analysis to support operations and clinical practice. It will also require the deployment of different infrastructure and analytic tools. Community health centers, which serve more than 25 million people and together form the nation's largest single source of primary care for medically underserved communities and populations, are expanding and will need to optimize their capacity to leverage data as new payer and organizational models emerge. To better understand existing capacity and help organizations plan for the strategic and expanded uses of data, a project was initiated that deployed contemporary, Hadoop-based, analytic technology into several multi-site community health centers (CHCs) and a primary care association (PCA) with an affiliated data warehouse supporting health centers across the state. An initial data quality exercise was carried out after deployment, in which a number of analytic queries were executed using both the existing electronic health record (EHR) applications and in parallel, the analytic stack. Each organization carried out the EHR analysis using the definitions typically applied for routine reporting. The analysis deploying the analytic stack was carried out using those common definitions established for the Uniform Data System (UDS) by the Health Resources and Service Administration. 1 In addition, interviews with health center leadership and staff were completed to understand the context for the findings. The analysis uncovered many challenges and inconsistencies with respect to the definition of core terms (patient, encounter, etc.), data formatting, and missing, incorrect and unavailable data. At a population level, apparent underreporting of a number of diagnoses, specifically obesity and heart disease, was also evident in the results of the data quality exercise, for both the EHR-derived and stack analytic results. Data awareness, that is, an appreciation of the importance of data integrity, data hygiene 2 and the potential uses of data, needs to be prioritized and developed by health centers and other healthcare organizations if analytics are to be used in an effective manner to support strategic objectives. While this analysis was conducted exclusively with community health center organizations, its conclusions and recommendations may be more broadly applicable.
Deployment of Analytics into the Healthcare Safety Net: Lessons Learned
Hartzband, David; Jacobs, Feygele
2016-01-01
Background As payment reforms shift healthcare reimbursement toward value-based payment programs, providers need the capability to work with data of greater complexity, scope and scale. This will in many instances necessitate a change in understanding of the value of data, and the types of data needed for analysis to support operations and clinical practice. It will also require the deployment of different infrastructure and analytic tools. Community health centers, which serve more than 25 million people and together form the nation’s largest single source of primary care for medically underserved communities and populations, are expanding and will need to optimize their capacity to leverage data as new payer and organizational models emerge. Methods To better understand existing capacity and help organizations plan for the strategic and expanded uses of data, a project was initiated that deployed contemporary, Hadoop-based, analytic technology into several multi-site community health centers (CHCs) and a primary care association (PCA) with an affiliated data warehouse supporting health centers across the state. An initial data quality exercise was carried out after deployment, in which a number of analytic queries were executed using both the existing electronic health record (EHR) applications and in parallel, the analytic stack. Each organization carried out the EHR analysis using the definitions typically applied for routine reporting. The analysis deploying the analytic stack was carried out using those common definitions established for the Uniform Data System (UDS) by the Health Resources and Service Administration.1 In addition, interviews with health center leadership and staff were completed to understand the context for the findings. Results The analysis uncovered many challenges and inconsistencies with respect to the definition of core terms (patient, encounter, etc.), data formatting, and missing, incorrect and unavailable data. At a population level, apparent underreporting of a number of diagnoses, specifically obesity and heart disease, was also evident in the results of the data quality exercise, for both the EHR-derived and stack analytic results. Conclusion Data awareness, that is, an appreciation of the importance of data integrity, data hygiene2 and the potential uses of data, needs to be prioritized and developed by health centers and other healthcare organizations if analytics are to be used in an effective manner to support strategic objectives. While this analysis was conducted exclusively with community health center organizations, its conclusions and recommendations may be more broadly applicable. PMID:28210424
Blundell Jones, Joanna; Walsh, Sue; Isaac, Claire
2017-12-01
This integrative literature review uses cognitive analytic therapy (CAT) theory to examine the impact of a chronic illness, multiple sclerosis (MS), on relationships and mental health. Electronic searches were conducted in six medical and social science databases. Thirty-eight articles met inclusion criteria, and also satisfied quality criteria. Articles revealed that MS-related demands change care needs and alter relationships. Using a CAT framework, the MS literature was analysed, and five key patterns of relating to oneself and to others were identified. A diagrammatic formulation is proposed that interconnects these patterns with wellbeing and suggests potential "exits" to improve mental health, for example, assisting families to minimise overprotection. Application of CAT analysis to the literature clarifies relational processes that may affect mental health among individuals with MS, which hopefully will inform how services assist in reducing unhelpful patterns and improve coping. Further investigation of the identified patterns is needed.
Hartnell, Chad A; Ou, Amy Yi; Kinicki, Angelo
2011-07-01
We apply Quinn and Rohrbaugh's (1983) competing values framework (CVF) as an organizing taxonomy to meta-analytically test hypotheses about the relationship between 3 culture types and 3 major indices of organizational effectiveness (employee attitudes, operational performance [i.e., innovation and product and service quality], and financial performance). The paper also tests theoretical suppositions undergirding the CVF by investigating the framework's nomological validity and proposed internal structure (i.e., interrelationships among culture types). Results based on data from 84 empirical studies with 94 independent samples indicate that clan, adhocracy, and market cultures are differentially and positively associated with the effectiveness criteria, though not always as hypothesized. The findings provide mixed support for the CVF's nomological validity and fail to support aspects of the CVF's proposed internal structure. We propose an alternative theoretical approach to the CVF and delineate directions for future research.
The trade-off between hospital cost and quality of care. An exploratory empirical analysis.
Morey, R C; Fine, D J; Loree, S W; Retzlaff-Roberts, D L; Tsubakitani, S
1992-08-01
The debate concerning quality of care in hospitals, its "value" and affordability, is increasingly of concern to providers, consumers, and purchasers in the United States and elsewhere. We undertook an exploratory study to estimate the impact on hospital-wide costs if quality-of-care levels were varied. To do so, we obtained costs and service output data regarding 300 U.S. hospitals, representing approximately a 5% cross section of all hospitals operating in 1983; both inpatient and outpatient services were included. The quality-of-care measure used for the exploratory analysis was the ratio of actual deaths in the hospital for the year in question to the forecasted number of deaths for the hospital; the hospital mortality forecaster had earlier (and elsewhere) been built from analyses of 6 million discharge abstracts, and took into account each hospital's actual individual admissions, including key patient descriptors for each admission. Such adjusted death rates have increasingly been used as potential indicators of quality, with recent research lending support for the viability of that linkage. The authors then utilized the economic construct of allocative efficiency relying on "best practices" concepts and peer groupings, built using the "envelopment" philosophy of Data Envelopment Analysis and Pareto efficiency. These analytical techniques estimated the efficiently delivered costs required to meet prespecified levels of quality of care. The marginal additional cost per each death deferred in 1983 was estimated to be approximately $29,000 (in 1990 dollars) for the average efficient hospital. Also, over a feasible range, a 1% increase in the level of quality of care delivered was estimated to increase hospital cost by an average of 1.34%. This estimated elasticity of quality on cost also increased with the number of beds in the hospital.
Unified study of Quality of Service (QoS) in OPS/OBS networks
NASA Astrophysics Data System (ADS)
Hailu, Dawit Hadush; Lema, Gebrehiwet Gebrekrstos; Yekun, Ephrem Admasu; Kebede, Samrawit Haylu
2017-07-01
With the growth of Internet traffic, an inevitable use of optical networks provide a large bandwidth, fast data transmission rates and Quality of Service (QoS) support. Currently, Optical Burst Switched (OBS)/Optical Packet Switched (OPS) networks are under study as future solutions for addressing the increase demand of Internet traffic. However, due to their high blocking probability in the intermediate nodes they have been delayed in the industries. Packet loss in OBS/OPS networks is mainly occur due to contention. Hence, the contribution of this study is to analyze the file loss ratio (FLR), packet overhead and number of disjoint paths, and processing delay over Coded Packet Transport (CPT) scheme for OBS/OPS network using simulation. The simulations show that CPT scheme reduces the FLR in OBS/OPS network for the evaluated scenarios since the data packets are chopped off into blocks of the data packet for transmission over a network. Simulation results for secrecy and survivability are verified with the help of the analytical model to define the operational range of CPT scheme.
Student Writing Accepted as High-Quality Responses to Analytic Text-Based Writing Tasks
ERIC Educational Resources Information Center
Wang, Elaine; Matsumura, Lindsay Clare; Correnti, Richard
2018-01-01
Literacy standards increasingly emphasize the importance of analytic text-based writing. Little consensus exists, however, around what high-quality student responses should look like in this genre. In this study, we investigated fifth-grade students' writing in response to analytic text-based writing tasks (15 teachers, 44 writing tasks, 88 pieces…
Total Quality Management (TQM), an Overview
1991-09-01
Quality Management (TQM). It discusses the reasons TQM is a current growth industry, what it is, and how one implements it. It describes the basic analytical tools, statistical process control, some advanced analytical tools, tools used by process improvement teams to enhance their own operations, and action plans for making improvements. The final sections discuss assessing quality efforts and measuring the quality to knowledge
ERIC Educational Resources Information Center
Martin, Florence; Ndoye, Abdou; Wilkins, Patricia
2016-01-01
Quality Matters is recognized as a rigorous set of standards that guide the designer or instructor to design quality online courses. We explore how Quality Matters standards guide the identification and analysis of learning analytics data to monitor and improve online learning. Descriptive data were collected for frequency of use, time spent, and…
Federal Register 2010, 2011, 2012, 2013, 2014
2011-12-21
... play a critical ``gatekeeper'' role in the debt markets and perform evaluative and analytical services... assessments for fee-paying clients, nor does it provide the sort of evaluative and analytical services as...
ERIC Educational Resources Information Center
Peters, Ardith A.; McClatchey, Irene S.
2017-01-01
This paper addresses how professors in a Social Work and Human Services Program in the Southeastern United States include voices of the oppressed and vulnerable through art forms to develop analytical thinking to prepare human service practitioners. This pedagogical practice is based on Gardner's discussion of Multiple Intelligences. The authors…
NASA Astrophysics Data System (ADS)
McInerney, M.; Schnase, J. L.; Duffy, D.; Tamkin, G.; Nadeau, D.; Strong, S.; Thompson, J. H.; Sinno, S.; Lazar, D.
2014-12-01
The climate sciences represent a big data domain that is experiencing unprecedented growth. In our efforts to address the big data challenges of climate science, we are moving toward a notion of Climate Analytics-as-a-Service (CAaaS). We focus on analytics, because it is the knowledge gained from our interactions with big data that ultimately product societal benefits. We focus on CAaaS because we believe it provides a useful way of thinking about the problem: a specialization of the concept of business process-as-a-service, which is an evolving extension of IaaS, PaaS, and SaaS enabled by cloud computing. Within this framework, cloud computing plays an important role; however, we see it as only one element in a constellation of capabilities that are essential to delivering climate analytics-as-a-service. These elements are essential because in the aggregate they lead to generativity, a capacity for self-assembly that we feel is the key to solving many of the big data challenges in this domain. This poster will highlight specific examples of CAaaS using climate reanalysis data, high-performance cloud computing, map reduce, and the Climate Data Services API.
Clinical laboratory: bigger is not always better.
Plebani, Mario
2018-06-27
Laboratory services around the world are undergoing substantial consolidation and changes through mechanisms ranging from mergers, acquisitions and outsourcing, primarily based on expectations to improve efficiency, increasing volumes and reducing the cost per test. However, the relationship between volume and costs is not linear and numerous variables influence the end cost per test. In particular, the relationship between volumes and costs does not span the entire platter of clinical laboratories: high costs are associated with low volumes up to a threshold of 1 million test per year. Over this threshold, there is no linear association between volumes and costs, as laboratory organization rather than test volume more significantly affects the final costs. Currently, data on laboratory errors and associated diagnostic errors and risk for patient harm emphasize the need for a paradigmatic shift: from a focus on volumes and efficiency to a patient-centered vision restoring the nature of laboratory services as an integral part of the diagnostic and therapy process. Process and outcome quality indicators are effective tools to measure and improve laboratory services, by stimulating a competition based on intra- and extra-analytical performance specifications, intermediate outcomes and customer satisfaction. Rather than competing with economic value, clinical laboratories should adopt a strategy based on a set of harmonized quality indicators and performance specifications, active laboratory stewardship, and improved patient safety.
The cost-effectiveness of supported employment for adults with autism in the United Kingdom
Megnin-Viggars, Odette; Cheema, Nadir; Howlin, Patricia; Baron-Cohen, Simon; Pilling, Stephen
2014-01-01
Adults with autism face high rates of unemployment. Supported employment enables individuals with autism to secure and maintain a paid job in a regular work environment. The objective of this study was to assess the cost-effectiveness of supported employment compared with standard care (day services) for adults with autism in the United Kingdom. Thus, a decision-analytic economic model was developed, which used outcome data from the only trial that has evaluated supported employment for adults with autism in the United Kingdom. The main analysis considered intervention costs, while cost-savings associated with changes in accommodation status and National Health Service and personal social service resource use were examined in secondary analyses. Two outcome measures were used: the number of weeks in employment and the quality-adjusted life year. Supported employment resulted in better outcomes compared with standard care, at an extra cost of £18 per additional week in employment or £5600 per quality-adjusted life year. In secondary analyses that incorporated potential cost-savings, supported employment dominated standard care (i.e. it produced better outcomes at a lower total cost). The analysis suggests that supported employment schemes for adults with autism in the United Kingdom are cost-effective compared with standard care. Further research needs to confirm these findings. PMID:24126866
The quality of veterinary in-clinic and reference laboratory biochemical testing.
Rishniw, Mark; Pion, Paul D; Maher, Tammy
2012-03-01
Although evaluation of biochemical analytes in blood is common in veterinary practice, studies assessing the global quality of veterinary in-clinic and reference laboratory testing have not been reported. The aim of this study was to assess the quality of biochemical testing in veterinary laboratories using results obtained from analyses of 3 levels of assayed quality control materials over 5 days. Quality was assessed by comparison of calculated total error with quality requirements, determination of sigma metrics, use of a quality goal index to determine factors contributing to poor performance, and agreement between in-clinic and reference laboratory mean results. The suitability of in-clinic and reference laboratory instruments for statistical quality control was determined using adaptations from the computerized program, EZRules3. Reference laboratories were able to achieve desirable quality requirements more frequently than in-clinic laboratories. Across all 3 materials, > 50% of in-clinic analyzers achieved a sigma metric ≥ 6.0 for measurement of 2 analytes, whereas > 50% of reference laboratory analyzers achieved a sigma metric ≥ 6.0 for measurement of 6 analytes. Expanded uncertainty of measurement and ± total allowable error resulted in the highest mean percentages of analytes demonstrating agreement between in-clinic and reference laboratories. Owing to marked variation in bias and coefficient of variation between analyzers of the same and different types, the percentages of analytes suitable for statistical quality control varied widely. These findings reflect the current state-of-the-art with regard to in-clinic and reference laboratory analyzer performance and provide a baseline for future evaluations of the quality of veterinary laboratory testing. © 2012 American Society for Veterinary Clinical Pathology.
Analytical Chemistry Laboratory Progress Report for FY 1994
DOE Office of Scientific and Technical Information (OSTI.GOV)
Green, D.W.; Boparai, A.S.; Bowers, D.L.
The purpose of this report is to summarize the activities of the Analytical Chemistry Laboratory (ACL) at Argonne National Laboratory (ANL) for Fiscal Year (FY) 1994 (October 1993 through September 1994). This annual report is the eleventh for the ACL and describes continuing effort on projects, work on new projects, and contributions of the ACL staff to various programs at ANL. The Analytical Chemistry Laboratory is a full-cost-recovery service center, with the primary mission of providing a broad range of analytical chemistry support services to the scientific and engineering programs at ANL. The ACL also has a research program inmore » analytical chemistry, conducts instrumental and methods development, and provides analytical services for governmental, educational, and industrial organizations. The ACL handles a wide range of analytical problems. Some routine or standard analyses are done, but it is common for the Argonne programs to generate unique problems that require significant development of methods and adaption of techniques to obtain useful analytical data. The ACL has four technical groups -- Chemical Analysis, Instrumental Analysis, Organic Analysis, and Environmental Analysis -- which together include about 45 technical staff members. Talents and interests of staff members cross the group lines, as do many projects within the ACL. The Chemical Analysis Group uses wet- chemical and instrumental methods for elemental, compositional, and isotopic determinations in solid, liquid, and gaseous samples and provides specialized analytical services. Major instruments in this group include an ion chromatograph (IC), an inductively coupled plasma/atomic emission spectrometer (ICP/AES), spectrophotometers, mass spectrometers (including gas-analysis and thermal-ionization mass spectrometers), emission spectrographs, autotitrators, sulfur and carbon determinators, and a kinetic phosphorescence uranium analyzer.« less
Akyar, Işin
2009-10-01
One important trend in the laboratory profession and quality management is the global convergence of laboratory operations. The goal of an accredited medical laboratory is to continue "offering useful laboratory service for diagnosis and treatment of the patients and also aid to the health of the nation". An accredited clinical laboratory is managed by a quality control system, it is competent technically and the laboratory service meets the needs of all its patients and physicians by taking the responsibility of all the medical tests and therapies. For this purpose, ISO 15189 international standard has been prepared by 2003. ISO 15189 standard is originated from the arrangement of ISO 17025 and ISO 9001:2000 standards. Many countries such as England, Germany, France, Canada and Australia have preferred ISO 15189 as their own laboratory accreditation programme, meeting all the requirements of their medical laboratories. The accreditation performance of a clinical microbiology laboratory is mainly based on five essential points; preanalytical, analytical, postanalytical, quality control programmes (internal, external, interlaboratory) and audits (internal, external). In this review article, general concepts on ISO 15189 accreditation standards for the clinical microbiology laboratories have been summarized and the status of a private laboratory (Acibadem LabMed, Istanbul) in Turkey has been discussed.
EPA’s Web Analytics Program collects, analyzes, and provides reports on traffic, quality assurance, and customer satisfaction metrics for EPA’s website. The program uses a variety of analytics tools, including Google Analytics and CrazyEgg.
Processing biological literature with customizable Web services supporting interoperable formats.
Rak, Rafal; Batista-Navarro, Riza Theresa; Carter, Jacob; Rowley, Andrew; Ananiadou, Sophia
2014-01-01
Web services have become a popular means of interconnecting solutions for processing a body of scientific literature. This has fuelled research on high-level data exchange formats suitable for a given domain and ensuring the interoperability of Web services. In this article, we focus on the biological domain and consider four interoperability formats, BioC, BioNLP, XMI and RDF, that represent domain-specific and generic representations and include well-established as well as emerging specifications. We use the formats in the context of customizable Web services created in our Web-based, text-mining workbench Argo that features an ever-growing library of elementary analytics and capabilities to build and deploy Web services straight from a convenient graphical user interface. We demonstrate a 2-fold customization of Web services: by building task-specific processing pipelines from a repository of available analytics, and by configuring services to accept and produce a combination of input and output data interchange formats. We provide qualitative evaluation of the formats as well as quantitative evaluation of automatic analytics. The latter was carried out as part of our participation in the fourth edition of the BioCreative challenge. Our analytics built into Web services for recognizing biochemical concepts in BioC collections achieved the highest combined scores out of 10 participating teams. Database URL: http://argo.nactem.ac.uk. © The Author(s) 2014. Published by Oxford University Press.
Processing biological literature with customizable Web services supporting interoperable formats
Rak, Rafal; Batista-Navarro, Riza Theresa; Carter, Jacob; Rowley, Andrew; Ananiadou, Sophia
2014-01-01
Web services have become a popular means of interconnecting solutions for processing a body of scientific literature. This has fuelled research on high-level data exchange formats suitable for a given domain and ensuring the interoperability of Web services. In this article, we focus on the biological domain and consider four interoperability formats, BioC, BioNLP, XMI and RDF, that represent domain-specific and generic representations and include well-established as well as emerging specifications. We use the formats in the context of customizable Web services created in our Web-based, text-mining workbench Argo that features an ever-growing library of elementary analytics and capabilities to build and deploy Web services straight from a convenient graphical user interface. We demonstrate a 2-fold customization of Web services: by building task-specific processing pipelines from a repository of available analytics, and by configuring services to accept and produce a combination of input and output data interchange formats. We provide qualitative evaluation of the formats as well as quantitative evaluation of automatic analytics. The latter was carried out as part of our participation in the fourth edition of the BioCreative challenge. Our analytics built into Web services for recognizing biochemical concepts in BioC collections achieved the highest combined scores out of 10 participating teams. Database URL: http://argo.nactem.ac.uk. PMID:25006225
Kumar, B Vinodh; Mohan, Thuthi
2018-01-01
Six Sigma is one of the most popular quality management system tools employed for process improvement. The Six Sigma methods are usually applied when the outcome of the process can be measured. This study was done to assess the performance of individual biochemical parameters on a Sigma Scale by calculating the sigma metrics for individual parameters and to follow the Westgard guidelines for appropriate Westgard rules and levels of internal quality control (IQC) that needs to be processed to improve target analyte performance based on the sigma metrics. This is a retrospective study, and data required for the study were extracted between July 2015 and June 2016 from a Secondary Care Government Hospital, Chennai. The data obtained for the study are IQC - coefficient of variation percentage and External Quality Assurance Scheme (EQAS) - Bias% for 16 biochemical parameters. For the level 1 IQC, four analytes (alkaline phosphatase, magnesium, triglyceride, and high-density lipoprotein-cholesterol) showed an ideal performance of ≥6 sigma level, five analytes (urea, total bilirubin, albumin, cholesterol, and potassium) showed an average performance of <3 sigma level and for level 2 IQCs, same four analytes of level 1 showed a performance of ≥6 sigma level, and four analytes (urea, albumin, cholesterol, and potassium) showed an average performance of <3 sigma level. For all analytes <6 sigma level, the quality goal index (QGI) was <0.8 indicating the area requiring improvement to be imprecision except cholesterol whose QGI >1.2 indicated inaccuracy. This study shows that sigma metrics is a good quality tool to assess the analytical performance of a clinical chemistry laboratory. Thus, sigma metric analysis provides a benchmark for the laboratory to design a protocol for IQC, address poor assay performance, and assess the efficiency of existing laboratory processes.
Big data analytics to improve cardiovascular care: promise and challenges.
Rumsfeld, John S; Joynt, Karen E; Maddox, Thomas M
2016-06-01
The potential for big data analytics to improve cardiovascular quality of care and patient outcomes is tremendous. However, the application of big data in health care is at a nascent stage, and the evidence to date demonstrating that big data analytics will improve care and outcomes is scant. This Review provides an overview of the data sources and methods that comprise big data analytics, and describes eight areas of application of big data analytics to improve cardiovascular care, including predictive modelling for risk and resource use, population management, drug and medical device safety surveillance, disease and treatment heterogeneity, precision medicine and clinical decision support, quality of care and performance measurement, and public health and research applications. We also delineate the important challenges for big data applications in cardiovascular care, including the need for evidence of effectiveness and safety, the methodological issues such as data quality and validation, and the critical importance of clinical integration and proof of clinical utility. If big data analytics are shown to improve quality of care and patient outcomes, and can be successfully implemented in cardiovascular practice, big data will fulfil its potential as an important component of a learning health-care system.
NASA Technical Reports Server (NTRS)
James, John T.
2001-01-01
The toxicological assessment of air samples returned at the end of the STS-105 (7 A.1) flight to the ISS is reported. ISS air samples were taken in August 2001 from the Service Module, FGB, and U.S. Laboratory using grab sample canisters (GSCs) and/or formaldehyde badges. Preflight and end-of-mission samples were obtained from Discovery using GSCs. Analytical methods have not changed from earlier reports, and surrogate standard recoveries were 64-115%. Pressure tracking indicated no leaks in the canisters.
Li, Zhenlong; Yang, Chaowei; Jin, Baoxuan; Yu, Manzhu; Liu, Kai; Sun, Min; Zhan, Matthew
2015-01-01
Geoscience observations and model simulations are generating vast amounts of multi-dimensional data. Effectively analyzing these data are essential for geoscience studies. However, the tasks are challenging for geoscientists because processing the massive amount of data is both computing and data intensive in that data analytics requires complex procedures and multiple tools. To tackle these challenges, a scientific workflow framework is proposed for big geoscience data analytics. In this framework techniques are proposed by leveraging cloud computing, MapReduce, and Service Oriented Architecture (SOA). Specifically, HBase is adopted for storing and managing big geoscience data across distributed computers. MapReduce-based algorithm framework is developed to support parallel processing of geoscience data. And service-oriented workflow architecture is built for supporting on-demand complex data analytics in the cloud environment. A proof-of-concept prototype tests the performance of the framework. Results show that this innovative framework significantly improves the efficiency of big geoscience data analytics by reducing the data processing time as well as simplifying data analytical procedures for geoscientists. PMID:25742012
Li, Zhenlong; Yang, Chaowei; Jin, Baoxuan; Yu, Manzhu; Liu, Kai; Sun, Min; Zhan, Matthew
2015-01-01
Geoscience observations and model simulations are generating vast amounts of multi-dimensional data. Effectively analyzing these data are essential for geoscience studies. However, the tasks are challenging for geoscientists because processing the massive amount of data is both computing and data intensive in that data analytics requires complex procedures and multiple tools. To tackle these challenges, a scientific workflow framework is proposed for big geoscience data analytics. In this framework techniques are proposed by leveraging cloud computing, MapReduce, and Service Oriented Architecture (SOA). Specifically, HBase is adopted for storing and managing big geoscience data across distributed computers. MapReduce-based algorithm framework is developed to support parallel processing of geoscience data. And service-oriented workflow architecture is built for supporting on-demand complex data analytics in the cloud environment. A proof-of-concept prototype tests the performance of the framework. Results show that this innovative framework significantly improves the efficiency of big geoscience data analytics by reducing the data processing time as well as simplifying data analytical procedures for geoscientists.
Irregular analytical errors in diagnostic testing - a novel concept.
Vogeser, Michael; Seger, Christoph
2018-02-23
In laboratory medicine, routine periodic analyses for internal and external quality control measurements interpreted by statistical methods are mandatory for batch clearance. Data analysis of these process-oriented measurements allows for insight into random analytical variation and systematic calibration bias over time. However, in such a setting, any individual sample is not under individual quality control. The quality control measurements act only at the batch level. Quantitative or qualitative data derived for many effects and interferences associated with an individual diagnostic sample can compromise any analyte. It is obvious that a process for a quality-control-sample-based approach of quality assurance is not sensitive to such errors. To address the potential causes and nature of such analytical interference in individual samples more systematically, we suggest the introduction of a new term called the irregular (individual) analytical error. Practically, this term can be applied in any analytical assay that is traceable to a reference measurement system. For an individual sample an irregular analytical error is defined as an inaccuracy (which is the deviation from a reference measurement procedure result) of a test result that is so high it cannot be explained by measurement uncertainty of the utilized routine assay operating within the accepted limitations of the associated process quality control measurements. The deviation can be defined as the linear combination of the process measurement uncertainty and the method bias for the reference measurement system. Such errors should be coined irregular analytical errors of the individual sample. The measurement result is compromised either by an irregular effect associated with the individual composition (matrix) of the sample or an individual single sample associated processing error in the analytical process. Currently, the availability of reference measurement procedures is still highly limited, but LC-isotope-dilution mass spectrometry methods are increasingly used for pre-market validation of routine diagnostic assays (these tests also involve substantial sets of clinical validation samples). Based on this definition/terminology, we list recognized causes of irregular analytical error as a risk catalog for clinical chemistry in this article. These issues include reproducible individual analytical errors (e.g. caused by anti-reagent antibodies) and non-reproducible, sporadic errors (e.g. errors due to incorrect pipetting volume due to air bubbles in a sample), which can both lead to inaccurate results and risks for patients.
Analytical procedure validation and the quality by design paradigm.
Rozet, Eric; Lebrun, Pierre; Michiels, Jean-François; Sondag, Perceval; Scherder, Tara; Boulanger, Bruno
2015-01-01
Since the adoption of the ICH Q8 document concerning the development of pharmaceutical processes following a quality by design (QbD) approach, there have been many discussions on the opportunity for analytical procedure developments to follow a similar approach. While development and optimization of analytical procedure following QbD principles have been largely discussed and described, the place of analytical procedure validation in this framework has not been clarified. This article aims at showing that analytical procedure validation is fully integrated into the QbD paradigm and is an essential step in developing analytical procedures that are effectively fit for purpose. Adequate statistical methodologies have also their role to play: such as design of experiments, statistical modeling, and probabilistic statements. The outcome of analytical procedure validation is also an analytical procedure design space, and from it, control strategy can be set.
NASA Astrophysics Data System (ADS)
Schnase, J. L.; Duffy, D.; Tamkin, G. S.; Nadeau, D.; Thompson, J. H.; Grieg, C. M.; McInerney, M.; Webster, W. P.
2013-12-01
Climate science is a Big Data domain that is experiencing unprecedented growth. In our efforts to address the Big Data challenges of climate science, we are moving toward a notion of Climate Analytics-as-a-Service (CAaaS). We focus on analytics, because it is the knowledge gained from our interactions with Big Data that ultimately produce societal benefits. We focus on CAaaS because we believe it provides a useful way of thinking about the problem: a specialization of the concept of business process-as-a-service, which is an evolving extension of IaaS, PaaS, and SaaS enabled by Cloud Computing. Within this framework, Cloud Computing plays an important role; however, we see it as only one element in a constellation of capabilities that are essential to delivering climate analytics as a service. These elements are essential because in the aggregate they lead to generativity, a capacity for self-assembly that we feel is the key to solving many of the Big Data challenges in this domain. MERRA Analytic Services (MERRA/AS) is an example of cloud-enabled CAaaS built on this principle. MERRA/AS enables MapReduce analytics over NASA's Modern-Era Retrospective Analysis for Research and Applications (MERRA) data collection. The MERRA reanalysis integrates observational data with numerical models to produce a global temporally and spatially consistent synthesis of 26 key climate variables. It represents a type of data product that is of growing importance to scientists doing climate change research and a wide range of decision support applications. MERRA/AS brings together the following generative elements in a full, end-to-end demonstration of CAaaS capabilities: (1) high-performance, data proximal analytics, (2) scalable data management, (3) software appliance virtualization, (4) adaptive analytics, and (5) a domain-harmonized API. The effectiveness of MERRA/AS has been demonstrated in several applications. In our experience, Cloud Computing lowers the barriers and risk to organizational change, fosters innovation and experimentation, facilitates technology transfer, and provides the agility required to meet our customers' increasing and changing needs. Cloud Computing is providing a new tier in the data services stack that helps connect earthbound, enterprise-level data and computational resources to new customers and new mobility-driven applications and modes of work. For climate science, Cloud Computing's capacity to engage communities in the construction of new capabilies is perhaps the most important link between Cloud Computing and Big Data.
NASA Technical Reports Server (NTRS)
Schnase, John L.; Duffy, Daniel Quinn; Tamkin, Glenn S.; Nadeau, Denis; Thompson, John H.; Grieg, Christina M.; McInerney, Mark A.; Webster, William P.
2014-01-01
Climate science is a Big Data domain that is experiencing unprecedented growth. In our efforts to address the Big Data challenges of climate science, we are moving toward a notion of Climate Analytics-as-a-Service (CAaaS). We focus on analytics, because it is the knowledge gained from our interactions with Big Data that ultimately produce societal benefits. We focus on CAaaS because we believe it provides a useful way of thinking about the problem: a specialization of the concept of business process-as-a-service, which is an evolving extension of IaaS, PaaS, and SaaS enabled by Cloud Computing. Within this framework, Cloud Computing plays an important role; however, we it see it as only one element in a constellation of capabilities that are essential to delivering climate analytics as a service. These elements are essential because in the aggregate they lead to generativity, a capacity for self-assembly that we feel is the key to solving many of the Big Data challenges in this domain. MERRA Analytic Services (MERRAAS) is an example of cloud-enabled CAaaS built on this principle. MERRAAS enables MapReduce analytics over NASAs Modern-Era Retrospective Analysis for Research and Applications (MERRA) data collection. The MERRA reanalysis integrates observational data with numerical models to produce a global temporally and spatially consistent synthesis of 26 key climate variables. It represents a type of data product that is of growing importance to scientists doing climate change research and a wide range of decision support applications. MERRAAS brings together the following generative elements in a full, end-to-end demonstration of CAaaS capabilities: (1) high-performance, data proximal analytics, (2) scalable data management, (3) software appliance virtualization, (4) adaptive analytics, and (5) a domain-harmonized API. The effectiveness of MERRAAS has been demonstrated in several applications. In our experience, Cloud Computing lowers the barriers and risk to organizational change, fosters innovation and experimentation, facilitates technology transfer, and provides the agility required to meet our customers' increasing and changing needs. Cloud Computing is providing a new tier in the data services stack that helps connect earthbound, enterprise-level data and computational resources to new customers and new mobility-driven applications and modes of work. For climate science, Cloud Computing's capacity to engage communities in the construction of new capabilies is perhaps the most important link between Cloud Computing and Big Data.
A Novel Hybrid MADM Based Competence Set Expansions of a SOC Design Service Firm
NASA Astrophysics Data System (ADS)
Huang, Chi-Yo; Tzeng, Gwo-Hshiung; Lue, Yeou-Feng; Chuang, Hsiu-Tyan
As the IC (integrated circuit) industry migrates to the System-on-Chip (SOC) era, a novel business model, the SOC design service (DS), is emerging. However, how to expand a firm’s innovation competences while satisfying multiple objectives including highest quality, lowest cost, and fastest time to market as well as most revenues for economics of scale are always problems for a design service firm. Therefore, attempts to expand the innovation competences, and thus the competitiveness, of latecomers in the SOC DS industry have already become the most critical issue facing the top managers of SOC design service firms. In this paper, a novel multiple attribute decision making (MADM) analytic framework based on the concept of competence set expansion, as well as MADM methods consisting with DEMATEL, ANP and multiple objective decision making (MODM) will be proposed in order to define a path for expanding a late-coming SOC DS firm’s innovation capabilities. An empirical study on expanding innovation competence sets, of a late-coming Taiwanese DS firm then will be presented.
New service interface for River Forecasting Center derived quantitative precipitation estimates
Blodgett, David L.
2013-01-01
For more than a decade, the National Weather Service (NWS) River Forecast Centers (RFCs) have been estimating spatially distributed rainfall by applying quality-control procedures to radar-indicated rainfall estimates in the eastern United States and other best practices in the western United States to producea national Quantitative Precipitation Estimate (QPE) (National Weather Service, 2013). The availability of archives of QPE information for analytical purposes has been limited to manual requests for access to raw binary file formats that are difficult for scientists who are not in the climatic sciences to work with. The NWS provided the QPE archives to the U.S. Geological Survey (USGS), and the contents of the real-time feed from the RFCs are being saved by the USGS for incorporation into the archives. The USGS has applied time-series aggregation and added latitude-longitude coordinate variables to publish the RFC QPE data. Web services provide users with direct (index-based) data access, rendered visualizations of the data, and resampled raster representations of the source data in common geographic information formats.
Breast cancer services in Vietnam: a scoping review.
Jenkins, Chris; Minh, Luu Ngoc; Anh, Tran Tuan; Ngan, Tran Thu; Tuan, Ngo Tri; Giang, Kim Bao; Hoat, Luu Ngoc; Lohfeld, Lynne; Donnelly, Michael; Van Minh, Hoang; Murray, Liam
2018-01-01
Breast cancer incidence has been increasing consistently in Vietnam. Thus far, there have been no analytical reviews of research produced within this area. We sought to analyse the nature andextent of empirical studies about breast cancer in Vietnam, identifying areas for future research and systemsstrengthening. We undertook a scoping study using a five-stage framework to review published and grey literature in English and Vietnamese on breast cancer detection, diagnosis and treatment. We focused specifically on research discussing the health system and service provision. Our results show that breast cancer screening is limited, with no permanent or integrated national screening activities. There is a lack of information on screening processes and on the integration of screening services with other areas of the health system. Treatment is largely centralised, and across all services there is a lack of evaluation and data collection that would be informative for recommendations seeking to improve accessibility and quality of breast cancer services. This paper is the first scoping review of breast cancer services in Vietnam. It outlines areas for future focus for policy makers and researchers with the objective of strengthening service provision to women with breast cancer across the country while also providing a methodological example for how to conduct a collaborative scoping review.
Breast cancer services in Vietnam: a scoping review
Jenkins, Chris; Minh, Luu Ngoc; Anh, Tran Tuan; Ngan, Tran Thu; Tuan, Ngo Tri; Giang, Kim Bao; Hoat, Luu Ngoc; Lohfeld, Lynne; Donnelly, Michael; Van Minh, Hoang; Murray, Liam
2018-01-01
ABSTRACT Background: Breast cancer incidence has been increasing consistently in Vietnam. Thus far, there have been no analytical reviews of research produced within this area. Objectives: We sought to analyse the nature andextent of empirical studies about breast cancer in Vietnam, identifying areas for future research and systemsstrengthening. Methods: We undertook a scoping study using a five-stage framework to review published and grey literature in English and Vietnamese on breast cancer detection, diagnosis and treatment. We focused specifically on research discussing the health system and service provision. Results: Our results show that breast cancer screening is limited, with no permanent or integrated national screening activities. There is a lack of information on screening processes and on the integration of screening services with other areas of the health system. Treatment is largely centralised, and across all services there is a lack of evaluation and data collection that would be informative for recommendations seeking to improve accessibility and quality of breast cancer services. Conclusions: This paper is the first scoping review of breast cancer services in Vietnam. It outlines areas for future focus for policy makers and researchers with the objective of strengthening service provision to women with breast cancer across the country while also providing a methodological example for how to conduct a collaborative scoping review. PMID:29473488
42 CFR 493.1250 - Condition: Analytic systems.
Code of Federal Regulations, 2010 CFR
2010-10-01
... 42 Public Health 5 2010-10-01 2010-10-01 false Condition: Analytic systems. 493.1250 Section 493.1250 Public Health CENTERS FOR MEDICARE & MEDICAID SERVICES, DEPARTMENT OF HEALTH AND HUMAN SERVICES... correct identified problems as specified in § 493.1289 for each specialty and subspecialty of testing...
A Mobility-Aware QoS Signaling Protocol for Ambient Networks
NASA Astrophysics Data System (ADS)
Jeong, Seong-Ho; Lee, Sung-Hyuck; Bang, Jongho
Mobility-aware quality of service (QoS) signaling is crucial to provide seamless multimedia services in the ambient environment where mobile nodes may move frequently between different wireless access networks. The mobility of an IP-based node in ambient networks affects routing paths, and as a result, can have a significant impact on the operation and state management of QoS signaling protocols. In this paper, we first analyze the impact of mobility on QoS signaling protocols and how the protocols operate in mobility scenarios. We then propose an efficient mobility-aware QoS signaling protocol which can operate adaptively in ambient networks. The key features of the protocol include the fast discovery of a crossover node where the old and new paths converge or diverge due to handover and the localized state management for seamless services. Our analytical and simulation/experimental results show that the proposed/implemented protocol works better than existing protocols in the IP-based mobile environment.
A Technical Survey on Optimization of Processing Geo Distributed Data
NASA Astrophysics Data System (ADS)
Naga Malleswari, T. Y. J.; Ushasukhanya, S.; Nithyakalyani, A.; Girija, S.
2018-04-01
With growing cloud services and technology, there is growth in some geographically distributed data centers to store large amounts of data. Analysis of geo-distributed data is required in various services for data processing, storage of essential information, etc., processing this geo-distributed data and performing analytics on this data is a challenging task. The distributed data processing is accompanied by issues in storage, computation and communication. The key issues to be dealt with are time efficiency, cost minimization, utility maximization. This paper describes various optimization methods like end-to-end multiphase, G-MR, etc., using the techniques like Map-Reduce, CDS (Community Detection based Scheduling), ROUT, Workload-Aware Scheduling, SAGE, AMP (Ant Colony Optimization) to handle these issues. In this paper various optimization methods and techniques used are analyzed. It has been observed that end-to end multiphase achieves time efficiency; Cost minimization concentrates to achieve Quality of Service, Computation and reduction of Communication cost. SAGE achieves performance improvisation in processing geo-distributed data sets.
The status of marketing in the health care industry: perspectives of marketing practitioners.
