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Ketan K Mane, Kevin B Rubenstein, Najlla Nassery, Adam L Sharp, Ejaz A Shamim, Navdeep S Sangha, Ahmed Hassoon, Mehdi Fanai, Zheyu Wang, David E Newman-Toker
No abstract text is available yet for this article.
March 17, 2018: BMJ Quality & Safety
Kamel Mansouri, Chris M Grulke, Richard S Judson, Antony J Williams
The collection of chemical structure information and associated experimental data for quantitative structure-activity/property relationship (QSAR/QSPR) modeling is facilitated by an increasing number of public databases containing large amounts of useful data. However, the performance of QSAR models highly depends on the quality of the data and modeling methodology used. This study aims to develop robust QSAR/QSPR models for chemical properties of environmental interest that can be used for regulatory purposes...
March 8, 2018: Journal of Cheminformatics
P Scott Pine, Steven P Lund, Jerod R Parsons, Lindsay K Vang, Ashish A Mahabal, Luca Cinquini, Sean C Kelly, Heather Kincaid, Daniel J Crichton, Avrum Spira, Gang Liu, Adam C Gower, Harvey I Pass, Chandra Goparaju, Steven M Dubinett, Kostyantyn Krysan, Sanford A Stass, Debra Kukuruga, Kendall Van Keuren-Jensen, Amanda Courtright-Lim, Karol L Thompson, Barry A Rosenzweig, Lynn Sorbara, Sudhir Srivastava, Marc L Salit
BACKGROUND: The potential utility of microRNA as biomarkers for early detection of cancer and other diseases is being investigated with genome-scale profiling of differentially expressed microRNA. Processes for measurement assurance are critical components of genome-scale measurements. Here, we evaluated the utility of a set of total RNA samples, designed with between-sample differences in the relative abundance of miRNAs, as process controls. RESULTS: Three pure total human RNA samples (brain, liver, and placenta) and two different mixtures of these components were evaluated as measurement assurance control samples on multiple measurement systems at multiple sites and over multiple rounds...
March 6, 2018: BMC Genomics
Sajan Patel, Alvin Rajkomar, James D Harrison, Priya A Prasad, Victoria Valencia, Sumant R Ranji, Michelle Mourad
BACKGROUND: Audit and feedback improves clinical care by highlighting the gap between current and ideal practice. We combined best practices of audit and feedback with continuously generated electronic health record data to improve performance on quality metrics in an inpatient setting. METHODS: We conducted a cluster randomised control trial comparing intensive audit and feedback with usual audit and feedback from February 2016 to June 2016. The study subjects were internal medicine teams on the teaching service at an urban tertiary care hospital...
March 5, 2018: BMJ Quality & Safety
Andrew D McEachran, Kamel Mansouri, Seth R Newton, Brandiese E J Beverly, Jon R Sobus, Antony J Williams
High-resolution mass spectrometry (HRMS) data has revolutionized the identification of environmental contaminants through non-targeted analysis (NTA). However, chemical identification remains challenging due to the vast number of unknown molecular features typically observed in environmental samples. Advanced data processing techniques are required to improve chemical identification workflows. The ideal workflow brings together a variety of data and tools to increase the certainty of identification. One such tool is chromatographic retention time (RT) prediction, which can be used to reduce the number of possible suspect chemicals within an observed RT window...
May 15, 2018: Talanta
Divya Kumar, Laura M Tully, Ana-Maria Iosif, Lauren N Zakskorn, Kathleen E Nye, Aqsa Zia, Tara Ann Niendam
BACKGROUND: A growing body of literature indicates that smartphone technology is a feasible add-on tool in the treatment of individuals with early psychosis (EP) . However, most studies to date have been conducted independent of outpatient care or in a research clinic setting, often with financial incentives to maintain user adherence to the technology. Feasibility of dissemination and implementation of smartphone technology into community mental health centers (CMHCs) has yet to be tested, and whether young adults with EP will use this technology for long periods of time without incentive is unknown...
February 27, 2018: JMIR Mental Health
Paulino Jimenez, Anita Bregenzer
BACKGROUND: Electronic health (eHealth) and mobile health (mHealth) tools can support and improve the whole process of workplace health promotion (WHP) projects. However, several challenges and opportunities have to be considered while integrating these tools in WHP projects. Currently, a large number of eHealth tools are developed for changing health behavior, but these tools can support the whole WHP process, including group administration, information flow, assessment, intervention development process, or evaluation...
