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https://www.readbyqxmd.com/read/27437061/validation-of-test-performance-and-clinical-time-zero-for-an-electronic-health-record-embedded-severe-sepsis-alert
#1
Joshua Rolnick, N Lance Downing, John Shepard, Weihan Chu, Julia Tam, Alexander Wessels, Ron Li, Brian Dietrich, Michael Rudy, Leon Castaneda, Lisa Shieh
BACHGROUND: Increasing use of EHRs has generated interest in the potential of computerized clinical decision support to improve treatment of sepsis. Electronic sepsis alerts have had mixed results due to poor test characteristics, the inability to detect sepsis in a timely fashion and the use of outside software limiting widespread adoption. We describe the development, evaluation and validation of an accurate and timely severe sepsis alert with the potential to impact sepsis management...
2016: Applied Clinical Informatics
https://www.readbyqxmd.com/read/26514069/development-of-processes-allowing-near-real-time-refinement-and-validation-of-triage-tools-during-the-early-stage-of-an-outbreak-in-readiness-for-surge-the-flu-cats-study
#2
Sudhir Venkatesan, Puja R Myles, Gerard McCann, Antonis A Kousoulis, Maimoona Hashmi, Rabah Belatri, Emma Boyle, Alan Barcroft, Tjeerd Pieter van Staa, Jamie J Kirkham, Jonathan S Nguyen Van Tam, Timothy J Williams, Malcolm G Semple
BACKGROUND: During pandemics of novel influenza and outbreaks of emerging infections, surge in health-care demand can exceed capacity to provide normal standards of care. In such exceptional circumstances, triage tools may aid decisions in identifying people who are most likely to benefit from higher levels of care. Rapid research during the early phase of an outbreak should allow refinement and validation of triage tools so that in the event of surge a valid tool is available. The overarching study aim is to conduct a prospective near real-time analysis of structured clinical assessments of influenza-like illness (ILI) using primary care electronic health records (EHRs) during a pandemic...
October 2015: Health Technology Assessment: HTA
https://www.readbyqxmd.com/read/25417090/knowledge-based-personal-health-system-to-empower-outpatients-of-diabetes-mellitus-by-means-of-p4-medicine
#3
Adrián Bresó, Carlos Sáez, Javier Vicente, Félix Larrinaga, Montserrat Robles, Juan Miguel García-Gómez
Diabetes Mellitus (DM) affects hundreds of millions of people worldwide and it imposes a large economic burden on healthcare systems. We present a web patient empowering system (PHSP4) that ensures continuous monitoring and assessment of the health state of patients with DM (type I and II). PHSP4 is a Knowledge-Based Personal Health System (PHS) which follows the trend of P4 Medicine (Personalized, Predictive, Preventive, and Participative). It provides messages to outpatients and clinicians about the achievement of objectives, follow-up, and treatments adjusted to the patient condition...
2015: Methods in Molecular Biology
https://www.readbyqxmd.com/read/24184678/electronic-health-record-acceptance-by-physicians-testing-an-integrated-theoretical-model
#4
Marie-Pierre Gagnon, El Kebir Ghandour, Pascaline Kengne Talla, David Simonyan, Gaston Godin, Michel Labrecque, Mathieu Ouimet, Michel Rousseau
OBJECTIVE: Several countries are in the process of implementing an Electronic Health Record (EHR), but limited physicians' acceptance of this technology presents a serious threat to its successful implementation. The aim of this study was to identify the main determinants of physician acceptance of EHR in a sample of general practitioners and specialists of the Province of Quebec (Canada). METHODS: We sent an electronic questionnaire to physician members of the Quebec Medical Association...
April 2014: Journal of Biomedical Informatics
https://www.readbyqxmd.com/read/20169018/factors-influencing-acceptance-of-electronic-health-records-in-hospitals
#5
Melinda A Wilkins
The study's aim was to examine factors that may influence health information managers in the adoption of electronic health records. The Technology Acceptance Model (TAM) served as theoretical foundation for this quantitative study. Hospital health information managers in Arkansas were queried as to the constructs of perceived usefulness, perceived ease of use, and behavior intention. The study population comprised 94 health information managers with a return rate of 74.5 percent. One manager was identified to represent each hospital...
September 16, 2009: Perspectives in Health Information Management
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