Manu, F A; Cooper, P D; Reinhart, W
1996-01-01
To assess the scope and status of the marketing function in the health care industry, a mail survey of marketing professionals in health care organizations in the Greater Baltimore region was undertaken. Questions were designed to identify important responsibilities, required skills, evaluation factors, and major problems in the practice of health care marketing. Analytic ability was the skill identified as being most necessary to perform their job while quality of service was factor most used to evaluate their performance. Planning, service and the development of products/services were indicated as being their most important responsibility. Inadequate budget and top management's lack of knowledge of marketing were cited as the most important hindrances to effectiveness in marketing jobs. Failure of marketing in the health care industry appears to be internal to the organizations themselves, that is, in terms of how it is interpreted and applied in practice. Solutions require greater understanding of and commitment to the varied roles of marketing professionals.
Lincoln, Tricia A.; Horan-Ross, Debra A.; McHale, Michael R.; Lawrence, Gregory B.
2006-01-01
The laboratory for analysis of low-ionic-strength water at the U.S. Geological Survey (USGS) Water Science Center in Troy, N.Y., analyzes samples collected by USGS projects throughout the Northeast. The laboratory's quality-assurance program is based on internal and interlaboratory quality-assurance samples and quality-control procedures that were developed to ensure proper sample collection, processing, and analysis. The quality-assurance/quality-control data for the time period addressed in this report were stored in the laboratory's SAS data-management system, which provides efficient review, compilation, and plotting of data. This report presents and discusses results of quality-assurance and quality- control samples analyzed from July 1997 through June 1999. Results for the quality-control samples for 18 analytical procedures were evaluated for bias and precision. Control charts indicate that data for eight of the analytical procedures were occasionally biased for either high-concentration and (or) low-concentration samples but were within control limits; these procedures were: acid-neutralizing capacity, total monomeric aluminum, total aluminum, ammonium, calcium, chloride, specific conductance, and sulfate. The data from the potassium and sodium analytical procedures are insufficient for evaluation. Results from the filter-blank and analytical-blank analyses indicate that the procedures for 11 of 13 analytes were within control limits, although the concentrations for blanks were occasionally outside the control limits. Blank analysis results for chloride showed that 22 percent of blanks did not meet data-quality objectives and results for dissolved organic carbon showed that 31 percent of the blanks did not meet data-quality objectives. Sampling and analysis precision are evaluated herein in terms of the coefficient of variation obtained for triplicate samples in the procedures for 14 of the 18 analytes. At least 90 percent of the samples met data-quality objectives for all analytes except total aluminum (70 percent of samples met objectives) and potassium (83 percent of samples met objectives). Results of the USGS interlaboratory Standard Reference Sample (SRS) Project indicated good data quality for most constituents over the time period. The P-sample (low-ionic-strength constituents) analysis had good ratings in two of these studies and a satisfactory rating in the third. The results of the T-sample (trace constituents) analysis indicated high data quality with good ratings in all three studies. The N-sample (nutrient constituents) studies had one each of excellent, good, and satisfactory ratings. Results of Environment Canada's National Water Research Institute (NWRI) program indicated that at least 80 percent of the samples met data-quality objectives for 9 of the 13 analytes; the exceptions were dissolved organic carbon, ammonium, chloride, and specific conductance. Data-quality objectives were not met for dissolved organic carbon in two NWRI studies, but all of the samples were within control limits for the last study. Data-quality objectives were not met in 41 percent of samples analyzed for ammonium, 25 percent of samples analyzed for chloride, and 30 percent of samples analyzed for specific conductance. Results from blind reference-sample analyses indicated that data-quality objectives were met by at least 84 percent of the samples analyzed for calcium, chloride, magnesium, pH, and potassium. Data-quality objectives were met by 73 percent of those analyzed for sulfate. The data-quality objective was not met for sodium. The data are insufficient for evaluation of the specific conductance results.
New Analytical Monographs on TCM Herbal Drugs for Quality Proof.
Wagner, Hildebert; Bauer, Rudolf; Melchart, Dieter
2016-01-01
Regardless of specific national drug regulations there is an international consensus that all TCM drugs must meet stipulated high quality standards focusing on authentication, identification and chemical composition. In addition, safety of all TCM drugs prescribed by physicians has to be guaranteed. During the 25 years history of the TCM hospital Bad Kötzting, 171 TCM drugs underwent an analytical quality proof including thin layer as well as high pressure liquid chromatography. As from now mass spectroscopy will also be available as analytical tool. The findings are compiled and already published in three volumes of analytical monographs. One more volume will be published shortly, and a fifth volume is in preparation. The main issues of the analytical procedure in TCM drugs like authenticity, botanical nomenclature, variability of plant species and parts as well as processing are pointed out and possible ways to overcome them are sketched. © 2016 S. Karger GmbH, Freiburg.
Arreaza, Gladys; Qiu, Ping; Pang, Ling; Albright, Andrew; Hong, Lewis Z.; Marton, Matthew J.; Levitan, Diane
2016-01-01
In cancer drug discovery, it is important to investigate the genetic determinants of response or resistance to cancer therapy as well as factors that contribute to adverse events in the course of clinical trials. Despite the emergence of new technologies and the ability to measure more diverse analytes (e.g., circulating tumor cell (CTC), circulating tumor DNA (ctDNA), etc.), tumor tissue is still the most common and reliable source for biomarker investigation. Because of its worldwide use and ability to preserve samples for many decades at ambient temperature, formalin-fixed, paraffin-embedded tumor tissue (FFPE) is likely to be the preferred choice for tissue preservation in clinical practice for the foreseeable future. Multiple analyses are routinely performed on the same FFPE samples (such as Immunohistochemistry (IHC), in situ hybridization, RNAseq, DNAseq, TILseq, Methyl-Seq, etc.). Thus, specimen prioritization and optimization of the isolation of analytes is critical to ensure successful completion of each assay. FFPE is notorious for producing suboptimal DNA quality and low DNA yield. However, commercial vendors tend to request higher DNA sample mass than what is actually required for downstream assays, which restricts the breadth of biomarker work that can be performed. We evaluated multiple genomics service laboratories to assess the current state of NGS pre-analytical processing of FFPE. Significant differences in pre-analytical capabilities were observed. Key aspects are highlighted and recommendations are made to improve the current practice in translational research. PMID:27657050
Quality assurance for health and environmental chemistry: 1990
DOE Office of Scientific and Technical Information (OSTI.GOV)
Gautier, M.A.; Gladney, E.S.; Koski, N.L.
1991-10-01
This report documents the continuing quality assurance efforts of the Health and Environmental Chemistry Group (HSE-9) at the Los Alamos National Laboratory. The philosophy, methodology, computing resources, and laboratory information management system used by the quality assurance program to encompass the diversity of analytical chemistry practiced in the group are described. Included in the report are all quality assurance reference materials used, along with their certified or consensus concentrations, and all analytical chemistry quality assurance measurements made by HSE-9 during 1990.
2012-04-06
Biochemical genetic testing and newborn screening are essential laboratory services for the screening, detection, diagnosis, and monitoring of inborn errors of metabolism or inherited metabolic disorders. Under the Clinical Laboratory Improvement Amendments of 1988 (CLIA) regulations, laboratory testing is categorized on the basis of the level of testing complexity as either waived (i.e., from routine regulatory oversight) or nonwaived testing (which includes tests of moderate and high complexity). Laboratories that perform biochemical genetic testing are required by CLIA regulations to meet the general quality systems requirements for nonwaived testing and the personnel requirements for high-complexity testing. Laboratories that perform public health newborn screening are subject to the same CLIA regulations and applicable state requirements. As the number of inherited metabolic diseases that are included in state-based newborn screening programs continues to increase, ensuring the quality of performance and delivery of testing services remains a continuous challenge not only for public health laboratories and other newborn screening facilities but also for biochemical genetic testing laboratories. To help ensure the quality of laboratory testing, CDC collaborated with the Centers for Medicare & Medicaid Services, the Food and Drug Administration, the Health Resources and Services Administration, and the National Institutes of Health to develop guidelines for laboratories to meet CLIA requirements and apply additional quality assurance measures for these areas of genetic testing. This report provides recommendations for good laboratory practices that were developed based on recommendations from the Clinical Laboratory Improvement Advisory Committee, with additional input from the Secretary's Advisory Committee on Genetics, Health, and Society; the Secretary's Advisory Committee on Heritable Disorders in Newborns and Children; and representatives of newborn screening laboratories. The recommended practices address the benefits of using a quality management system approach, factors to consider before introducing new tests, establishment and verification of test performance specifications, the total laboratory testing process (which consists of the preanalytic, analytic, and postanalytic phases), confidentiality of patient information and test results, and personnel qualifications and responsibilities for laboratory testing for inherited metabolic diseases. These recommendations are intended for laboratories that perform biochemical genetic testing to improve the quality of laboratory services and for newborn screening laboratories to ensure the quality of laboratory practices for inherited metabolic disorders. These recommendations also are intended as a resource for medical and public health professionals who evaluate laboratory practices, for users of laboratory services to facilitate their collaboration with newborn screening systems and use of biochemical genetic tests, and for standard-setting organizations and professional societies in developing future laboratory quality standards and practice recommendations. This report complements Good Laboratory Practices for Molecular Genetic Testing for Heritable Diseases and Conditions (CDC. Good laboratory practices for molecular genetic testing for heritable diseases and conditions. MMWR 2009;58 [No. RR-6]) to provide guidance for ensuring and improving the quality of genetic laboratory services and public health outcomes. Future recommendations for additional areas of genetic testing will be considered on the basis of continued monitoring and evaluation of laboratory practices, technology advancements, and the development of laboratory standards and guidelines.
NASA Astrophysics Data System (ADS)
Vaezi, S.; Mesgari, M. S.; Kaviary, F.
2015-12-01
Todays, stability of human life is threatened by a set of parameters. So sustainable urban development theory is introduced after the stability theory to protect the urban environment. In recent years, sustainable urban development gains a lot of attraction by different sciences and totally becomes a final target for urban development planners and managers to use resources properly and to establish a balanced relationship among human, community, and nature. Proper distribution of services for decreasing spatial inequalities, promoting the quality of living environment, and approaching an urban stability requires an analytical understanding of the present situation. Understanding the present situation is the first step for making a decision and planning effectively. This paper evaluates effective parameters affecting proper arrangement of land-uses using a descriptive-analytical method, to develop a conceptual framework for understanding of the present situation of urban land-uses, based on the assessment of their compatibility. This study considers not only the local parameters, but also spatial parameters are included in this study. The results indicate that land-uses in the zone considered here are not distributed properly. Considering mentioned parameters and distributing service land-uses effectively cause the better use of these land-uses.
Hu, Miao; Zhong, Zhangdui; Ni, Minming; Baiocchi, Andrea
2016-11-01
Large volume content dissemination is pursued by the growing number of high quality applications for Vehicular Ad hoc NETworks(VANETs), e.g., the live road surveillance service and the video-based overtaking assistant service. For the highly dynamical vehicular network topology, beacon-less routing protocols have been proven to be efficient in achieving a balance between the system performance and the control overhead. However, to the authors' best knowledge, the routing design for large volume content has not been well considered in the previous work, which will introduce new challenges, e.g., the enhanced connectivity requirement for a radio link. In this paper, a link Lifetime-aware Beacon-less Routing Protocol (LBRP) is designed for large volume content delivery in VANETs. Each vehicle makes the forwarding decision based on the message header information and its current state, including the speed and position information. A semi-Markov process analytical model is proposed to evaluate the expected delay in constructing one routing path for LBRP. Simulations show that the proposed LBRP scheme outperforms the traditional dissemination protocols in providing a low end-to-end delay. The analytical model is shown to exhibit a good match on the delay estimation with Monte Carlo simulations, as well.
Hu, Miao; Zhong, Zhangdui; Ni, Minming; Baiocchi, Andrea
2016-01-01
Large volume content dissemination is pursued by the growing number of high quality applications for Vehicular Ad hoc NETworks(VANETs), e.g., the live road surveillance service and the video-based overtaking assistant service. For the highly dynamical vehicular network topology, beacon-less routing protocols have been proven to be efficient in achieving a balance between the system performance and the control overhead. However, to the authors’ best knowledge, the routing design for large volume content has not been well considered in the previous work, which will introduce new challenges, e.g., the enhanced connectivity requirement for a radio link. In this paper, a link Lifetime-aware Beacon-less Routing Protocol (LBRP) is designed for large volume content delivery in VANETs. Each vehicle makes the forwarding decision based on the message header information and its current state, including the speed and position information. A semi-Markov process analytical model is proposed to evaluate the expected delay in constructing one routing path for LBRP. Simulations show that the proposed LBRP scheme outperforms the traditional dissemination protocols in providing a low end-to-end delay. The analytical model is shown to exhibit a good match on the delay estimation with Monte Carlo simulations, as well. PMID:27809285
Enhancing outpatient clinics management software by reducing patients' waiting time.
Almomani, Iman; AlSarheed, Ahlam
The Kingdom of Saudi Arabia (KSA) gives great attention to improving the quality of services provided by health care sectors including outpatient clinics. One of the main drawbacks in outpatient clinics is long waiting time for patients-which affects the level of patient satisfaction and the quality of services. This article addresses this problem by studying the Outpatient Management Software (OMS) and proposing solutions to reduce waiting times. Many hospitals around the world apply solutions to overcome the problem of long waiting times in outpatient clinics such as hospitals in the USA, China, Sri Lanka, and Taiwan. These clinics have succeeded in reducing wait times by 15%, 78%, 60% and 50%, respectively. Such solutions depend mainly on adding more human resources or changing some business or management policies. The solutions presented in this article reduce waiting times by enhancing the software used to manage outpatient clinics services. Both quantitative and qualitative methods have been used to understand current OMS and examine level of patient's satisfaction. Five main problems that may cause high or unmeasured waiting time have been identified: appointment type, ticket numbering, doctor late arrival, early arriving patient and patients' distribution list. These problems have been mapped to the corresponding OMS components. Solutions to the above problems have been introduced and evaluated analytically or by simulation experiments. Evaluation of the results shows a reduction in patient waiting time. When late doctor arrival issues are solved, this can reduce the clinic service time by up to 20%. However, solutions for early arriving patients reduces 53.3% of vital time, 20% of the clinic time and overall 30.3% of the total waiting time. Finally, well patient-distribution lists make improvements by 54.2%. Improvements introduced to the patients' waiting time will consequently affect patients' satisfaction and improve the quality of health care services. Copyright © 2016 King Saud Bin Abdulaziz University for Health Sciences. Published by Elsevier Ltd. All rights reserved.
Ultrasonic assessment of additive manufactured Ti-6Al-4V
NASA Astrophysics Data System (ADS)
Schehl, Norman; Kramb, Vicki; Dierken, Josiah; Aldrin, John; Schwalbach, Edwin; John, Reji
2018-04-01
Additive Manufacturing (AM) processes offer the potential for manufacturing cost savings and rapid insertion into service through production of near net shape components for complicated structures. Use of these parts in high reliability applications such as those in the aerospace industry will require nondestructive characterization methods to ensure post-process material quality in as-built condition. Ultrasonic methods can be used for this quality verification. Depending on the application, the service life of AM components can be sensitive to the part surface condition. The surface roughness and layered structure inherent to the electron-beam powder-bed fusion process necessitates new approaches to evaluate subsurface material integrity in its presence. Experimental methods and data analytics may improve the evaluation of as-built additively manufactured materials. This paper discusses the assessment of additively manufactured EBM Ti-6Al-4V panels using ultrasonic methods and the data analytics applied to evaluate material integrity. The assessment was done as an exploratory study as the discontinuities of interest in these test samples were not known when the measurements were performed. Water immersion ultrasonic techniques, including pulse-echo and through transmission with 10 MHz focused transducers, were used to explore the material integrity of as-built plates. Subsequent destructive mechanical tests of specimens extracted from the plates provided fracture locations indicating critical flaws. To further understand the effect of surface-roughness, an evaluation of ultrasonic response in the presence of as-built surfaces and with the surface removed was performed. The assessment of additive manufactured EBM Ti-6Al-4V panels with ultrasonic techniques indicated that ultrasonic energy was attenuated by the as-built surface roughness. In addition, feature detection was shown to be sensitive to experimental ultrasonic parameters and flaw morphology.
Soil Quality Assessment Is a Necessary First Step for Designing Urban Green Infrastructure.
Montgomery, James A; Klimas, Christie A; Arcus, Joseph; DeKnock, Christian; Rico, Kathryn; Rodriguez, Yarency; Vollrath, Katherine; Webb, Ellen; Williams, Allison
2016-01-01
This paper describes the results of a preliminary project conducted by a team of DePaul University undergraduate students and staff from the Gary Comer Youth Center located on Chicago's South Side. The team assessed soil quality on 116 samples collected among four abandoned residential lots adjacent to the Comer Center. Soil quality data will be used in a follow-up study to determine the suitability of each lot for green infrastructure implementation. Green infrastructure may be a useful approach for providing ecosystem services and mitigating food deserts in inner-city communities. Soil quality on all lots was poor. All soils had pH >8.0, low biological activity, and low N mineralization potential. The soils were rich in available P and had mean total Pb concentrations above the USEPA threshold (400 mg kg) for children's playlots. Mean bioavailable Pb on the largest of the four lots was 12% of total Pb, indicating that most of the total Pb is not bioavailable. This result is encouraging because high bioavailable Pb concentrations are linked with negative health effects, particularly in children. All lots had NO-N concentrations below those considered to be appropriate for plant growth. On the other hand, no significant differences in mean concentrations of the other analytes were found. The poor soil quality in the four lots presents an opportunity to use green infrastructure to enhance ecosystem services, improve community and environmental health, and provide more equitable access to green space. Copyright © by the American Society of Agronomy, Crop Science Society of America, and Soil Science Society of America, Inc.
Hosogaya, Shigemi; Ozaki, Yukio
2005-06-01
Many external quality assessment schemes (EQAS) are performed to support quality improvement of the services provided by participating laboratories for the benefits of patients. The EQAS organizer shall be responsible for ensuring that the method of evaluation is appropriate for maintenance of the credibility of the schemes. Procedures to evaluate each participating laboratory are gradually being standardized. In most cases of EQAS, the peer group mean is used as a target of accuracy, and the peer group standard deviation is used as a criterion for inter-laboratory variation. On the other hand, Fraser CG, et al. proposed desirable quality specifications for any imprecision and inaccuracies, which were derived from inter- and intra-biologic variations. We also proposed allowable limits of analytical error, being less than one-half of the average intra-individual variation for evaluation of imprecision, and less than one-quarter of the inter- plus intra-individual variation for evaluation of inaccuracy. When expressed in coefficient of variation terms, these allowable limits may be applied at a wide range of levels of quantity.
Review of Research Reporting Guidelines for Radiology Researchers.
Cronin, Paul; Rawson, James V
2016-05-01
Prior articles have reviewed reporting guidelines and study evaluation tools for clinical research. However, only some of the many available accepted reporting guidelines at the Enhancing the QUAlity and Transparency Of health Research Network have been discussed in previous reports. In this paper, we review the key Enhancing the QUAlity and Transparency Of health Research reporting guidelines that have not been previously discussed. The study types include diagnostic and prognostic studies, reliability and agreement studies, observational studies, analytical and descriptive, experimental studies, quality improvement studies, qualitative research, health informatics, systematic reviews and meta-analyses, economic evaluations, and mixed methods studies. There are also sections on study protocols, and statistical analyses and methods. In each section, there is a brief overview of the study type, and then the reporting guideline(s) that are most applicable to radiology researchers including radiologists involved in health services research are discussed. Copyright © 2016 The Association of University Radiologists. Published by Elsevier Inc. All rights reserved.
NASA Technical Reports Server (NTRS)
James, John T.
2001-01-01
The toxicological assessment of air samples returned at the end of the STS-102 (5A.1) flight to the ISS is reported. ISS air samples were taken in late February 2001 from the Service Module, FGB, and U.S. Laboratory using grab sample canisters (GSCs) and/or formaldehyde badges . A "first-entry" sample of the multipurpose logistics module (MPLM) atmosphere was taken with a GSC, and preflight and end-of-mission samples were obtained from Discovery using GSCs. Analytical methods have not changed from earlier reports, and all quality control measures were met for the data presented herein. The two general criteria used to assess air quality are the total-non-methane-volatile organic hydrocarbons (NMVOCs) and the total T-value (minus the CO2 contribution). Control of atmospheric alcohols is important to the water recovery system engineers, hence total alcohols were also assessed in each sample. Formaldehyde is quantified separately.
The importance of quality control in validating concentrations ...
A national-scale survey of 247 contaminants of emerging concern (CECs), including organic and inorganic chemical compounds, and microbial contaminants, was conducted in source and treated drinking water samples from 25 treatment plants across the United States. Multiple methods were used to determine these CECs, including six analytical methods to measure 174 pharmaceuticals, personal care products, and pesticides. A three-component quality assurance/quality control (QA/QC) program was designed for the subset of 174 CECs which allowed us to assess and compare performances of the methods used. The three components included: 1) a common field QA/QC protocol and sample design, 2) individual investigator-developed method-specific QA/QC protocols, and 3) a suite of 46 method comparison analytes that were determined in two or more analytical methods. Overall method performance for the 174 organic chemical CECs was assessed by comparing spiked recoveries in reagent, source, and treated water over a two-year period. In addition to the 247 CECs reported in the larger drinking water study, another 48 pharmaceutical compounds measured did not consistently meet predetermined quality standards. Methodologies that did not seem suitable for these analytes are overviewed. The need to exclude analytes based on method performance demonstrates the importance of additional QA/QC protocols. This paper compares the method performance of six analytical methods used to measure 174 emer
Yu, Stella; Lin, Sue; Strickland, Bonnie
2015-01-01
Lower health care utilization and less favorable health outcomes have been demonstrated in children from Non-English Primary Language households (NEPL) in previous studies. This study examines prevalence of health care quality indicators among US children with special health care needs (CSHCN) and their association with household language use. We used data from the 2009-2010 National Survey of Children with Special Health Care Needs, restricted to an analytic sample of 40,242 children. Logistic regression models were used to examine the effects of primary household language on the attainment of the 6 health care quality indicators for CSHCN. Compared to CSHCN from English primary language households (EPL), CSHCN from NEPL households had 31% higher odds of not feeling like partners in health care decision-making. They had 67% higher odds of lacking care through a medical home and 42% higher odds of reporting inadequate health insurance. NEPL children had 32% higher odds of not receiving early and continuous screening for special health care needs. NEPL youths had 69% higher odds of not receiving services for transition to adulthood. Minority race/ethnicity, lower income and families other than two biological parents all conferred additional risks to not attaining quality indicators. Publicly insured or uninsured CSHCN were also at higher risk. Our study provides compelling evidence that significant disparities exist for CSHCN by primary household language status across all health care quality indicators. Establishment of effective surveillance systems and targeting of outreach programs in both developed and developing countries may lead to improved understanding of health care needs and quality of services and reduction of health disparities for this underserved population.
Developing an analytical toxicology service: principles and guidance.
Flanagan, Robert J
2004-01-01
Many acutely poisoned patients are treated with no laboratory help other than general clinical chemistry and haematology. Emergency toxicological analyses (24-hour availability) that could influence immediate patient management such as iron, lithium and paracetamol (acetaminophen), are relatively few in number and are remarkably similar worldwide. These assays should be provided at hospitals with large accident and emergency departments. More complex, less frequently needed clinical toxicological assays that can often be offered on a less urgent basis are usually provided from regional or national centres because of the need to make best use of resources. Recommendations as to the assays that should be provided locally and at regional centres are available for the UK and US, and are generally applicable. Regional centres normally diversify into specialised therapeutic drug monitoring, urine screening for drugs of abuse, metals analysis and sometimes forensic work in order to widen the repertoire of tests available and to increase funding. Whatever the type and quantity of work undertaken and the instrumentation used, guidelines are now available delineating staff training, method validation, assay operation, quality control/quality assurance, and indeed virtually all other aspects of laboratory operation. These considerations notwithstanding, clinical interpretation of analytical results remains a difficult area and is the responsibility of the reporting laboratory, at least in the first instance.
ERIC Educational Resources Information Center
Zheng, Gaoming; Cai, Yuzhuo; Ma, Shaozhuang
2017-01-01
This paper intends to construct an analytical framework for understanding quality assurance in international joint programmes and to test it in a case analysis of a European--Chinese joint doctoral degree programme. The development of a quality assurance system for an international joint programme is understood as an institutionalization process…
Westenberger, Benjamin J; Ellison, Christopher D; Fussner, Andrew S; Jenney, Susan; Kolinski, Richard E; Lipe, Terra G; Lyon, Robbe C; Moore, Terry W; Revelle, Larry K; Smith, Anjanette P; Spencer, John A; Story, Kimberly D; Toler, Duckhee Y; Wokovich, Anna M; Buhse, Lucinda F
2005-12-08
This work investigated the use of non-traditional analytical methods to evaluate the quality of a variety of pharmaceutical products purchased via internet sites from foreign sources and compared the results with those obtained from conventional quality assurance methods. Traditional analytical techniques employing HPLC for potency, content uniformity, chromatographic purity and drug release profiles were used to evaluate the quality of five selected drug products (fluoxetine hydrochloride, levothyroxine sodium, metformin hydrochloride, phenytoin sodium, and warfarin sodium). Non-traditional techniques, such as near infrared spectroscopy (NIR), NIR imaging and thermogravimetric analysis (TGA), were employed to verify the results and investigate their potential as alternative testing methods. Two of 20 samples failed USP monographs for quality attributes. The additional analytical methods found 11 of 20 samples had different formulations when compared to the U.S. product. Seven of the 20 samples arrived in questionable containers, and 19 of 20 had incomplete labeling. Only 1 of the 20 samples had final packaging similar to the U.S. products. The non-traditional techniques complemented the traditional techniques used and highlighted additional quality issues for the products tested. For example, these methods detected suspect manufacturing issues (such as blending), which were not evident from traditional testing alone.
Review of Pre-Analytical Errors in Oral Glucose Tolerance Testing in a Tertiary Care Hospital.
Nanda, Rachita; Patel, Suprava; Sahoo, Sibashish; Mohapatra, Eli
2018-03-13
The pre-pre-analytical and pre-analytical phases form a major chunk of the errors in a laboratory. The process has taken into consideration a very common procedure which is the oral glucose tolerance test to identify the pre-pre-analytical errors. Quality indicators provide evidence of quality, support accountability and help in the decision making of laboratory personnel. The aim of this research is to evaluate pre-analytical performance of the oral glucose tolerance test procedure. An observational study that was conducted overa period of three months, in the phlebotomy and accessioning unit of our laboratory using questionnaire that examined the pre-pre-analytical errors through a scoring system. The pre-analytical phase was analyzed for each sample collected as per seven quality indicators. About 25% of the population gave wrong answer with regard to the question that tested the knowledge of patient preparation. The appropriateness of test result QI-1 had the most error. Although QI-5 for sample collection had a low error rate, it is a very important indicator as any wrongly collected sample can alter the test result. Evaluating the pre-analytical and pre-pre-analytical phase is essential and must be conducted routinely on a yearly basis to identify errors and take corrective action and to facilitate their gradual introduction into routine practice.
Aarsand, Aasne K; Villanger, Jørild H; Støle, Egil; Deybach, Jean-Charles; Marsden, Joanne; To-Figueras, Jordi; Badminton, Mike; Elder, George H; Sandberg, Sverre
2011-11-01
The porphyrias are a group of rare metabolic disorders whose diagnosis depends on identification of specific patterns of porphyrin precursor and porphyrin accumulation in urine, blood, and feces. Diagnostic tests for porphyria are performed by specialized laboratories in many countries. Data regarding the analytical and diagnostic performance of these laboratories are scarce. We distributed 5 sets of multispecimen samples from different porphyria patients accompanied by clinical case histories to 18-21 European specialist porphyria laboratories/centers as part of a European Porphyria Network organized external analytical and postanalytical quality assessment (EQA) program. The laboratories stated which analyses they would normally have performed given the case histories and reported results of all porphyria-related analyses available, interpretative comments, and diagnoses. Reported diagnostic strategies initially showed considerable diversity, but the number of laboratories applying adequate diagnostic strategies increased during the study period. We found an average interlaboratory CV of 50% (range 12%-152%) for analytes in absolute concentrations. Result normalization by forming ratios to the upper reference limits did not reduce this variation. Sixty-five percent of reported results were within biological variation-based analytical quality specifications. Clinical interpretation of the obtained analytical results was accurate, and most laboratories established the correct diagnosis in all distributions. Based on a case-based EQA scheme, variations were apparent in analytical and diagnostic performance between European specialist porphyria laboratories. Our findings reinforce the use of EQA schemes as an essential tool to assess both analytical and diagnostic processes and thereby to improve patient care in rare diseases.
Iqbal, Sahar; Mustansar, Tazeen
2017-03-01
Sigma is a metric that quantifies the performance of a process as a rate of Defects-Per-Million opportunities. In clinical laboratories, sigma metric analysis is used to assess the performance of laboratory process system. Sigma metric is also used as a quality management strategy for a laboratory process to improve the quality by addressing the errors after identification. The aim of this study is to evaluate the errors in quality control of analytical phase of laboratory system by sigma metric. For this purpose sigma metric analysis was done for analytes using the internal and external quality control as quality indicators. Results of sigma metric analysis were used to identify the gaps and need for modification in the strategy of laboratory quality control procedure. Sigma metric was calculated for quality control program of ten clinical chemistry analytes including glucose, chloride, cholesterol, triglyceride, HDL, albumin, direct bilirubin, total bilirubin, protein and creatinine, at two control levels. To calculate the sigma metric imprecision and bias was calculated with internal and external quality control data, respectively. The minimum acceptable performance was considered as 3 sigma. Westgard sigma rules were applied to customize the quality control procedure. Sigma level was found acceptable (≥3) for glucose (L2), cholesterol, triglyceride, HDL, direct bilirubin and creatinine at both levels of control. For rest of the analytes sigma metric was found <3. The lowest value for sigma was found for chloride (1.1) at L2. The highest value of sigma was found for creatinine (10.1) at L3. HDL was found with the highest sigma values at both control levels (8.8 and 8.0 at L2 and L3, respectively). We conclude that analytes with the sigma value <3 are required strict monitoring and modification in quality control procedure. In this study application of sigma rules provided us the practical solution for improved and focused design of QC procedure.
Dungey, Sheena; Glew, Simon; Heyes, Barbara; Macleod, John; Tate, A Rosemary
2016-09-01
Electronic healthcare records provide information about patient care over time which not only affords the opportunity to improve patient care directly through effective monitoring and identification of care requirements but also offers a unique platform for both clinical and service-model research essential to the longer-term development of the health service. The quality of the recorded data can, however, be variable and can compromise the validity of data use both for primary and secondary purposes. In order to explore the challenges and benefits of and approaches to recording high quality primary care electronic records, a Clinical Practice Research Datalink (CPRD) sponsored workshop was held at the Society of Academic Primary Care (SAPC) conference in 2014 with the aim of engaging GPs and other data users. The workshop was held as a structured discussion, led by an expert panel and focused around three questions: (1) What are the data quality priorities for clinicians and researchers? How do these priorities differ or overlap? (2) What challenges might GPs face in provision of good data quality both for treating their patients and for research? Do these aims conflict? (3) What tools (such as data metrics and visualisations or software components) could assist the GP in improving data quality and patient management and could this tie in with analytical processes occurring at the research stage? The discussion highlighted both overlap and differences in the perceived data quality priorities and challenges for different user groups. Five key areas of focus were agreed upon and recommendations determined for moving forward in improving quality. The importance of good high quality electronic healthcare records has been set forth along with the need for a practical user-considered and collaborative approach to its improvement.
This standard operating procedure describes the method used for the determination of target analytes in sample extracts and related quality assurance/quality control sample extracts generated in the CTEPP study.
USGS Laboratory Review Program Ensures Analytical Quality
Erdmann, David E.
1995-01-01
The USGS operates a review program for laboratories that analyze samples for USGS environmental investigations. This program has been effective in providing QA feedback to laboratories while ensuring that analytical data are consistent, of satisfactory quality, and meet the data objectives of the investigation.
DOE Office of Scientific and Technical Information (OSTI.GOV)
Pool, K.H.; Evans, J.C.; Olsen, K.B.
1997-08-01
This report presents the results from analyses of samples taken from the headspace of waste storage tank 241-S-102 (Tank S-102) at the Hanford Site in Washington State. Tank headspace samples collected by SGN Eurisys Service Corporation (SESC) were analyzed by Pacific Northwest National Laboratory (PNNL) to determine headspace concentrations of selected non-radioactive analytes. Analyses were performed by the Vapor Analytical Laboratory (VAL) at PNNL. Vapor concentrations from sorbent trap samples are based on measured sample volumes provided by SESC. Ammonia was determined to be above the immediate notification limit of 150 ppm as specified by the sampling and analysis planmore » (SAP). Hydrogen was the principal flammable constituent of the Tank S-102 headspace, determined to be present at approximately 2.410% of its lower flammability limit (LFL). Total headspace flammability was estimated to be <2.973% of its lower flammability limit (LFL). Total headspace flammability was estimated to be <2.973% of the LFL. Average measured concentrations of targeted gases, inorganic vapors, and selected organic vapors are provided in Table S.1. A summary of experimental methods, including sampling methodology, analytical procedures, and quality assurance and control methods are presented in Section 2.0. Detailed descriptions of the analytical results are provided in Section 3.0.« less
DOE Office of Scientific and Technical Information (OSTI.GOV)
Lindberg, Michael J.
2012-04-25
This is a revision to a previously released report. This revision contains additional analytical results for the sample with HEIS number B2H4X7. Between November 4, 2010 and October 26, 2011 sediment samples were received from 100-HR-3 Operable Unit for geochemical studies. The analyses for this project were performed at the 331 building located in the 300 Area of the Hanford Site. The analyses were performed according to Pacific Northwest National Laboratory (PNNL) approved procedures and/or nationally recognized test procedures. The data sets include the sample identification numbers, analytical results, estimated quantification limits (EQL), and quality control data. The preparatory andmore » analytical quality control requirements, calibration requirements, acceptance criteria, and failure actions are defined in the on-line QA plan 'Conducting Analytical Work in Support of Regulatory Programs' (CAW). This QA plan implements the Hanford Analytical Services Quality Assurance Requirements Documents (HASQARD) for PNNL. Samples were received with a chain of custody (COC) and were analyzed according to the sample identification numbers supplied by the client. All Samples were refrigerated upon receipt until prepared for analysis. All samples were received with custody seals intact unless noted in the Case Narrative. Holding time is defined as the time from sample preparation to the time of analyses. The prescribed holding times were met for all analytes unless noted in the Case Narrative. All reported analytical results meet the requirements of the CAW or client specified SOW unless noted in the case narrative. Due to the requirements of the statement of work and sampling events in the field, the 28 day and the 48 hr requirements cannot be met. The statement of work requires samples to be selected at the completion of the borehole. It is not always possible to complete a borehole and have the samples shipped to the laboratory within the hold time requirements. Duplicate RPD for Uranium 238 (38.9%) was above the acceptance limit (35) in 1E05003-DUP1 for ICPMS-Tc-U-WE The sample result is less than 10 times the detection limits. Duplicate recoveries are not applicable to this analyte. Duplicate RPD for Silver 107 (68.2%) was above the acceptance limit (35) in 2C06004-DUP1 for ICPMS-RCRA-AE The sample result is less than 10 times the detection limits. Duplicate recoveries are not applicable to this analyte. Matrix Spike Recovery for Chromium, Hexavalent (48.8%) was outside acceptance limits (75-125) in 1E23001-MS1 for Hexavalent Chromium/Soil. Potential Matrix interference. Sample results associated with this batch are below the EQL. There should be no impact to the data as reported. Matrix Spike Recovery for Chromium, Hexavalent (50.2%) was outside acceptance limits (75-125) in 2B22010-MS1 for Hexavalent Chromium/Soil. Potential Matrix interference. Sample results associated with this batch are below the EQL. There should be no impact to the data as reported.« less
How to conduct External Quality Assessment Schemes for the pre-analytical phase?
Kristensen, Gunn B B; Aakre, Kristin Moberg; Kristoffersen, Ann Helen; Sandberg, Sverre
2014-01-01
In laboratory medicine, several studies have described the most frequent errors in the different phases of the total testing process, and a large proportion of these errors occur in the pre-analytical phase. Schemes for registration of errors and subsequent feedback to the participants have been conducted for decades concerning the analytical phase by External Quality Assessment (EQA) organizations operating in most countries. The aim of the paper is to present an overview of different types of EQA schemes for the pre-analytical phase, and give examples of some existing schemes. So far, very few EQA organizations have focused on the pre-analytical phase, and most EQA organizations do not offer pre-analytical EQA schemes (EQAS). It is more difficult to perform and standardize pre-analytical EQAS and also, accreditation bodies do not ask the laboratories for results from such schemes. However, some ongoing EQA programs for the pre-analytical phase do exist, and some examples are given in this paper. The methods used can be divided into three different types; collecting information about pre-analytical laboratory procedures, circulating real samples to collect information about interferences that might affect the measurement procedure, or register actual laboratory errors and relate these to quality indicators. These three types have different focus and different challenges regarding implementation, and a combination of the three is probably necessary to be able to detect and monitor the wide range of errors occurring in the pre-analytical phase.
DOE Office of Scientific and Technical Information (OSTI.GOV)
Tandon, Lav; Kuhn, Kevin J; Drake, Lawrence R
Los Alamos National Laboratory's (LANL) Actinide Analytical Chemistry (AAC) group has been in existence since the Manhattan Project. It maintains a complete set of analytical capabilities for performing complete characterization (elemental assay, isotopic, metallic and non metallic trace impurities) of uranium and plutonium samples in different forms. For a majority of the customers there are strong quality assurance (QA) and quality control (QC) objectives including highest accuracy and precision with well defined uncertainties associated with the analytical results. Los Alamos participates in various international and national programs such as the Plutonium Metal Exchange Program, New Brunswick Laboratory's (NBL' s) Safeguardsmore » Measurement Evaluation Program (SME) and several other inter-laboratory round robin exercises to monitor and evaluate the data quality generated by AAC. These programs also provide independent verification of analytical measurement capabilities, and allow any technical problems with analytical measurements to be identified and corrected. This presentation will focus on key analytical capabilities for destructive analysis in AAC and also comparative data between LANL and peer groups for Pu assay and isotopic analysis.« less
Wong, Hai Ming; Bridges, Susan Margaret; McGrath, Colman Patrick; Yiu, Cynthia Kar Yung; Zayts, Olga A; Au, Terry Kit Fong
2017-01-01
Patients' perceived satisfaction is a key performance index of the quality health care service. Good communication has been found to increase patient's perceived satisfaction. The purpose of this study was to examine the impact of the prominent themes arising from clinician-patient conversations on the caregiver's perceived quality of communication during paediatric dental visits. 162 video recordings of clinical dental consultations for 62 cases attending the Paediatric Dentistry Clinic of The Prince Philip Dental Hospital in Hong Kong were captured and transcribed. The patients' demographic information and the caregiver's perceived quality of communication with the clinicians were recorded using the 16-item Dental Patient Feedback on Consultation skills questionnaires. Visual text analytics (Leximancer™) indicated five prominent themes 'disease / treatment', 'treatment procedure related instructions', 'preparation for examination', 'positive reinforcement / reassurance', and 'family / social history' from the clinician-patient conversation of the recorded videos, with 60.2% of the total variance in concept words in this study explained through principal components analysis. Significant variation in perceived quality of communication was noted in five variables regarding the prominent theme 'Positive reinforcement / reassurance': 'number of related words' (p = 0.002), 'number of related utterances' (p = 0.001), 'percentage of the related words in total number of words' (p = 0.005), 'percentage of the related utterances in total number of utterances' (p = 0.035) and 'percentage of time spent in total time duration' (p = 0.023). Clinicians were perceived to be more patient-centered and empathetic if a larger proportion of their conversation showed positive reinforcement and reassurance via using related key words. Care-giver's involvement, such as clinicians' mention of the parent, was also seen as critical to perceptions of quality clinical experience. The study reveals the potential of the application of visual text analytics software in clinical consultations with implications for professional development regarding clinicians' communication skills for improving patients' clinical experiences and treatment satisfaction.
The Earth Data Analytic Services (EDAS) Framework
NASA Astrophysics Data System (ADS)
Maxwell, T. P.; Duffy, D.