February 23, 2018: Journal of Medical Internet Research
Wouter T Gude, Marie-José Roos-Blom, Sabine N van der Veer, Dave A Dongelmans, Evert de Jonge, Jill J Francis, Niels Peek, Nicolette F de Keizer
BACKGROUND: Audit and feedback aims to guide health professionals in improving aspects of their practice that need it most. Evidence suggests that feedback fails to increase accuracy of professional perceptions about clinical performance, which likely reduces audit and feedback effectiveness. This study investigates health professionals' perceptions about their clinical performance and the influence of feedback on their intentions to change practice. METHODS: We conducted an online laboratory experiment guided by Control Theory with 72 intensive care professionals from 21 units...
February 17, 2018: Implementation Science: IS
Luisa M Pettigrew, Stephanie Kumpunen, Nicholas Mays, Rebecca Rosen, Rachel Posaner
BACKGROUND: Over the past decade, collaboration between general practices in England to form new provider networks and large-scale organisations has been driven largely by grassroots action among GPs. However, it is now being increasingly advocated for by national policymakers. Expectations of what scaling up general practice in England will achieve are significant. AIM: To review the evidence of the impact of new forms of large-scale general practice provider collaborations in England...
February 12, 2018: British Journal of General Practice: the Journal of the Royal College of General Practitioners
Joachim Rapin, Danielle D Amour, Thierry Penseyres, Gabrielle Santos, Vincent Adatte, Isabelle Lehn, Cédric Mabire
Studies show high variability in the quality of care and a significant incidence of adverse events. The care management direction of a university hospital center (CHU) has developed a care performance measuring system. The aim of the article is to present the different development stages of this system. The authors used May's Normalization Process Theory, which focuses on factors influencing the engagement of individuals, groups, and organizations in sustaining change.The CHU's approach led to the following results : 1) reaching a consensus on performance concept and identifying five areas of performance, 2) selection of 12 priority indicators to assess performance, 3) measures development, 4) setting up the method of collecting information 5) creation of a mechanism for analyzing the results by care teams and 6) dissemination of results via dashboards...
February 2, 2018: Recherche en Soins Infirmiers
Elizabeth A Valentine, Scott A Falk
Quality improvement is at the heart of practice of anesthesiology. Objective data are critical for any quality improvement initiative; when possible, a combination of process, outcome, and balancing metrics should be evaluated to gauge the value of an intervention. Quality improvement is an ongoing process; iterative reevaluation of data is required to maintain interventions, ensure continued effectiveness, and continually improve. Dashboards can facilitate rapid analysis of data and drive decision making. Large data sets can be useful to establish benchmarks and compare performance against other providers, practices, or institutions...
March 2018: Anesthesiology Clinics
Joshua A Rolnick, Kira L Ryskina
Medicare reimbursement for hospitals is increasingly tied to performance. The use of individual provider performance reports offers the potential to improve clinical outcomes through social comparison, and isolated cases of clinical dashboard uses at specific institutions have been previously reported. However, little is known about overall trends in how hospitals use the electronic health record to track and provide feedback on provider performance. We used data from 2013 to 2015 from the American Hospital Association (AHA) Annual Survey Information Technology Supplement, which asked hospitals if they have used electronic data to create performance profiles...
February 7, 2018: Journal of Hospital Medicine: An Official Publication of the Society of Hospital Medicine
Sunita Pal, Debra M Ikeda, Robert A Jesinger, L Jake Mickelsen, Christina A Chen, David B Larson
OBJECTIVE: The purpose of this project was to achieve sustained improvement in mammographic breast positioning in our department. MATERIALS AND METHODS: Between June 2013 and December 2016, we conducted a team-based performance improvement initiative with the goal of improving mammographic positioning. The team of technologists and radiologists established quantitative measures of positioning performance based on American College of Radiology (ACR) criteria, audited at least 35 mammograms per week for positioning quality, displayed performance in dashboards, provided technologists with positioning training, developed a supportive environment fostering technologist and radiologist communication surrounding mammographic positioning, and employed a mammography positioning coach to develop, improve, and maintain technologist positioning performance...
