Evidence map›Paper›PMID 21709162›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA

Design and evaluation of a wireless electronic health records system for field care in mass casualty settings.

L A Lenert, D Kirsh, W G Griswold, C Buono, J Lyon, R Rao, T C Chan

Open access · bronzeAbstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
8.1field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 54 citations in OpenAlex.

  1. Review
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  8. Designing and executing a functional exercise to test a novel informatics tool for mass casualty triage.Journal of the American Medical Informatics Association : JAMIA · 2019
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 1 country.

L A LenertDepartment of Medicine, University of Utah School of Medicine, Salt Lake City, Utah, USA. leslie.lenert@hsc.utah.edu
D Kirsh
W G Griswold
C Buono
J Lyon
R Rao
T C Chan
University of California, San Diego · USStanford University · USUniversity of Utah · US

Funding

WIISARD SAGE: Self-Scaling Systems for Mass Casualty ManagementR01LM009522 · NLM · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI GRISWOLD, WILLIAM G · 2009 to 2010
$3.2M
NLM NIH HHS R01 LM009522NLM NIH HHS R01LM009522
6 · The paper itself

Abstract

backgroundThere 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

methodsWIISARD 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 paper-based workarounds.

resultsWIISARD reduced the rate of the missing and/or duplicated patient identifiers (0% vs 47%, p<0.001). The total time of the field was nearly identical (38:20 vs 38:23, IQR 26:53-1:05:32 vs 18:55-57:22).

conclusionOverall, the results of WIISARD show that wireless EMR systems for care of the victims of disasters would be complex to develop but potentially feasible to build and deploy, and likely to improve the quality of information available for the delivery of care during disasters.

Indexed as

Electronic Health RecordsEmergency Medical Service Communication SystemsMass Casualty IncidentsHumansInformation Storage and RetrievalSoftwareTime FactorsWireless Technology

Identifiers

PMID21709162
PMCPMC3198000
OpenAlexW2170133014

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.