2017-12-01
Faced with unprecedented growth in earth data volume and demand, NASA has developed the Earth Data Analytic Services (EDAS) framework, a high performance big data analytics framework built on Apache Spark. This framework enables scientists to execute data processing workflows combining common analysis operations close to the massive data stores at NASA. The data is accessed in standard (NetCDF, HDF, etc.) formats in a POSIX file system and processed using vetted earth data analysis tools (ESMF, CDAT, NCO, etc.). EDAS utilizes a dynamic caching architecture, a custom distributed array framework, and a streaming parallel in-memory workflow for efficiently processing huge datasets within limited memory spaces with interactive response times. EDAS services are accessed via a WPS API being developed in collaboration with the ESGF Compute Working Team to support server-side analytics for ESGF. The API can be accessed using direct web service calls, a Python script, a Unix-like shell client, or a JavaScript-based web application. New analytic operations can be developed in Python, Java, or Scala (with support for other languages planned). Client packages in Python, Java/Scala, or JavaScript contain everything needed to build and submit EDAS requests. The EDAS architecture brings together the tools, data storage, and high-performance computing required for timely analysis of large-scale data sets, where the data resides, to ultimately produce societal benefits. It is is currently deployed at NASA in support of the Collaborative REAnalysis Technical Environment (CREATE) project, which centralizes numerous global reanalysis datasets onto a single advanced data analytics platform. This service enables decision makers to compare multiple reanalysis datasets and investigate trends, variability, and anomalies in earth system dynamics around the globe.
Kumar, B. Vinodh; Mohan, Thuthi
2018-01-01
OBJECTIVE: Six Sigma is one of the most popular quality management system tools employed for process improvement. The Six Sigma methods are usually applied when the outcome of the process can be measured. This study was done to assess the performance of individual biochemical parameters on a Sigma Scale by calculating the sigma metrics for individual parameters and to follow the Westgard guidelines for appropriate Westgard rules and levels of internal quality control (IQC) that needs to be processed to improve target analyte performance based on the sigma metrics. MATERIALS AND METHODS: This is a retrospective study, and data required for the study were extracted between July 2015 and June 2016 from a Secondary Care Government Hospital, Chennai. The data obtained for the study are IQC - coefficient of variation percentage and External Quality Assurance Scheme (EQAS) - Bias% for 16 biochemical parameters. RESULTS: For the level 1 IQC, four analytes (alkaline phosphatase, magnesium, triglyceride, and high-density lipoprotein-cholesterol) showed an ideal performance of ≥6 sigma level, five analytes (urea, total bilirubin, albumin, cholesterol, and potassium) showed an average performance of <3 sigma level and for level 2 IQCs, same four analytes of level 1 showed a performance of ≥6 sigma level, and four analytes (urea, albumin, cholesterol, and potassium) showed an average performance of <3 sigma level. For all analytes <6 sigma level, the quality goal index (QGI) was <0.8 indicating the area requiring improvement to be imprecision except cholesterol whose QGI >1.2 indicated inaccuracy. CONCLUSION: This study shows that sigma metrics is a good quality tool to assess the analytical performance of a clinical chemistry laboratory. Thus, sigma metric analysis provides a benchmark for the laboratory to design a protocol for IQC, address poor assay performance, and assess the efficiency of existing laboratory processes. PMID:29692587
Quality indicators and specifications for strategic and support processes in laboratory medicine.
Ricós, Carmen; Biosca, Carme; Ibarz, Mercè; Minchinela, Joana; Llopis, Maantonia; Perich, Carmen; Alsina, Jesus; Alvarez, Virtudes; Doménech, Vicenta; Pastor, Rosa Ma; Sansalvador, Mireia; Isern, Gloria Trujillo; Navarro, Conrad Vilanova
2008-01-01
This work is the second part of a study regarding indicators and quality specifications for the non-analytical processes in laboratory medicine. Five primary care and five hospital laboratories agreed on the indicators for two strategic processes (quality planning and project development) and various support processes (client relationships, instrument and infrastructure maintenance, safety and risk prevention, purchases and storage, personnel training). In the majority of cases, the median values recorded over 1 year is considered to be the state-of-the-art in our setting and proposed as the quality specification for the indicators stated. Values have been stratified according to primary care and hospital laboratory for referred tests and group of personnel for training. In some cases, the specifications have been set equal to zero events, such as serious incidents in the infrastructure maintenance process and number of work accidents in the safety and risk prevention process. In light of this study, an effort is needed to optimize decisions regarding corrective actions and to move from a subjective individual criterion to systematic and comparative management. This preliminary study provides a comprehensive vision of a subject that could motivate further research and advances in the quality of laboratory services.
Quality control analytical methods: refractive index.
Allen, Loyd V
2015-01-01
There are numerous analytical methods that can be utilized in a compounding pharmacy for a quality-assurance program. Since the index of refraction of a liquid/solution is a physical constant, it can be used to assist in identification of a substance, establish its purity, and, in some instances, to determine the concentration of an analyte in solution. This article serves as an introduction to refractive index and some applications of its use in a compounding program.
Orlandini, Serena; Pasquini, Benedetta; Caprini, Claudia; Del Bubba, Massimo; Pinzauti, Sergio; Furlanetto, Sandra
2015-11-01
A fast and selective CE method for the determination of zolmitriptan (ZOL) and its five potential impurities has been developed applying the analytical Quality by Design principles. Voltage, temperature, buffer concentration, and pH were investigated as critical process parameters that can influence the critical quality attributes, represented by critical resolution values between peak pairs, analysis time, and peak efficiency of ZOL-dimer. A symmetric screening matrix was employed for investigating the knowledge space, and a Box-Behnken design was used to evaluate the main, interaction, and quadratic effects of the critical process parameters on the critical quality attributes. Contour plots were drawn highlighting important interactions between buffer concentration and pH, and the gained information was merged into the sweet spot plots. Design space (DS) was established by the combined use of response surface methodology and Monte Carlo simulations, introducing a probability concept and thus allowing the quality of the analytical performances to be assured in a defined domain. The working conditions (with the interval defining the DS) were as follows: BGE, 138 mM (115-150 mM) phosphate buffer pH 2.74 (2.54-2.94); temperature, 25°C (24-25°C); voltage, 30 kV. A control strategy was planned based on method robustness and system suitability criteria. The main advantages of applying the Quality by Design concept consisted of a great increase of knowledge of the analytical system, obtained throughout multivariate techniques, and of the achievement of analytical assurance of quality, derived by probability-based definition of DS. The developed method was finally validated and applied to the analysis of ZOL tablets. © 2015 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.
DOE Office of Scientific and Technical Information (OSTI.GOV)
Dowson, Scott T.; Bruce, Joseph R.; Best, Daniel M.
2009-04-14
This paper presents key components of the Law Enforcement Information Framework (LEIF) that provides communications, situational awareness, and visual analytics tools in a service-oriented architecture supporting web-based desktop and handheld device users. LEIF simplifies interfaces and visualizations of well-established visual analytical techniques to improve usability. Advanced analytics capability is maintained by enhancing the underlying processing to support the new interface. LEIF development is driven by real-world user feedback gathered through deployments at three operational law enforcement organizations in the US. LEIF incorporates a robust information ingest pipeline supporting a wide variety of information formats. LEIF also insulates interface and analyticalmore » components from information sources making it easier to adapt the framework for many different data repositories.« less
Quality of Big Data in Healthcare
Sukumar, Sreenivas R.; Ramachandran, Natarajan; Ferrell, Regina Kay
2015-01-01
The current trend in Big Data Analytics and in particular Health information technology is towards building sophisticated models, methods and tools for business, operational and clinical intelligence, but the critical issue of data quality required for these models is not getting the attention it deserves. The objective of the paper is to highlight the issues of data quality in the context of Big Data Healthcare Analytics.
Quality of Big Data in Healthcare
DOE Office of Scientific and Technical Information (OSTI.GOV)
Sukumar, Sreenivas R.; Ramachandran, Natarajan; Ferrell, Regina Kay
The current trend in Big Data Analytics and in particular Health information technology is towards building sophisticated models, methods and tools for business, operational and clinical intelligence, but the critical issue of data quality required for these models is not getting the attention it deserves. The objective of the paper is to highlight the issues of data quality in the context of Big Data Healthcare Analytics.
On Statistical Approaches for Demonstrating Analytical Similarity in the Presence of Correlation.
Yang, Harry; Novick, Steven; Burdick, Richard K
Analytical similarity is the foundation for demonstration of biosimilarity between a proposed product and a reference product. For this assessment, currently the U.S. Food and Drug Administration (FDA) recommends a tiered system in which quality attributes are categorized into three tiers commensurate with their risk and approaches of varying statistical rigor are subsequently used for the three-tier quality attributes. Key to the analyses of Tiers 1 and 2 quality attributes is the establishment of equivalence acceptance criterion and quality range. For particular licensure applications, the FDA has provided advice on statistical methods for demonstration of analytical similarity. For example, for Tier 1 assessment, an equivalence test can be used based on an equivalence margin of 1.5 σ R , where σ R is the reference product variability estimated by the sample standard deviation S R from a sample of reference lots. The quality range for demonstrating Tier 2 analytical similarity is of the form X̄ R ± K × σ R where the constant K is appropriately justified. To demonstrate Tier 2 analytical similarity, a large percentage (e.g., 90%) of test product must fall in the quality range. In this paper, through both theoretical derivations and simulations, we show that when the reference drug product lots are correlated, the sample standard deviation S R underestimates the true reference product variability σ R As a result, substituting S R for σ R in the Tier 1 equivalence acceptance criterion and the Tier 2 quality range inappropriately reduces the statistical power and the ability to declare analytical similarity. Also explored is the impact of correlation among drug product lots on Type I error rate and power. Three methods based on generalized pivotal quantities are introduced, and their performance is compared against a two-one-sided tests (TOST) approach. Finally, strategies to mitigate risk of correlation among the reference products lots are discussed. A biosimilar is a generic version of the original biological drug product. A key component of a biosimilar development is the demonstration of analytical similarity between the biosimilar and the reference product. Such demonstration relies on application of statistical methods to establish a similarity margin and appropriate test for equivalence between the two products. This paper discusses statistical issues with demonstration of analytical similarity and provides alternate approaches to potentially mitigate these problems. © PDA, Inc. 2016.
Toxicological Assessment of ISS Air Quality: June - September 2013 (Increment 36)
NASA Technical Reports Server (NTRS)
Meyers, Valerie
2014-01-01
Fourteen mini grab sample containers (msGSCs) were collected on ISS between June and September 2013 and were returned on 34S; however, the ATV-4 first ingress mGSC did not contain sufficient sample to report results (initial sample pressure = 1.2 psia). Of the remaining 13 mGSCs, 12 were collected as routine monthly samples in the Russian Service Module (SM), US Laboratory (Lab), and either the Japanese Pressurized Module (JPM) or the Columbus module (Col), and 1 was collected during HTV-4 first ingress. A summary of the analytical results from the 13 valid mGSCs is shown.
NASA Astrophysics Data System (ADS)
Chowdhury, Prasun; Saha Misra, Iti
2014-10-01
Nowadays, due to increased demand for using the Broadband Wireless Access (BWA) networks in a satisfactory manner a promised Quality of Service (QoS) is required to manage the seamless transmission of the heterogeneous handoff calls. To this end, this paper proposes an improved Call Admission Control (CAC) mechanism with prioritized handoff queuing scheme that aims to reduce dropping probability of handoff calls. Handoff calls are queued when no bandwidth is available even after the allowable bandwidth degradation of the ongoing calls and get admitted into the network when an ongoing call is terminated with a higher priority than the newly originated call. An analytical Markov model for the proposed CAC mechanism is developed to analyze various performance parameters. Analytical results show that our proposed CAC with handoff queuing scheme prioritizes the handoff calls effectively and reduces dropping probability of the system by 78.57% for real-time traffic without degrading the number of failed new call attempts. This results in the increased bandwidth utilization of the network.
Bartholomay, R.C.
1993-01-01
Water from 11 wells completed in the Snake River Plain aquifer at the Idaho National Engineering Laboratory was sampled as part of the U.S. Geological Survey's quality assurance program to determine the effect of purging different borehole volumes on tritium and strontium-90 concentrations. Wells were selected for sampling on the basis of the length of time it took to purge a borehole volume of water. Samples were collected after purging one, two, and three borehole volumes. The U.S. Department of Energy's Radiological and Environmental Sciences Laboratory provided analytical services. Statistics were used to determine the reproducibility of analytical results. The comparison between tritium and strontium-90 concentrations after purging one and three borehole volumes and two and three borehole volumes showed that all but two sample pairs with defined numbers were in statistical agreement. Results indicate that concentrations of tritium and strontium-90 are not affected measurably by the number of borehole volumes purged.
Big data and visual analytics in anaesthesia and health care.
Simpao, A F; Ahumada, L M; Rehman, M A
2015-09-01
Advances in computer technology, patient monitoring systems, and electronic health record systems have enabled rapid accumulation of patient data in electronic form (i.e. big data). Organizations such as the Anesthesia Quality Institute and Multicenter Perioperative Outcomes Group have spearheaded large-scale efforts to collect anaesthesia big data for outcomes research and quality improvement. Analytics--the systematic use of data combined with quantitative and qualitative analysis to make decisions--can be applied to big data for quality and performance improvements, such as predictive risk assessment, clinical decision support, and resource management. Visual analytics is the science of analytical reasoning facilitated by interactive visual interfaces, and it can facilitate performance of cognitive activities involving big data. Ongoing integration of big data and analytics within anaesthesia and health care will increase demand for anaesthesia professionals who are well versed in both the medical and the information sciences. © The Author 2015. Published by Oxford University Press on behalf of the British Journal of Anaesthesia. All rights reserved. For Permissions, please email: journals.permissions@oup.com.
Ontology for customer centric digital services and analytics
NASA Astrophysics Data System (ADS)
Keat, Ng Wai; Shahrir, Mohammad Shazri
2017-11-01
In computer science research, ontologies are commonly utilised to create a unified abstract across many rich and different fields. In this paper, we apply the concept to the customer centric domain of digital services analytics and present an analytics solution ontology. The essence is based from traditional Entity Relationship Diagram (ERD), which then was abstracted out to cover wider areas on customer centric digital services. The ontology we developed covers both static aspects (customer identifiers) and dynamic aspects (customer's temporal interactions). The structure of the customer scape is modeled with classes that represent different types of customer touch points, ranging from digital and digital-stamps which represent physical analogies. The dynamic aspects of customer centric digital service are modeled with a set of classes, with the importance is represented in different associations involving establishment and termination of the target interaction. The realized ontology can be used in development of frameworks for customer centric applications, and for specification of common data format used by cooperating digital service applications.
Ryals, John; Lawton, Kay; Stevens, Daniel; Milburn, Michael
2007-07-01
Metabolon is an emerging technology company developing proprietary analytical methods and software for biomarker discovery using metabolomics. The company's aim is to measure all small molecules (<1500 Da) in a biological sample. These small-molecule compounds include biochemicals of cellular metabolism and xenobiotics from diet and environment. Our proprietary mLIMStrade mark system contains advanced metabolomic software and automated data-processing tools that use a variety of data-analysis and quality-control algorithms to convert raw mass-spectrometry data to identified, quantitated compounds. Metabolon's primary focus is a fee-for-service business that exploits this technology for pharmaceutical and biotechnology companies, with additional clients in the consumer goods, cosmetics and agricultural industries. Fee-for-service studies are often collaborations with groups that employ a variety of technologies for biomarker discovery. Metabolon's goal is to develop technology that will automatically analyze any sample for the small-molecule components present and become a standard technology for applications in health and related sciences.
NASA Technical Reports Server (NTRS)
1974-01-01
Technical information is presented covering the areas of: (1) analytical instrumentation useful in the analysis of physical phenomena; (2) analytical techniques used to determine the performance of materials; and (3) systems and component analyses for design and quality control.
The NIH analytical methods and reference materials program for dietary supplements.
Betz, Joseph M; Fisher, Kenneth D; Saldanha, Leila G; Coates, Paul M
2007-09-01
Quality of botanical products is a great uncertainty that consumers, clinicians, regulators, and researchers face. Definitions of quality abound, and include specifications for sanitation, adventitious agents (pesticides, metals, weeds), and content of natural chemicals. Because dietary supplements (DS) are often complex mixtures, they pose analytical challenges and method validation may be difficult. In response to product quality concerns and the need for validated and publicly available methods for DS analysis, the US Congress directed the Office of Dietary Supplements (ODS) at the National Institutes of Health (NIH) to accelerate an ongoing methods validation process, and the Dietary Supplements Methods and Reference Materials Program was created. The program was constructed from stakeholder input and incorporates several federal procurement and granting mechanisms in a coordinated and interlocking framework. The framework facilitates validation of analytical methods, analytical standards, and reference materials.
Parental participation in the habilitation process--evaluation from a user perspective.
Granat, T; Lagander, B; Börjesson, M C
2002-11-01
To develop a national instrument for evaluation of parental participation: (1) to obtain a functional measure of quality from a user perspective; (2) as part of quality development in child habilitation services departments; (3) to create common grounds for the evaluation of important aspects of the habilitation process based on the opinions of users and care professionals; (4) to enable evaluation of individual service departments from a more general viewpoint and to highlight areas for improvement; and (5) to enable comparisons of individual service departments in the future against those of others via benchmarking. The Measurement of Processes of Care (MPOC) was deemed to be the method that corresponded most closely with these formulated aims. A shortened version, MPOC 20, had already been produced and was awaiting publication. This shortened version measures the same important aspects of habilitation as the original MPOC. It also has a new scale, with verbal clarification for each step. This makes it more user friendly, as the results are easier to interpret. MPOC 20 was modified to become MPOC 28. This questionnaire was sent out in 11 of 26 counties in Sweden. The target group for the questionnaires was families with children up to 18 years of age who had been in contact with a habilitation services department for at least 1 year. The sample group comprised 4013 randomly selected families. A total of 3391 (84.5%) returned the questionnaire, and 2458 (61%) had responded to the questions. Twelve particular questions that can be regarded as fundamental to the habilitation processes emerged from the questionnaire in the regression analysis. These are measures of good quality in the habilitation process as perceived by the parents and are important in their overall satisfaction with habilitation services. Apart from the specific information category, these questions represented all the factors, i.e. enabling/partnership, general information, co-ordinated/comprehensive care and respectful/supportive care. MPOC 28 can be useful as an analytical tool for comparisons over time and for measuring changes in the way in which parents rank the various question areas linked to their overall level of satisfaction with the habilitation services in general.
Brett J. Butler; Marla Markowski-Lindsay; Stephanie Snyder; Paul Catanzaro; David B. Kittredge; Kyle Andrejczyk; Brenton J. Dickinson; Derya Eryilmaz; Jaketon H. Hewes; Paula Randler; Donna Tadle; Michael A. Kilgore
2014-01-01
The USDA Forest Service's Forest Stewardship Program (FSP) is the nation's most prominent private forestry assistance program. We examined the FSP using a multiple analytic approach: analysis of annual FSP accomplishments, survey of state FSP coordinators, analytic comparison of family forest owners receiving and not receiving forestry practice assistance,...
Analytical Models of Cross-Layer Protocol Optimization in Real-Time Wireless Sensor Ad Hoc Networks
NASA Astrophysics Data System (ADS)
Hortos, William S.
The real-time interactions among the nodes of a wireless sensor network (WSN) to cooperatively process data from multiple sensors are modeled. Quality-of-service (QoS) metrics are associated with the quality of fused information: throughput, delay, packet error rate, etc. Multivariate point process (MVPP) models of discrete random events in WSNs establish stochastic characteristics of optimal cross-layer protocols. Discrete-event, cross-layer interactions in mobile ad hoc network (MANET) protocols have been modeled using a set of concatenated design parameters and associated resource levels by the MVPPs. Characterization of the "best" cross-layer designs for a MANET is formulated by applying the general theory of martingale representations to controlled MVPPs. Performance is described in terms of concatenated protocol parameters and controlled through conditional rates of the MVPPs. Modeling limitations to determination of closed-form solutions versus explicit iterative solutions for ad hoc WSN controls are examined.
Sefcik, Justine S; Petrovsky, Darina; Streur, Megan; Toles, Mark; O'Connor, Melissa; Ulrich, Connie M; Marcantonio, Sherry; Coburn, Ken; Naylor, Mary D; Moriarty, Helene
2018-03-01
The purpose of this study was to explore participants' experience in the Health Quality Partners (HQP) Care Coordination Program that contributed to their continued engagement. Older adults with multiple chronic conditions often have limited engagement in health care services and face fragmented health care delivery. This can lead to increased risk for disability, mortality, poor quality of life, and increased health care utilization. A qualitative descriptive design with two focus groups was conducted with a total of 20 older adults enrolled in HQP's Care Coordination Program. Conventional content analysis was the analytical technique. The overarching theme resulting from the analysis was "in our corner," with subthemes "opportunities to learn and socialize" and "dedicated nurses," suggesting that these are the primary contributing factors to engagement in HQP's Care Coordination Program. Study findings suggest that nurses play an integral role in patient engagement among older adults enrolled in a care coordination program.
The Boeing 747 fatigue integrity program
NASA Technical Reports Server (NTRS)
Spencer, M. M.
1972-01-01
The fatigue integrity program which was established to insure economic operations and to provide foundation data for inspection and maintenance is discussed. Significant features of the 747 fatigue integrity program are: (1) fatigue analyses which are continually updated to reflect design changes, fatigue test results, and static and flight load survey measurements; (2) material selection and detail design by using initial fatigue analyses, service experience, and testing; and (3) fatigue testing to check detail design quality and to verify the analyses, culminated by the test of a structurally complete airframe. Fatigue stress analyses were performed with the aid of experimental as well as analytical procedures. Extensive application was made of the stress severity factor, developed at Boeing, for evaluating peak stresses in complex joints. A frame of reference was established by families of structural fatigue performance curves (S-N curves) encompassing the range of materials and fatigue qualities anticipated for the 747 airplane design.
Thompson, Steven; Varvel, Stephen; Sasinowski, Maciek; Burke, James P
2016-09-01
Big data and advances in analytical processes represent an opportunity for the healthcare industry to make better evidence-based decisions on the value generated by various tests, procedures, and interventions. Value-based reimbursement is the process of identifying and compensating healthcare providers based on whether their services improve quality of care without increasing cost of care or maintain quality of care while decreasing costs. In this article, we motivate and illustrate the potential opportunities for payers and providers to collaborate and evaluate the clinical and economic efficacy of different healthcare services. We conduct a case study of a firm that offers advanced biomarker and disease state management services for cardiovascular and cardiometabolic conditions. A value-based analysis that comprised a retrospective case/control cohort design was conducted, and claims data for over 7000 subjects who received these services were compared to a matched control cohort. Study subjects were commercial and Medicare Advantage enrollees with evidence of CHD, diabetes, or a related condition. Analysis of medical claims data showed a lower proportion of patients who received biomarker testing and disease state management services experienced a MI (p < 0.01) or diabetic complications (p < 0.001). No significant increase in cost of care was found between the two cohorts. Our results illustrate the opportunity healthcare payers such as Medicare and commercial insurance companies have in terms of identifying value-creating healthcare interventions. However, payers and providers also need to pursue system integration efforts to further automate the identification and dissemination of clinically and economically efficacious treatment plans to ensure at-risk patients receive the treatments and interventions that will benefit them the most.
Kotevska, Olivera; Kusne, A. Gilad; Samarov, Daniel V.; Lbath, Ahmed; Battou, Abdella
2017-01-01
Today’s cities generate tremendous amounts of data, thanks to a boom in affordable smart devices and sensors. The resulting big data creates opportunities to develop diverse sets of context-aware services and systems, ensuring smart city services are optimized to the dynamic city environment. Critical resources in these smart cities will be more rapidly deployed to regions in need, and those regions predicted to have an imminent or prospective need. For example, crime data analytics may be used to optimize the distribution of police, medical, and emergency services. However, as smart city services become dependent on data, they also become susceptible to disruptions in data streams, such as data loss due to signal quality reduction or due to power loss during data collection. This paper presents a dynamic network model for improving service resilience to data loss. The network model identifies statistically significant shared temporal trends across multivariate spatiotemporal data streams and utilizes these trends to improve data prediction performance in the case of data loss. Dynamics also allow the system to respond to changes in the data streams such as the loss or addition of new information flows. The network model is demonstrated by city-based crime rates reported in Montgomery County, MD, USA. A resilient network is developed utilizing shared temporal trends between cities to provide improved crime rate prediction and robustness to data loss, compared with the use of single city-based auto-regression. A maximum improvement in performance of 7.8% for Silver Spring is found and an average improvement of 5.6% among cities with high crime rates. The model also correctly identifies all the optimal network connections, according to prediction error minimization. City-to-city distance is designated as a predictor of shared temporal trends in crime and weather is shown to be a strong predictor of crime in Montgomery County. PMID:29250476
NASA Astrophysics Data System (ADS)
Ostrenga, D.; Shen, S.; Vollmer, B.; Meyer, D. L.
2017-12-01
NASA climate reanalysis dataset from MERRA-2 contains numerous data for atmosphere, land, and ocean, that are grouped into 95 products of archived volume over 300 TB. The data files are saved as hourly-file, day-file (hourly time interval) and month-file containing up to 125 parameters. Due to the large number of data files and the sheer data volumes, it is a challenging for users, especially those in the application research community, to handle dealing with the original data files. Most of these researchers prefer to focus on a small region or single location using the hourly data for long time periods to analyze extreme weather events or say winds for renewable energy applications. At the GES DISC, we have been working closely with the science teams and the application user community to create several new value added data products and high quality services to facilitate the use of the model data for various types of research. We have tested converting hourly data from one-day per file into different data cubes, such as one-month, one-year, or whole-mission and then continued to analyze the efficiency of the accessibility of this newly structured data through various services. Initial results have shown that compared to the original file structure, the new data has significantly improved the performance for accessing long time series. It is noticed that the performance is associated to the cube size and structure, the compression method, and how the data are accessed. The optimized data cube structure will not only improve the data access, but also enable better online analytic services for doing statistical analysis and extreme events mining. Two case studies will be presented using the newly structured data and value added services, the California drought and the extreme drought of the Northeastern states of Brazil. Furthermore, data access and analysis through cloud storage capabilities will be investigated.
Kotevska, Olivera; Kusne, A Gilad; Samarov, Daniel V; Lbath, Ahmed; Battou, Abdella
2017-01-01
Today's cities generate tremendous amounts of data, thanks to a boom in affordable smart devices and sensors. The resulting big data creates opportunities to develop diverse sets of context-aware services and systems, ensuring smart city services are optimized to the dynamic city environment. Critical resources in these smart cities will be more rapidly deployed to regions in need, and those regions predicted to have an imminent or prospective need. For example, crime data analytics may be used to optimize the distribution of police, medical, and emergency services. However, as smart city services become dependent on data, they also become susceptible to disruptions in data streams, such as data loss due to signal quality reduction or due to power loss during data collection. This paper presents a dynamic network model for improving service resilience to data loss. The network model identifies statistically significant shared temporal trends across multivariate spatiotemporal data streams and utilizes these trends to improve data prediction performance in the case of data loss. Dynamics also allow the system to respond to changes in the data streams such as the loss or addition of new information flows. The network model is demonstrated by city-based crime rates reported in Montgomery County, MD, USA. A resilient network is developed utilizing shared temporal trends between cities to provide improved crime rate prediction and robustness to data loss, compared with the use of single city-based auto-regression. A maximum improvement in performance of 7.8% for Silver Spring is found and an average improvement of 5.6% among cities with high crime rates. The model also correctly identifies all the optimal network connections, according to prediction error minimization. City-to-city distance is designated as a predictor of shared temporal trends in crime and weather is shown to be a strong predictor of crime in Montgomery County.
Cembrowski, G S; Hackney, J R; Carey, N
1993-04-01
The Clinical Laboratory Improvement Act of 1988 (CLIA 88) has dramatically changed proficiency testing (PT) practices having mandated (1) satisfactory PT for certain analytes as a condition of laboratory operation, (2) fixed PT limits for many of these "regulated" analytes, and (3) an increased number of PT specimens (n = 5) for each testing cycle. For many of these analytes, the fixed limits are much broader than the previously employed Standard Deviation Index (SDI) criteria. Paradoxically, there may be less incentive to identify and evaluate analytically significant outliers to improve the analytical process. Previously described "control rules" to evaluate these PT results are unworkable as they consider only two or three results. We used Monte Carlo simulations of Kodak Ektachem analyzers participating in PT to determine optimal control rules for the identification of PT results that are inconsistent with those from other laboratories using the same methods. The analysis of three representative analytes, potassium, creatine kinase, and iron was simulated with varying intrainstrument and interinstrument standard deviations (si and sg, respectively) obtained from the College of American Pathologists (Northfield, Ill) Quality Assurance Services data and Proficiency Test data, respectively. Analytical errors were simulated in each of the analytes and evaluated in terms of multiples of the interlaboratory SDI. Simple control rules for detecting systematic and random error were evaluated with power function graphs, graphs of probability of error detected vs magnitude of error. Based on the simulation results, we recommend screening all analytes for the occurrence of two or more observations exceeding the same +/- 1 SDI limit. For any analyte satisfying this condition, the mean of the observations should be calculated. For analytes with sg/si ratios between 1.0 and 1.5, a significant systematic error is signaled by the mean exceeding 1.0 SDI. Significant random error is signaled by one observation exceeding the +/- 3-SDI limit or the range of the observations exceeding 4 SDIs. For analytes with higher sg/si, significant systematic or random error is signaled by violation of the screening rule (having at least two observations exceeding the same +/- 1 SDI limit). Random error can also be signaled by one observation exceeding the +/- 1.5-SDI limit or the range of the observations exceeding 3 SDIs. We present a practical approach to the workup of apparent PT errors.
Phyllis C. Adams; Glenn A. Christensen
2012-01-01
A rigorous quality assurance (QA) process assures that the data and information provided by the Forest Inventory and Analysis (FIA) program meet the highest possible standards of precision, completeness, representativeness, comparability, and accuracy. FIA relies on its analysts to check the final data quality prior to release of a Stateâs data to the national FIA...
Grech, James; Robertson, James; Thomas, Jackson; Cooper, Gabrielle; Naunton, Mark; Kelly, Tamsin
2018-01-05
For decades, thousands of people have been dying from malaria infections because of poor-quality medicines (PQMs). While numerous efforts have been initiated to reduce their presence, PQMs are still risking the lives of those seeking treatment. This review addresses the importance of characterising results of antimalarial medicine field surveys based upon the agreement of clearly defined definitions. Medicines found to be of poor quality can be falsified or counterfeit, substandard or degraded. The distinction between these categories is important as each category requires a different countermeasure. To observe the current trends in the reporting of field surveys, a systematic literature search of six academic databases resulted in the quantitative analysis of 61 full-text journal articles. Information including sample size, sampling method, geographical regions, analytical techniques, and characterisation conclusions was observed for each. The lack of an accepted uniform reporting system has resulted in varying, incomplete reports, which may not include important information that helps form effective countermeasures. The programmes influencing medicine quality such as prequalification, procurement services, awareness and education can be supported with the information derived from characterised results. The implementation of checklists such as the Medicine Quality Assessment Reporting Guidelines will further strengthen the battle against poor-quality antimalarials. Copyright © 2017 Elsevier B.V. All rights reserved.
What affects the quality of economic analysis for life-saving investments?
Hahn, Robert W; Kosec, Katrina; Neumann, Peter J; Wallsten, Scott
2006-06-01
Economic analysis of life-saving investments in both the public and private sectors has the potential to dramatically improve longevity and the quality of life, but only if the analyses on which decisions are based are done well. In this article, we analyze a data set that provides information on the content and quality of journal articles that measure the cost-effectiveness of life-saving investments. Our study is the first to provide a detailed multivariate analysis of factors affecting objective measures of quality. We also explore whether a series of recommendations by an expert panel convened by the U.S. Public Health Service affect the way analyses of specific life-saving investments are done. Our results suggest that four factors are positively correlated with an index we construct to measure analytical quality: (1) having at least one author affiliated with a university, (2) publication in a journal that has experience in publishing these analyses, (3) if the life-saving investment is located in the United States, and (4) if the analysis considers a measure of social costs or benefits. Somewhat surprisingly, a study's funding source and whether it is affiliated with industry are not significantly correlated with the quality index. Finally, neither time nor the panel guidelines had an impact on the index.
USDA-ARS?s Scientific Manuscript database
Current methods for generating malting quality metrics have been developed largely to support commercial malting and brewing operations, providing accurate, reproducible analytical data to guide malting and brewing production. Infrastructure to support these analytical operations often involves sub...
Selecting clinical quality indicators for laboratory medicine.
Barth, Julian H
2012-05-01
Quality in laboratory medicine is often described as doing the right test at the right time for the right person. Laboratory processes currently operate under the oversight of an accreditation body which gives confidence that the process is good. However, there are aspects of quality that are not measured by these processes. These are largely focused on ensuring that the most clinically appropriate test is performed and interpreted correctly. Clinical quality indicators were selected through a two-phase process. Firstly, a series of focus groups of clinical scientists were held with the aim of developing a list of quality indicators. These were subsequently ranked in order by an expert panel of primary and secondary care physicians. The 10 top indicators included the communication of critical results, comprehensive education to all users and adequate quality assurance for point-of-care testing. Laboratories should ensure their tests are used to national standards, that they have clinical utility, are calibrated to national standards and have long-term stability for chronic disease management. Laboratories should have error logs and demonstrate evidence of measures introduced to reduce chances of similar future errors. Laboratories should make a formal scientific evaluation of analytical quality. This paper describes the process of selection of quality indicators for laboratory medicine that have been validated sequentially by deliverers and users of the service. They now need to be converted into measureable variables related to outcome and validated in practice.
Asakura, Takashi
2011-09-01
We aimed to develop measures to assess features of neighborhood quality and individual social capital, as well as their associations with depressive symptoms among early adolescents. To determine whether relations of depressive symptoms with neighborhood quality might be contingent upon the level of individual cognitive social capital, neighborhood-by-cognitive social capital interaction terms were examined. A qualitative study was conducted to elicit the perceptions of early adolescents about their neighborhood environment. Subsequently, we recruited 2,002 eighth graders and asked for responses to a self-administered questionnaire. The variables analyzed in this study were the Center for Epidemiologic Studies-Depression scale (10 items), features of neighborhood quality, cognitive and structural individual social capital, and demographics. We adopted a generalized estimating equation regression model for the multivariate analysis. The analytic sample was 1,786 with no missing variable in the models. Seven subscales were devised to assess quality features of neighborhood environments with an examination of validity and reliability: "availability of services," "good neighborhood relations," "spaces for recreation," "insecurity and danger of accidents," "dirty-looking, squalid, unclean," "civic communities," and "aesthetic look." We also developed a scale of individual cognitive social capital, which consisted of three constructs: "social trust," "reciprocity," and "social norms." Additionally, the number of social activities in which subjects participated was counted as an indicator of the structural aspect of individual social capital. On examination with the generalized estimating equation regression model, "availability of services," "insecurity and danger of accidents," "dirty-looking, squalid, unclean," and cognitive social capital were significantly associated with the CES-D scores controlling for demographics. We also found a significant interplay between "dirty-looking, squalid, unclean" and the cognitive social capital for estimating scores of depressive symptoms. Improvement in features of neighborhood quality such as availability of services, cleanliness, and security and social order in terms of public policy as well as civic activities could contribute to promotion of mental health in adolescents. Individual cognitive social capital accumulated through experiencs of good social relationshisp in a community could also play important roles in maximizing mental health.
Service quality in health care setting.
Rashid, Wan Edura Wan; Jusoff, Hj Kamaruzaman
2009-01-01
This paper attempts to explore the concept of service quality in a health care setting. This paper probes the definition of service quality from technical and functional aspects for a better understanding on how consumers evaluate the quality of health care. It adopts the conceptual model of service quality frequently used by the most researchers in the health care sector. The paper also discusses several service quality dimensions and service quality problems in order to provide a more holistic conception of hospital service quality. The paper finds that service quality in health care is very complex as compared to other services because this sector highly involves risk. The paper adds a new perspective towards understanding how the concept of service quality is adopted in a health care setting.
Hervatis, Vasilis; Loe, Alan; Barman, Linda; O'Donoghue, John; Zary, Nabil
2015-10-06
Preparing the future health care professional workforce in a changing world is a significant undertaking. Educators and other decision makers look to evidence-based knowledge to improve quality of education. Analytics, the use of data to generate insights and support decisions, have been applied successfully across numerous application domains. Health care professional education is one area where great potential is yet to be realized. Previous research of Academic and Learning analytics has mainly focused on technical issues. The focus of this study relates to its practical implementation in the setting of health care education. The aim of this study is to create a conceptual model for a deeper understanding of the synthesizing process, and transforming data into information to support educators' decision making. A deductive case study approach was applied to develop the conceptual model. The analytics loop works both in theory and in practice. The conceptual model encompasses the underlying data, the quality indicators, and decision support for educators. The model illustrates how a theory can be applied to a traditional data-driven analytics approach, and alongside the context- or need-driven analytics approach.
Loe, Alan; Barman, Linda; O'Donoghue, John; Zary, Nabil
2015-01-01
Background Preparing the future health care professional workforce in a changing world is a significant undertaking. Educators and other decision makers look to evidence-based knowledge to improve quality of education. Analytics, the use of data to generate insights and support decisions, have been applied successfully across numerous application domains. Health care professional education is one area where great potential is yet to be realized. Previous research of Academic and Learning analytics has mainly focused on technical issues. The focus of this study relates to its practical implementation in the setting of health care education. Objective The aim of this study is to create a conceptual model for a deeper understanding of the synthesizing process, and transforming data into information to support educators’ decision making. Methods A deductive case study approach was applied to develop the conceptual model. Results The analytics loop works both in theory and in practice. The conceptual model encompasses the underlying data, the quality indicators, and decision support for educators. Conclusions The model illustrates how a theory can be applied to a traditional data-driven analytics approach, and alongside the context- or need-driven analytics approach. PMID:27731840
Tandon, Radhika; Singh, Archita; Gupta, Noopur; Vanathi, M; Gupta, Vivek
2017-02-01
The purpose of this study is to review the history and evolution of the National Eye Bank (NEB) and analyze the impact over the years and report the outcome of the invested resources. Review of archival material, records, project reports, policy and procedures' manuals, and publications was done. Descriptive and analytical processing of data obtained was undertaken. Parameters evaluated included total collection, transplantation, utilization rates of donor cornea, changing trends over time in terms of numbers and duration of recipients waiting, impactful research translated into changes in standard operating protocols, new facilities, and subsequent effects on numbers or quality assurance measures and overview of major achievements. Periodic situational analysis with contextual relevance and interpretation of outcomes was done pertaining to national goals and international standards. The NEB and cornea services have played a key leadership role in furthering the development of eye banking and corneal transplantation services. The contribution extends beyond routine patient care to education, training, generation of resources, advocacy, and policymaking. In quantifiable terms, the overall performance has steadily increased over the years. Major contributions include training of doctors, eye bank staff and corneal surgeons, introduction of innovative techniques for corneal transplantation, setting of national standards for eye banking and provision of preservation media, customized corneal, and ocular surface cell replacement therapy in collaboration with other departments and institutes. The eye banking and corneal transplantation facilities have evolved with time providing quality services, modernized as appropriate with updated knowledge and incorporating technological advances supported by the systematic evidence-based approach.
