Design and evaluation of a wireless electronic health records system for field care in mass casualty settings
Autor: | Theodore C. Chan, William G. Griswold, David Kirsh, Ramesh R. Rao, Leslie A. Lenert, Joachim Lyon, Colleen Buono |
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Jazyk: | angličtina |
Rok vydání: | 2011 |
Předmět: |
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business.industry Emergency Medical Service Communication Systems education Vital signs Information quality Information Storage and Retrieval Health Informatics Usability medicine.disease Research and Applications Triage Mass-casualty incident medicine Information system Electronic Health Records Humans Mass Casualty Incidents The Internet Medical emergency Software system business Wireless Technology Software |
Popis: | Background There is growing interest in the use of technology to enhance the tracking and quality of clinical information available for patients in disaster settings. This paper describes the design and evaluation of the Wireless Internet Information System for Medical Response in Disasters (WIISARD). Materials and methods WIISARD combined advanced networking technology with electronic triage tags that reported victims’ position and recorded medical information, with wireless pulse-oximeters that monitored patient vital signs, and a wireless electronic medical record (EMR) for disaster care. The EMR system included WiFi handheld devices with barcode scanners (used by front-line responders) and computer tablets with role-tailored software (used by managers of the triage, treatment, transport and medical communications teams). An additional software system provided situational awareness for the incident commander. The WIISARD system was evaluated in a large-scale simulation exercise designed for training first responders. A randomized trial was overlaid on this exercise with 100 simulated victims, 50 in a control pathway (paper-based), and 50 in completely electronic WIISARD pathway. All patients in the electronic pathway were cared for within the WIISARD system without paperbased workarounds. Results WIISARD reduced the rate of the missing and/or duplicated patient identifiers (0% vs 47%, p |
Databáze: | OpenAIRE |
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