February 7, 2018: AJR. American Journal of Roentgenology
Arianna Dagliati, Lucia Sacchi, Valentina Tibollo, Giulia Cogni, Marsida Teliti, Antonio Martinez-Millana, Vicente Traver, Daniele Segagni, Jorge Posada, Manuel Ottaviano, Giuseppe Fico, Maria Teresa Arredondo, Pasquale De Cata, Luca Chiovato, Riccardo Bellazzi
Objective: To describe the development, as part of the European Union MOSAIC (Models and Simulation Techniques for Discovering Diabetes Influence Factors) project, of a dashboard-based system for the management of type 2 diabetes and assess its impact on clinical practice. Methods: The MOSAIC dashboard system is based on predictive modeling, longitudinal data analytics, and the reuse and integration of data from hospitals and public health repositories. Data are merged into an i2b2 data warehouse, which feeds a set of advanced temporal analytic models, including temporal abstractions, care-flow mining, drug exposure pattern detection, and risk-prediction models for type 2 diabetes complications...
February 2, 2018: Journal of the American Medical Informatics Association: JAMIA
Jeremiah Laktabai, Alyssa Platt, Diana Menya, Elizabeth L Turner, Daniel Aswa, Stephen Kinoti, Wendy Prudhomme O'Meara
BACKGROUND: Community health workers (CHWs) play an important role in improving access to services in areas with limited health infrastructure or workforce. Supervision of CHWs by qualified health professionals is the main link between this lay workforce and the formal health system. The quality of services provided by lay health workers is dependent on adequate supportive supervision. It is however one of the weakest links in CHW programs due to logistical and resource constraints, especially in large scale programs...
2018: PloS One
Alexander Eser, Christian Primas, Sieglinde Reinisch, Harald Vogelsang, Gottfried Novacek, Diane R Mould, Walter Reinisch
Despite a robust exposure-response relationship of infliximab in inflammatory bowel disease (IBD), attempts to adjust dosing to individually predicted serum concentrations of infliximab (SICs) are lacking. Compared with labor-intensive conventional software for pharmacokinetic (PK) modeling (eg, NONMEM) dashboards are easy-to-use programs incorporating complex Bayesian statistics to determine individual pharmacokinetics. We evaluated various infliximab detection assays and the number of samples needed to precisely forecast individual SICs using a Bayesian dashboard...
January 30, 2018: Journal of Clinical Pharmacology
Ava L Liberman, David E Newman-Toker
BACKGROUND: The public health burden associated with diagnostic errors is likely enormous, with some estimates suggesting millions of individuals are harmed each year in the USA, and presumably many more worldwide. According to the US National Academy of Medicine, improving diagnosis in healthcare is now considered 'a moral, professional, and public health imperative.' Unfortunately, well-established, valid and readily available operational measures of diagnostic performance and misdiagnosis-related harms are lacking, hampering progress...
January 22, 2018: BMJ Quality & Safety
Dezhi Fang, Fred Hohman, Peter Polack, Hillol Sarker, Minsuk Kahng, Moushumi Sharmin, Mustafa al'Absi, Duen Horng Chau
We present Discovery Dashboard, a visual analytics system for exploring large volumes of time series data from mobile medical field studies. Discovery Dashboard offers interactive exploration tools and a data mining motif discovery algorithm to help researchers formulate hypotheses, discover trends and patterns, and ultimately gain a deeper understanding of their data. Discovery Dashboard emphasizes user freedom and flexibility during the data exploration process and enables researchers to do things previously challenging or impossible to do - in the web-browser and in real time...
September 2017: Proceedings of the ACM International Conference on Ubiquitous Computing
Todd M Martin
The goal of alternatives assessment (AA) is to facilitate a comparison of alternatives to a chemical of concern, resulting in the identification of safer alternatives. A two stage methodology for comparing chemical alternatives was developed. In the first stage, alternatives are compared using a variety of human health effects, ecotoxicity, and physicochemical properties. Hazard profiles are completed using a variety of online sources and quantitative structure activity relationship models. In the second stage, alternatives are evaluated utilizing an exposure/risk assessment over the entire life cycle...
May 1, 2017: Clean Technologies and Environmental Policy
Ann Kutney-Lee, Joan Carpenter, Dawn Smith, Joshua Thorpe, Alina Tudose, Mary Ersek
Surveys of bereaved family members are increasingly being used to evaluate end-of-life (EOL) care and to measure organizational performance in EOL care quality. The Bereaved Family Survey (BFS) is used to monitor EOL care quality and benchmark performance in the Veterans Affairs (VA) health-care system. The objective of this study was to develop a case-mix adjustment model for the BFS and to examine changes in facility-level scores following adjustment, in order to provide fair comparisons across facilities...
January 1, 2018: American Journal of Hospice & Palliative Care
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