Tandon, Radhika; Singh, Archita; Gupta, Noopur; Vanathi, M; Gupta, Vivek
2017-01-01
Purpose: The purpose of this study is to review the history and evolution of the National Eye Bank (NEB) and analyze the impact over the years and report the outcome of the invested resources. Methods: Review of archival material, records, project reports, policy and procedures' manuals, and publications was done. Descriptive and analytical processing of data obtained was undertaken. Parameters evaluated included total collection, transplantation, utilization rates of donor cornea, changing trends over time in terms of numbers and duration of recipients waiting, impactful research translated into changes in standard operating protocols, new facilities, and subsequent effects on numbers or quality assurance measures and overview of major achievements. Periodic situational analysis with contextual relevance and interpretation of outcomes was done pertaining to national goals and international standards. Results: The NEB and cornea services have played a key leadership role in furthering the development of eye banking and corneal transplantation services. The contribution extends beyond routine patient care to education, training, generation of resources, advocacy, and policymaking. In quantifiable terms, the overall performance has steadily increased over the years. Major contributions include training of doctors, eye bank staff and corneal surgeons, introduction of innovative techniques for corneal transplantation, setting of national standards for eye banking and provision of preservation media, customized corneal, and ocular surface cell replacement therapy in collaboration with other departments and institutes. Conclusion: The eye banking and corneal transplantation facilities have evolved with time providing quality services, modernized as appropriate with updated knowledge and incorporating technological advances supported by the systematic evidence-based approach. PMID:28345565
Wagner, Michael M.; Levander, John D.; Brown, Shawn; Hogan, William R.; Millett, Nicholas; Hanna, Josh
2013-01-01
This paper describes the Apollo Web Services and Apollo-SV, its related ontology. The Apollo Web Services give an end-user application a single point of access to multiple epidemic simulators. An end user can specify an analytic problem—which we define as a configuration and a query of results—exactly once and submit it to multiple epidemic simulators. The end user represents the analytic problem using a standard syntax and vocabulary, not the native languages of the simulators. We have demonstrated the feasibility of this design by implementing a set of Apollo services that provide access to two epidemic simulators and two visualizer services. PMID:24551417
Wagner, Michael M; Levander, John D; Brown, Shawn; Hogan, William R; Millett, Nicholas; Hanna, Josh
2013-01-01
This paper describes the Apollo Web Services and Apollo-SV, its related ontology. The Apollo Web Services give an end-user application a single point of access to multiple epidemic simulators. An end user can specify an analytic problem-which we define as a configuration and a query of results-exactly once and submit it to multiple epidemic simulators. The end user represents the analytic problem using a standard syntax and vocabulary, not the native languages of the simulators. We have demonstrated the feasibility of this design by implementing a set of Apollo services that provide access to two epidemic simulators and two visualizer services.
Killaspy, Helen; Marston, Louise; Omar, Rumana Z; Green, Nicholas; Harrison, Isobel; Lean, Melanie; Holloway, Frank; Craig, Tom; Leavey, Gerard; King, Michael
2013-01-01
Current health policy assumes better quality services lead to better outcomes. To investigate the relationship between quality of mental health rehabilitation services in England, local deprivation, service user characteristics and clinical outcomes. Standardised tools were used to assess the quality of mental health rehabilitation units and service users' autonomy, quality of life, experiences of care and ratings of the therapeutic milieu. Multiple level modelling investigated relationships between service quality, service user characteristics and outcomes. A total of 52/60 (87%) National Health Service trusts participated, comprising 133 units and 739 service users. All aspects of service quality were positively associated with service users' autonomy, experiences of care and therapeutic milieu, but there was no association with quality of life. Quality of care is linked to better clinical outcomes in people with complex and longer-term mental health problems. Thus, investing in quality is likely to show real clinical gains.
Recommendations for accreditation of laboratories in molecular biology of hematologic malignancies.
Flandrin-Gresta, Pascale; Cornillet, Pascale; Hayette, Sandrine; Gachard, Nathalie; Tondeur, Sylvie; Mauté, Carole; Cayuela, Jean-Michel
2015-01-01
Over recent years, the development of molecular biology techniques has improved the hematological diseases diagnostic and follow-up. Consequently, these techniques are largely used in the biological screening of these diseases; therefore the Hemato-oncology molecular diagnostics laboratories must be actively involved in the accreditation process according the ISO 15189 standard. The French group of molecular biologists (GBMHM) provides requirements for the implementation of quality assurance for the medical molecular laboratories. This guideline states the recommendations for the pre-analytical, analytical (methods validation procedures, quality controls, reagents), and post-analytical conditions. In addition, herein we state a strategy for the internal quality control management. These recommendations will be regularly updated.
Vandekerckhove, Kristof; Seidl, Andreas; Gutka, Hiten; Kumar, Manish; Gratzl, Gyöngyi; Keire, David; Coffey, Todd; Kuehne, Henriette
2018-05-10
Leading regulatory agencies recommend biosimilar assessment to proceed in a stepwise fashion, starting with a detailed analytical comparison of the structural and functional properties of the proposed biosimilar and reference product. The degree of analytical similarity determines the degree of residual uncertainty that must be addressed through downstream in vivo studies. Substantive evidence of similarity from comprehensive analytical testing may justify a targeted clinical development plan, and thus enable a shorter path to licensing. The importance of a careful design of the analytical similarity study program therefore should not be underestimated. Designing a state-of-the-art analytical similarity study meeting current regulatory requirements in regions such as the USA and EU requires a methodical approach, consisting of specific steps that far precede the work on the actual analytical study protocol. This white paper discusses scientific and methodological considerations on the process of attribute and test method selection, criticality assessment, and subsequent assignment of analytical measures to US FDA's three tiers of analytical similarity assessment. Case examples of selection of critical quality attributes and analytical methods for similarity exercises are provided to illustrate the practical implementation of the principles discussed.
Long, H. Keith; Daddow, Richard L.; Farrar, Jerry W.
1998-01-01
Since 1962, the U.S. Geological Survey (USGS) has operated the Standard Reference Sample Project to evaluate the performance of USGS, cooperator, and contractor analytical laboratories that analyze chemical constituents of environmental samples. The laboratories are evaluated by using performance evaluation samples, called Standard Reference Samples (SRSs). SRSs are submitted to laboratories semi-annually for round-robin laboratory performance comparison purposes. Currently, approximately 100 laboratories are evaluated for their analytical performance on six SRSs for inorganic and nutrient constituents. As part of the SRS Project, a surplus of homogeneous, stable SRSs is maintained for purchase by USGS offices and participating laboratories for use in continuing quality-assurance and quality-control activities. Statistical evaluation of the laboratories results provides information to compare the analytical performance of the laboratories and to determine possible analytical deficiences and problems. SRS results also provide information on the bias and variability of different analytical methods used in the SRS analyses.
Maglaveras, Nicos; Kilintzis, Vassilis; Koutkias, Vassilis; Chouvarda, Ioanna
2016-01-01
Integrated care and connected health are two fast evolving concepts that have the potential to leverage personalised health. From the one side, the restructuring of care models and implementation of new systems and integrated care programs providing coaching and advanced intervention possibilities, enable medical decision support and personalized healthcare services. From the other side, the connected health ecosystem builds the means to follow and support citizens via personal health systems in their everyday activities and, thus, give rise to an unprecedented wealth of data. These approaches are leading to the deluge of complex data, as well as in new types of interactions with and among users of the healthcare ecosystem. The main challenges refer to the data layer, the information layer, and the output of information processing and analytics. In all the above mentioned layers, the primary concern is the quality both in data and information, thus, increasing the need for filtering mechanisms. Especially in the data layer, the big biodata management and analytics ecosystem is evolving, telemonitoring is a step forward for data quality leverage, with numerous challenges still left to address, partly due to the large number of micro-nano sensors and technologies available today, as well as the heterogeneity in the users' background and data sources. This leads to new R&D pathways as it concerns biomedical information processing and management, as well as to the design of new intelligent decision support systems (DSS) and interventions for patients. In this paper, we illustrate these issues through exemplar research targeting chronic patients, illustrating the current status and trends in PHS within the integrated care and connected care world.
Wagner, Kay Cimpl; Byrd, Gary D.
2004-01-01
Objective: This study was undertaken to determine if a systematic review of the evidence from thirty years of literature evaluating clinical medical librarian (CML) programs could help clarify the effectiveness of this outreach service model. Methods: A descriptive review of the CML literature describes the general characteristics of these services as they have been implemented, primarily in teaching-hospital settings. Comprehensive searches for CML studies using quantitative or qualitative evaluation methods were conducted in the medical, allied health, librarianship, and social sciences literature. Findings: Thirty-five studies published between 1974 and 2001 met the review criteria. Most (30) evaluated single, active programs and used descriptive research methods (e.g., use statistics or surveys/questionnaires). A weighted average of 89% of users in twelve studies found CML services useful and of high quality, and 65% of users in another overlapping, but not identical, twelve studies said these services contributed to improved patient care. Conclusions: The total amount of research evidence for CML program effectiveness is not great and most of it is descriptive rather than comparative or analytically qualitative. Standards are needed to consistently evaluate CML or informationist programs in the future. A carefully structured multiprogram study including three to five of the best current programs is needed to define the true value of these services. PMID:14762460
Hearing Health Care: perception of the users of a public service.
Jardim, Débora Soares; Maciel, Fernanda Jorge; Piastrelli, Marina Teixeira; Lemos, Stela Maris Aguiar
2017-03-30
Evaluate hearing health service under the users' perspective according to the aspects: access, care, communication, and professional competence, and its correlation with clinical, sociodemographic and assistance characteristics. This is an observational analytic cross-sectional study with a probability sample stratified by gender and age. The Hearing Health Care Assessment questionnaire and the Brazilian Economic Classification Criterion questionnaire were used. In total, 214 users were interviewed, which were assisted from May 2009 to May 2013. It was observed that most of the evaluated users are female, elderly, literate, presenting moderate degree of hearing impairment, who had access to transportation out-of-pocket, was submitted to ENT evaluation for diagnosis and sought the service to purchase a hearing aid, besides belonging to class C. Regarding user satisfaction, most were satisfied with access, hearing evaluation, personalized service, benefit for the family, communication and information, and professional competence. In the analysis of correlation between the scores, it was found that when users are satisfied with access, as well as with communication and information, the total score increases with moderate correlation coefficient. The users showed greater satisfaction with the professional competence domain and lower satisfaction with the benefit for the family. In addition, assessment proved that access and communication are considered important quality indicators for the hearing health service according to users.
7 CFR 91.23 - Analytical methods.
Code of Federal Regulations, 2014 CFR
2014-01-01
... 7 Agriculture 3 2014-01-01 2014-01-01 false Analytical methods. 91.23 Section 91.23 Agriculture... SERVICES AND GENERAL INFORMATION Method Manuals § 91.23 Analytical methods. Most analyses are performed according to approved procedures described in manuals of standardized methodology. These standard methods...
7 CFR 91.23 - Analytical methods.
Code of Federal Regulations, 2011 CFR
2011-01-01
... 7 Agriculture 3 2011-01-01 2011-01-01 false Analytical methods. 91.23 Section 91.23 Agriculture... SERVICES AND GENERAL INFORMATION Method Manuals § 91.23 Analytical methods. Most analyses are performed according to approved procedures described in manuals of standardized methodology. These standard methods...
7 CFR 91.23 - Analytical methods.
Code of Federal Regulations, 2013 CFR
2013-01-01
... 7 Agriculture 3 2013-01-01 2013-01-01 false Analytical methods. 91.23 Section 91.23 Agriculture... SERVICES AND GENERAL INFORMATION Method Manuals § 91.23 Analytical methods. Most analyses are performed according to approved procedures described in manuals of standardized methodology. These standard methods...
Quality effort decision in service supply chain with quality preference based on quantum game
NASA Astrophysics Data System (ADS)
Zhang, Cuihua; Xing, Peng; Wang, Jianwei
2015-04-01
Service quality preference behaviors of both members are considered in service supply chain (SSC) including a service integrator and a service provider with stochastic demand. Through analysis of service quality cost and revenue, the utility functions are established on service quality effort degree and service quality preference level in integrated and decentralized SSC. Nash equilibrium and quantum game are used to optimize the models. By comparing the different solutions, the optimal strategies are obtained in SSC with quality preference. Then some numerical examples are studied and the changing trend of service quality effort is further analyzed by the influence of the entanglement operator and quality preferences.
Lincoln, Tricia A.; Horan-Ross, Debra A.; McHale, Michael R.; Lawrence, Gregory B.
2009-01-01
The laboratory for analysis of low-ionic-strength water at the U.S. Geological Survey (USGS) Water Science Center in Troy, N.Y., analyzes samples collected by USGS projects throughout the Northeast. The laboratory's quality-assurance program is based on internal and interlaboratory quality-assurance samples and quality-control procedures that were developed to ensure proper sample collection, processing, and analysis. The quality-assurance and quality-control data were stored in the laboratory's Lab Master data-management system, which provides efficient review, compilation, and plotting of data. This report presents and discusses results of quality-assurance and quality control samples analyzed from July 2003 through June 2005. Results for the quality-control samples for 20 analytical procedures were evaluated for bias and precision. Control charts indicate that data for five of the analytical procedures were occasionally biased for either high-concentration or low-concentration samples but were within control limits; these procedures were: acid-neutralizing capacity, total monomeric aluminum, pH, silicon, and sodium. Seven of the analytical procedures were biased throughout the analysis period for the high-concentration sample, but were within control limits; these procedures were: dissolved organic carbon, chloride, nitrate (ion chromatograph), nitrite, silicon, sodium, and sulfate. The calcium and magnesium procedures were biased throughout the analysis period for the low-concentration sample, but were within control limits. The total aluminum and specific conductance procedures were biased for the high-concentration and low-concentration samples, but were within control limits. Results from the filter-blank and analytical-blank analyses indicate that the procedures for 17 of 18 analytes were within control limits, although the concentrations for blanks were occasionally outside the control limits. The data-quality objective was not met for dissolved organic carbon. Sampling and analysis precision are evaluated herein in terms of the coefficient of variation obtained for triplicate samples in the procedures for 18 of the 22 analytes. At least 85 percent of the samples met data-quality objectives for all analytes except total monomeric aluminum (82 percent of samples met objectives), total aluminum (77 percent of samples met objectives), chloride (80 percent of samples met objectives), fluoride (76 percent of samples met objectives), and nitrate (ion chromatograph) (79 percent of samples met objectives). The ammonium and total dissolved nitrogen did not meet the data-quality objectives. Results of the USGS interlaboratory Standard Reference Sample (SRS) Project indicated good data quality over the time period, with ratings for each sample in the satisfactory, good, and excellent ranges or less than 10 percent error. The P-sample (low-ionic-strength constituents) analysis had one marginal and two unsatisfactory ratings for the chloride procedure. The T-sample (trace constituents)analysis had two unsatisfactory ratings and one high range percent error for the aluminum procedure. The N-sample (nutrient constituents) analysis had one marginal rating for the nitrate procedure. Results of Environment Canada's National Water Research Institute (NWRI) program indicated that at least 84 percent of the samples met data-quality objectives for 11 of the 14 analytes; the exceptions were ammonium, total aluminum, and acid-neutralizing capacity. The ammonium procedure did not meet data quality objectives in all studies. Data-quality objectives were not met in 23 percent of samples analyzed for total aluminum and 45 percent of samples analyzed acid-neutralizing capacity. Results from blind reference-sample analyses indicated that data-quality objectives were met by at least 86 percent of the samples analyzed for calcium, chloride, fluoride, magnesium, pH, potassium, sodium, and sulfate. Data-quality objectives were not met by samples analyzed for fluoride.
Watts, R R; Langone, J J; Knight, G J; Lewtas, J
1990-01-01
A two-day technical workshop was convened November 10-11, 1986, to discuss analytical approaches for determining trace amounts of cotinine in human body fluids resulting from passive exposure to environmental tobacco smoke (ETS). The workshop, jointly sponsored by the U.S. Environmental Protection Agency and Centers for Disease Control, was attended by scientists with expertise in cotinine analytical methodology and/or conduct of human monitoring studies related to ETS. The workshop format included technical presentations, separate panel discussions on chromatography and immunoassay analytical approaches, and group discussions related to the quality assurance/quality control aspects of future monitoring programs. This report presents a consensus of opinion on general issues before the workshop panel participants and also a detailed comparison of several analytical approaches being used by the various represented laboratories. The salient features of the chromatography and immunoassay analytical methods are discussed separately. PMID:2190812
Users' information-seeking behavior on a medical library Website
Rozic-Hristovski, Anamarija; Hristovski, Dimitar; Todorovski, Ljupco
2002-01-01
The Central Medical Library (CMK) at the Faculty of Medicine, University of Ljubljana, Slovenia, started to build a library Website that included a guide to library services and resources in 1997. The evaluation of Website usage plays an important role in its maintenance and development. Analyzing and exploring regularities in the visitors' behavior can be used to enhance the quality and facilitate delivery of information services, identify visitors' interests, and improve the server's performance. The analysis of the CMK Website users' navigational behavior was carried out by analyzing the Web server log files. These files contained information on all user accesses to the Website and provided a great opportunity to learn more about the behavior of visitors to the Website. The majority of the available tools for Web log file analysis provide a predefined set of reports showing the access count and the transferred bytes grouped along several dimensions. In addition to the reports mentioned above, the authors wanted to be able to perform interactive exploration and ad hoc analysis and discover trends in a user-friendly way. Because of that, we developed our own solution for exploring and analyzing the Web logs based on data warehousing and online analytical processing technologies. The analytical solution we developed proved successful, so it may find further application in the field of Web log file analysis. We will apply the findings of the analysis to restructuring the CMK Website. PMID:11999179
Frenk, J; González-Block, M A
1992-03-01
The article first proposes a framework within which to assess the potential of health sector reforms in Latin America for primary health care (PHC). Two dimensions are recognized: the scope of the reforms, content, and the means of participation that are put into play. This framework is then complemented through a critique of the often-sought but little-analyzed PHC reform strategies of decentralization and health sector integration. The analytical framework is next directed to the financing of health services, a chief aspect of any reform aiming toward PHC. Two facets of health service finance are first distinguished: its formal aspect as a means for economic subsistence and growth, and its substantive aspect as a means to promote the rational use of services and thus improvement of health. Once finance is understood in this microeconomic perspective, the focus shifts to the analysis of health care reforms at the macro, health policy level. The article concludes by positing that PHC is in essence a new health care paradigm, oriented by the values of universality, redistribution, integration, plurality, quality, and efficiency.
E-Services quality assessment framework for collaborative networks
NASA Astrophysics Data System (ADS)
Stegaru, Georgiana; Danila, Cristian; Sacala, Ioan Stefan; Moisescu, Mihnea; Mihai Stanescu, Aurelian
2015-08-01
In a globalised networked economy, collaborative networks (CNs) are formed to take advantage of new business opportunities. Collaboration involves shared resources and capabilities, such as e-Services that can be dynamically composed to automate CN participants' business processes. Quality is essential for the success of business process automation. Current approaches mostly focus on quality of service (QoS)-based service selection and ranking algorithms, overlooking the process of service composition which requires interoperable, adaptable and secure e-Services to ensure seamless collaboration, data confidentiality and integrity. Lack of assessment of these quality attributes can result in e-Service composition failure. The quality of e-Service composition relies on the quality of each e-Service and on the quality of the composition process. Therefore, there is the need for a framework that addresses quality from both views: product and process. We propose a quality of e-Service composition (QoESC) framework for quality assessment of e-Service composition for CNs which comprises of a quality model for e-Service evaluation and guidelines for quality of e-Service composition process. We implemented a prototype considering a simplified telemedicine use case which involves a CN in e-Healthcare domain. To validate the proposed quality-driven framework, we analysed service composition reliability with and without using the proposed framework.
Nasajpour, Mohammad Reza; Ashrafi-Rizi, Hasan; Soleymani, Mohammad Reza; Shahrzadi, Leila; Hassanzadeh, Akbar
2014-01-01
Today, the websites of college and university libraries play an important role in providing the necessary services for clients. These websites not only allow the users to access different collections of library resources, but also provide them with the necessary guidance in order to use the information. The goal of this study is the quality evaluation of the college library websites in Iranian Medical Universities based on the Stover model. This study uses an analytical survey method and is an applied study. The data gathering tool is the standard checklist provided by Stover, which was modified by the researchers for this study. The statistical population is the college library websites of the Iranian Medical Universities (146 websites) and census method was used for investigation. The data gathering method was a direct access to each website and filling of the checklist was based on the researchers' observations. Descriptive and analytical statistics (Analysis of Variance (ANOVA)) were used for data analysis with the help of the SPSS software. The findings showed that in the dimension of the quality of contents, the highest average belonged to type one universities (46.2%) and the lowest average belonged to type three universities (24.8%). In the search and research capabilities, the highest average belonged to type one universities (48.2%) and the lowest average belonged to type three universities. In the dimension of facilities provided for the users, type one universities again had the highest average (37.2%), while type three universities had the lowest average (15%). In general the library websites of type one universities had the highest quality (44.2%), while type three universities had the lowest quality (21.1%). Also the library websites of the College of Rehabilitation and the College of Paramedics, of the Shiraz University of Medical Science, had the highest quality scores. The results showed that there was a meaningful difference between the quality of the college library websites and the university types, resulting in college libraries of type one universities having the highest average score and the college libraries of type three universities having the lowest score.
Nasajpour, Mohammad Reza; Ashrafi-rizi, Hasan; Soleymani, Mohammad Reza; Shahrzadi, Leila; Hassanzadeh, Akbar
2014-01-01
Introduction: Today, the websites of college and university libraries play an important role in providing the necessary services for clients. These websites not only allow the users to access different collections of library resources, but also provide them with the necessary guidance in order to use the information. The goal of this study is the quality evaluation of the college library websites in Iranian Medical Universities based on the Stover model. Material and Methods: This study uses an analytical survey method and is an applied study. The data gathering tool is the standard checklist provided by Stover, which was modified by the researchers for this study. The statistical population is the college library websites of the Iranian Medical Universities (146 websites) and census method was used for investigation. The data gathering method was a direct access to each website and filling of the checklist was based on the researchers’ observations. Descriptive and analytical statistics (Analysis of Variance (ANOVA)) were used for data analysis with the help of the SPSS software. Findings: The findings showed that in the dimension of the quality of contents, the highest average belonged to type one universities (46.2%) and the lowest average belonged to type three universities (24.8%). In the search and research capabilities, the highest average belonged to type one universities (48.2%) and the lowest average belonged to type three universities. In the dimension of facilities provided for the users, type one universities again had the highest average (37.2%), while type three universities had the lowest average (15%). In general the library websites of type one universities had the highest quality (44.2%), while type three universities had the lowest quality (21.1%). Also the library websites of the College of Rehabilitation and the College of Paramedics, of the Shiraz University of Medical Science, had the highest quality scores. Discussion: The results showed that there was a meaningful difference between the quality of the college library websites and the university types, resulting in college libraries of type one universities having the highest average score and the college libraries of type three universities having the lowest score. PMID:25540794
Verification of out-of-control situations detected by "average of normal" approach.
Liu, Jiakai; Tan, Chin Hon; Loh, Tze Ping; Badrick, Tony
2016-11-01
"Average of normal" (AoN) or "moving average" is increasingly used as an adjunct quality control tool in laboratory practice. Little guidance exists on how to verify if an out-of-control situation in the AoN chart is due to a shift in analytical performance, or underlying patient characteristics. Through simulation based on clinical data, we examined 1) the location of the last apparently stable period in the AoN control chart after an analytical shift, and 2) an approach to verify if the observed shift is related to an analytical shift by repeat testing of archived patient samples from the stable period for 21 common analytes. The number of blocks of results to look back for the stable period increased with the duration of the analytical shift, and was larger when smaller AoN block sizes were used. To verify an analytical shift, 3 archived samples from the analytically stable period should be retested. In particular, the process is deemed to have shifted if a difference of >2 analytical standard deviations (i.e. 1:2s rejection rule) between the original and retested results are observed in any of the 3 samples produced. The probability of Type-1 error (i.e., false rejection) and power (i.e., detecting true analytical shift) of this rule are <0.1 and >0.9, respectively. The use of appropriately archived patient samples to verify an apparent analytical shift is preferred to quality control materials. Nonetheless, the above findings may also apply to quality control materials, barring matrix effects. Copyright © 2016 The Canadian Society of Clinical Chemists. Published by Elsevier Inc. All rights reserved.
Yun Chen; Hui Yang
2014-01-01
The rapid advancements of biomedical instrumentation and healthcare technology have resulted in data-rich environments in hospitals. However, the meaningful information extracted from rich datasets is limited. There is a dire need to go beyond current medical practices, and develop data-driven methods and tools that will enable and help (i) the handling of big data, (ii) the extraction of data-driven knowledge, (iii) the exploitation of acquired knowledge for optimizing clinical decisions. This present study focuses on the prediction of mortality rates in Intensive Care Units (ICU) using patient-specific healthcare recordings. It is worth mentioning that postsurgical monitoring in ICU leads to massive datasets with unique properties, e.g., variable heterogeneity, patient heterogeneity, and time asyncronization. To cope with the challenges in ICU datasets, we developed the postsurgical decision support system with a series of analytical tools, including data categorization, data pre-processing, feature extraction, feature selection, and predictive modeling. Experimental results show that the proposed data-driven methodology outperforms traditional approaches and yields better results based on the evaluation of real-world ICU data from 4000 subjects in the database. This research shows great potentials for the use of data-driven analytics to improve the quality of healthcare services.
Hyltoft Petersen, Per; Lund, Flemming; Fraser, Callum G; Sandberg, Sverre; Sölétormos, György
2018-01-01
Background Many clinical decisions are based on comparison of patient results with reference intervals. Therefore, an estimation of the analytical performance specifications for the quality that would be required to allow sharing common reference intervals is needed. The International Federation of Clinical Chemistry (IFCC) recommended a minimum of 120 reference individuals to establish reference intervals. This number implies a certain level of quality, which could then be used for defining analytical performance specifications as the maximum combination of analytical bias and imprecision required for sharing common reference intervals, the aim of this investigation. Methods Two methods were investigated for defining the maximum combination of analytical bias and imprecision that would give the same quality of common reference intervals as the IFCC recommendation. Method 1 is based on a formula for the combination of analytical bias and imprecision and Method 2 is based on the Microsoft Excel formula NORMINV including the fractional probability of reference individuals outside each limit and the Gaussian variables of mean and standard deviation. The combinations of normalized bias and imprecision are illustrated for both methods. The formulae are identical for Gaussian and log-Gaussian distributions. Results Method 2 gives the correct results with a constant percentage of 4.4% for all combinations of bias and imprecision. Conclusion The Microsoft Excel formula NORMINV is useful for the estimation of analytical performance specifications for both Gaussian and log-Gaussian distributions of reference intervals.
Introduction to Validation of Analytical Methods: Potentiometric Determination of CO[subscript 2
ERIC Educational Resources Information Center
Hipólito-Nájera, A. Ricardo; Moya-Hernandez, M. Rosario; Gomez-Balderas, Rodolfo; Rojas-Hernandez, Alberto; Romero-Romo, Mario
2017-01-01
Validation of analytical methods is a fundamental subject for chemical analysts working in chemical industries. These methods are also relevant for pharmaceutical enterprises, biotechnology firms, analytical service laboratories, government departments, and regulatory agencies. Therefore, for undergraduate students enrolled in majors in the field…
Lincoln, Tricia A.; Horan-Ross, Debra A.; McHale, Michael R.; Lawrence, Gregory B.
2009-01-01
The laboratory for analysis of low-ionic-strength water at the U.S. Geological Survey (USGS) Water Science Center in Troy, N.Y., analyzes samples collected by USGS projects throughout the Northeast. The laboratory's quality-assurance program is based on internal and interlaboratory quality-assurance samples and quality-control procedures that were developed to ensure proper sample collection, processing, and analysis. The quality-assurance and quality-control data were stored in the laboratory's Lab Master data-management system, which provides efficient review, compilation, and plotting of data. This report presents and discusses results of quality-assurance and quality control samples analyzed from July 2005 through June 2007. Results for the quality-control samples for 19 analytical procedures were evaluated for bias and precision. Control charts indicate that data for eight of the analytical procedures were occasionally biased for either high-concentration or low-concentration samples but were within control limits; these procedures were: total aluminum, calcium, magnesium, nitrate (colorimetric method), potassium, silicon, sodium, and sulfate. Eight of the analytical procedures were biased throughout the analysis period for the high-concentration sample, but were within control limits; these procedures were: total aluminum, calcium, dissolved organic carbon, chloride, nitrate (ion chromatograph), potassium, silicon, and sulfate. The magnesium and pH procedures were biased throughout the analysis period for the low-concentration sample, but were within control limits. The acid-neutralizing capacity, total monomeric aluminum, nitrite, and specific conductance procedures were biased for the high-concentration and low-concentration samples, but were within control limits. Results from the filter-blank and analytical-blank analyses indicated that the procedures for 16 of 17 analytes were within control limits, although the concentrations for blanks were occasionally outside the control limits. The data-quality objective was not met for dissolved organic carbon. Sampling and analysis precision are evaluated herein in terms of the coefficient of variation obtained for triplicate samples in the procedures for 18 of the 21 analytes. At least 93 percent of the samples met data-quality objectives for all analytes except acid-neutralizing capacity (85 percent of samples met objectives), total monomeric aluminum (83 percent of samples met objectives), total aluminum (85 percent of samples met objectives), and chloride (85 percent of samples met objectives). The ammonium and total dissolved nitrogen did not meet the data-quality objectives. Results of the USGS interlaboratory Standard Reference Sample (SRS) Project met the Troy Laboratory data-quality objectives for 87 percent of the samples analyzed. The P-sample (low-ionic-strength constituents) analysis had two outliers each in two studies. The T-sample (trace constituents) analysis and the N-sample (nutrient constituents) analysis had one outlier each in two studies. Results of Environment Canada's National Water Research Institute (NWRI) program indicated that at least 85 percent of the samples met data-quality objectives for 11 of the 14 analytes; the exceptions were acid-neutralizing capacity, total aluminum and ammonium. Data-quality objectives were not met in 41 percent of samples analyzed for acid-neutralizing capacity, 50 percent of samples analyzed for total aluminum, and 44 percent of samples analyzed for ammonium. Results from blind reference-sample analyses indicated that data-quality objectives were met by at least 86 percent of the samples analyzed for calcium, magnesium, pH, potassium, and sodium. Data-quality objectives were met by 76 percent of the samples analyzed for chloride, 80 percent of the samples analyzed for specific conductance, and 77 percent of the samples analyzed for sulfate.
Factor selection for service quality evaluation: a hospital case study.
Ameryoun, Ahmad; Najafi, Seyedvahid; Nejati-Zarnaqi, Bayram; Khalilifar, Seyed Omid; Ajam, Mahdi; Ansarimoghadam, Ahmad
2017-02-13
Purpose The purpose of this paper is to develop a systematic approach to predict service quality dimension's influence on service quality using a novel analysis based on data envelopment and SERVQUAL. Design/methodology/approach To assess hospital service quality in Tehran, expectation and perception of those who received the services were evaluated using SERVQUAL. The hospital service quality dimensions were found by exploratory factor analysis (EFA). To compare customer expectation and perception, perceived service quality index (PSQI) was measured using a new method based on common weights. A novel sensitivity approach was used to test the service quality factor's impact on the PSQI. Findings A new service quality dimension named "trust in services" was found using EFA, which is not an original SERVQUAL factor. The approach was applied to assess the hospital's service quality. Since the PSQI value was 0.76 it showed that improvements are needed to meet customer expectations. The results showed the factor order that affect PSQI. "Trust in services" has the strongest influence on PSQI followed by "tangibles," "assurance," "empathy," and "responsiveness," respectively. Practical implications This work gives managers insight into service quality by following a systematic method; i.e., measuring perceived service quality from the customer viewpoint and service factors' impact on customer perception. Originality/value The procedure helps managers to select the required service quality dimensions which need improvement and predict their effects on customer perception.
ERIC Educational Resources Information Center
Solloway, Michele R., Ed.; Budetti, Peter P., Ed.
This report presents findings of a George Washington University Center for Health Policy Research (CHPR) multi-year project to conduct analytical studies on the financing, delivery, and cost effectiveness of child health supervision services. Against a backdrop of decline in private sector coverage for children, a growing number of children living…
Flatland, Bente; Freeman, Kathy P; Friedrichs, Kristen R; Vap, Linda M; Getzy, Karen M; Evans, Ellen W; Harr, Kendal E
2010-09-01
Owing to lack of governmental regulation of veterinary laboratory performance, veterinarians ideally should demonstrate a commitment to self-monitoring and regulation of laboratory performance from within the profession. In response to member concerns about quality management in veterinary laboratories, the American Society for Veterinary Clinical Pathology (ASVCP) formed a Quality Assurance and Laboratory Standards (QAS) committee in 1996. This committee recently published updated and peer-reviewed Quality Assurance Guidelines on the ASVCP website. The Quality Assurance Guidelines are intended for use by veterinary diagnostic laboratories and veterinary research laboratories that are not covered by the US Food and Drug Administration Good Laboratory Practice standards (Code of Federal Regulations Title 21, Chapter 58). The guidelines have been divided into 3 reports on 1) general analytic factors for veterinary laboratory performance and comparisons, 2) hematology and hemostasis, and 3) clinical chemistry, endocrine assessment, and urinalysis. This report documents recommendations for control of general analytical factors within veterinary clinical laboratories and is based on section 2.1 (Analytical Factors Important In Veterinary Clinical Pathology, General) of the newly revised ASVCP QAS Guidelines. These guidelines are not intended to be all-inclusive; rather, they provide minimum guidelines for quality assurance and quality control for veterinary laboratory testing. It is hoped that these guidelines will provide a basis for laboratories to assess their current practices, determine areas for improvement, and guide continuing professional development and education efforts. ©2010 American Society for Veterinary Clinical Pathology.
Jenaro, C; Vega, V; Flores, N; Cruz, M
2013-06-01
Concepts such as support, quality of life and quality of services are customary in services for people with intellectual disabilities. The identification of the different ways of conceiving, prioritising and implementing these concepts by service providers can help to drive changes to achieve better personal outcomes for this population. The current study aims to identify service providers' perceptions regarding the quality of life of their clients and the quality of services they provide. It also aims to identify similarities and differences of appraisals among professionals, and to identify associations between supports, quality of life and quality of services. Data were collected from 22 service providers who attended three focus groups (professionals, direct support staff, and managers) from whom 424 comments were analysed. Service providers were asked about the required support for users, the meaning of quality of life for those users, and about features that should characterise quality services. Thematic analysis was employed and transcripts of the sessions were coded according to the dimensions of models on supports, quality of life and quality of services. Chi-squared tests were utilised to test for potential differences among groups. Each professional group has its own priorities concerning required supports. Among the organisation different and potentially conflicting perceptions regarding the meaning of experiencing quality of life coexist. Concerning quality of services, only managers mentioned personal outcomes. Finally, institutionalisation has a negative impact on supports, quality of life and quality of services. It is necessary to move beyond a shared awareness of the negative impact of institutionalisation towards the transformation of services in search of personal quality outcomes. © 2012 The Authors. Journal of Intellectual Disability Research © 2012 John Wiley & Sons Ltd, MENCAP & IASSID.
Ehrhart, Karen Holcombe; Witt, L A; Schneider, Benjamin; Perry, Sara Jansen
2011-03-01
We lend theoretical insight to the service climate literature by exploring the joint effects of branch service climate and the internal service provided to the branch (the service received from corporate units to support external service delivery) on customer-rated service quality. We hypothesized that service climate is related to service quality most strongly when the internal service quality received is high, providing front-line employees with the capability to deliver what the service climate motivates them to do. We studied 619 employees and 1,973 customers in 36 retail branches of a bank. We aggregated employee perceptions of the internal service quality received from corporate units and the local service climate and external customer perceptions of service quality to the branch level of analysis. Findings were consistent with the hypothesis that high-quality internal service is necessary for branch service climate to yield superior external customer service quality. PsycINFO Database Record (c) 2011 APA, all rights reserved.
EDXRF as an alternative method for multielement analysis of tropical soils and sediments.
Fernández, Zahily Herrero; Dos Santos Júnior, José Araújo; Dos Santos Amaral, Romilton; Alvarez, Juan Reinaldo Estevez; da Silva, Edvane Borges; De França, Elvis Joacir; Menezes, Rômulo Simões Cezar; de Farias, Emerson Emiliano Gualberto; do Nascimento Santos, Josineide Marques
2017-08-10
The quality assessment of tropical soils and sediments is still under discussion, with efforts being made on the part of governmental agencies to establish reference values. Energy dispersive X-ray fluorescence (EDXRF) is a potential analytical technique for quantifying diverse chemical elements in geological material without chemical treatment, primarily when it is performed at an appropriate metrological level. In this work, analytical curves were obtained by means of the analysis of geological reference materials (RMs), which allowed for the researchers to draw a comparison among the sources of analytical uncertainty. After having determined the quality assurance of the analytical procedure, the EDXRF method was applied to determine chemical elements in soils from the state of Pernambuco, Brazil. The regression coefficients of the analytical curves used to determine Al, Ca, Fe, K, Mg, Mn, Ni, Pb, Si, Sr, Ti, and Zn were higher than 0.99. The quality of the analytical procedure was demonstrated at a 95% confidence level, in which the estimated analytical uncertainties agreed with those from the RM's certificates of analysis. The analysis of diverse geological samples from Pernambuco indicated higher concentrations of Ni and Zn in sugarcane, with maximum values of 41 mg kg - 1 and 118 mg kg - 1 , respectively, and agricultural areas (41 mg kg - 1 and 127 mg kg - 1 , respectively). The trace element Sr was mainly enriched in urban soils with values of 400 mg kg - 1 . According to the results, the EDXRF method was successfully implemented, providing some chemical tracers for the quality assessment of tropical soils and sediments.
DOE Office of Scientific and Technical Information (OSTI.GOV)
Not Available
The purpose of this report is to summarize the activities of the Analytical Chemistry Laboratory (ACL) at Argonne National Laboratory (ANL) for Fiscal Year (FY) 1993 (October 1992 through September 1993). This annual report is the tenth for the ACL and describes continuing effort on projects, work on new projects, and contributions of the ACL staff to various programs at ANL. The Analytical Chemistry Laboratory is a full-cost-recovery service center, with the primary mission of providing a broad range of analytical chemistry support services to the scientific and engineering programs at ANL. The ACL also has research programs in analyticalmore » chemistry, conducts instrumental and methods development, and provides analytical services for governmental, educational, and industrial organizations. The ACL handles a wide range of analytical problems. Some routine or standard analyses are done, but it is common for the Argonne programs to generate unique problems that require development or modification of methods and adaption of techniques to obtain useful analytical data. The ACL is administratively within the Chemical Technology Division (CMT), its principal ANL client, but provides technical support for many of the technical divisions and programs at ANL. The ACL has four technical groups--Chemical Analysis, Instrumental Analysis, Organic Analysis, and Environmental Analysis--which together include about 45 technical staff members. Talents and interests of staff members cross the group lines, as do many projects within the ACL.« less
Hastings, Ros; de Wert, Guido; Fowler, Brian; Krawczak, Michael; Vermeulen, Eric; Bakker, Egbert; Borry, Pascal; Dondorp, Wybo; Nijsingh, Niels; Barton, David; Schmidtke, Jörg; van El, Carla G; Vermeesch, Joris; Stol, Yrrah; Carmen Howard, Heidi; Cornel, Martina C
2012-09-01
The arrival of new genetic technologies that allow efficient examination of the whole human genome (microarray, next-generation sequencing) will impact upon both laboratories (cytogenetic and molecular genetics in the first instance) and clinical/medical genetic services. The interpretation of analytical results in terms of their clinical relevance and the predicted health status poses a challenge to both laboratory and clinical geneticists, due to the wealth and complexity of the information obtained. There is a need to discuss how to best restructure the genetic services logistically and to determine the clinical utility of genetic testing so that patients can receive appropriate advice and genetic testing. To weigh up the questions and challenges of the new genetic technologies, the European Society of Human Genetics (ESHG) held a series of workshops on 10 June 2010 in Gothenburg. This was part of an ESHG satellite symposium on the 'Changing landscape of genetic testing', co-organized by the ESHG Genetic Services Quality and Public and Professional Policy Committees. The audience consisted of a mix of geneticists, ethicists, social scientists and lawyers. In this paper, we summarize the discussions during the workshops and present some of the identified ways forward to improve and adapt the genetic services so that patients receive accurate and relevant information. This paper covers ethics, clinical utility, primary care, genetic services and the blurring boundaries between healthcare and research.
Zheng, Caixian; Zheng, Kun; Shen, Yunming; Wu, Yunyun
2016-01-01
The content related to the quality during life-cycle in operation of medical device includes daily use, repair volume, preventive maintenance, quality control and adverse event monitoring. In view of this, the article aims at discussion on the quality evaluation method of medical devices during their life cycle in operation based on the Analytic Hierarchy Process (AHP). The presented method is proved to be effective by evaluating patient monitors as example. The method presented in can promote and guide the device quality control work, and it can provide valuable inputs to decisions about purchase of new device.
Lincoln, Tricia A.; Horan-Ross, Debra A.; McHale, Michael R.; Lawrence, Gregory B.
2006-01-01
The laboratory for analysis of low-ionic-strength water at the U.S. Geological Survey (USGS) Water Science Center in Troy, N.Y., analyzes samples collected by USGS projects throughout the Northeast. The laboratory's quality-assurance program is based on internal and interlaboratory quality-assurance samples and quality-control procedures that were developed to ensure proper sample collection, processing, and analysis. The quality-assurance and quality-control data were stored in the laboratory's LabMaster data-management system, which provides efficient review, compilation, and plotting of data. This report presents and discusses results of quality-assurance and quality-control samples analyzed from July 1999 through June 2001. Results for the quality-control samples for 18 analytical procedures were evaluated for bias and precision. Control charts indicate that data for eight of the analytical procedures were occasionally biased for either high-concentration or low-concentration samples but were within control limits; these procedures were: acid-neutralizing capacity, total monomeric aluminum, total aluminum, calcium, chloride and nitrate (ion chromatography and colormetric method) and sulfate. The total aluminum and dissolved organic carbon procedures were biased throughout the analysis period for the high-concentration sample, but were within control limits. The calcium and specific conductance procedures were biased throughout the analysis period for the low-concentration sample, but were within control limits. The magnesium procedure was biased for the high-concentration and low concentration samples, but was within control limits. Results from the filter-blank and analytical-blank analyses indicate that the procedures for 14 of 15 analytes were within control limits, although the concentrations for blanks were occasionally outside the control limits. The data-quality objective was not met for dissolved organic carbon. Sampling and analysis precision are evaluated herein in terms of the coefficient of variation obtained for triplicate samples in the procedures for 17 of the 18 analytes. At least 90 percent of the samples met data-quality objectives for all analytes except ammonium (81 percent of samples met objectives), chloride (75 percent of samples met objectives), and sodium (86 percent of samples met objectives). Results of the USGS interlaboratory Standard Reference Sample (SRS) Project indicated good data quality over the time period, with most ratings for each sample in the good to excellent range. The P-sample (low-ionic-strength constituents) analysis had one satisfactory rating for the specific conductance procedure in one study. The T-sample (trace constituents) analysis had one satisfactory rating for the aluminum procedure in one study and one unsatisfactory rating for the sodium procedure in another. The remainder of the samples had good or excellent ratings for each study. Results of Environment Canada's National Water Research Institute (NWRI) program indicated that at least 89 percent of the samples met data-quality objectives for 10 of the 14 analytes; the exceptions were ammonium, total aluminum, dissolved organic carbon, and sodium. Results indicate a positive bias for the ammonium procedure in all studies. Data-quality objectives were not met in 50 percent of samples analyzed for total aluminum, 38 percent of samples analyzed for dissolved organic carbon, and 27 percent of samples analyzed for sodium. Results from blind reference-sample analyses indicated that data-quality objectives were met by at least 91 percent of the samples analyzed for calcium, chloride, fluoride, magnesium, pH, potassium, and sulfate. Data-quality objectives were met by 75 percent of the samples analyzed for sodium and 58 percent of the samples analyzed for specific conductance.
Ultrasonics Equipped Crimp Tool: A New Technology for Aircraft Wiring Safety
NASA Technical Reports Server (NTRS)
Yost, William T.; Perey, Daniel F.; Cramer, Elliott
2006-01-01
We report on the development of a new measurement technique to quantitatively assess the condition of wire crimp connections. This ultrasonic (UT) method transmits high frequency sound waves through the joint under inspection. The wire-crimp region filters and scatters the ultrasonic energy as it passes through the crimp and wire. The resulting output (both time and frequency domains) provides a quantitative measure of the joint quality that is independent and unaffected by current. Crimps of poor mechanical and electrical quality will result in low temporal output and will distort the spectrum into unique and predictable patterns, depending on crimp "quality". This inexpensive, real-time measurement system can provide certification of crimps as they are made and recertification of existing wire crimps currently in service. The measurements for re-certification do not require that the wire be disconnected from its circuit. No other technology exists to measure in-situ the condition of wire joints (no electrical currents through the crimp are used in this analytical technique). We discuss the signals obtained from this instrument, and correlate these signals with destructive wire pull tests.
Piaton, E; Fabre, M; Goubin-Versini, I; Bretz-Grenier, M-F; Courtade-Saïdi, M; Vincent, S; Belleannée, G; Thivolet, F; Boutonnat, J; Debaque, H; Fleury-Feith, J; Vielh, P; Egelé, C; Bellocq, J-P; Michiels, J-F; Cochand-Priollet, B
2016-10-01
Since the guidelines of the International Committee for Standardisation in Haematology (ICSH) in 1984 and those of the European Committee for External Quality Assessment Programmes in Laboratory Medicine (EQALM) in 2004, no leading organisation has published technical recommendations for the preparation of air-dried cytological specimens using May-Grünwald-Giemsa (MGG) staining. Literature data were retrieved using reference books, baseline-published studies, articles extracted from PubMed/Medline and Google Scholar, and online-available industry datasheets. The present review addresses all pre-analytical issues concerning the use of Romanowsky's stains (including MGG) in haematology and non-gynaecological cytopathology. It aims at serving as actualised, best practice recommendations for the proper handling of air-dried cytological specimens. It, therefore, appears complementary to the staining criteria of the non-gynaecological diagnostic cytology handbook edited by the United Kingdom National External Quality Assessment Service (UK-NEQAS) in February 2015. © 2016 John Wiley & Sons Ltd.
Looking Through the Patients’ Eyes
Bond, Trevor G; Cappiello, Giuseppe; Fantini, Maria Pia
2017-01-01
Objective: Patient satisfaction is a personal evaluation of health-care services that is often used as an indicator of quality of care. The aim of this study was to identify aspects of hospital care that affect patient satisfaction by examining the structural and convergent validity of an in-house questionnaire. Methods: The sample consisted of 3320 patients discharged from an Italian public hospital. The questionnaire included items exploring communication with nurses and physicians, pain management, quality of accommodation, and discharge information. Data were analyzed using the Rasch model. Results: From the patients’ perspective, the number of response options was excessive and the questionnaire proved to have both medical and accommodation dimensions. Patients, on average, gave higher satisfaction scores to the medical dimension over the accommodation dimension. Higher satisfaction was associated with kindness and courtesy of the nursing staff, doctors’ courtesy, and the quality of bed linen. Conclusion: The results support the administration of the questionnaire but suggest change in the hospital’s analytical procedures in order to match the drivers of satisfaction as seen by the patients. PMID:28959717
Home telemonitoring of vital signs--technical challenges and future directions.
Celler, Branko G; Sparks, Ross S
2015-01-01
The telemonitoring of vital signs from the home is an essential element of telehealth services for the management of patients with chronic conditions, such as congestive heart failure (CHF), chronic obstructive pulmonary disease (COPD), diabetes, or poorly controlled hypertension. Telehealth is now being deployed widely in both rural and urban settings, and in this paper, we discuss the contribution made by biomedical instrumentation, user interfaces, and automated risk stratification algorithms in developing a clinical diagnostic quality longitudinal health record at home. We identify technical challenges in the acquisition of high-quality biometric signals from unsupervised patients at home, identify new technical solutions and user interfaces, and propose new measurement modalities and signal processing techniques for increasing the quality and value of vital signs monitoring at home. We also discuss use of vital signs data for the automated risk stratification of patients, so that clinical resources can be targeted to those most at risk of unscheduled admission to hospital. New research is also proposed to integrate primary care, hospital, personal genomic, and telehealth electronic health records, and apply predictive analytics and data mining for enhancing clinical decision support.
Satisfying regulatory and accreditation requirements for quality control.
Ehrmeyer, Sharon S
2013-03-01
The Clinical Laboratory Improvement Amendments of 1988 (CLIA) requires all US clinical laboratories that test "materials derived from the human body for the purpose of providing information for the diagnosis, prevention, or treatment of any disease..." to be regulated. The CLIA mandates are site neutral; based on test complexity; and focus on the three phases of the testing process (preanalytical, analytical, and postanalytical). Many testing sites choose to meet the CLIA requirements by following the testing standards of a professional accreditation organization deemed by the Centers for Medicare and Medicaid Services. The three principal organizations are The Joint Commission, the College of American Pathologists, and COLA. Copyright © 2013 Elsevier Inc. All rights reserved.
Contextual and Analytic Qualities of Research Methods Exemplified in Research on Teaching
ERIC Educational Resources Information Center
Svensson, Lennart; Doumas, Kyriaki
2013-01-01
The aim of the present article is to discuss contextual and analytic qualities of research methods. The arguments are specified in relation to research on teaching. A specific investigation is used as an example to illustrate the general methodological approach. It is argued that research methods should be carefully grounded in an understanding of…
Piot, Bram; Navin, Deepa; Krishnan, Nattu; Bhardwaj, Ashish; Sharma, Vivek; Marjara, Pritpal
2010-01-01
Objectives This study reports on the results of a large-scale targeted condom social marketing campaign in and around areas where female sex workers are present. The paper also describes the method that was used for the routine monitoring of condom availability in these sites. Methods The lot quality assurance sampling (LQAS) method was used for the assessment of the geographical coverage and quality of coverage of condoms in target areas in four states and along selected national highways in India, as part of Avahan, the India AIDS initiative. Results A significant general increase in condom availability was observed in the intervention area between 2005 and 2008. High coverage rates were gradually achieved through an extensive network of pharmacies and particularly of non-traditional outlets, whereas traditional outlets were instrumental in providing large volumes of condoms. Conclusion LQAS is seen as a valuable tool for the routine monitoring of the geographical coverage and of the quality of delivery systems of condoms and of health products and services in general. With a relatively small sample size, easy data collection procedures and simple analytical methods, it was possible to inform decision-makers regularly on progress towards coverage targets. PMID:20167732
Wilkison, Donald H.; Armstrong, Daniel J.; Brown, Rebecca E.; Poulton, Barry C.; Cahill, Jeffrey D.; Zaugg, Steven D.
2005-01-01
This report presents water-quality and biologic data collected in the Blue River Basin, metropolitan Kansas City, Missouri and Kansas, from October 2000 to October 2004. Data were collected in cooperation with the city of Kansas City, Missouri, Water Services Department as part of an ongoing study designed to characterize long-term water-quality trends in the basin and to provide data to support a strategy for combined sewer overflow control. These data include values of physical properties, fecal indicator bacteria densities, suspended sediment, and concentrations of major ions, nutrients, trace elements, organic wastewater compounds, and pharmaceutical compounds in base-flow and stormflow stream samples and bottom sediments. Six surface-water sites in the basin were sampled 13 times during base-flow conditions and during a minimum of 7 storms. Benthic macroinvertebrate communities are described at 10 sites in the basin and 1 site outside the basin. Water-column and bottom-sediment data from impounded reaches of Brush Creek are provided. Continuous specific conductance, pH, water-quality temperature, turbidity, and dissolved oxygen data are provided for two streams-the Blue River and Brush Creek. Sampling, analytical, and quality assurance methods used in data collection during the study also are described in the report.
Topić, E; Turek, S
2000-01-01
The basic criterion for the overall quality system in medical biochemistry laboratories concerning equipment, premises and laboratory staff in primary health care (PHC) (Regulations on quality systems and good laboratory practice of the Croatian Medical Biochemists Chamber, 1995, Regulations on categorization of medical biochemistry laboratories of the Croatian Medical Biochemists Chamber, 1996, EC4: Essential criteria for quality systems in medical laboratories. Eur J Clin Chem Clin Biochem 1997 in medical biochemical laboratories included in the First Croatia health project, Primary health care subproject, has been met by the marketing approach to the project. The equipment ensuring implementation of the complete laboratory program (NN/96), more accurate and precise analytical procedures, and higher reliability of laboratory test results compared with previous equipment, has been purchased by an international tender. Uniform technology and methods of analysis have ensured high standards of good laboratory services, yielding test results than can be transferred from primary to secondary health care level. The new equipment has improved organization between central and detached medical biochemistry laboratory units, while the high quality requirement has led to improvement in the staff structure, e.g., medical biochemists have been employed in laboratories that had previously worked without such a professional. Equipment renewal has been accompanied by proper education for all levels of PHC professionals.
Piot, Bram; Mukherjee, Amajit; Navin, Deepa; Krishnan, Nattu; Bhardwaj, Ashish; Sharma, Vivek; Marjara, Pritpal
2010-02-01
This study reports on the results of a large-scale targeted condom social marketing campaign in and around areas where female sex workers are present. The paper also describes the method that was used for the routine monitoring of condom availability in these sites. The lot quality assurance sampling (LQAS) method was used for the assessment of the geographical coverage and quality of coverage of condoms in target areas in four states and along selected national highways in India, as part of Avahan, the India AIDS initiative. A significant general increase in condom availability was observed in the intervention area between 2005 and 2008. High coverage rates were gradually achieved through an extensive network of pharmacies and particularly of non-traditional outlets, whereas traditional outlets were instrumental in providing large volumes of condoms. LQAS is seen as a valuable tool for the routine monitoring of the geographical coverage and of the quality of delivery systems of condoms and of health products and services in general. With a relatively small sample size, easy data collection procedures and simple analytical methods, it was possible to inform decision-makers regularly on progress towards coverage targets.
Analytical Chemistry in Russia.
Zolotov, Yuri
2016-09-06
Research in Russian analytical chemistry (AC) is carried out on a significant scale, and the analytical service solves practical tasks of geological survey, environmental protection, medicine, industry, agriculture, etc. The education system trains highly skilled professionals in AC. The development and especially manufacturing of analytical instruments should be improved; in spite of this, there are several good domestic instruments and other satisfy some requirements. Russian AC has rather good historical roots.
Accurate mass measurements and their appropriate use for reliable analyte identification.
Godfrey, A Ruth; Brenton, A Gareth
2012-09-01
Accurate mass instrumentation is becoming increasingly available to non-expert users. This data can be mis-used, particularly for analyte identification. Current best practice in assigning potential elemental formula for reliable analyte identification has been described with modern informatic approaches to analyte elucidation, including chemometric characterisation, data processing and searching using facilities such as the Chemical Abstracts Service (CAS) Registry and Chemspider.
DOE Office of Scientific and Technical Information (OSTI.GOV)
Green, D.W.; Heinrich, R.R.; Jensen, K.J.
Technical and administrative activities of the Analytical Chemistry Laboratory (ACL) are reported for fiscal year 1984. The ACL is a full-cost-recovery service center, with the primary mission of providing a broad range of technical support services to the scientific and engineering programs at ANL. In addition, ACL conducts a research program in analytical chemistry, works on instrumental and methods development, and provides analytical services for governmental, educational, and industrial organizations. The ACL is administratively within the Chemical Technology Division, the principal user, but provides technical support for all of the technical divisions and programs at ANL. The ACL has threemore » technical groups - Chemical Analysis, Instrumental Analysis, and Organic Analysis. Under technical activities 26 projects are briefly described. Under professional activities, a list is presented for publications and reports, oral presentations, awards and meetings attended. 6 figs., 2 tabs.« less
2017-01-01
Background Laboratory testing is roughly divided into three phases: a pre-analytical phase, an analytical phase and a post-analytical phase. Most analytical errors have been attributed to the analytical phase. However, recent studies have shown that up to 70% of analytical errors reflect the pre-analytical phase. The pre-analytical phase comprises all processes from the time a laboratory request is made by a physician until the specimen is analyzed at the lab. Generally, the pre-analytical phase includes patient preparation, specimen transportation, specimen collection and storage. In the present study, we report the first comprehensive assessment of the frequency and types of pre-analytical errors at the Sulaimani diagnostic labs in Iraqi Kurdistan. Materials and Methods Over 2 months, 5500 venous blood samples were observed in 10 public diagnostic labs of Sulaimani City. The percentages of rejected samples and types of sample inappropriateness were evaluated. The percentage of each of the following pre-analytical errors were recorded: delay in sample transportation, clotted samples, expired reagents, hemolyzed samples, samples not on ice, incorrect sample identification, insufficient sample, tube broken in centrifuge, request procedure errors, sample mix-ups, communication conflicts, misinterpreted orders, lipemic samples, contaminated samples and missed physician’s request orders. The difference between the relative frequencies of errors observed in the hospitals considered was tested using a proportional Z test. In particular, the survey aimed to discover whether analytical errors were recorded and examine the types of platforms used in the selected diagnostic labs. Results The analysis showed a high prevalence of improper sample handling during the pre-analytical phase. In appropriate samples, the percentage error was as high as 39%. The major reasons for rejection were hemolyzed samples (9%), incorrect sample identification (8%) and clotted samples (6%). Most quality control schemes at Sulaimani hospitals focus only on the analytical phase, and none of the pre-analytical errors were recorded. Interestingly, none of the labs were internationally accredited; therefore, corrective actions are needed at these hospitals to ensure better health outcomes. Internal and External Quality Assessment Schemes (EQAS) for the pre-analytical phase at Sulaimani clinical laboratories should be implemented at public hospitals. Furthermore, lab personnel, particularly phlebotomists, need continuous training on the importance of sample quality to obtain accurate test results. PMID:28107395
Najat, Dereen
2017-01-01
Laboratory testing is roughly divided into three phases: a pre-analytical phase, an analytical phase and a post-analytical phase. Most analytical errors have been attributed to the analytical phase. However, recent studies have shown that up to 70% of analytical errors reflect the pre-analytical phase. The pre-analytical phase comprises all processes from the time a laboratory request is made by a physician until the specimen is analyzed at the lab. Generally, the pre-analytical phase includes patient preparation, specimen transportation, specimen collection and storage. In the present study, we report the first comprehensive assessment of the frequency and types of pre-analytical errors at the Sulaimani diagnostic labs in Iraqi Kurdistan. Over 2 months, 5500 venous blood samples were observed in 10 public diagnostic labs of Sulaimani City. The percentages of rejected samples and types of sample inappropriateness were evaluated. The percentage of each of the following pre-analytical errors were recorded: delay in sample transportation, clotted samples, expired reagents, hemolyzed samples, samples not on ice, incorrect sample identification, insufficient sample, tube broken in centrifuge, request procedure errors, sample mix-ups, communication conflicts, misinterpreted orders, lipemic samples, contaminated samples and missed physician's request orders. The difference between the relative frequencies of errors observed in the hospitals considered was tested using a proportional Z test. In particular, the survey aimed to discover whether analytical errors were recorded and examine the types of platforms used in the selected diagnostic labs. The analysis showed a high prevalence of improper sample handling during the pre-analytical phase. In appropriate samples, the percentage error was as high as 39%. The major reasons for rejection were hemolyzed samples (9%), incorrect sample identification (8%) and clotted samples (6%). Most quality control schemes at Sulaimani hospitals focus only on the analytical phase, and none of the pre-analytical errors were recorded. Interestingly, none of the labs were internationally accredited; therefore, corrective actions are needed at these hospitals to ensure better health outcomes. Internal and External Quality Assessment Schemes (EQAS) for the pre-analytical phase at Sulaimani clinical laboratories should be implemented at public hospitals. Furthermore, lab personnel, particularly phlebotomists, need continuous training on the importance of sample quality to obtain accurate test results.
Distributed Generation Interconnection Collaborative | NREL
, reduce paperwork, and improve customer service. Analytical Methods for Interconnection Many utilities and jurisdictions are seeking the right screening and analytical methods and tools to meet their reliability
Sarkozi, Laszlo; Simson, Elkin; Ramanathan, Lakshmi
2003-03-01
Thirty-six years of data and history of laboratory practice at our institution has enabled us to follow the effects of analytical automation, then recently pre-analytical and post-analytical automation on productivity, cost reduction and enhanced quality of service. In 1998, we began the operation of a pre- and post-analytical automation system (robotics), together with an advanced laboratory information system to process specimens prior to analysis, deliver them to various automated analytical instruments, specimen outlet racks and finally to refrigerated stockyards. By the end of 3 years of continuous operation, we compared the chemistry part of the system with the prior 33 years and quantitated the financial impact of the various stages of automation. Between 1965 and 2000, the Consumer Price Index increased by a factor of 5.5 in the United States. During the same 36 years, at our institution's Chemistry Department the productivity (indicated as the number of reported test results/employee/year) increased from 10,600 to 104,558 (9.3-fold). When expressed in constant 1965 dollars, the total cost per test decreased from 0.79 dollars to 0.15 dollars. Turnaround time for availability of results on patient units decreased to the extent that Stat specimens requiring a turnaround time of <1 h do not need to be separately prepared or prioritized on the system. Our experience shows that the introduction of a robotics system for perianalytical automation has brought a large improvement in productivity together with decreased operational cost. It enabled us to significantly increase our workload together with a reduction of personnel. In addition, stats are handled easily and there are benefits such as safer working conditions and improved sample identification, which are difficult to quantify at this stage.
7 CFR 91.15 - Basis of a laboratory service.
Code of Federal Regulations, 2010 CFR
2010-01-01
... 7 Agriculture 3 2010-01-01 2010-01-01 false Basis of a laboratory service. 91.15 Section 91.15..., Inspections, Marketing Practices), DEPARTMENT OF AGRICULTURE (CONTINUED) COMMODITY LABORATORY TESTING PROGRAMS SERVICES AND GENERAL INFORMATION Laboratory Service § 91.15 Basis of a laboratory service. Analytical...
7 CFR 91.15 - Basis of a laboratory service.
Code of Federal Regulations, 2011 CFR
2011-01-01
..., Inspections, Marketing Practices), DEPARTMENT OF AGRICULTURE (CONTINUED) COMMODITY LABORATORY TESTING PROGRAMS SERVICES AND GENERAL INFORMATION Laboratory Service § 91.15 Basis of a laboratory service. Analytical... 7 Agriculture 3 2011-01-01 2011-01-01 false Basis of a laboratory service. 91.15 Section 91.15...
Proposed DoD (Department of Defense) Internet Protocol Standard.
1982-07-06
parameters fall into two categories: service quality parameters and service options. Service quality parameters influence the transmission service provided...Corporation 6 July 1982 -7- TM-7172/481/OO o Service Quality Parameters - Precedence : attempts preferential treatment for high importance datagrams...select the transmission quality. IP passes the type of service (TOS) command set for service quality to the SNP where it is mapped into subnetwork
Batt, Angela L; Furlong, Edward T; Mash, Heath E; Glassmeyer, Susan T; Kolpin, Dana W
2017-02-01
A national-scale survey of 247 contaminants of emerging concern (CECs), including organic and inorganic chemical compounds, and microbial contaminants, was conducted in source and treated drinking water samples from 25 treatment plants across the United States. Multiple methods were used to determine these CECs, including six analytical methods to measure 174 pharmaceuticals, personal care products, and pesticides. A three-component quality assurance/quality control (QA/QC) program was designed for the subset of 174 CECs which allowed us to assess and compare performances of the methods used. The three components included: 1) a common field QA/QC protocol and sample design, 2) individual investigator-developed method-specific QA/QC protocols, and 3) a suite of 46 method comparison analytes that were determined in two or more analytical methods. Overall method performance for the 174 organic chemical CECs was assessed by comparing spiked recoveries in reagent, source, and treated water over a two-year period. In addition to the 247 CECs reported in the larger drinking water study, another 48 pharmaceutical compounds measured did not consistently meet predetermined quality standards. Methodologies that did not seem suitable for these analytes are overviewed. The need to exclude analytes based on method performance demonstrates the importance of additional QA/QC protocols. Published by Elsevier B.V.
The Effect of Service Quality on Patient loyalty: a Study of Private Hospitals in Tehran, Iran.
Arab, M; Tabatabaei, Sm Ghazi; Rashidian, A; Forushani, A Rahimi; Zarei, E
2012-01-01
Service quality is perceived as an important factor for developing patient's loyalty. The aim of this study was to determine the hospital service quality from the patients' viewpoints and the relative importance of quality dimensions in predicting the patient's loyalty. A cross-sectional study was conducted in 2010. The study sample was composed of 943 patients selected from eight private general hospitals in Tehran. The survey instrument was a questionnaire included 24 items about the service quality and 3 items about the patient's loyalty. Exploratory factor analysis was employed to extracting the dimensions of service quality. Also, regression analysis was performed to determining the relative importance of the service quality dimensions in predicting the patient's loyalty. The mean score of service quality and patient's loyalty was 3.99 and 4.16 out of 5, respectively. About 29% of the loyalty variance was explained by the service quality dimensions. Four quality dimensions (Costing, Process Quality, Interaction Quality and Environment Quality) were found to be key determinants of the patient's loyalty in the private hospitals of Tehran. The patients' experience in relation to the private hospitals' services has strong impact on the outcome variables like willingness to return to the same hospital and reuse its services or recommend them to others. The relationship between the service quality and patient's loyalty proves the strategic importance of improving the service quality for dragging and retaining patients and expanding the market share.
Kumar, Savitha Anil; Jayanna, Prashanth; Prabhudesai, Shilpa; Kumar, Ajai
2014-01-01
To collect and tabulate errors and nonconformities in the preanalytical, analytical, and postanalytical process phases in a diagnostic clinical laboratory that supports a super-specialty cancer center in India, and identify areas of potential improvement in patient services. We collected data from our laboratory during a period of 24 months. Departments in the study included clinical biochemistry, hematology, clinical pathology, microbiology and serology, surgical pathology, and molecular pathology. We had initiated quality assessment based on international standards in our laboratory in 2010, with the aim of obtaining accreditation by national and international governing bodies. We followed the guidelines specified by International Organization for Standardization (ISO) 15189:2007 to identify noncompliant elements of our processes. Among a total of 144,030 specimens that our referral laboratory received during the 2-year period of our study, we uncovered an overall error rate for all 3 process phases of 1.23%; all of our error rates closely approximated the results from our peer institutions. Errors were most common in the preanalytical phase in both years of study; preanalytical- and postanalytical-phase errors constituted more than 90% of all errors. Further improvements are warranted in laboratory services and are contingent on adequate training and interdepartmental communication and cooperation. Copyright© by the American Society for Clinical Pathology (ASCP).
da Rocha, Leticia; Sloane, Elliot; M Bassani, Jose
2005-01-01
This study describes a framework to support the choice of the maintenance service (in-house or third party contract) for each category of medical equipment based on: a) the real medical equipment maintenance management system currently used by the biomedical engineering group of the public health system of the Universidade Estadual de Campinas located in Brazil to control the medical equipment maintenance service, b) the Activity Based Costing (ABC) method, and c) the Analytic Hierarchy Process (AHP) method. Results show the cost and performance related to each type of maintenance service. Decision-makers can use these results to evaluate possible strategies for the categories of equipment.
The Columbia River Protection Supplemental Technologies Quality Assurance Project Plan
DOE Office of Scientific and Technical Information (OSTI.GOV)
Fix, N. J.
The U.S. Department of Energy (DOE) has conducted interim groundwater remedial activities on the Hanford Site since the mid-1990s for several groundwater contamination plumes. DOE established the Columbia River Protection Supplemental Technologies Project (Technologies Project) in 2006 to evaluate alternative treatment technologies. The objectives for the technology project are as follows: develop a 300 Area polyphosphate treatability test to immobilize uranium, design and test infiltration of a phosphate/apatite technology for Sr-90 at 100-N, perform carbon tetrachloride and chloroform attenuation parameter studies, perform vadose zone chromium characterization and geochemistry studies, perform in situ biostimulation of chromium studies for a reducing barriermore » at 100-D, and perform a treatability test for phytoremediation for Sr-90 at 100-N. This document provides the quality assurance guidelines that will be followed by the Technologies Project. This Quality Assurance Project Plan is based on the quality assurance requirements of DOE Order 414.1C, Quality Assurance, and 10 CFR 830, Subpart A--Quality Assurance Requirements as delineated in Pacific Northwest National Laboratory’s Standards-Based Management System. In addition, the technology project is subject to the Environmental Protection Agency (EPA) Requirements for Quality Assurance Project Plans (EPA/240/B-01/003, QA/R-5). The Hanford Analytical Services Quality Assurance Requirements Documents (HASQARD, DOE/RL-96-68) apply to portions of this project and to the subcontractors. HASQARD requirements are discussed within applicable sections of this plan.« less
Bharate, Sonali S; Bharate, Sandip B
2014-10-01
Citrus juices are widely consumed due to their nutritional benefits and variety of pharmacological properties. Non-enzymatic browning (NEB) is one of the most important chemical reactions responsible for quality and color changes during the heating or prolonged storage of citrus products. The present review covers various aspects of NEB in citrus juice viz. chemistry of NEB, identifiable markers of NEB, analytical methods to identify NEB markers and ways to improve the quality of citrus juice. 2,5-Dimethyl-4-hydroxy-3(2H)-furanone (DMHF) is one of the promising marker formed during browning process with number of analytical methods reported for its analysis; therefore it can be used as an indicator for NEB process. Amongst analytical methods reported, RP-HPLC is more sensitive and accurate method, which can be used as analytical tool. NEB can be prevented by removal of amino acids/ proteins (via ion exchange treatment) or by targeting NEB reactions (e.g. blockage of furfural/ HMF by sulphiting agent).
An analytical model for scanning electron microscope Type I magnetic contrast with energy filtering
NASA Astrophysics Data System (ADS)
Chim, W. K.
1994-02-01
In this article, a theoretical model for type I magnetic contrast calculations in the scanning electron microscope with energy filtering is presented. This model uses an approximate form of the secondary electron (SE) energy distribution by Chung and Everhart [M. S. Chung and T. E. Everhart, J. Appl. Phys. 45, 707 (1974). Closed form analytical expressions for the contrast and quality factors, which take into consideration the work function and field-distance integral of the material being studied, are obtained. This analytical model is compared with that of a more accurate numerical model. Results showed that the contrast and quality factors for the analytical model differed by not more than 20% from the numerical model, with the actual difference depending on the range of filtered SE energies considered. This model has also been extended to the situation of a two-detector (i.e., detector A and B) configuration, in which enhanced magnetic contrast and quality factor can be obtained by operating in the ``A-B'' mode.
Cultural values and health service quality in China.
Polsa, Pia; Fuxiang, Wei; Sääksjärvi, Maria; Shuyuan, Pei
2013-01-01
Several service quality studies show how cultural features may influence the way service quality is perceived. However, few studies specifically describe culture's influence on health service quality. Also, there are few studies that take into account patients' health service quality perceptions. This article seeks to present a first step to fill these gaps by examining patients' cultural values and their health service quality assessments. The study draws on published work and applies its ideas to Chinese healthcare settings. Data consist of hospital service perceptions in the People's Republic of China (PRC), a society that is socially, economically and culturally undergoing major changes. In total, 96 patients were surveyed. Data relationships were tested using partial least square (PLS) analysis. Findings show that Chinese patients' cultural values and their health service assessments are related and that the cultural values themselves seem to be changing. Additionally, further analyses provided interesting results pointing to which cultural values influenced service quality perceptions. The strongest service quality predictor was power distance. The sample is relatively small and collected from only one major hospital in China. Therefore, future research should extend the sample size and scope. Follow-up research could also include cross-cultural investigations of perceived health service quality to substantiate cultural influences on health service quality perceptions. In line with similar research in other contexts, the study confirms that power distance has a significant relationship with service quality perceptions. The study contributes to existing health service literature by offering patients' views on health service quality and by describing relationships between health service perceptions and cultural values--the study's main contribution.
Juibari, Leila; Sanagu, Akram; Farrokhi, Nafiseh
2010-01-01
BACKGROUND: Occupational hazards are much higher for nurses than many other jobs and neglecting this fact may reduce the quality of nursing services. The aim of this study was to investigate the relationship between knowledge of ergonomics and occupational health among the nursing staff affiliated to Golestan University of Medical Sciences. METHODS: It was a cross-sectional analytical study on 423 nursing staff working in various medical centers affiliated to Golestan University of Medical Sciences in 2008, selected by quota randomized sampling. Data collection instrument was Ergonomics Questionnaire, which consisted of 72 questions. Cronbach’s alpha for main sections of the questionnaire was 0.8, 0.8 and 0.9. Descriptive and analytical tests were used for data analysis and an alpha error of 5% was considered. RESULTS: Of all the subjects, 36.1% had 5-10 years of work experience, 61.9% had a good knowledge of ergonomic principles, and 83% were exposed to a mild level of occupational hazards. There was no significant relationship between knowledge of ergonomics and occupational health (p = 0.08). The relationships between knowledge of ergonomics and age, gender, marital status, work experience, the type, and the location of service were significant (p < 0.05). The relationship between occupational health and age, work experience, employment type, and location of service were also statistically significant (p < 0.05). CONCLUSIONS: Training staff to do their job in the best way, taking breaks between long working hours, using appropriate tools and facilities and paying attention to ergonomics can provide a healthier work environment for nurses and optimize human resource efficiency. PMID:21589793
1993-11-01
AND SUPPORT SERVICE QUALITY ....... 16 3.5.7 SUPPLIER QUALITY ............................................................................. 16 3.6...RESULTS ......................................................................................................... 16 3.6.1 PRODUCT AND SERVICE QUALITY RESULTS...10 5.6 Business Process and Support Service Quality 20 5.7 Supplier Quality 20 6.0 Results 180 6.1 Product and Service Quality Results 90 6.2 Business
The European Network of Analytical and Experimental Laboratories for Geosciences
NASA Astrophysics Data System (ADS)
Freda, Carmela; Funiciello, Francesca; Meredith, Phil; Sagnotti, Leonardo; Scarlato, Piergiorgio; Troll, Valentin R.; Willingshofer, Ernst
2013-04-01
Integrating Earth Sciences infrastructures in Europe is the mission of the European Plate Observing System (EPOS).The integration of European analytical, experimental, and analogue laboratories plays a key role in this context and is the task of the EPOS Working Group 6 (WG6). Despite the presence in Europe of high performance infrastructures dedicated to geosciences, there is still limited collaboration in sharing facilities and best practices. The EPOS WG6 aims to overcome this limitation by pushing towards national and trans-national coordination, efficient use of current laboratory infrastructures, and future aggregation of facilities not yet included. This will be attained through the creation of common access and interoperability policies to foster and simplify personnel mobility. The EPOS ambition is to orchestrate European laboratory infrastructures with diverse, complementary tasks and competences into a single, but geographically distributed, infrastructure for rock physics, palaeomagnetism, analytical and experimental petrology and volcanology, and tectonic modeling. The WG6 is presently organizing its thematic core services within the EPOS distributed research infrastructure with the goal of joining the other EPOS communities (geologists, seismologists, volcanologists, etc...) and stakeholders (engineers, risk managers and other geosciences investigators) to: 1) develop tools and services to enhance visitor programs that will mutually benefit visitors and hosts (transnational access); 2) improve support and training activities to make facilities equally accessible to students, young researchers, and experienced users (training and dissemination); 3) collaborate in sharing technological and scientific know-how (transfer of knowledge); 4) optimize interoperability of distributed instrumentation by standardizing data collection, archive, and quality control standards (data preservation and interoperability); 5) implement a unified e-Infrastructure for data analysis, numerical modelling, and joint development and standardization of numerical tools (e-science implementation); 6) collect and store data in a flexible inventory database accessible within and beyond the Earth Sciences community(open access and outreach); 7) connect to environmental and hazard protection agencies, stakeholders, and public to raise consciousness of geo-hazards and geo-resources (innovation for society). We will inform scientists and industrial stakeholders on the most recent WG6 achievements in EPOS and we will show how our community is proceeding to design the thematic core services.
Quantitative comparison of measurements of urgent care service quality.
Qin, Hong; Prybutok, Victor; Prybutok, Gayle
2016-01-01
Service quality and patient satisfaction are essential to health care organization success. Parasuraman, Zeithaml, and Berry introduced SERVQUAL, a prominent service quality measure not yet applied to urgent care. We develop an instrument to measure perceived service quality and identify the determinants of patient satisfaction/ behavioral intentions. We examine the relationships among perceived service quality, patient satisfaction and behavioral intentions, and demonstrate that urgent care service quality is not equivalent using measures of perceptions only, differences of expectations minus perceptions, ratio of perceptions to expectations, and the log of the ratio. Perceptions provide the best measure of urgent care service quality.
Bajoub, Aadil; Bendini, Alessandra; Fernández-Gutiérrez, Alberto; Carrasco-Pancorbo, Alegría
2018-03-24
Over the last decades, olive oil quality and authenticity control has become an issue of great importance to consumers, suppliers, retailers, and regulators in both traditional and emerging olive oil producing countries, mainly due to the increasing worldwide popularity and the trade globalization of this product. Thus, in order to ensure olive oil authentication, various national and international laws and regulations have been adopted, although some of them are actually causing an enormous debate about the risk that they can represent for the harmonization of international olive oil trade standards. Within this context, this review was designed to provide a critical overview and comparative analysis of selected regulatory frameworks for olive oil authentication, with special emphasis on the quality and purity criteria considered by these regulation systems, their thresholds and the analytical methods employed for monitoring them. To complete the general overview, recent analytical advances to overcome drawbacks and limitations of the official methods to evaluate olive oil quality and to determine possible adulterations were reviewed. Furthermore, the latest trends on analytical approaches to assess the olive oil geographical and varietal origin traceability were also examined.
Factors Affecting Medical Service Quality.
Mosadeghrad, Ali Mohammad
2014-02-01
A better understanding of factors influencing quality of medical service can pinpoint better strategies for quality assurance in medical services. This study aimed to identify factors affecting the quality of medical services provided by Iranian physicians. Exploratory in-depth individual interviews were conducted with sixty-four physicians working in various medical institutions in Iran. Individual, organizational and environmental factors enhance or inhibit the quality of medical services. Quality of medical services depends on the personal factors of the physician and patient, and factors pertaining to the healthcare setting and the broader environment. Differences in internal and external factors such as availability of resources, patient cooperation and collaboration among providers affect the quality of medical services and patient outcomes. Supportive leadership, proper planning, education and training and effective management of resources and processes improve the quality of medical services. This article contributes to healthcare theory and practice by developing a conceptual framework for understanding factors that influence medical services quality.
Towards Secure and Trustworthy Cyberspace: Social Media Analytics on Hacker Communities
ERIC Educational Resources Information Center
Li, Weifeng
2017-01-01
Social media analytics is a critical research area spawned by the increasing availability of rich and abundant online user-generated content. So far, social media analytics has had a profound impact on organizational decision making in many aspects, including product and service design, market segmentation, customer relationship management, and…
The Role of a Reference Synthetic Data Generator within the Field of Learning Analytics
ERIC Educational Resources Information Center
Berg, Alan\tM.; Mol, Stefan T.; Kismihók, Gábor; Sclater, Niall
2016-01-01
This paper details the anticipated impact of synthetic "big" data on learning analytics (LA) infrastructures, with a particular focus on data governance, the acceleration of service development, and the benchmarking of predictive models. By reviewing two cases, one at the sector-wide level (the Jisc learning analytics architecture) and…
Big data analytics as a service infrastructure: challenges, desired properties and solutions
NASA Astrophysics Data System (ADS)
Martín-Márquez, Manuel
2015-12-01
CERN's accelerator complex generates a very large amount of data. A large volumen of heterogeneous data is constantly generated from control equipment and monitoring agents. These data must be stored and analysed. Over the decades, CERN's researching and engineering teams have applied different approaches, techniques and technologies for this purpose. This situation has minimised the necessary collaboration and, more relevantly, the cross data analytics over different domains. These two factors are essential to unlock hidden insights and correlations between the underlying processes, which enable better and more efficient daily-based accelerator operations and more informed decisions. The proposed Big Data Analytics as a Service Infrastructure aims to: (1) integrate the existing developments; (2) centralise and standardise the complex data analytics needs for CERN's research and engineering community; (3) deliver real-time, batch data analytics and information discovery capabilities; and (4) provide transparent access and Extract, Transform and Load (ETL), mechanisms to the various and mission-critical existing data repositories. This paper presents the desired objectives and properties resulting from the analysis of CERN's data analytics requirements; the main challenges: technological, collaborative and educational and; potential solutions.
The Climate Data Analytic Services (CDAS) Framework.
NASA Astrophysics Data System (ADS)
Maxwell, T. P.; Duffy, D.
2016-12-01
Faced with unprecedented growth in climate data volume and demand, NASA has developed the Climate Data Analytic Services (CDAS) framework. This framework enables scientists to execute data processing workflows combining common analysis operations in a high performance environment close to the massive data stores at NASA. The data is accessed in standard (NetCDF, HDF, etc.) formats in a POSIX file system and processed using vetted climate data analysis tools (ESMF, CDAT, NCO, etc.). A dynamic caching architecture enables interactive response times. CDAS utilizes Apache Spark for parallelization and a custom array framework for processing huge datasets within limited memory spaces. CDAS services are accessed via a WPS API being developed in collaboration with the ESGF Compute Working Team to support server-side analytics for ESGF. The API can be accessed using either direct web service calls, a python script, a unix-like shell client, or a javascript-based web application. Client packages in python, scala, or javascript contain everything needed to make CDAS requests. The CDAS architecture brings together the tools, data storage, and high-performance computing required for timely analysis of large-scale data sets, where the data resides, to ultimately produce societal benefits. It is is currently deployed at NASA in support of the Collaborative REAnalysis Technical Environment (CREATE) project, which centralizes numerous global reanalysis datasets onto a single advanced data analytics platform. This service permits decision makers to investigate climate changes around the globe, inspect model trends and variability, and compare multiple reanalysis datasets.
Morishita, Y
2001-05-01
The subject matters concerned with use of so-called simplified analytical systems for the purpose of useful utilizing are mentioned from the perspective of a laboratory technician. 1. The data from simplified analytical systems should to be agreed with those of particular reference methods not to occur the discrepancy of the data from different laboratories. 2. Accuracy of the measured results using simplified analytical systems is hard to be scrutinized thoroughly and correctly with the quality control surveillance procedure on the stored pooled serum or partly-processed blood. 3. It is necessary to present the guide line to follow about the contents of evaluation to guarantee on quality of simplified analytical systems. 4. Maintenance and manual performance of simplified analytical systems have to be standardized by a laboratory technician and a selling agent technician. 5. It calls attention, further that the cost of simplified analytical systems is much expensive compared to that of routine method with liquid reagents. 6. Various substances in human serum, like cytokine, hormone, tumor marker, and vitamin, etc. are also hoped to be measured by simplified analytical systems.
Bridges, Susan Margaret; McGrath, Colman Patrick; Yiu, Cynthia Kar Yung; Zayts, Olga A.; Au, Terry Kit Fong
2017-01-01
Patients’ perceived satisfaction is a key performance index of the quality health care service. Good communication has been found to increase patient’s perceived satisfaction. The purpose of this study was to examine the impact of the prominent themes arising from clinician-patient conversations on the caregiver’s perceived quality of communication during paediatric dental visits. 162 video recordings of clinical dental consultations for 62 cases attending the Paediatric Dentistry Clinic of The Prince Philip Dental Hospital in Hong Kong were captured and transcribed. The patients’ demographic information and the caregiver’s perceived quality of communication with the clinicians were recorded using the 16-item Dental Patient Feedback on Consultation skills questionnaires. Visual text analytics (Leximancer™) indicated five prominent themes ‘disease / treatment’, ‘treatment procedure related instructions’, ‘preparation for examination’, ‘positive reinforcement / reassurance’, and ‘family / social history’ from the clinician-patient conversation of the recorded videos, with 60.2% of the total variance in concept words in this study explained through principal components analysis. Significant variation in perceived quality of communication was noted in five variables regarding the prominent theme ‘Positive reinforcement / reassurance’: ‘number of related words’ (p = 0.002), ‘number of related utterances’ (p = 0.001), ‘percentage of the related words in total number of words’ (p = 0.005), ‘percentage of the related utterances in total number of utterances’ (p = 0.035) and ‘percentage of time spent in total time duration’ (p = 0.023). Clinicians were perceived to be more patient-centered and empathetic if a larger proportion of their conversation showed positive reinforcement and reassurance via using related key words. Care-giver’s involvement, such as clinicians’ mention of the parent, was also seen as critical to perceptions of quality clinical experience. The study reveals the potential of the application of visual text analytics software in clinical consultations with implications for professional development regarding clinicians’ communication skills for improving patients’ clinical experiences and treatment satisfaction. PMID:28046044
Does quality influence utilization of primary health care? Evidence from Haiti.
Gage, Anna D; Leslie, Hannah H; Bitton, Asaf; Jerome, J Gregory; Joseph, Jean Paul; Thermidor, Roody; Kruk, Margaret E
2018-06-20
Expanding coverage of primary healthcare services such as antenatal care and vaccinations is a global health priority; however, many Haitians do not utilize these services. One reason may be that the population avoids low quality health facilities. We examined how facility infrastructure and the quality of primary health care service delivery were associated with community utilization of primary health care services in Haiti. We constructed two composite measures of quality for all Haitian facilities using the 2013 Service Provision Assessment survey. We geographically linked population clusters from the Demographic and Health Surveys to nearby facilities offering primary health care services. We assessed the cross-sectional association between quality and utilization of four primary care services: antenatal care, postnatal care, vaccinations and sick child care, as well as one more complex service: facility delivery. Facilities performed poorly on both measures of quality, scoring 0.55 and 0.58 out of 1 on infrastructure and service delivery quality respectively. In rural areas, utilization of several primary cares services (antenatal care, postnatal care, and vaccination) was associated with both infrastructure and quality of service delivery, with stronger associations for service delivery. Facility delivery was associated with infrastructure quality, and there was no association for sick child care. In urban areas, care utilization was not associated with either quality measure. Poor quality of care may deter utilization of beneficial primary health care services in rural areas of Haiti. Improving health service quality may offer an opportunity not only to improve health outcomes for patients, but also to expand coverage of key primary health care services.
DOE Office of Scientific and Technical Information (OSTI.GOV)
Bartholomay, R.C.
1993-12-31
Water from 11 wells completed in the Snake River Plain aquifer at the Idaho National Engineering Laboratory was sampled as Part of the US. Geological Survey`s quality assurance program to determine the effect of Purging different borehole volumes on tritium and strontium-90 concentrations. Wells were selected for sampling on the basis of the length of time it took to purge a borehole volume of water. Samples were collected after purging one, two, and three borehole volumes. The US Department of Energy`s Radiological and Environmental Sciences Laboratory provided analytical services. Statistics were used to determine the reproducibility of analytical results. Themore » comparison between tritium and strontium-90 concentrations after purging one and three borehole volumes and two and three borehole volumes showed that all but two sample pairs with defined numbers were in statistical agreement. Results indicate that concentrations of tritium and strontium-90 are not affected measurably by the number of borehole volumes purged.« less
Vaitsis, Christos; Nilsson, Gunnar; Zary, Nabil
2015-01-01
The medical curriculum is the main tool representing the entire undergraduate medical education. Due to its complexity and multilayered structure it is of limited use to teachers in medical education for quality improvement purposes. In this study we evaluated three visualizations of curriculum data from a pilot course, using teachers from an undergraduate medical program and applying visual analytics methods. We found that visual analytics can be used to positively impacting analytical reasoning and decision making in medical education through the realization of variables capable to enhance human perception and cognition on complex curriculum data. The positive results derived from our evaluation of a medical curriculum and in a small scale, signify the need to expand this method to an entire medical curriculum. As our approach sustains low levels of complexity it opens a new promising direction in medical education informatics research.
Post-analytical Issues in Hemostasis and Thrombosis Testing.
Favaloro, Emmanuel J; Lippi, Giuseppe
2017-01-01
Analytical concerns within hemostasis and thrombosis testing are continuously decreasing. This is essentially attributable to modern instrumentation, improvements in test performance and reliability, as well as the application of appropriate internal quality control and external quality assurance measures. Pre-analytical issues are also being dealt with in some newer instrumentation, which are able to detect hemolysis, icteria and lipemia, and, in some cases, other issues related to sample collection such as tube under-filling. Post-analytical issues are generally related to appropriate reporting and interpretation of test results, and these are the focus of the current overview, which provides a brief description of these events, as well as guidance for their prevention or minimization. In particular, we propose several strategies for improved post-analytical reporting of hemostasis assays and advise that this may provide the final opportunity to prevent serious clinical errors in diagnosis.
The Effect of Service Quality on Patient loyalty: a Study of Private Hospitals in Tehran, Iran
Arab, M; Tabatabaei, SM Ghazi; Rashidian, A; Forushani, A Rahimi; Zarei, E
2012-01-01
Background: Service quality is perceived as an important factor for developing patient’s loyalty. The aim of this study was to determine the hospital service quality from the patients’ viewpoints and the relative importance of quality dimensions in predicting the patient’s loyalty. Methods: A cross-sectional study was conducted in 2010. The study sample was composed of 943 patients selected from eight private general hospitals in Tehran. The survey instrument was a questionnaire included 24 items about the service quality and 3 items about the patient’s loyalty. Exploratory factor analysis was employed to extracting the dimensions of service quality. Also, regression analysis was performed to determining the relative importance of the service quality dimensions in predicting the patient’s loyalty. Result: The mean score of service quality and patient’s loyalty was 3.99 and 4.16 out of 5, respectively. About 29% of the loyalty variance was explained by the service quality dimensions. Four quality dimensions (Costing, Process Quality, Interaction Quality and Environment Quality) were found to be key determinants of the patient’s loyalty in the private hospitals of Tehran. Conclusion: The patients’ experience in relation to the private hospitals’ services has strong impact on the outcome variables like willingness to return to the same hospital and reuse its services or recommend them to others. The relationship between the service quality and patient’s loyalty proves the strategic importance of improving the service quality for dragging and retaining patients and expanding the market share. PMID:23193509
Service quality in community pharmacy: an exploration of determinants.
White, Lesley; Klinner, Christiane
2012-01-01
Although various instruments have been developed to measure customer satisfaction with community pharmacy services, there is limited research regarding pharmacy staffs' understanding of service quality and its determinants. This study aimed to explore the perceptions of pharmacy staff regarding the factors that constitute a high level of service quality using the service quality determinants proposed by the Conceptual Model of Service Quality. Structured interviews were conducted with 27 pharmacy assistants and 6 pharmacists in 3 community pharmacies in Sydney. The interview questions focused on the participants' perceptions of consumer expectations, the translation of these perceptions into service quality specifications, the actual service delivery, and the communication to customers. From the pharmacy staff perspective, service quality is significantly limited by insufficient internal communication and control processes that impede role clarity and the resolution of conflicting role expectations among customer service personnel. Participants indicated that these problems could be alleviated through the implementation of more transparent, realistic, measurable, and accepted quality specifications by pharmacy management. The study indicates that the extent to which pharmacy management sets, maintains, and communicates service quality specifications to staff directly affects role clarity, role conflict, and organizational commitment among customer service staff, which in turn directly influence the level of service quality provided to the customers. Copyright © 2012 Elsevier Inc. All rights reserved.
Superfund CLP National Functional Guidelines for Data Review
A collection of all the national functional guidelines for data review written and maintained by EPA OSWER OSRTI's Analytical Services Branch (ASB). Used for review of analytical data generated using CLP SOWs.
Analytical and simulator study of advanced transport
NASA Technical Reports Server (NTRS)
Levison, W. H.; Rickard, W. W.
1982-01-01
An analytic methodology, based on the optimal-control pilot model, was demonstrated for assessing longitidunal-axis handling qualities of transport aircraft in final approach. Calibration of the methodology is largely in terms of closed-loop performance requirements, rather than specific vehicle response characteristics, and is based on a combination of published criteria, pilot preferences, physical limitations, and engineering judgment. Six longitudinal-axis approach configurations were studied covering a range of handling qualities problems, including the presence of flexible aircraft modes. The analytical procedure was used to obtain predictions of Cooper-Harper ratings, a solar quadratic performance index, and rms excursions of important system variables.
Risk management of drinking water relies on quality analytical data. Analytical methodology can often be adapted from environmental monitoring sources. However, risk management sometimes presents special analytical challenges because data may be needed from a source for which n...
7 CFR 90.2 - General terms defined.
Code of Federal Regulations, 2011 CFR
2011-01-01
... agency, or other agency, organization or person that defines in the general terms the basis on which the... analytical data using proficiency check sample or analyte recovery techniques. In addition, the certainty.... Quality control. The system of close examination of the critical details of an analytical procedure in...
Curriculum Innovation for Marketing Analytics
ERIC Educational Resources Information Center
Wilson, Elizabeth J.; McCabe, Catherine; Smith, Robert S.
2018-01-01
College graduates need better preparation for and experience in data analytics for higher-quality problem solving. Using the curriculum innovation framework of Borin, Metcalf, and Tietje (2007) and case study research methods, we offer rich insights about one higher education institution's work to address the marketing analytics skills gap.…
Using fuzzy gap analysis to measure service quality of medical tourism in Taiwan.
Ho, Li-Hsing; Feng, Shu-Yun; Yen, Tieh-Min
2015-01-01
The purpose of this paper is intended to create a model to measure quality of service, using fuzzy linguistics to analyze the quality of service of medical tourism in Taiwan so as to find the direction for improvement of service quality in medical tourism. The study developed fuzzy questionnaires based on the characteristics of medical tourism quality of service in Taiwan. Questionnaires were delivered and recovered from February to April 2014, using random sampling according to the proportion of medical tourism companies in each region, and 150 effective samples were obtained. The critical quality of service level is found through the fuzzy gap analysis using questionnaires examining expectations and perceptions of customers, as the direction for continuous improvement. From the study, the primary five critical service items that improve the quality of service for medical tourism in Taiwan include, in order: the capability of the service provider to provide committed medical tourism services reliably and accurately, facility service providers in conjunction with the services provided, the cordial and polite attitude of the service provider eliciting a sense of trust from the customer, professional ability of medical (nursing) personnel in hospital and reliability of service provider. The contribution of this study is to create a fuzzy gap analysis to assess the performance of medical tourism service quality, identify key quality characteristics and provide a direction for improvement and development for medical tourism service quality in Taiwan.
Energy access and sustainable development
NASA Astrophysics Data System (ADS)
Kammen, Daniel M.; Alstone, Peter; Gershenson, Dimitry
2015-03-01
With 1.4 billion people lacking electricity to light their homes and provide other basic services, or to conduct business, and all of humanity (and particularly the poor) are in need of a decarbonized energy system can close the energy access gap and protect the global climate system. With particular focus on addressing the energy needs of the underserved, we present an analytical framework informed by historical trends and contemporary technological, social, and institutional conditions that clarifies the heterogeneous continuum of centralized on-grid electricity, autonomous mini- or community grids, and distributed, individual energy services. We find that the current day is a unique moment of innovation in decentralized energy networks based on super-efficient end-use technology and low-cost photovoltaics, supported by rapidly spreading information technology, particularly mobile phones. Collectively these disruptive technology systems could rapidly increase energy access, contributing to meeting the Millennium Development Goals for quality of life, while simultaneously driving action towards low-carbon, Earth-sustaining, energy systems.
10 CFR 26.137 - Quality assurance and quality control.
Code of Federal Regulations, 2013 CFR
2013-01-01
... validation of analytical procedures. Quality assurance procedures must be designed, implemented, and reviewed... resolving any technical, methodological, or administrative errors in the licensee testing facility's testing...
10 CFR 26.137 - Quality assurance and quality control.
Code of Federal Regulations, 2010 CFR
2010-01-01
... validation of analytical procedures. Quality assurance procedures must be designed, implemented, and reviewed... resolving any technical, methodological, or administrative errors in the licensee testing facility's testing...
10 CFR 26.137 - Quality assurance and quality control.
Code of Federal Regulations, 2011 CFR
2011-01-01
... validation of analytical procedures. Quality assurance procedures must be designed, implemented, and reviewed... resolving any technical, methodological, or administrative errors in the licensee testing facility's testing...
10 CFR 26.137 - Quality assurance and quality control.
Code of Federal Regulations, 2012 CFR
2012-01-01
... validation of analytical procedures. Quality assurance procedures must be designed, implemented, and reviewed... resolving any technical, methodological, or administrative errors in the licensee testing facility's testing...
10 CFR 26.137 - Quality assurance and quality control.
Code of Federal Regulations, 2014 CFR
2014-01-01
... validation of analytical procedures. Quality assurance procedures must be designed, implemented, and reviewed... resolving any technical, methodological, or administrative errors in the licensee testing facility's testing...
... and values Strategic goals History of UNOS Leadership Governance Financials Annual report SERVICES Education and training Research and data analytics Technology services Meeting planning Advertising Online store ...
Stability of ricinine, abrine, and alpha-amanitin in finished tap ...
Journal Article Ricinine and abrine are potential indicators of drinking water contamination by the biotoxins ricin and abrin, respectively. Simultaneous detection of ricinine and abrine, along with α-amanitin, another potential biotoxin water contaminant, is reportable through the use of automated sample preparation via solid phase extraction and detection using liquid chromatography/tandem-mass spectrometry. Performance of the method was characterized over eight analytical batches with quality control samples analyzed over 10 days. For solutions of analytes prepared with appropriate preservatives, the minimum reporting level (MRL) was 0.50 μg/L for ricinine and abrine and 2.0 μg/L for α-amanitin. Among the analytes, the accuracy of the analysis ranged between 93 and 100% at concentrations of 1-2.5 x the MRL, with analytical precision ranging from 4 to 8%. Five drinking waters representing a range of water quality parameters and disinfection practices were fortified with the analytes and analyzed over a 28 day period to determine their storage stability in these waters. Ricinine was observed to be stable for 28 days in all tap waters. The analytical signal decreased within 5 hrs of sample preparation for abrine and μ-amanitin in some waters, but afterwards, remained stable for 28 days. The magnitude of the decrease correlated with common water quality parameters potentially related to sorption of contaminants onto dissolved and colloidal components within
Complete internal audit of a mammography service in a reference institution for breast imaging.
Badan, Gustavo Machado; Roveda Júnior, Décio; Ferreira, Carlos Alberto Pecci; de Noronha Junior, Ozeas Alves
2014-01-01
Undertaking of a complete audit of the service of mammography, as recommended by BI-RADS(®), in a private reference institution for breast cancer diagnosis in the city of São Paulo, SP, Brazil, and comparison of results with those recommended by the literature. Retrospective, analytical and cross-sectional study including 8,000 patients submitted to mammography in the period between April 2010 and March 2011, whose results were subjected to an internal audit. The patients were followed-up until December 2012. The radiological classification of 7,249 screening mammograms, according to BI-RADS, was the following: category 0 (1.43%), 1 (7.82%), 2 (80.76%), 3 (8.35%), 4 (1.46%), 5 (0.15%) and 6 (0.03%). The breast cancer detection ratio was 4.8 cases per 1,000 mammograms. Ductal carcinoma in situ was found in 22.8% of cases. Positive predictive values for categories 3, 4 and 5 were 1.3%, 41.3% and 100%, respectively. In the present study, the sensitivity of the method was 97.1% and specificity, 97.4%. The complete internal audit of a service of mammography is essential to evaluate the quality of such service, which reflects on an early breast cancer detection and reduction of mortality rates.
Portman, Michelle E.; Shabtay-Yanai, Ateret; Zanzuri, Asaf
2016-01-01
Developed decades ago for spatial choice problems related to zoning in the urban planning field, multicriteria analysis (MCA) has more recently been applied to environmental conflicts and presented in several documented cases for the creation of protected area management plans. Its application is considered here for the development of zoning as part of a proposed marine protected area management plan. The case study incorporates specially-explicit conservation features while considering stakeholder preferences, expert opinion and characteristics of data quality. It involves the weighting of criteria using a modified analytical hierarchy process. Experts ranked physical attributes which include socio-economically valued physical features. The parameters used for the ranking of (physical) attributes important for socio-economic reasons are derived from the field of ecosystem services assessment. Inclusion of these feature values results in protection that emphasizes those areas closest to shore, most likely because of accessibility and familiarity parameters and because of data biases. Therefore, other spatial conservation prioritization methods should be considered to supplement the MCA and efforts should be made to improve data about ecosystem service values farther from shore. Otherwise, the MCA method allows incorporation of expert and stakeholder preferences and ecosystem services values while maintaining the advantages of simplicity and clarity. PMID:27183224
Portman, Michelle E; Shabtay-Yanai, Ateret; Zanzuri, Asaf
2016-01-01
Developed decades ago for spatial choice problems related to zoning in the urban planning field, multicriteria analysis (MCA) has more recently been applied to environmental conflicts and presented in several documented cases for the creation of protected area management plans. Its application is considered here for the development of zoning as part of a proposed marine protected area management plan. The case study incorporates specially-explicit conservation features while considering stakeholder preferences, expert opinion and characteristics of data quality. It involves the weighting of criteria using a modified analytical hierarchy process. Experts ranked physical attributes which include socio-economically valued physical features. The parameters used for the ranking of (physical) attributes important for socio-economic reasons are derived from the field of ecosystem services assessment. Inclusion of these feature values results in protection that emphasizes those areas closest to shore, most likely because of accessibility and familiarity parameters and because of data biases. Therefore, other spatial conservation prioritization methods should be considered to supplement the MCA and efforts should be made to improve data about ecosystem service values farther from shore. Otherwise, the MCA method allows incorporation of expert and stakeholder preferences and ecosystem services values while maintaining the advantages of simplicity and clarity.
ERIC Educational Resources Information Center
Mandler, Daphna; Blonder, Ron; Yayon, Malka; Mamlok-Naaman, Rachel; Hofstein, Avi
2014-01-01
This paper describes the rationale and the implementation of five laboratory experiments; four of them, intended for high-school students, are inquiry-based activities that explore the quality of water. The context of water provides students with an opportunity to study the importance of analytical methods and how they influence our everyday…
Wetherbee, Gregory A.; Martin, RoseAnn
2017-02-06
The U.S. Geological Survey Branch of Quality Systems operates the Precipitation Chemistry Quality Assurance Project (PCQA) for the National Atmospheric Deposition Program/National Trends Network (NADP/NTN) and National Atmospheric Deposition Program/Mercury Deposition Network (NADP/MDN). Since 1978, various programs have been implemented by the PCQA to estimate data variability and bias contributed by changing protocols, equipment, and sample submission schemes within NADP networks. These programs independently measure the field and laboratory components which contribute to the overall variability of NADP wet-deposition chemistry and precipitation depth measurements. The PCQA evaluates the quality of analyte-specific chemical analyses from the two, currently (2016) contracted NADP laboratories, Central Analytical Laboratory and Mercury Analytical Laboratory, by comparing laboratory performance among participating national and international laboratories. Sample contamination and stability are evaluated for NTN and MDN by using externally field-processed blank samples provided by the Branch of Quality Systems. A colocated sampler program evaluates the overall variability of NTN measurements and bias between dissimilar precipitation gages and sample collectors.This report documents historical PCQA operations and general procedures for each of the external quality-assurance programs from 2007 to 2016.
Learning Analytics Considered Harmful
ERIC Educational Resources Information Center
Dringus, Laurie P.
2012-01-01
This essay is written to present a prospective stance on how learning analytics, as a core evaluative approach, must help instructors uncover the important trends and evidence of quality learner data in the online course. A critique is presented of strategic and tactical issues of learning analytics. The approach to the critique is taken through…
Discourse-Centric Learning Analytics: Mapping the Terrain
ERIC Educational Resources Information Center
Knight, Simon; Littleton, Karen
2015-01-01
There is an increasing interest in developing learning analytic techniques for the analysis, and support of, high-quality learning discourse. This paper maps the terrain of discourse-centric learning analytics (DCLA), outlining the distinctive contribution of DCLA and outlining a definition for the field moving forwards. It is our claim that DCLA…
DOE Office of Scientific and Technical Information (OSTI.GOV)
Gutmacher, R.; Crawford, R.
This comprehensive guide to the analytical capabilities of Lawrence Livermore Laboratory's General Chemistry Division describes each analytical method in terms of its principle, field of application, and qualitative and quantitative uses. Also described are the state and quantity of sample required for analysis, processing time, available instrumentation, and responsible personnel.
Organic Analytical Service within the Superfund Contract Laboratory Program
This page contains information about the SOM02.4 statement of work for the analysis of organic compounds at hazardous waste sites. The SOW contains the analytical method and contractual requirements for laboratories.
Inorganic Analytical Service within the Superfund Contract Laboratory Program
This page contains information about the ISM02.4 statement of work for the analysis of metals and cyanide at hazardous waste sites. The SOW contains the analytical method and contractual requirements for laboratories.
Handling qualities criteria for the space shuttle orbiter during the terminal phase of flight
NASA Technical Reports Server (NTRS)
Stapleford, R. L.; Klein, R. H.; Hob, R. H.
1972-01-01
It was found that large portions of the military handling qualities specification are directly applicable. However a number of additional and substitute criteria are recommended for areas not covered or inadequately covered in the military specification. Supporting pilot/vehicle analyses and simulation experiments were conducted and are described. Results are also presented of analytical and simulator evaluations of three specific interim Orbiter designs which provided a test of the proposed handling qualities criteria. The correlations between the analytical and experimental evaluations were generally excellent.
United Network for Organ Sharing
... and values Strategic goals History of UNOS Leadership Governance Financials Annual report SERVICES Education and training Research and data analytics Technology services Meeting planning Advertising Online store ...
Data envelopment analysis in service quality evaluation: an empirical study
NASA Astrophysics Data System (ADS)
Najafi, Seyedvahid; Saati, Saber; Tavana, Madjid
2015-09-01
Service quality is often conceptualized as the comparison between service expectations and the actual performance perceptions. It enhances customer satisfaction, decreases customer defection, and promotes customer loyalty. Substantial literature has examined the concept of service quality, its dimensions, and measurement methods. We introduce the perceived service quality index (PSQI) as a single measure for evaluating the multiple-item service quality construct based on the SERVQUAL model. A slack-based measure (SBM) of efficiency with constant inputs is used to calculate the PSQI. In addition, a non-linear programming model based on the SBM is proposed to delineate an improvement guideline and improve service quality. An empirical study is conducted to assess the applicability of the method proposed in this study. A large number of studies have used DEA as a benchmarking tool to measure service quality. These models do not propose a coherent performance evaluation construct and consequently fail to deliver improvement guidelines for improving service quality. The DEA models proposed in this study are designed to evaluate and improve service quality within a comprehensive framework and without any dependency on external data.
Technology usage, quality management system, and service quality in Thailand.
Sivabrovornvatana, Nilubon; Siengthai, Sununta; Krairit, Donyaprueth; Paul, Himangshu
2005-01-01
This article aims to explore the relationship between technology and quality management for enhancing Thai hospital service quality. The paper presents the findings of an exploratory study that investigates service quality from the customer and service provider perception. In-depth interviews were conducted with respondents in Thai hospitals. The interviews explored service-related factors that patients and service providers perceive to be important for hospital services. The first interview group consisted of professionals as internal customers in direct contact with external customers, while the second group consisted of external customers of the same hospitals. The study's outcomes clearly suggest factors that make significant contribution to service quality. These factors can be categorized according to five SERVQUAL dimensions (reliability, responsiveness, assurance, empathy, and tangibility), although some factors required slightly different interpretation. The findings suggest that hospitals can develop an appropriate approach to their advantage, which can yield sustainable improvement in service quality as perceived by patients and professionals. Hospitals can make better quality decisions based on structured measurement and knowledge. It is recommended that managers apply this knowledge for successful implementation of activities related to service quality in their organizations.
Westgard, Sten A
2016-06-01
To assess the analytical performance of instruments and methods through external quality assessment and proficiency testing data on the Sigma scale. A representative report from five different EQA/PT programs around the world (2 US, 1 Canadian, 1 UK, and 1 Australasian) was accessed. The instrument group standard deviations were used as surrogate estimates of instrument imprecision. Performance specifications from the US CLIA proficiency testing criteria were used to establish a common quality goal. Then Sigma-metrics were calculated to grade the analytical performance. Different methods have different Sigma-metrics for each analyte reviewed. Summary Sigma-metrics estimate the percentage of the chemistry analytes that are expected to perform above Five Sigma, which is where optimized QC design can be implemented. The range of performance varies from 37% to 88%, exhibiting significant differentiation between instruments and manufacturers. Median Sigmas for the different manufacturers in three analytes (albumin, glucose, sodium) showed significant differentiation. Chemistry tests are not commodities. Quality varies significantly from manufacturer to manufacturer, instrument to instrument, and method to method. The Sigma-assessments from multiple EQA/PT programs provide more insight into the performance of methods and instruments than any single program by itself. It is possible to produce a ranking of performance by manufacturer, instrument and individual method. Laboratories seeking optimal instrumentation would do well to consult this data as part of their decision-making process. To confirm that these assessments are stable and reliable, a longer term study should be conducted that examines more results over a longer time period. Copyright © 2016 The Canadian Society of Clinical Chemists. Published by Elsevier Inc. All rights reserved.
Patients' perceptions of service quality in China: An investigation using the SERVQUAL model.
Fan, Li-Hua; Gao, Lei; Liu, Xin; Zhao, Shi-Hong; Mu, Hui-Tong; Li, Zhe; Shi, Lei; Wang, Ling-Ling; Jia, Xiao-Li; Ha, Min; Lou, Feng-Ge
2017-01-01
The doctor-patient relationship has been a major focus of society. Hospitals' efforts to improve the quality of their medical services have been to reduce the probability of doctor-patient conflicts. In this study, we aimed to determine the gap between expectations and perceptions of service quality according to patients to provide reference data for creating strategies to improve health care quality. Twenty-seven hospitals in 15 provinces (municipalities directly beneath the central government) were selected for our survey; we sent out 1,589 questionnaires, of which 1,520 were collected (response rate 95.65%) and 1,303 were valid (85.72% effective recovery rate). Paired t-tests were used to analyze whether there were significant differences between patients' expectations and perceived service quality. A binary logistic regression analysis was used to determine whether there were significant differences in the gap between expectation and perception of service quality according to patients' demographic characteristics. There was a significant difference between the expected and perceived service quality (p < 0.05) according to patients both before and after receiving medical services. Furthermore, the service quality gap of each service dimension was negative. Specifically, the gaps in service quality were as follows: economy, responsiveness, empathy, assurance, reliability, and tangibles. Overall, we can conclude that patients' perceptions of service quality are lower than their expectations. According to the study results, the quality of health care services as perceived by patients was lower than expected. Hospitals should make adjustments according to the actual situation and should strive to constantly improve the quality of medical services for patients.
Mohaghegh, Niloofar; Raiesi Dehkordi, Puran; Alibeik, MohammadReza; Ghashghaee, Ahmad; Janbozorgi, Mojgan
2016-01-01
Background: In-service training courses are one of the most available programs that are used to improve the quantity and quality level of the staff services in various organizations, including libraries and information centers. With the advent of new technologies in the field of education, the problems and shortcomings of traditional in-service training courses were replaced with virtual ones. This study aimed to evaluate the virtual in-service training courses from the librarians' point of view in libraries of state universities of medical sciences in Tehran. Methods: This was a descriptive- analytical study. The statistical population consisted of all librarians at libraries of universities of medical sciences in Tehran. Out of 103 librarians working in the libraries under the study, 93 (90%) participated in this study. Data were collected, using a questionnaire. Results: The results revealed that 94/6% of librarians were satisfied to participate in virtual in-service training courses. In this study, only 45 out of 93 participants said that the virtual in-service courses were held in their libraries. Of the participants, 75.6% were satisfied with the length of training courses, and one month seemed to be adequate time duration for the librarians to be more satisfied. The satisfaction level of the individuals who participated in in-service courses of the National Library was moderate to high. A total of 84.4% participants announced that the productivity level of the training courses was moderate to high. The most important problem with which the librarians were confronted in virtual in-service training was the "low speed of the internet and inadequate computer substructures". Conclusion: Effectiveness of in-service training courses from librarians' point of view was at an optimal level in the studied libraries.
Mohaghegh, Niloofar; Raiesi Dehkordi, Puran; Alibeik, MohammadReza; Ghashghaee, Ahmad; Janbozorgi, Mojgan
2016-01-01
Background: In-service training courses are one of the most available programs that are used to improve the quantity and quality level of the staff services in various organizations, including libraries and information centers. With the advent of new technologies in the field of education, the problems and shortcomings of traditional in-service training courses were replaced with virtual ones. This study aimed to evaluate the virtual in-service training courses from the librarians' point of view in libraries of state universities of medical sciences in Tehran. Methods: This was a descriptive- analytical study. The statistical population consisted of all librarians at libraries of universities of medical sciences in Tehran. Out of 103 librarians working in the libraries under the study, 93 (90%) participated in this study. Data were collected, using a questionnaire. Results: The results revealed that 94/6% of librarians were satisfied to participate in virtual in-service training courses. In this study, only 45 out of 93 participants said that the virtual in-service courses were held in their libraries. Of the participants, 75.6% were satisfied with the length of training courses, and one month seemed to be adequate time duration for the librarians to be more satisfied. The satisfaction level of the individuals who participated in in-service courses of the National Library was moderate to high. A total of 84.4% participants announced that the productivity level of the training courses was moderate to high. The most important problem with which the librarians were confronted in virtual in-service training was the "low speed of the internet and inadequate computer substructures". Conclusion: Effectiveness of in-service training courses from librarians’ point of view was at an optimal level in the studied libraries. PMID:28491833
Earthdata Cloud Analytics Project
NASA Technical Reports Server (NTRS)
Ramachandran, Rahul; Lynnes, Chris
2018-01-01
This presentation describes a nascent project in NASA to develop a framework to support end-user analytics of NASA's Earth science data in the cloud. The chief benefit of migrating EOSDIS (Earth Observation System Data and Information Systems) data to the cloud is to position the data next to enormous computing capacity to allow end users to process data at scale. The Earthdata Cloud Analytics project will user a service-based approach to facilitate the infusion of evolving analytics technology and the integration with non-NASA analytics or other complementary functionality at other agencies and in other nations.
Ayal, Shahar; Rusou, Zohar; Zakay, Dan; Hochman, Guy
2015-01-01
A framework is presented to better characterize the role of individual differences in information processing style and their interplay with contextual factors in determining decision making quality. In Experiment 1, we show that individual differences in information processing style are flexible and can be modified by situational factors. Specifically, a situational manipulation that induced an analytical mode of thought improved decision quality. In Experiment 2, we show that this improvement in decision quality is highly contingent on the compatibility between the dominant thinking mode and the nature of the task. That is, encouraging an intuitive mode of thought led to better performance on an intuitive task but hampered performance on an analytical task. The reverse pattern was obtained when an analytical mode of thought was encouraged. We discuss the implications of these results for the assessment of decision making competence, and suggest practical directions to help individuals better adjust their information processing style to the situation at hand and make optimal decisions. PMID:26284011
USGS Blind Sample Project: monitoring and evaluating laboratory analytical quality
Ludtke, Amy S.; Woodworth, Mark T.
1997-01-01
The U.S. Geological Survey (USGS) collects and disseminates information about the Nation's water resources. Surface- and ground-water samples are collected and sent to USGS laboratories for chemical analyses. The laboratories identify and quantify the constituents in the water samples. Random and systematic errors occur during sample handling, chemical analysis, and data processing. Although all errors cannot be eliminated from measurements, the magnitude of their uncertainty can be estimated and tracked over time. Since 1981, the USGS has operated an independent, external, quality-assurance project called the Blind Sample Project (BSP). The purpose of the BSP is to monitor and evaluate the quality of laboratory analytical results through the use of double-blind quality-control (QC) samples. The information provided by the BSP assists the laboratories in detecting and correcting problems in the analytical procedures. The information also can aid laboratory users in estimating the extent that laboratory errors contribute to the overall errors in their environmental data.
Ayal, Shahar; Rusou, Zohar; Zakay, Dan; Hochman, Guy
2015-01-01
A framework is presented to better characterize the role of individual differences in information processing style and their interplay with contextual factors in determining decision making quality. In Experiment 1, we show that individual differences in information processing style are flexible and can be modified by situational factors. Specifically, a situational manipulation that induced an analytical mode of thought improved decision quality. In Experiment 2, we show that this improvement in decision quality is highly contingent on the compatibility between the dominant thinking mode and the nature of the task. That is, encouraging an intuitive mode of thought led to better performance on an intuitive task but hampered performance on an analytical task. The reverse pattern was obtained when an analytical mode of thought was encouraged. We discuss the implications of these results for the assessment of decision making competence, and suggest practical directions to help individuals better adjust their information processing style to the situation at hand and make optimal decisions.
Pre-analytical issues in the haemostasis laboratory: guidance for the clinical laboratories.
Magnette, A; Chatelain, M; Chatelain, B; Ten Cate, H; Mullier, F
2016-01-01
Ensuring quality has become a daily requirement in laboratories. In haemostasis, even more than in other disciplines of biology, quality is determined by a pre-analytical step that encompasses all procedures, starting with the formulation of the medical question, and includes patient preparation, sample collection, handling, transportation, processing, and storage until time of analysis. This step, based on a variety of manual activities, is the most vulnerable part of the total testing process and is a major component of the reliability and validity of results in haemostasis and constitutes the most important source of erroneous or un-interpretable results. Pre-analytical errors may occur throughout the testing process and arise from unsuitable, inappropriate or wrongly handled procedures. Problems may arise during the collection of blood specimens such as misidentification of the sample, use of inadequate devices or needles, incorrect order of draw, prolonged tourniquet placing, unsuccessful attempts to locate the vein, incorrect use of additive tubes, collection of unsuitable samples for quality or quantity, inappropriate mixing of a sample, etc. Some factors can alter the result of a sample constituent after collection during transportation, preparation and storage. Laboratory errors can often have serious adverse consequences. Lack of standardized procedures for sample collection accounts for most of the errors encountered within the total testing process. They can also have clinical consequences as well as a significant impact on patient care, especially those related to specialized tests as these are often considered as "diagnostic". Controlling pre-analytical variables is critical since this has a direct influence on the quality of results and on their clinical reliability. The accurate standardization of the pre-analytical phase is of pivotal importance for achieving reliable results of coagulation tests and should reduce the side effects of the influence factors. This review is a summary of the most important recommendations regarding the importance of pre-analytical factors for coagulation testing and should be a tool to increase awareness about the importance of pre-analytical factors for coagulation testing.
Benenson, Irina; Jadotte, Yuri; Echevarria, Mercedes
2017-03-01
Painful vaso-occlusive crisis is a hallmark of sickle cell disease (SCD) that commonly results in utilization of hospital services. Recurrent use of hospital services by SCD patients is associated with high healthcare costs and adverse clinical outcomes. Understanding the factors influencing the pattern of utilization is a first step in improving medical care of this patient population while reducing healthcare expenditures. The primary objective of this systematic review was to determine what modifiable and non-modifiable factors influence utilization of hospital services by adult SCD patients. Adult SCD patients of both sexes who utilized hospital services for acute or emergency care. Non-modifiable and modifiable factors influencing utilization of hospital services. Prospective and retrospective cohort studies, case-control and analytical cross-sectional studies. The primary outcome of interest was high utilization of hospital services by adult SCD patients based on non-modifiable and modifiable factors measured as an odds ratio (analytical outcome). The secondary outcome was the prevalence of non-modifiable and modifiable factors among SCD patients who utilized hospital services measured as an event rate (descriptive outcome). A comprehensive multi-step search was undertaken to find both published and unpublished studies. Only studies published in the English language were included. The search was not limited by year of publication. Retrieved papers were assessed for methodological quality using standardized critical appraisal instruments from the Joanna Briggs Institute Meta Analysis of Statistics Assessment and Review Instrument. Data were extracted using a researcher-developed tool. Included studies were combined in a statistical meta-analysis. The meta-analysis was based on a random effect model. For studies that did not allow statistical pooling, the findings have been presented in a narrative form. Fourteen studies were included in this review. The analysis demonstrated that male patients accounted for 40.8% (95% confidence interval [CI] 0.370-0.447) of all utilizing patients. Sickle cell disease patients who were publically insured accounted for 76.5% (95% CI 0.632-0.861) of all patients who had hospital encounters. Patients aged 25-35 years had the highest rate of utilization, and the rate of utilization declined in patients older than 50 years. High utilizing patients had more diagnoses of acute chest syndrome and sepsis than patients who were moderate or low utilizers. The majority of SCD patients who utilized hospital services were women, young people and publically insured individuals. Patients with particularly high level of utilization had more frequent diagnoses of acute chest syndrome and sepsis.
Hastings, Ros; de Wert, Guido; Fowler, Brian; Krawczak, Michael; Vermeulen, Eric; Bakker, Egbert; Borry, Pascal; Dondorp, Wybo; Nijsingh, Niels; Barton, David; Schmidtke, Jörg; van El, Carla G; Vermeesch, Joris; Stol, Yrrah; Carmen Howard, Heidi; Cornel, Martina C
2012-01-01
The arrival of new genetic technologies that allow efficient examination of the whole human genome (microarray, next-generation sequencing) will impact upon both laboratories (cytogenetic and molecular genetics in the first instance) and clinical/medical genetic services. The interpretation of analytical results in terms of their clinical relevance and the predicted health status poses a challenge to both laboratory and clinical geneticists, due to the wealth and complexity of the information obtained. There is a need to discuss how to best restructure the genetic services logistically and to determine the clinical utility of genetic testing so that patients can receive appropriate advice and genetic testing. To weigh up the questions and challenges of the new genetic technologies, the European Society of Human Genetics (ESHG) held a series of workshops on 10 June 2010 in Gothenburg. This was part of an ESHG satellite symposium on the ‘Changing landscape of genetic testing', co-organized by the ESHG Genetic Services Quality and Public and Professional Policy Committees. The audience consisted of a mix of geneticists, ethicists, social scientists and lawyers. In this paper, we summarize the discussions during the workshops and present some of the identified ways forward to improve and adapt the genetic services so that patients receive accurate and relevant information. This paper covers ethics, clinical utility, primary care, genetic services and the blurring boundaries between healthcare and research. PMID:22453292
Improving trends in gender disparities in the Department of Veterans Affairs: 2008-2013.
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.
The Power of Service-Learning.
ERIC Educational Resources Information Center
McCarthy, Mary H.; Corbin, Linda
2003-01-01
Describes key elements of service learning: response to the community, student-led decision-making, analytical reflection. Includes a case study of service learning in the Hudson, Massachusetts, Public School District, the main goal of which is to provide students with opportunities to learn the core values of empathy, ethics, and service. (PKP)
Achieving Cost Reduction Through Data Analytics.
Rocchio, Betty Jo
2016-10-01
The reimbursement structure of the US health care system is shifting from a volume-based system to a value-based system. Adopting a comprehensive data analytics platform has become important to health care facilities, in part to navigate this shift. Hospitals generate plenty of data, but actionable analytics are necessary to help personnel interpret and apply data to improve practice. Perioperative services is an important revenue-generating department for hospitals, and each perioperative service line requires a tailored approach to be successful in managing outcomes and controlling costs. Perioperative leaders need to prepare to use data analytics to reduce variation in supplies, labor, and overhead. Mercy, based in Chesterfield, Missouri, adopted a perioperative dashboard that helped perioperative leaders collaborate with surgeons and perioperative staff members to organize and analyze health care data, which ultimately resulted in significant cost savings. Copyright © 2016 AORN, Inc. Published by Elsevier Inc. All rights reserved.
Safety and Suitability for Service Assessment Testing for Surface and Underwater Launched Munitions
2014-12-05
test efficiency that tend to associate the Analytical S3 Test Approach with large, complex munition systems and the Empirical S3 Test Approach with...the smaller, less complex munition systems . 8.1 ANALYTICAL S3 TEST APPROACH. The Analytical S3 test approach, as shown in Figure 3, evaluates...assets than the Analytical S3 Test approach to establish the safety margin of the system . This approach is generally applicable to small munitions
Patient compliance with telephone triage recommendations: a meta-analytic review.
Purc-Stephenson, Rebecca J; Thrasher, Christine
2012-05-01
To systematically investigate the extent to which patients comply with triage advice from telenurses and to identify factors that potentially influence compliance. Findings from 13 studies identified through interdisciplinary research databases (1990-2010) were meta-analyzed. Separate pooled analyses compared patients' compliance rates for emergency services and office care (13 outcomes), emergency services and self care (13 outcomes), and self care and office care (12 outcomes). Overall patient compliance was 62%, but varied by intensity of care recommended with low compliance rates for advice to see a general practitioner. Reasons for noncompliance include patients reporting to have heard a different disposition, patients' intentions and health beliefs. Patient compliance to triage recommendations was influenced by the interactive role of patient perceptions and the quality of provider communication, both of which were mediated by access to health services. Further research is needed to clarify whether noncompliance is attributable to poor communication by the nurse or patient misinterpretation. We highlight the need for communication-skills training in a telephone-consultation context that is patient centered, and specifically addresses building active listening and active advising skills and advantages to structuring the call. Crown Copyright © 2011. Published by Elsevier Ireland Ltd. All rights reserved.
The UKNEQAS scheme for cerebrospinal fluid haem pigments: a paradigm for service improvement.
Beetham, Robert; Egner, William; Patel, Dina
2011-11-01
We describe the programme of an established External Quality Assurance (EQA) provider and a Specialist Advisory Group (SAG) to develop a successful EQA scheme for cerebrospinal fluid (CSF) haem pigments as an example of a professionally led, unfunded initiative with the real potential to benefit patients. Within three years, we had assured sample stability, stoichiometry, and published best practice guidelines, enabling both analytical results and interpretation to be assessed and reported with an educative summary of the desired responses. Misclassification scoring of analysis and interpretation was introduced. Following audit, guidelines were modified and republished. The outcomes were as follows: Participant numbers increased from 63 at inception to 150 10 years later; The percentage of participants using visual inspection, a poor practice indicator, decreased from 27% to less than 1%; In all, 94-100% of participants consistently detected minor increases in bilirubin over the last four years of the scheme; More than 93% of participants were able to interpret analytical results linked to straightforward clinical scenarios; Misclassification scoring demonstrated that more complex scenarios repeatedly posed problems and is the next challenge to address. Scheme success is attributed to the experience of the operator and the formation of a voluntary expert advisory group, with both concerned to advance science and patient safety and thus contribute unpaid time and effort in order to succeed. In times of fiscal constraint, such resource may not be so readily available, yet is a vital part of continuous quality improvement for the benefit of patients.
Parés-Pollán, L; Gonzalez-Quintana, A; Docampo-Cordeiro, J; Vargas-Gallego, C; García-Álvarez, G; Ramos-Rodríguez, V; Diaz Rubio-García, M P
2014-01-01
Owing to the decrease in values of biochemical glucose parameter in some samples from external extraction centres, and the risk this implies to patient safety; it was decided to apply an adaptation of the «Health Services Failure Mode and Effects Analysis» (HFMEA) to manage risk during the pre-analytical phase of sample transportation from external centres to clinical laboratories. A retrospective study of glucose parameter was conducted during two consecutive months. The analysis was performed in its different phases: to define the HFMEA topic, assemble the team, graphically describe the process, conduct a hazard analysis, design the intervention and indicators, and identify a person to be responsible for ensuring completion of each action. The results of glucose parameter in one of the transport routes, were significantly lower (P=.006). The errors and potential causes of this problem were analysed, and criteria of criticality and detectability were applied (score≥8) in the decision tree. It was decided to: develop a document management system; reorganise extractions and transport routes in some centres; quality control of the sample container ice-packs, and the time and temperature during transportation. This work proposes quality indicators for controlling time and temperature of transported samples in the pre-analytical phase. Periodic review of certain laboratory parameters can help to detect problems in transporting samples. The HFMEA technique is useful for the clinical laboratory. Copyright © 2013 SECA. Published by Elsevier Espana. All rights reserved.
Assessment of COPD-related outcomes via a national electronic medical record database.
Asche, Carl; Said, Quayyim; Joish, Vijay; Hall, Charles Oaxaca; Brixner, Diana
2008-01-01
The technology and sophistication of healthcare utilization databases have expanded over the last decade to include results of lab tests, vital signs, and other clinical information. This review provides an assessment of the methodological and analytical challenges of conducting chronic obstructive pulmonary disease (COPD) outcomes research in a national electronic medical records (EMR) dataset and its potential application towards the assessment of national health policy issues, as well as a description of the challenges or limitations. An EMR database and its application to measuring outcomes for COPD are described. The ability to measure adherence to the COPD evidence-based practice guidelines, generated by the NIH and HEDIS quality indicators, in this database was examined. Case studies, before and after their publication, were used to assess the adherence to guidelines and gauge the conformity to quality indicators. EMR was the only source of information for pulmonary function tests, but low frequency in ordering by primary care was an issue. The EMR data can be used to explore impact of variation in healthcare provision on clinical outcomes. The EMR database permits access to specific lab data and biometric information. The richness and depth of information on "real world" use of health services for large population-based analytical studies at relatively low cost render such databases an attractive resource for outcomes research. Various sources of information exist to perform outcomes research. It is important to understand the desired endpoints of such research and choose the appropriate database source.
Jones, Graham R D; Albarede, Stephanie; Kesseler, Dagmar; MacKenzie, Finlay; Mammen, Joy; Pedersen, Morten; Stavelin, Anne; Thelen, Marc; Thomas, Annette; Twomey, Patrick J; Ventura, Emma; Panteghini, Mauro
2017-06-27
External Quality Assurance (EQA) is vital to ensure acceptable analytical quality in medical laboratories. A key component of an EQA scheme is an analytical performance specification (APS) for each measurand that a laboratory can use to assess the extent of deviation of the obtained results from the target value. A consensus conference held in Milan in 2014 has proposed three models to set APS and these can be applied to setting APS for EQA. A goal arising from this conference is the harmonisation of EQA APS between different schemes to deliver consistent quality messages to laboratories irrespective of location and the choice of EQA provider. At this time there are wide differences in the APS used in different EQA schemes for the same measurands. Contributing factors to this variation are that the APS in different schemes are established using different criteria, applied to different types of data (e.g. single data points, multiple data points), used for different goals (e.g. improvement of analytical quality; licensing), and with the aim of eliciting different responses from participants. This paper provides recommendations from the European Federation of Laboratory Medicine (EFLM) Task and Finish Group on Performance Specifications for External Quality Assurance Schemes (TFG-APSEQA) and on clear terminology for EQA APS. The recommended terminology covers six elements required to understand APS: 1) a statement on the EQA material matrix and its commutability; 2) the method used to assign the target value; 3) the data set to which APS are applied; 4) the applicable analytical property being assessed (i.e. total error, bias, imprecision, uncertainty); 5) the rationale for the selection of the APS; and 6) the type of the Milan model(s) used to set the APS. The terminology is required for EQA participants and other interested parties to understand the meaning of meeting or not meeting APS.
Measuring patient-perceived hospital service quality: a conceptual framework.
Pai, Yogesh P; Chary, Satyanarayana T
2016-04-18
Purpose - Although measuring healthcare service quality is not a new phenomenon, the instruments used to measure are timeworn. With the shift in focus to patient centric processes in hospitals and recognizing healthcare to be different compared to other services, service quality measurement needs to be tuned specifically to healthcare. The purpose of this paper is to design a conceptual framework for measuring patient perceived hospital service quality (HSQ), based on existing service quality literature. Design/methodology/approach - Using HSQ theories, expanding existing healthcare service models and literature, a conceptual framework is proposed to measure HSQ. The paper outlines patient perceived service quality dimensions. Findings - An instrument for measuring HSQ dimensions is developed and compared with other service quality measuring instruments. The latest dimensions are in line with previous studies, but a relationship dimension is added. Practical implications - The framework empowers managers to assess healthcare quality in corporate, public and teaching hospitals. Originality/value - The paper helps academics and practitioners to assess HSQ from a patient perspective.
DEMONSTRATION AND QUALITY ASSURANCE PROJECT ...
A demonstration of field portable/mobile technologies for measuring trace elements in soil and sediments was conducted under the U.S. Environmental Protection Agency Superfund Innovative Technology Evaluation (SITE) Program. The demonstration took place from January 24 to 28, 2005, at the Kennedy Athletic, Recreational and Social Park at Kennedy Space Center on Merritt Island, Florida. The purpose of the demonstration was to verify the performance of various instruments that employ X-ray fluorescence (XRF) measurement technologies for the determination of 13 toxic elements in a variety of soil and sediment samples. Instruments from the technology developers listed below were demonstrated. o Innov-X Systems, Inc.o NITON LLC (2 instruments ) o Oxford Instruments Portable Division (formerly Metorex, Inc.) .Oxford Instruments Analytical .Rigaku, Inc.o RONTEC USA Inc.o Xcalibur XRF Services Inc. (Division of Elvatech Ltd. ) This demonstration plan describes the procedures that will be used to verify the performance and cost of the XRF instruments provided by these technology developers. The plan incorporates the quality assurance and quality control elements needed to generate data of sufficient quality to perform this verification. A separate innovative technology verification report (ITVR) will be prepared for each instrument. The objective of this program is to promote the acceptance and use of innovative field technologies by providing well-documented perfor
Experiencing health care service quality: through patients' eyes.
Schembri, Sharon
2015-02-01
The primary aim of the present study was to consider health care service quality from the patients' perspective, specifically through the patient's eyes. A narrative analysis was performed on 300 patient stories. This rigorous analysis of patient stories is designed to identify and describe health care service quality through patients' eyes in an authentic and accurate, experiential manner. The findings show that there are variant and complex ways that patients experience health care service quality. Patient stories offer an authentic view of the complex ways that patients experience health care service quality. Narrative analysis is a useful tool to identify and describe how patients experience health care service quality. Patients experience health care service quality in complex and varying ways.
Patients’ perceptions of service quality in China: An investigation using the SERVQUAL model
Zhao, Shi-hong; Mu, Hui-tong; Li, Zhe; Shi, Lei; Wang, Ling-ling; Jia, Xiao-li; Ha, Min; Lou, Feng-ge
2017-01-01
Background and aim The doctor–patient relationship has been a major focus of society. Hospitals’ efforts to improve the quality of their medical services have been to reduce the probability of doctor–patient conflicts. In this study, we aimed to determine the gap between expectations and perceptions of service quality according to patients to provide reference data for creating strategies to improve health care quality. Methods Twenty–seven hospitals in 15 provinces (municipalities directly beneath the central government) were selected for our survey; we sent out 1,589 questionnaires, of which 1,520 were collected (response rate 95.65%) and 1,303 were valid (85.72% effective recovery rate). Paired t-tests were used to analyze whether there were significant differences between patients' expectations and perceived service quality. A binary logistic regression analysis was used to determine whether there were significant differences in the gap between expectation and perception of service quality according to patients' demographic characteristics. Results There was a significant difference between the expected and perceived service quality (p < 0.05) according to patients both before and after receiving medical services. Furthermore, the service quality gap of each service dimension was negative. Specifically, the gaps in service quality were as follows: economy, responsiveness, empathy, assurance, reliability, and tangibles. Overall, we can conclude that patients’ perceptions of service quality are lower than their expectations. Conclusions According to the study results, the quality of health care services as perceived by patients was lower than expected. Hospitals should make adjustments according to the actual situation and should strive to constantly improve the quality of medical services for patients. PMID:29272312
An Analytic Hierarchy Process for School Quality and Inspection: Model Development and Application
ERIC Educational Resources Information Center
Al Qubaisi, Amal; Badri, Masood; Mohaidat, Jihad; Al Dhaheri, Hamad; Yang, Guang; Al Rashedi, Asma; Greer, Kenneth
2016-01-01
Purpose: The purpose of this paper is to develop an analytic hierarchy planning-based framework to establish criteria weights and to develop a school performance system commonly called school inspections. Design/methodology/approach: The analytic hierarchy process (AHP) model uses pairwise comparisons and a measurement scale to generate the…
De Regge, Melissa; De Groote, Hélène; Trybou, Jeroen; Gemmel, Paul; Brugada, Pedro
2017-04-01
Health care organizations are constantly looking for ways to establish a differential advantage to attract customers. To this end, service quality has become an important differentiator in the strategy of health care organizations. In this study, we compared the service quality and patient experience in an ambulatory care setting of a physician-owned specialized facility with that of a general hospital. A comparative case study with a mixed method design was employed. Data were gathered through a survey on health service quality and patient experience, completed with observations, walkthroughs, and photographic material. Service quality and patient experiences are high in both the investigated health care facilities. A significant distinction can be made between the two facilities in terms of interpersonal quality (p = 0.001) and environmental quality (P ≤ 0.001), in favor of the medical center. The difference in environmental quality is also indicated by the scores given by participants who had been in both facilities. Qualitative analysis showed higher administrative quality in the medical center. Environmental quality and patient experience can predict the interpersonal quality; for environmental quality, interpersonal quality and age are significant predictors. Service quality and patient experiences are high in both facilities. The medical center has higher service quality for interpersonal and environmental service quality and is more process-centered.
Applications of Business Analytics in Healthcare.
Ward, Michael J; Marsolo, Keith A; Froehle, Craig M
2014-09-01
The American healthcare system is at a crossroads, and analytics, as an organizational skill, figures to play a pivotal role in its future. As more healthcare systems capture information electronically and as they begin to collect more novel forms of data, such as human DNA, how will we leverage these resources and use them to improve human health at a manageable cost? In this article, we argue that analytics will play a fundamental role in the transformation of the American healthcare system. However, there are numerous challenges to the application and use of analytics, namely the lack of data standards, barriers to the collection of high-quality data, and a shortage of qualified personnel to conduct such analyses. There are also multiple managerial issues, such as how to get end users of electronic data to employ it consistently for improving healthcare delivery, and how to manage the public reporting and sharing of data. In this article, we explore applications of analytics in healthcare, barriers and facilitators to its widespread adoption, and how analytics can help us achieve the goals of the modern healthcare system: high-quality, responsive, affordable, and efficient care.
External Standards or Standard Addition? Selecting and Validating a Method of Standardization
NASA Astrophysics Data System (ADS)
Harvey, David T.
2002-05-01
A common feature of many problem-based laboratories in analytical chemistry is a lengthy independent project involving the analysis of "real-world" samples. Students research the literature, adapting and developing a method suitable for their analyte, sample matrix, and problem scenario. Because these projects encompass the complete analytical process, students must consider issues such as obtaining a representative sample, selecting a method of analysis, developing a suitable standardization, validating results, and implementing appropriate quality assessment/quality control practices. Most textbooks and monographs suitable for an undergraduate course in analytical chemistry, however, provide only limited coverage of these important topics. The need for short laboratory experiments emphasizing important facets of method development, such as selecting a method of standardization, is evident. The experiment reported here, which is suitable for an introductory course in analytical chemistry, illustrates the importance of matrix effects when selecting a method of standardization. Students also learn how a spike recovery is used to validate an analytical method, and obtain a practical experience in the difference between performing an external standardization and a standard addition.
Applications of Business Analytics in Healthcare
Ward, Michael J.; Marsolo, Keith A.
2014-01-01
The American healthcare system is at a crossroads, and analytics, as an organizational skill, figures to play a pivotal role in its future. As more healthcare systems capture information electronically and as they begin to collect more novel forms of data, such as human DNA, how will we leverage these resources and use them to improve human health at a manageable cost? In this article, we argue that analytics will play a fundamental role in the transformation of the American healthcare system. However, there are numerous challenges to the application and use of analytics, namely the lack of data standards, barriers to the collection of high-quality data, and a shortage of qualified personnel to conduct such analyses. There are also multiple managerial issues, such as how to get end users of electronic data to employ it consistently for improving healthcare delivery, and how to manage the public reporting and sharing of data. In this article, we explore applications of analytics in healthcare, barriers and facilitators to its widespread adoption, and how analytics can help us achieve the goals of the modern healthcare system: high-quality, responsive, affordable, and efficient care. PMID:25429161
ERIC Educational Resources Information Center
Yoon, Heojeong; Woo, Ae Ja; Treagust, David; Chandrasegaran, A. L.
2014-01-01
The efficacy of problem-based learning (PBL) in an analytical chemistry laboratory course was studied using a programme that was designed and implemented with 20 students in a treatment group over 10 weeks. Data from 26 students in a traditional analytical chemistry laboratory course were used for comparison. Differences in the creative thinking…
Tshitenge, Dieudonné Tshitenge; Ioset, Karine Ndjoko; Lami, José Nzunzu; Ndelo-di-Phanzu, Josaphat; Mufusama, Jean-Pierre Koy Sita; Bringmann, Gerhard
2016-04-01
Herbal medicines are the most globally used type of medical drugs. Their high cultural acceptability is due to the experienced safety and efficiency over centuries of use. Many of them are still phytochemically less-investigated, and are used without standardization or quality control. Choosing SIROP KILMA, an authorized Congolese antimalarial phytomedicine, as a model case, our study describes an interdisciplinary approach for a rational quality assessment of herbal drugs in general. It combines an authentication step of the herbal remedy prior to any fingerprinting, the isolation of the major constituents, the development and validation of an HPLC-DAD analytical method with internal markers, and the application of the method to several batches of the herbal medicine (here KILMA) thus permitting the establishment of a quantitative fingerprint. From the constitutive plants of KILMA, acteoside, isoacteoside, stachannin A, and pectolinarigenin-7-O-glucoside were isolated, and acteoside was used as the prime marker for the validation of an analytical method. This study contributes to the efforts of the WHO for the establishment of standards enabling the analytical evaluation of herbal materials. Moreover, the paper describes the first phytochemical and analytical report on a marketed Congolese phytomedicine. Copyright © 2016 Elsevier B.V. All rights reserved.
Stockdale, Susan E; Zuchowski, Jessica; Rubenstein, Lisa V; Sapir, Negar; Yano, Elizabeth M; Altman, Lisa; Fickel, Jacqueline J; McDougall, Skye; Dresselhaus, Timothy; Hamilton, Alison B
Although the patient-centered medical home endorses quality improvement principles, methods for supporting ongoing, systematic primary care quality improvement have not been evaluated. We introduced primary care quality councils at six Veterans Health Administration sites as an organizational intervention with three key design elements: (a) fostering interdisciplinary quality improvement leadership, (b) establishing a structured quality improvement process, and (c) facilitating organizationally aligned frontline quality improvement innovation. Our evaluation objectives were to (a) assess design element implementation, (b) describe implementation barriers and facilitators, and (c) assess successful quality improvement project completion and spread. We analyzed administrative records and conducted interviews with 85 organizational leaders. We developed and applied criteria for assessing design element implementation using hybrid deductive/inductive analytic techniques. All quality councils implemented interdisciplinary leadership and a structured quality improvement process, and all but one completed at least one quality improvement project and a toolkit for spreading improvements. Quality councils were perceived as most effective when service line leaders had well-functioning interdisciplinary communication. Matching positions within leadership hierarchies with appropriate supportive roles facilitated frontline quality improvement efforts. Two key resources were (a) a dedicated internal facilitator with project management, data collection, and presentation skills and (b) support for preparing customized data reports for identifying and addressing practice level quality issues. Overall, quality councils successfully cultivated interdisciplinary, multilevel primary care quality improvement leadership with accountability mechanisms and generated frontline innovations suitable for spread. Practice level performance data and quality improvement project management support were critical. In order to successfully facilitate systematic, sustainable primary care quality improvement, regional and executive health care system leaders should engage interdisciplinary practice level leadership in a priority-setting process that encourages frontline innovation and establish local structures such as quality councils to coordinate quality improvement initiatives, ensure accountability, and promote spread of best practices.
Mission-Related Execution and Planning Through Quality of Service Methods
2010-06-01
which maximizes a mission effectiveness functions is the ideal driver of QoS mechanisms. Service Quality Quality of Service may also exist in other...However, service quality is the originating concept of QoS and is the level of performance which one entity expects from another, including non-IT SoSs... Service quality may also be reflected in the context of a system’s purpose or an organization’s mission. Putting level of service values and
Non-Academic Service Quality: Comparative Analysis of Students and Faculty as Users
ERIC Educational Resources Information Center
Sharif, Khurram; Kassim, Norizan Mohd
2012-01-01
The research focus was a non-academic service quality assessment within higher education. In particular, non-academic service quality perceptions of faculty and students were evaluated using a service profit chain. This enabled a comparison which helped understanding of non-academic service quality orientation from a key users' perspective. Data…
Vandenberg, Olivier; Kozlakidis, Zisis; Schrenzel, Jacques; Struelens, Marc Jean; Breuer, Judith
2018-01-01
Many new innovative diagnostic approaches have been made available during the last 10 years with major impact on patient care and public health surveillance. In parallel, to enhance the cost-effectiveness of the clinical microbiology laboratories (CMLs), European laboratory professionals have streamlined their organization leading to amalgamation of activities and restructuring of their professional relationships with clinicians and public health specialists. Through this consolidation process, an operational model has emerged that combines large centralized clinical laboratories performing most tests on one high-throughput analytical platform connected to several distal laboratories dealing locally with urgent analyses at near point of care. The centralization of diagnostic services over a large geographical region has given rise to the concept of regional-scale "microbiology laboratories network." Although the volume-driven cost savings associated with such laboratory networks seem self-evident, the consequence(s) for the quality of patient care and infectious disease surveillance and control remain less obvious. In this article, we describe the range of opportunities that the changing landscape of CMLs in Europe can contribute toward improving the quality of patient care but also the early detection and enhanced surveillance of public health threats caused by infectious diseases. The success of this transformation of health services is reliant on the appropriate preparation in terms of staff, skills, and processes that would be inclusive of stakeholders. In addition, rigorous metrics are needed to set out more concrete laboratory service performance objectives and assess the expected benefits to society in terms of saving lives and preventing diseases.
Experienced and potential medical tourists' service quality expectations.
Guiry, Michael; Scott, Jeannie J; Vequist, David G
2013-01-01
The paper's aim is to compare experienced and potential US medical tourists' foreign health service-quality expectations. Data were collected via an online survey involving 1,588 US consumers engaging or expressing an interest in medical tourism. The sample included 219 experienced and 1,369 potential medical tourists. Respondents completed a SERVQUAL questionnaire. Mann-Whitney U-tests were used to determine significant differences between experienced and potential US medical tourists' service-quality expectations. For all five service-quality dimensions (tangibles, reliability, responsiveness, assurance and empathy) experienced medical tourists had significantly lower expectations than potential medical tourists. Experienced medical tourists also had significantly lower service-quality expectations than potential medical tourists for 11 individual SERVQUAL items. Results suggest using experience level to segment medical tourists. The study also has implications for managing medical tourist service-quality expectations at service delivery point and via external marketing communications. Managing medical tourists' service quality expectations is important since expectations can significantly influence choice processes, their experience and post-consumption behavior. This study is the first to compare experienced and potential US medical tourist service-quality expectations. The study establishes a foundation for future service-quality expectations research in the rapidly growing medical tourism industry.
Chandra-Mouli, Venkatraman; Chatterjee, Subidita; Bose, Krishna
2016-02-06
Researchers and implementers working in adolescent health, and adolescents themselves question whether government-run health services in conservative and resource-constrained settings can be made adolescent friendly. This paper aims to find out what selected low and middle income country (LMIC) governments have set out to do to improve the quality of health service provision to adolescents; whether their efforts led to measurable improvements in quality and to increased health service-utilization by adolescents. We gathered normative guidance and reports from eight LMICs in Asia, Africa, Central and Eastern Europe and the Western Pacific. We analysed national quality standards for adolescent friendly health services, findings from the assessments of the quality of health service provision, and findings on the utilization of health services. Governments of LMICs have set out to improve the accessibility, acceptability, equity, appropriateness and effectiveness of health service provision to adolescents by defining standards and actions to achieve them. Their actions have led to measurable improvements in quality and to increases in health service utilisation by adolescents. With support, government-run health facilities in LMICs can improve the quality of health services and their utilization by adolescents.
1995-05-01
based upon the variables ’ service quality ’ and ’customer satisfaction.’ Service quality was operationally defined as a gap score by subtracting...regression analysis, a statistically significant relationship was shown to exist: (1) between customer satisfaction and service quality , t(387)=13.566... service quality , customer satisfaction and future choice behavior may assist in preparation for the TRICARE initiative.
Design and Testing of an Air Force Services Mystery Shopping Program.
1998-11-01
Base level Air Force Services’ lodging and foodservice activities use limited service quality measurement tools to determine customer perceptions of... service quality . These tools, specifically management observation and customer comment cards, do not provide a complete picture of service quality . Other... service quality measurement methods such as mystery shopping are rarely used. Bases do not consider using mystery shopping programs because of the
CREATE-IP and CREATE-V: Data and Services Update
NASA Astrophysics Data System (ADS)
Carriere, L.; Potter, G. L.; Hertz, J.; Peters, J.; Maxwell, T. P.; Strong, S.; Shute, J.; Shen, Y.; Duffy, D.
2017-12-01
The NASA Center for Climate Simulation (NCCS) at the Goddard Space Flight Center and the Earth System Grid Federation (ESGF) are working together to build a uniform environment for the comparative study and use of a group of reanalysis datasets of particular importance to the research community. This effort is called the Collaborative REAnalysis Technical Environment (CREATE) and it contains two components: the CREATE-Intercomparison Project (CREATE-IP) and CREATE-V. This year's efforts included generating and publishing an atmospheric reanalysis ensemble mean and spread and improving the analytics available through CREATE-V. Related activities included adding access to subsets of the reanalysis data through ArcGIS and expanding the visualization tool to GMAO forecast data. This poster will present the access mechanisms to this data and use cases including example Jupyter Notebook code. The reanalysis ensemble was generated using two methods, first using standard Python tools for regridding, extracting levels and creating the ensemble mean and spread on a virtual server in the NCCS environment. The second was using a new analytics software suite, the Earth Data Analytics Services (EDAS), coupled with a high-performance Data Analytics and Storage System (DASS) developed at the NCCS. Results were compared to validate the EDAS methodologies, and the results, including time to process, will be presented. The ensemble includes selected 6 hourly and monthly variables, regridded to 1.25 degrees, with 24 common levels used for the 3D variables. Use cases for the new data and services will be presented, including the use of EDAS for the backend analytics on CREATE-V, the use of the GMAO forecast aerosol and cloud data in CREATE-V, and the ability to connect CREATE-V data to NCCS ArcGIS services.
Analytical Utility of Campylobacter Methodologies
USDA-ARS?s Scientific Manuscript database
The National Advisory Committee on Microbiological Criteria for Foods (NACMCF, or the Committee) was asked to address the analytical utility of Campylobacter methodologies in preparation for an upcoming United States Food Safety and Inspection Service (FSIS) baseline study to enumerate Campylobacter...
A Multiple-Item Scale for Assessing E-Government Service Quality
NASA Astrophysics Data System (ADS)
Papadomichelaki, Xenia; Mentzas, Gregoris
A critical element in the evolution of e-governmental services is the development of sites that better serve the citizens’ needs. To deliver superior service quality, we must first understand how citizens perceive and evaluate online citizen service. This involves defining what e-government service quality is, identifying its underlying dimensions, and determining how it can be conceptualized and measured. In this article we conceptualise an e-government service quality model (e-GovQual) and then we develop, refine, validate, confirm and test a multiple-item scale for measuring e-government service quality for public administration sites where citizens seek either information or services.
Werner, S.L.; Johnson, S.M.
1994-01-01
As part of its primary responsibility concerning water as a national resource, the U.S. Geological Survey collects and analyzes samples of ground water and surface water to determine water quality. This report describes the method used since June 1987 to determine selected total-recoverable carbamate pesticides present in water samples. High- performance liquid chromatography is used to separate N-methyl carbamates, N-methyl carbamoyloximes, and an N-phenyl carbamate which have been extracted from water and concentrated in dichloromethane. Analytes, surrogate compounds, and reference compounds are eluted from the analytical column within 25 minutes. Two modes of analyte detection are used: (1) a photodiode-array detector measures and records ultraviolet-absorbance profiles, and (2) a fluorescence detector measures and records fluorescence from an analyte derivative produced when analyte hydrolysis is combined with chemical derivatization. Analytes are identified and confirmed in a three-stage process by use of chromatographic retention time, ultraviolet (UV) spectral comparison, and derivatization/fluorescence detection. Quantitative results are based on the integration of single-wavelength UV-absorbance chromatograms and on comparison with calibration curves derived from external analyte standards that are run with samples as part of an instrumental analytical sequence. Estimated method detection limits vary for each analyte, depending on the sample matrix conditions, and range from 0.5 microgram per liter to as low as 0.01 microgram per liter. Reporting levels for all analytes have been set at 0.5 microgram per liter for this method. Corrections on the basis of percentage recoveries of analytes spiked into distilled water are not applied to values calculated for analyte concentration in samples. These values for analyte concentrations instead indicate the quantities recovered by the method from a particular sample matrix.
O'Malley, A James; Zaslavsky, Alan M; Hays, Ron D; Hepner, Kimberly A; Keller, San; Cleary, Paul D
2005-01-01
Objectives To estimate the associations among hospital-level scores from the Consumer Assessments of Healthcare Providers and Systems (CAHPS®) Hospital pilot survey within and across different services (surgery, obstetrics, medical), and to evaluate differences between hospital- and patient-level analyses. Data Source CAHPS Hospital pilot survey data provided by the Centers for Medicare and Medicaid Services. Study Design Responses to 33 questionnaire items were analyzed using patient- and hospital-level exploratory factor analytic (EFA) methods to identify both a patient-level and hospital-level composite structures for the CAHPS Hospital survey. The latter EFA was corrected for patient-level sampling variability using a hierarchical model. We compared results of these analyses with each other and to separate EFAs conducted at the service level. To quantify the similarity of assessments across services, we compared correlations of different composites within the same service with those of the same composite across different services. Data Collection Cross-sectional data were collected during the summer of 2003 via mail and telephone from 19,720 patients discharged from November 2002 through January 2003 from 132 hospitals in three states. Principal Findings Six factors provided the best description of inter-item covariation at the patient level. Analyses that assessed variability across both services and hospitals suggested that three dimensions provide a parsimonious summary of inter-item covariation at the hospital level. Hospital-level factor structures also differed across services; as much variation in quality reports was explained by service as by composite. Conclusions Variability of CAHPS scores across hospitals can be reported parsimoniously using a limited number of composites. There is at least as much distinct information in composite scores from different services as in different composite scores within each service. Because items cluster slightly differently in the different services, service-specific composites may be more informative when comparing patients in a given service across hospitals. When studying individual-level variability, a more differentiated structure is probably more appropriate. PMID:16316439
Kinsinger, Christopher R.; Apffel, James; Baker, Mark; Bian, Xiaopeng; Borchers, Christoph H.; Bradshaw, Ralph; Brusniak, Mi-Youn; Chan, Daniel W.; Deutsch, Eric W.; Domon, Bruno; Gorman, Jeff; Grimm, Rudolf; Hancock, William; Hermjakob, Henning; Horn, David; Hunter, Christie; Kolar, Patrik; Kraus, Hans-Joachim; Langen, Hanno; Linding, Rune; Moritz, Robert L.; Omenn, Gilbert S.; Orlando, Ron; Pandey, Akhilesh; Ping, Peipei; Rahbar, Amir; Rivers, Robert; Seymour, Sean L.; Simpson, Richard J.; Slotta, Douglas; Smith, Richard D.; Stein, Stephen E.; Tabb, David L.; Tagle, Danilo; Yates, John R.; Rodriguez, Henry
2011-01-01
Policies supporting the rapid and open sharing of proteomic data are being implemented by the leading journals in the field. The proteomics community is taking steps to ensure that data are made publicly accessible and are of high quality, a challenging task that requires the development and deployment of methods for measuring and documenting data quality metrics. On September 18, 2010, the U.S. National Cancer Institute (NCI) convened the “International Workshop on Proteomic Data Quality Metrics” in Sydney, Australia, to identify and address issues facing the development and use of such methods for open access proteomics data. The stakeholders at the workshop enumerated the key principles underlying a framework for data quality assessment in mass spectrometry data that will meet the needs of the research community, journals, funding agencies, and data repositories. Attendees discussed and agreed up on two primary needs for the wide use of quality metrics: (1) an evolving list of comprehensive quality metrics and (2) standards accompanied by software analytics. Attendees stressed the importance of increased education and training programs to promote reliable protocols in proteomics. This workshop report explores the historic precedents, key discussions, and necessary next steps to enhance the quality of open access data. By agreement, this article is published simultaneously in the Journal of Proteome Research, Molecular and Cellular Proteomics, Proteomics, and Proteomics Clinical Applications as a public service to the research community. The peer review process was a coordinated effort conducted by a panel of referees selected by the journals. PMID:22053864
Kinsinger, Christopher R.; Apffel, James; Baker, Mark; Bian, Xiaopeng; Borchers, Christoph H.; Bradshaw, Ralph; Brusniak, Mi-Youn; Chan, Daniel W.; Deutsch, Eric W.; Domon, Bruno; Gorman, Jeff; Grimm, Rudolf; Hancock, William; Hermjakob, Henning; Horn, David; Hunter, Christie; Kolar, Patrik; Kraus, Hans-Joachim; Langen, Hanno; Linding, Rune; Moritz, Robert L.; Omenn, Gilbert S.; Orlando, Ron; Pandey, Akhilesh; Ping, Peipei; Rahbar, Amir; Rivers, Robert; Seymour, Sean L.; Simpson, Richard J.; Slotta, Douglas; Smith, Richard D.; Stein, Stephen E.; Tabb, David L.; Tagle, Danilo; Yates, John R.; Rodriguez, Henry
2011-01-01
Policies supporting the rapid and open sharing of proteomic data are being implemented by the leading journals in the field. The proteomics community is taking steps to ensure that data are made publicly accessible and are of high quality, a challenging task that requires the development and deployment of methods for measuring and documenting data quality metrics. On September 18, 2010, the United States National Cancer Institute convened the “International Workshop on Proteomic Data Quality Metrics” in Sydney, Australia, to identify and address issues facing the development and use of such methods for open access proteomics data. The stakeholders at the workshop enumerated the key principles underlying a framework for data quality assessment in mass spectrometry data that will meet the needs of the research community, journals, funding agencies, and data repositories. Attendees discussed and agreed up on two primary needs for the wide use of quality metrics: 1) an evolving list of comprehensive quality metrics and 2) standards accompanied by software analytics. Attendees stressed the importance of increased education and training programs to promote reliable protocols in proteomics. This workshop report explores the historic precedents, key discussions, and necessary next steps to enhance the quality of open access data. By agreement, this article is published simultaneously in the Journal of Proteome Research, Molecular and Cellular Proteomics, Proteomics, and Proteomics Clinical Applications as a public service to the research community. The peer review process was a coordinated effort conducted by a panel of referees selected by the journals. PMID:22052993
Using mobile technology to improve healthcare service quality.
Chao, Chia Chen; Jen, Wen Yuan; Li, Yu-Chuan; Chi, Y P; Chen, Chang-I; Feng, Chen Chjeh
2005-01-01
Improving healthcare service quality for illness of treatment, illness prevention and patient service is difficult for most hospitals because the hospitals are lack adequate resources and labor. In order to provide better healthcare service quality for patients, mobile technology can be used to manage healthcare in a way that provides the optimal healthcare service for patients. Pursuing utilization of mobile technology for better patient service, Taipei Medical University Municipal W. F. Teaching Hospital has implemented a mobile healthcare service (m-HS) system to increase healthcare service quality. The m-HS system improves the quality of medical care as well as healthcare service. The m-HS is a multi-functional healthcare management agent, meets the mobile tendency of the present society. This study seeks to discuss the m-HS architecture and workflow processes. We believe the m-HS does have the potential to improve healthcare service quality. Finally, the conclusions and suggestions for the m-HS are given.
Analytical techniques: A compilation
NASA Technical Reports Server (NTRS)
1975-01-01
A compilation, containing articles on a number of analytical techniques for quality control engineers and laboratory workers, is presented. Data cover techniques for testing electronic, mechanical, and optical systems, nondestructive testing techniques, and gas analysis techniques.
Møller, Mette F; Søndergaard, Tove R; Kristensen, Helle T; Münster, Anna-Marie B
2017-09-01
Background Centrifugation of blood samples is an essential preanalytical step in the clinical biochemistry laboratory. Centrifugation settings are often altered to optimize sample flow and turnaround time. Few studies have addressed the effect of altering centrifugation settings on analytical quality, and almost all studies have been done using collection tubes with gel separator. Methods In this study, we compared a centrifugation time of 5 min at 3000 × g to a standard protocol of 10 min at 2200 × g. Nine selected general chemistry and immunochemistry analytes and interference indices were studied in lithium heparin plasma tubes and serum tubes without gel separator. Results were evaluated using mean bias, difference plots and coefficient of variation, compared with maximum allowable bias and coefficient of variation used in laboratory routine quality control. Results For all analytes except lactate dehydrogenase, the results were within the predefined acceptance criteria, indicating that the analytical quality was not compromised. Lactate dehydrogenase showed higher values after centrifugation for 5 min at 3000 × g, mean bias was 6.3 ± 2.2% and the coefficient of variation was 5%. Conclusions We found that a centrifugation protocol of 5 min at 3000 × g can be used for the general chemistry and immunochemistry analytes studied, with the possible exception of lactate dehydrogenase, which requires further assessment.
A WebGIS-based system for analyzing and visualizing air quality data for Shanghai Municipality
NASA Astrophysics Data System (ADS)
Wang, Manyi; Liu, Chaoshun; Gao, Wei
2014-10-01
An online visual analytical system based on Java Web and WebGIS for air quality data for Shanghai Municipality was designed and implemented to quantitatively analyze and qualitatively visualize air quality data. By analyzing the architecture of WebGIS and Java Web, we firstly designed the overall scheme for system architecture, then put forward the software and hardware environment and also determined the main function modules for the system. The visual system was ultimately established with the DIV + CSS layout method combined with JSP, JavaScript, and some other computer programming languages based on the Java programming environment. Moreover, Struts, Spring, and Hibernate frameworks (SSH) were integrated in the system for the purpose of easy maintenance and expansion. To provide mapping service and spatial analysis functions, we selected ArcGIS for Server as the GIS server. We also used Oracle database and ESRI file geodatabase to store spatial data and non-spatial data in order to ensure the data security. In addition, the response data from the Web server are resampled to implement rapid visualization through the browser. The experimental successes indicate that this system can quickly respond to user's requests, and efficiently return the accurate processing results.
NASA Technical Reports Server (NTRS)
James, John T.
2001-01-01
The toxicological assessment of air samples returned at the end of the STS-100 (6A) flight to the ISS is reported. ISS air samples were taken in March and April 2001 from the Service Module, FGB, and U.S. Laboratory using grab sample canisters (GSCs) and/or formaldehyde badges. An unplanned "first-entry" sample of the MPLM2 (multipurpose logistics module) atmosphere was taken with a GSC, and preflight and end-of-mission samples were obtained from Endeavour using GSCs. Analytical methods have not changed from earlier reports, and all quality control measures were met for the data presented herein. The two general criteria used to assess air quality are the total-non-methane-volatile organic hydrocarbons (NMVOCs) and the total T-value (minus the CO2 and formaldehyde contribution). Because of the Freon 218 (octafluoropropane, OFP) leak, its contribution to the NMVOC is indicated in brackets. When comparing the NMVOC values with the 25 mg/cubic m guideline, the OFP contributions should be subtracted. Control of atmospheric alcohols is important to the water recovery system engineers, hence total alcohols were also assessed in each sample.
ERIC Educational Resources Information Center
Jenaro, C.; Vega, V.; Flores, N.; Cruz, M.
2013-01-01
Background: Concepts such as support, quality of life and quality of services are customary in services for people with intellectual disabilities. The identification of the different ways of conceiving, prioritising and implementing these concepts by service providers can help to drive changes to achieve better personal outcomes for this…
Quality of Care in the Social Services: Research Agenda and Methods
ERIC Educational Resources Information Center
McMillen, J. Curtis; Proctor, Enola K.; Megivern, Deborah; Striley, Catherine Woodstock; Cabassa, Leopoldo J.; Munson, Michelle R.; Dickey, Barbara
2005-01-01
In an era of heightened accountability, remarkably little is known empirically about the quality of social work services. This article applies insights from health services research to propose a research agenda on the quality of care in the social services. The agenda calls for studies that address the definition of quality service, variations in…
42 CFR 456.6 - Review by State medical agency of appropriateness and quality of services.
Code of Federal Regulations, 2010 CFR
2010-10-01
... and quality of services. 456.6 Section 456.6 Public Health CENTERS FOR MEDICARE & MEDICAID SERVICES... Provisions § 456.6 Review by State medical agency of appropriateness and quality of services. (a) The... professional health personnel of the appropriateness and quality of Medicaid services. (b) The purpose of this...
Determinants of stillbirths in Ghana: does quality of antenatal care matter?
Afulani, Patience A
2016-06-02
Each year, over two million babies die before they are born. Like maternal deaths, the great majority of these stillbirths occur in developing countries, with about a third of all cases worldwide in sub-Saharan Africa (SSA). Few studies have, however, examined the determinants of stillbirths in SSA. In addition, the emphases on promoting deliveries by skilled birth attendants and/or in health facilities to prevent maternal deaths, though important, may have undermined efforts to provide good quality antenatal care (ANC), which may have an additional role in preventing stillbirths. This study examines the factors associated with stillbirths in Ghana, focusing on the role of ANC quality. Data are from the Ghana Maternal Health Survey (N = 4,868)-a national survey of women of reproductive age. The main analysis includes women who had a pregnancy ending in a live birth or stillbirth in the five years preceding the survey and who received ANC at least once. ANC quality is measured by an index based on receipt (or otherwise) of nine antenatal services during the last pregnancy, including education about pregnancy complications; with receipt of at least of eight services classified as higher quality ANC. Stillbirths refer to babies born dead at seven or more months of pregnancy. Analytic techniques include multilevel logistic regression, with moderation and mediation analysis to examine conditional and intervening effects respectively. Higher quality ANC decreases the odds of a stillbirth by almost half after accounting for other factors, including the type of delivery provider and facility. Educating pregnant women about pregnancy complications contributes significantly to this difference by ANC quality. The type of delivery facility and provider account for a small proportion (14 %) of the ANC quality effect on stillbirths and a larger proportion of the rural/urban difference (27 %) in stillbirths. Completing the recommended four antenatal visits decreases the odds of a stillbirth. Having a pregnancy complication, a multiple gestation, a past stillbirth, or a sister who died from pregnancy complications increases the odds of a stillbirth. Good quality ANC can improve birth outcomes in two ways: directly through preventative measures, and indirectly through promoting deliveries in health facilities where complications can be better managed. Targeted programs and policies to increase ANC quality, including adequately educating women on pregnancy complications, will help improve birth outcomes in Ghana, and in SSA as a whole.
Analytical approaches to quality assurance and quality control in rangeland monitoring data
USDA-ARS?s Scientific Manuscript database
Producing quality data to support land management decisions is the goal of every rangeland monitoring program. However, the results of quality assurance (QA) and quality control (QC) efforts to improve data quality are rarely reported. The purpose of QA and QC is to prevent and describe non-sampling...
Remote measurements of water pollution with a lidar polarimeter
NASA Technical Reports Server (NTRS)
Sheives, T. C.; Rouse, J. W., Jr.; Mayo, W. T., Jr.
1974-01-01
This paper examines a dual polarization laser backscatter system as a method for remote measurements of certain water quality parameters. Analytical models for describing the backscatter from turbid water and oil on turbid water are presented and compared with experimental data. Laser backscatter field measurements from natural waterways are presented and compared with simultaneous ground observations of the water quality parameters: turbidity, suspended solids, and transmittance. The results of this study show that the analytical models appear valid and that the sensor investigated is applicable to remote measurements of these water quality parameters and oil spills on water.-
Quality Assessment of University Studies as a Service: Dimensions and Criteria
ERIC Educational Resources Information Center
Pukelyte, Rasa
2010-01-01
This article reviews a possibility to assess university studies as a service. University studies have to be of high quality both in their content and in the administrative level. Therefore, quality of studies as a service is an important constituent part of study quality assurance. When assessing quality of university studies as a service, it is…
Lynx web services for annotations and systems analysis of multi-gene disorders.
Sulakhe, Dinanath; Taylor, Andrew; Balasubramanian, Sandhya; Feng, Bo; Xie, Bingqing; Börnigen, Daniela; Dave, Utpal J; Foster, Ian T; Gilliam, T Conrad; Maltsev, Natalia
2014-07-01
Lynx is a web-based integrated systems biology platform that supports annotation and analysis of experimental data and generation of weighted hypotheses on molecular mechanisms contributing to human phenotypes and disorders of interest. Lynx has integrated multiple classes of biomedical data (genomic, proteomic, pathways, phenotypic, toxicogenomic, contextual and others) from various public databases as well as manually curated data from our group and collaborators (LynxKB). Lynx provides tools for gene list enrichment analysis using multiple functional annotations and network-based gene prioritization. Lynx provides access to the integrated database and the analytical tools via REST based Web Services (http://lynx.ci.uchicago.edu/webservices.html). This comprises data retrieval services for specific functional annotations, services to search across the complete LynxKB (powered by Lucene), and services to access the analytical tools built within the Lynx platform. © The Author(s) 2014. Published by Oxford University Press on behalf of Nucleic Acids Research.
NASA Astrophysics Data System (ADS)
Theresia, L.; Bangun, R.
2017-12-01
Universities should provide better service quality to get more customers. The purpose of this study was to find service quality which has impact on the increasing of customer satisfaction in a university. This study is a case study in Institut Teknologi Indonesia (ITI). The result of the study will help ITI to improve its service quality to increase customer satisfaction. This study employs path analysis technique. The data were collected through questionnaires developed from the literature. Questionnaires have two parts namely 1) service quality and 2) customer satisfaction. Service quality is measured through 22 questions with five service quality dimensions: 1) Tangibles, 2) Reliability, 3) Responsiveness, 4) Assurance and 5) Empathy. Customer Satisfaction is measured through 4 questions. The data then are processed by SPSS. The results showed that the students preferred to tangible quality improvement than intangible aspect.
7 CFR 868.90 - Fees for certain Federal inspection services.
Code of Federal Regulations, 2014 CFR
2014-01-01
... Laboratory Test Services 1 Laboratory tests Fees (1) Aflatoxin (Quantitative—HPLC) $182.00 (2) Aflatoxin (Quantitative—Test Kit) 87.00 (3) Aflatoxin (Qualitative—Test Kit) 47.00 (4) Appearance and odor 7.00 (5) Ash 17...) Vomitoxin (Quantitative—Test Kit) 81.00 (32) Other laboratory analytical services (per hour per service...
7 CFR 868.90 - Fees for certain Federal inspection services.
Code of Federal Regulations, 2011 CFR
2011-01-01
... Laboratory Test Services 1 Laboratory tests Fees (1) Aflatoxin (Quantitative—HPLC) $182.00 (2) Aflatoxin (Quantitative—Test Kit) 87.00 (3) Aflatoxin (Qualitative—Test Kit) 47.00 (4) Appearance and odor 7.00 (5) Ash 17...) Vomitoxin (Quantitative—Test Kit) 81.00 (32) Other laboratory analytical services (per hour per service...
7 CFR 868.90 - Fees for certain Federal inspection services.
Code of Federal Regulations, 2012 CFR
2012-01-01
... Laboratory Test Services 1 Laboratory tests Fees (1) Aflatoxin (Quantitative—HPLC) $182.00 (2) Aflatoxin (Quantitative—Test Kit) 87.00 (3) Aflatoxin (Qualitative—Test Kit) 47.00 (4) Appearance and odor 7.00 (5) Ash 17...) Vomitoxin (Quantitative—Test Kit) 81.00 (32) Other laboratory analytical services (per hour per service...
7 CFR 868.90 - Fees for certain Federal inspection services.
Code of Federal Regulations, 2013 CFR
2013-01-01
... Laboratory Test Services 1 Laboratory tests Fees (1) Aflatoxin (Quantitative—HPLC) $182.00 (2) Aflatoxin (Quantitative—Test Kit) 87.00 (3) Aflatoxin (Qualitative—Test Kit) 47.00 (4) Appearance and odor 7.00 (5) Ash 17...) Vomitoxin (Quantitative—Test Kit) 81.00 (32) Other laboratory analytical services (per hour per service...
[Real-time detection of quality of Chinese materia medica: strategy of NIR model evaluation].
Wu, Zhi-sheng; Shi, Xin-yuan; Xu, Bing; Dai, Xing-xing; Qiao, Yan-jiang
2015-07-01
The definition of critical quality attributes of Chinese materia medica ( CMM) was put forward based on the top-level design concept. Nowadays, coupled with the development of rapid analytical science, rapid assessment of critical quality attributes of CMM was firstly carried out, which was the secondary discipline branch of CMM. Taking near infrared (NIR) spectroscopy as an example, which is a rapid analytical technology in pharmaceutical process over the past decade, systematic review is the chemometric parameters in NIR model evaluation. According to the characteristics of complexity of CMM and trace components analysis, a multi-source information fusion strategy of NIR model was developed for assessment of critical quality attributes of CMM. The strategy has provided guideline for NIR reliable analysis in critical quality attributes of CMM.
21 CFR 862.1660 - Quality control material (assayed and unassayed).
Code of Federal Regulations, 2011 CFR
2011-04-01
... 21 Food and Drugs 8 2011-04-01 2011-04-01 false Quality control material (assayed and unassayed... Test Systems § 862.1660 Quality control material (assayed and unassayed). (a) Identification. A quality... that may arise from reagent or analytical instrument variation. A quality control material (assayed and...
DOE Office of Scientific and Technical Information (OSTI.GOV)
Engels, J.
The Environmental Restoration (ER) Program was established for the investigation and remediation of inactive US Department of Energy (DOE) sites and facilities that have been declared surplus in terms of their previous uses. The purpose of this document is to Specify ER requirements for quality control (QC) of analytical data. Activities throughout all phases of the investigation may affect the quality of the final data product, thus are subject to control specifications. Laboratory control is emphasized in this document, and field concerns will be addressed in a companion document Energy Systems, in its role of technical coordinator and at themore » request of DOE-OR, extends the application of these requirements to all participants in ER activities. Because every instance and concern may not be addressed in this document, participants are encouraged to discuss any questions with the ER Quality Assurance (QA) Office, the Analytical Environmental Support Group (AESG), or the Analytical Project Office (APO).« less
The CCLM contribution to improvements in quality and patient safety.
Plebani, Mario
2013-01-01
Clinical laboratories play an important role in improving patient care. The past decades have seen unbelievable, often unpredictable improvements in analytical performance. Although the seminal concept of the brain-to-brain laboratory loop has been described more than four decades ago, there is now a growing awareness about the importance of extra-analytical aspects in laboratory quality. According to this concept, all phases and activities of the testing cycle should be assessed, monitored and improved in order to decrease the total error rates thereby improving patients' safety. Clinical Chemistry and Laboratory Medicine (CCLM) not only has followed the shift in perception of quality in the discipline, but has been the catalyst for promoting a large debate on this topic, underlining the value of papers dealing with errors in clinical laboratories and possible remedies, as well as new approaches to the definition of quality in pre-, intra-, and post-analytical steps. The celebration of the 50th anniversary of the CCLM journal offers the opportunity to recall and mention some milestones in the approach to quality and patient safety and to inform our readers, as well as laboratory professionals, clinicians and all the stakeholders of the willingness of the journal to maintain quality issues as central to its interest even in the future.
Mottier, Nicolas; Tharin, Manuel; Cluse, Camille; Crudo, Jean-René; Lueso, María Gómez; Goujon-Ginglinger, Catherine G; Jaquier, Anne; Mitova, Maya I; Rouget, Emmanuel G R; Schaller, Mathieu; Solioz, Jennifer
2016-09-01
Studies in environmentally controlled rooms have been used over the years to assess the impact of environmental tobacco smoke on indoor air quality. As new tobacco products are developed, it is important to determine their impact on air quality when used indoors. Before such an assessment can take place it is essential that the analytical methods used to assess indoor air quality are validated and shown to be fit for their intended purpose. Consequently, for this assessment, an environmentally controlled room was built and seven analytical methods, representing eighteen analytes, were validated. The validations were carried out with smoking machines using a matrix-based approach applying the accuracy profile procedure. The performances of the methods were compared for all three matrices under investigation: background air samples, the environmental aerosol of Tobacco Heating System THS 2.2, a heat-not-burn tobacco product developed by Philip Morris International, and the environmental tobacco smoke of a cigarette. The environmental aerosol generated by the THS 2.2 device did not have any appreciable impact on the performances of the methods. The comparison between the background and THS 2.2 environmental aerosol samples generated by smoking machines showed that only five compounds were higher when THS 2.2 was used in the environmentally controlled room. Regarding environmental tobacco smoke from cigarettes, the yields of all analytes were clearly above those obtained with the other two air sample types. Copyright © 2016 The Authors. Published by Elsevier B.V. All rights reserved.
Ke, Quan; Luo, Weijie; Yan, Guozheng; Yang, Kai
2016-04-01
A wireless power transfer system based on the weakly inductive coupling makes it possible to provide the endoscope microrobot (EMR) with infinite power. To facilitate the patients' inspection with the EMR system, the diameter of the transmitting coil is enlarged to 69 cm. Due to the large transmitting range, a high quality factor of the Litz-wire transmitting coil is a necessity to ensure the intensity of magnetic field generated efficiently. Thus, this paper builds an analytical model of the transmitting coil, and then, optimizes the parameters of the coil by enlarging the quality factor. The lumped model of the transmitting coil includes three parameters: ac resistance, self-inductance, and stray capacitance. Based on the exact two-dimension solution, the accurate analytical expression of ac resistance is derived. Several transmitting coils of different specifications are utilized to verify this analytical expression, being in good agreements with the measured results except the coils with a large number of strands. Then, the quality factor of transmitting coils can be well predicted with the available analytical expressions of self- inductance and stray capacitance. Owing to the exact estimation of quality factor, the appropriate coil turns of the transmitting coil is set to 18-40 within the restrictions of transmitting circuit and human tissue issues. To supply enough energy for the next generation of the EMR equipped with a Ø9.5×10.1 mm receiving coil, the coil turns of the transmitting coil is optimally set to 28, which can transfer a maximum power of 750 mW with the remarkable delivering efficiency of 3.55%.
LABORATORY MISCONDUCT - WHAT CAN HAPPEN TO YOU?
Contracted laboratories perform a vast number of routine and special analytical services that are the foundation of decisions upon which rests the fate of the environment. Guiding these laboratories in the generation of environmental data has been the analytical protocols and ...
Effective interventions on service quality improvement in a physiotherapy clinic.
Gharibi, Farid; Tabrizi, JafarSadegh; Eteraf Oskouei, MirAli; AsghariJafarabadi, Mohammad
2014-01-01
Service quality is considered as a main domain of quality associ-ated with non-clinical aspect of healthcare. This study aimed to survey and im-proves service quality of delivered care in the Physiotherapy Clinic affiliated with the Tabriz University of Medical Sciences, Tabriz, Iran. A quasi experimental interventional study was conducted in the Physiotherapy Clinic, 2010-2011. Data were collected using a validated and reli-able researcher made questionnaire with participation of 324 patients and their coadjutors. The study questionnaire consisted of 7 questions about demographic factors and 38 questions for eleven aspects of service quality. Data were then analyzed using paired samples t-test by SPSS16. In the pre intervention phase, six aspects of service quality including choice of provider, safety, prevention and early detection, dignity, autonomy and availability achieved non-acceptable scores. Following interventions, all aspects of the service quality improved and also total service quality score improved from 8.58 to 9.83 (P<0.001). Service quality can be improved by problem implementation of appropriate interventions. The acquired results can be used in health system fields to create respectful environments for healthcare customers.
Service quality framework for clinical laboratories.
Ramessur, Vinaysing; Hurreeram, Dinesh Kumar; Maistry, Kaylasson
2015-01-01
The purpose of this paper is to illustrate a service quality framework that enhances service delivery in clinical laboratories by gauging medical practitioner satisfaction and by providing avenues for continuous improvement. The case study method has been used for conducting the exploratory study, with focus on the Mauritian public clinical laboratory. A structured questionnaire based on the SERVQUAL service quality model was used for data collection, analysis and for the development of the service quality framework. The study confirms the pertinence of the following service quality dimensions within the context of clinical laboratories: tangibility, reliability, responsiveness, turnaround time, technology, test reports, communication and laboratory staff attitude and behaviour. The service quality framework developed, termed LabSERV, is vital for clinical laboratories in the search for improving service delivery to medical practitioners. This is a pioneering work carried out in the clinical laboratory sector in Mauritius. Medical practitioner expectations and perceptions have been simultaneously considered to generate a novel service quality framework for clinical laboratories.
Distributor- Retailer Interface in Pharmaceutical Supply Chain: Service Quality Measurement Scale.
Mehralian, Gholamhossein; Babapour, Jafar; Peiravian, Farzad
2016-01-01
In the current competitive market, service quality management is the key to the survival and success of businesses. SERVQUAL is a popular service quality measurement scale (SQMS) that has served as a basis for subsequent research on service quality; it has been used for testing different aspects of service quality in a market. The purpose of our study is, therefore, to develop a service quality measurement scale (SQMS) for the distributor-retailer interface of Pharm supply chains (PSC) in Iran. A survey was performed to collect data from pharmacies located in Tehran. A valid and reliable questionnaire delivered to pharmacies, and 400 pharmacies were intended to participate in our survey. Confirmatory factor analysis (CFA) was used to develop an SQMS in this study. Sufficient sampling was undertaken to do CFA. Consistent with other service quality studies, this Res developed an SQMS with five dimensions and 20 items for PSC, and contributes to mangers to regularly measure service quality. This is an initial study to develop a framework for measuring service quality in Iranian PCS. The framework can be used effectively to achieve competitive advantage at the distributor-retailer interface.
The trust-commitment challenge in service quality-loyalty relationships.
Moreira, Antonio Carrizo; Silva, Pedro Miguel
2015-01-01
The purpose of this paper is to develop and empirically test a model to examine service quality, satisfaction, trust and commitment as loyalty antecedents in a private healthcare service. The approach was tested using structural equation modelling, involving 175 patients from a private Portuguese healthcare unit, using a revised Service Quality Assessment Scale (SQAS) scale for service quality evaluation. The scale used to evaluate service quality is valid and meaningful. Service quality proved to be a multidimensional construct and relevant to build satisfaction. The path satisfaction→trust→loyalty was validated, whereas the path satisfaction→commitment→loyalty was not statistically supported. The revised SQAS scale showed good internal consistency in healthcare context. Further trust-commitment antecedents must be examined in a private healthcare landscape to generalise the findings. Healthcare quality managers must explore the service quality dimensions to generate satisfaction among their patients. Developing trust generates positive patient attitudes and loyalty. This study explores using the SQAS scale in a private healthcare context. The authors provide further evidence that service quality is an antecedent and different from satisfaction. All the measures used proved to be valid and reliable. Trust and commitment play different roles in their relationship with loyalty.
Distributor– Retailer Interface in Pharmaceutical Supply Chain: Service Quality Measurement Scale
Mehralian, Gholamhossein; Babapour, Jafar; peiravian, farzad
2016-01-01
In the current competitive market, service quality management is the key to the survival and success of businesses. SERVQUAL is a popular service quality measurement scale (SQMS) that has served as a basis for subsequent research on service quality; it has been used for testing different aspects of service quality in a market. The purpose of our study is, therefore, to develop a service quality measurement scale (SQMS) for the distributor–retailer interface of Pharm supply chains (PSC) in Iran. A survey was performed to collect data from pharmacies located in Tehran. A valid and reliable questionnaire delivered to pharmacies, and 400 pharmacies were intended to participate in our survey. Confirmatory factor analysis (CFA) was used to develop an SQMS in this study. Sufficient sampling was undertaken to do CFA. Consistent with other service quality studies, this Res developed an SQMS with five dimensions and 20 items for PSC, and contributes to mangers to regularly measure service quality. This is an initial study to develop a framework for measuring service quality in Iranian PCS. The framework can be used effectively to achieve competitive advantage at the distributor–retailer interface. PMID:28243297
Ialongo, Cristiano; Bernardini, Sergio
2018-06-18
There is a compelling need for quality tools that enable effective control of the extra-analytical phase. In this regard, Six Sigma seems to offer a valid methodological and conceptual opportunity, and in recent times, the International Federation of Clinical Chemistry and Laboratory Medicine has adopted it for indicating the performance requirements for non-analytical laboratory processes. However, the Six Sigma implies a distinction between short-term and long-term quality that is based on the dynamics of the processes. These concepts are still not widespread and applied in the field of laboratory medicine although they are of fundamental importance to exploit the full potential of this methodology. This paper reviews the Six Sigma quality concepts and shows how they originated from Shewhart's control charts, in respect of which they are not an alternative but a completion. It also discusses the dynamic nature of process and how it arises, concerning particularly the long-term dynamic mean variation, and explains why this leads to the fundamental distinction of quality we previously mentioned.
ElMekawy, A; Hegab, H M; Pant, D; Saint, C P
2018-01-01
Globally, sustainable provision of high-quality safe water is a major challenge of the 21st century. Various chemical and biological monitoring analytics are presently utilized to guarantee the availability of high-quality water. However, these techniques still face some challenges including high costs, complex design and onsite and online limitations. The recent technology of using microbial fuel cell (MFC)-based biosensors holds outstanding potential for the rapid and real-time monitoring of water source quality. MFCs have the advantages of simplicity in design and efficiency for onsite sensing. Even though some sensing applications of MFCs were previously studied, e.g. biochemical oxygen demand sensor, recently numerous research groups around the world have presented new practical applications of this technique, which combine multidisciplinary scientific knowledge in materials science, microbiology and electrochemistry fields. This review presents the most updated research on the utilization of MFCs as potential biosensors for monitoring water quality and considers the range of potentially toxic analytes that have so far been detected using this methodology. The advantages of MFCs over established technology are also considered as well as future work required to establish their routine use. © 2017 The Society for Applied Microbiology.
Investigating Analytic Tools for e-Book Design in Early Literacy Learning
ERIC Educational Resources Information Center
Roskos, Kathleen; Brueck, Jeremy; Widman, Sarah
2009-01-01
Toward the goal of better e-book design to support early literacy learning, this study investigates analytic tools for examining design qualities of e-books for young children. Three research-based analytic tools related to e-book design were applied to a mixed genre collection of 50 e-books from popular online sites. Tool performance varied…
ERIC Educational Resources Information Center
Anderson, Craig A.; Shibuya, Akiko; Ihori, Nobuko; Swing, Edward L.; Bushman, Brad J.; Sakamoto, Akira; Rothstein, Hannah R.; Saleem, Muniba
2010-01-01
Meta-analytic procedures were used to test the effects of violent video games on aggressive behavior, aggressive cognition, aggressive affect, physiological arousal, empathy/desensitization, and prosocial behavior. Unique features of this meta-analytic review include (a) more restrictive methodological quality inclusion criteria than in past…
Service Quality: A Concept not Fully Explored.
ERIC Educational Resources Information Center
Hernon, Peter; Nitecki, Danuta A.
2001-01-01
Examines the concept of service quality in libraries. Highlights include assessment; service quality versus user satisfaction; measuring service quality, including SERVQUAL; planning; experiences at Texas A& M University in cooperation with ARL (Association of Research Libraries) that resulted in LibQUAL+; and conceptual issues. (Contains 54…
British Columbia Hospitals: examination and assessment of payment reform (B-CHeaPR)
2011-01-01
Background Accounting for 36% of public spending on health care in Canada, hospitals are a major target for cost reductions through various efficiency initiatives. Some provinces are considering payment reform as a vehicle to achieve this goal. With few exceptions, Canadian provinces have generally relied on global and line-item budgets to contain hospital costs. There is growing interest amongst policy-makers for using activity based funding (ABF) as means of creating financial incentives for hospitals to increase the 'volume' of care, reduce cost, discourage unnecessary activity, and encourage competition. British Columbia (B.C.) is the first province in Canada to implement ABF for partial reimbursement of acute hospitalization. To date, there have been no formal examinations of the effects of ABF policies in Canada. This study proposal addresses two research questions designed to determine whether ABF policies affect health system costs, access and hospital quality. The first question examines the impact of the hospital funding policy change on internal hospital activity based on expenditures and quality. The second question examines the impact of the change on non-hospital care, including readmission rates, amount of home care provided, and physician expenditures. Methods/Design A longitudinal study design will be used, incorporating comprehensive population-based datasets of all B.C. residents; hospital, continuing care and physician services datasets will also be used. Data will be linked across sources using anonymized linking variables. Analytic datasets will be created for the period between 2005/2006 and 2012/2013. Discussion With Canadian hospitals unaccustomed to detailed scrutiny of what services are provided, to whom, and with what results, the move toward ABF is significant. This proposed study will provide evidence on the impacts of ABF, including changes in the type, volume, cost, and quality of services provided. Policy- and decision-makers in B.C. and elsewhere in Canada will be able to use this evidence as a basis for policy adaptations and modifications. The significance of this proposed study derives from the fact that the change in hospital funding policy has the potential to affect health system costs, residents' access to care and care quality. PMID:21702947
Do Family Interventions Improve Outcomes in Early Psychosis? A Systematic Review and Meta-Analysis
Claxton, Melanie; Onwumere, Juliana; Fornells-Ambrojo, Miriam
2017-01-01
Family interventions for psychosis (FIp) are effective in reducing service user relapse and carer distress in people with schizophrenia-spectrum conditions. Several treatment and best practice guidelines recommend FIp for all people with schizophrenia. However, outcome findings in relation to early psychosis groups have been inconsistent. The current paper reports a systematic review and meta-analyses of articles that evaluated FIp in early psychosis with a clearly defined comparison group. A combination of electronic database searches (using PsychINFO, Medline, and CENTRAL), citation searches and hand searches of key journals and reviews was conducted. Peer-reviewed articles published in English from database inception to June 2016 were included. Methodological quality was assessed using the Effective Public Health Practice Project Quality Assessment Tool (EPHPP). Seventeen papers from 14 studies met inclusion criteria for review, the overall quality of which was moderate. Meta-analytic synthesis showed that FIp improved service user functioning and reduced the likelihood of relapse by the end of treatment. Psychotic symptoms were significantly reduced in the FIp group at follow up, but this was not evident at end of treatment. In terms of FIp target mechanisms, carers receiving FIp were more likely to shift from high to low expressed emotion and less likely to report patient focused criticism or engage in conflict communication than carers randomized to standard care. Carer burden and well-being were improved by the end of treatment but gains were not sustained at follow up. FIp had no impact on carer emotional over-involvement. The findings indicate that FIp is an effective intervention for early psychosis service users and their relatives. However, further research is required to establish which key therapeutic components of FIp are most effective for whom, in addition to understanding the mechanisms by which FIp might affect positive change. PMID:28396643
Application of Six Sigma Model to Evaluate the Analytical Quality of Four HbA1c Analyzers.
Maesa, Jos Eacute M; Fern Aacute Ndez-Riejos, Patricia; S Aacute Nchez-Mora, Catalina; Toro-Crespo, Mar Iacute A De; Gonz Aacute Lez-Rodriguez, Concepci Oacute N
2017-01-01
The Six Sigma Model is a global quality management system applicable to the determination of glycated hemoglobin (HbA1c). In addition, this model can ensure the three characteristics influencing the patient risk: the correct performance of the analytical method with low inaccuracy and bias, the quality control strategy used by the laboratory, and the necessary quality of the analyte. The aim of this study is to use the Six Sigma Model for evaluating quality criteria in the determination of glycated hemoglobin HbA1c and its application to assess four different HbA1c analyzers. Four HbA1c analyzers were evaluated: HA-8180V®, D-100®, G8®, and Variant II Turbo®. For 20 consecutive days, two levels of quality control (high and low) provided by the manufacturers were measured in each of the instruments. Imprecision (CV), bias, and Sigma values (σ) were calculated with the data obtained and a method decision chart was developed considering a range of quality requirements (allowable total error, TEa). For a TEa = 3%, HA-8180V = 1.54 σ, D-100 = 1.63 σ, G8 = 2.20 σ, and Variant II Turbo = -0.08 σ. For a TEa = 4%, HA-8180V = 2.34 σ, D-100 = 2.32 σ, G8 = 3.74 σ, and Variant II Turbo = 0.16 σ. For a TEa = 10%, HA8180V = 7.12 σ, D-100 = 6.46 σ, G8 = 13.0 σ, and Variant II Turbo = 1.56 σ. Applying the Stockholm consensus and its subsequent Milan review to the results: the maximum level in quality requirements for HbA1c is an allowable total error (TEa) = 3%, G8 is located in region 2 σ (2.20), which is a poor result, and HA-8180V and D-100 are both in region 1 σ (1.54 and 1.63, respectively), which is an unacceptable analytical performance.
Suh, Siri; Moreira, Philippe; Ly, Moussa
2007-11-29
In Senegal, traditional supervision often focuses more on collection of service statistics than on evaluation of service quality. This approach yields limited information on quality of care and does little to improve providers' competence. In response to this challenge, Management Sciences for Health (MSH) has implemented a program of formative supervision. This multifaceted, problem-solving approach collects data on quality of care, improves technical competence, and engages the community in improving reproductive health care. This study evaluated changes in service quality and community involvement after two rounds of supervision in 45 health facilities in four districts of Senegal. We used checklists to assess quality in four areas of service delivery: infrastructure, staff and services management, record-keeping, and technical competence. We also measured community involvement in improving service quality using the completion rates of action plans. The most notable improvement across regions was in infection prevention.Management of staff, services, and logistics also consistently improved across the four districts. Record-keeping skills showed variable but lower improvement by region. The completion rates of action plans suggest that communities are engaged in improving service quality in all four districts. Formative supervision can improve the quality of reproductive health services, especially in areas where there is on-site skill building and refresher training. This approach can also mobilize communities to participate in improving service quality.
Suh, Siri; Moreira, Philippe; Ly, Moussa
2007-01-01
Background In Senegal, traditional supervision often focuses more on collection of service statistics than on evaluation of service quality. This approach yields limited information on quality of care and does little to improve providers' competence. In response to this challenge, Management Sciences for Health (MSH) has implemented a program of formative supervision. This multifaceted, problem-solving approach collects data on quality of care, improves technical competence, and engages the community in improving reproductive health care. Methods This study evaluated changes in service quality and community involvement after two rounds of supervision in 45 health facilities in four districts of Senegal. We used checklists to assess quality in four areas of service delivery: infrastructure, staff and services management, record-keeping, and technical competence. We also measured community involvement in improving service quality using the completion rates of action plans. Results The most notable improvement across regions was in infection prevention. Management of staff, services, and logistics also consistently improved across the four districts. Record-keeping skills showed variable but lower improvement by region. The completion rates of action plans suggest that communities are engaged in improving service quality in all four districts. Conclusion Formative supervision can improve the quality of reproductive health services, especially in areas where there is on-site skill building and refresher training. This approach can also mobilize communities to participate in improving service quality. PMID:18047678
NASA Astrophysics Data System (ADS)
Lipenbergs, E.; Bobrovs, Vj.; Ivanovs, G.
2016-10-01
To ensure that end-users and consumers have access to comprehensive, comparable and user-friendly information regarding the Internet access service quality, it is necessary to implement and regularly renew a set of legislative regulatory acts and to provide monitoring of the quality of Internet access services regarding the current European Regulatory Framework. The actual situation regarding the quality of service monitoring solutions in different European countries depends on national regulatory initiatives and public awareness. The service monitoring solutions are implemented using different measurement methodologies and tools. The paper investigates the practical implementations for developing a harmonising approach to quality monitoring in order to obtain objective information on the quality of Internet access services on mobile networks.
Humanistic burden of disease for patients with advanced melanoma in Canada.
Cheung, Winson Y; Bayliss, Martha S; White, Michelle K; Stroupe, Angela; Lovley, Andrew; King-Kallimanis, Bellinda L; Lasch, Kathryn
2018-06-01
Metastatic melanoma is a highly aggressive cancer, often striking in the prime of life. This study provides new information directly from advanced melanoma (stage III and IV) patients on how their disease impacts their health-related quality of life (HRQL). Twenty-nine in-depth, qualitative interviews were conducted with adult patients with advanced melanoma in Canada. A semi-structured interview guide was used. Interviews were transcribed verbatim and key concepts were identified using a grounded theory analytic approach. Many patients' journeys began with the startling diagnosis of an invasive disease and a vastly shortened life expectancy. By the time they reached an advanced stage of melanoma, these patients' overall functioning and quality of life had been greatly diminished by this quickly progressing cancer. The impact was described in terms of physical pain and disability, emotional distress, diminished interactions with friends and family, and burden on caregivers. Our findings provide evidence of signs, symptoms, and functional impacts of advanced melanoma. Signs and symptoms reported (physical, mental, and social) confirm and expand on those reported in the existing clinical literature. Primary care physicians should be better trained to identify melanomas early. Oncology care teams can improve on their current approaches for helping patients navigate treatment options, with information about ancillary services to mitigate disease impacts on HRQL, such as mental health and social supports, as well as employment or financial support services.
1991-12-01
Training 40 4.4 Employee Recognition and Perfornance Measurement 20 4.5 Employee Well-Being and Morale 20 5.0 Quality Assurance of Products and Services 150...and Services 25 5.4 Quality Assessment 15 5.5 Documentation 10 5.6 Quality Assurance , Quality Assessment and Quality Improvement of Support Services ...those of industry averages and industry leaders. 28 The Quality Assurance of Products and Services category examines the systematic approaches used by
Caregivers’ Quality of Life and Quality of Services for Children with Cancer: A Review from Iran
Sajjadi, Homeira; Vameghi, Meroe; Ghazinour, Mehdi; KhodaeiArdakani, Mohammadreza
2013-01-01
Objective: Caregivers of cancer patients are exposed to different types of psychosocial stress which influence their quality of life. The purposes of this study were to assess quality of life in caregivers of children with cancer and to investigate the relationship between the caregivers’ quality of life and quality of services in the social work section. Method: 125 caregivers were recruited. Quality of life was measured by the Iranian version of the WHOQOL-BREF questionnaire and data concerning service quality were obtained from the Iranian version of the SERVQUAL questionnaire. Findings: Scores in physical health, psychological status and environmental conditions for caregivers of children with cancer were significantly lower than the general population. There was a negative correlation between the tangible domain of SERVQUAL and the psychological status and environmental conditions of quality of life. The tangible dimension was the only aspect of service quality to predict caregivers’ quality of life regarding psychological status and environmental conditions. Conclusion: Caregivers of children with a disease are care consumers and, like all consumers, they expect good service. Delivering high quality services consistently is difficult but profitable for a service organization. In other words, trying to deliver more appropriate services than patients expect to receive from their social work care is one of the most reliable ways to promote caregivers’ satisfaction and quality of life. PMID:23618487
Caregivers' quality of life and quality of services for children with cancer: a review from iran.
Sajjadi, Homeira; Vameghi, Meroe; Ghazinour, Mehdi; Khodaeiardekani, Mohammadreza
2013-03-04
Caregivers of cancer patients are exposed to different types of psychosocial stress which influence their quality of life. The purposes of this study were to assess quality of life in caregivers of children with cancer and to investigate the relationship between the caregivers' quality of life and quality of services in the social work section. 125 caregivers were recruited. Quality of life was measured by the Iranian version of the WHOQOL-BREF questionnaire and data concerning service quality were obtained from the Iranian version of the SERVQUAL questionnaire. Scores in physical health, psychological status and environmental conditions for caregivers of children with cancer were significantly lower than the general population. There was a negative correlation between the tangible domain of SERVQUAL and the psychological status and environmental conditions of quality of life. The tangible dimension was the only aspect of service quality to predict caregivers' quality of life regarding psychological status and environmental conditions. Caregivers of children with a disease are care consumers and, like all consumers, they expect good service. Delivering high quality services consistently is difficult but profitable for a service organization. In other words, trying to deliver more appropriate services than patients expect to receive from their social work care is one of the most reliable ways to promote caregivers' satisfaction and quality of life.
Exhaled breath condensate – from an analytical point of view
Dodig, Slavica; Čepelak, Ivana
2013-01-01
Over the past three decades, the goal of many researchers is analysis of exhaled breath condensate (EBC) as noninvasively obtained sample. A total quality in laboratory diagnostic processes in EBC analysis was investigated: pre-analytical (formation, collection, storage of EBC), analytical (sensitivity of applied methods, standardization) and post-analytical (interpretation of results) phases. EBC analysis is still used as a research tool. Limitations referred to pre-analytical, analytical, and post-analytical phases of EBC analysis are numerous, e.g. low concentrations of EBC constituents, single-analyte methods lack in sensitivity, and multi-analyte has not been fully explored, and reference values are not established. When all, pre-analytical, analytical and post-analytical requirements are met, EBC biomarkers as well as biomarker patterns can be selected and EBC analysis can hopefully be used in clinical practice, in both, the diagnosis and in the longitudinal follow-up of patients, resulting in better outcome of disease. PMID:24266297
NASA Astrophysics Data System (ADS)
Schnase, J. L.; Duffy, D. Q.; McInerney, M. A.; Tamkin, G. S.; Thompson, J. H.; Gill, R.; Grieg, C. M.
2012-12-01
MERRA Analytic Services (MERRA/AS) is a cyberinfrastructure resource for developing and evaluating a new generation of climate data analysis capabilities. MERRA/AS supports OBS4MIP activities by reducing the time spent in the preparation of Modern Era Retrospective-Analysis for Research and Applications (MERRA) data used in data-model intercomparison. It also provides a testbed for experimental development of high-performance analytics. MERRA/AS is a cloud-based service built around the Virtual Climate Data Server (vCDS) technology that is currently used by the NASA Center for Climate Simulation (NCCS) to deliver Intergovernmental Panel on Climate Change (IPCC) data to the Earth System Grid Federation (ESGF). Crucial to its effectiveness, MERRA/AS's servers will use a workflow-generated realizable object capability to perform analyses over the MERRA data using the MapReduce approach to parallel storage-based computation. The results produced by these operations will be stored by the vCDS, which will also be able to host code sets for those who wish to explore the use of MapReduce for more advanced analytics. While the work described here will focus on the MERRA collection, these technologies can be used to publish other reanalysis, observational, and ancillary OBS4MIP data to ESGF and, importantly, offer an architectural approach to climate data services that can be generalized to applications and customers beyond the traditional climate research community. In this presentation, we describe our approach, experiences, lessons learned,and plans for the future.; (A) MERRA/AS software stack. (B) Example MERRA/AS interfaces.