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Author Brown, Steven ♦ Rosenbloom, Trent S. ♦ Hardenbrook, Shawn P. ♦ Clark, Terry ♦ Fielstein, Elliot ♦ Elkin, Peter ♦ Speroff, Ted
Source ACM Digital Library
Content type Text
Publisher Association for Computing Machinery (ACM)
File Format PDF
Copyright Year ©2012
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Abstract The Department of Veterans Affairs (VA) performs over 800,000 disability exams and distributes over &dollor;37 billion in disability benefits per year. VA developed and deployed a computer-based disability exam documentation system in order to improve exam report quality and timeliness. We conducted a randomized controlled trial comparing joint disability examinations supported by computerized templates to the examinations documented via dictation, to determine if the system met the intended goals or had unintended consequences. Consenting veterans were randomized to undergo exams documented using computerized templates or via dictation. We compared exam report quality, documentation time costs, encounter length, total time to fulfill an exam request with a finalized exam report, and veteran satisfaction. Computer-based templates resulted in disability exam reports that had higher quality scores (p. 0.042) and were returned to the requesting office faster than exam reports created via dictation (p. 0.02). Documentation time and veteran satisfaction were similar for both the documentation techniques. Encounter length was significantly longer for the template group. Computer-based templates impacted the VA disability evaluation system by improving report quality scores and production time and lengthening encounter times. Oversight bodies have called for mandated use of computer-based templates nationwide. We believe mandates regarding use of health information technology should be guided by data regarding its positive and negative impacts.
ISSN 19361955
Age Range 18 to 22 years ♦ above 22 year
Educational Use Research
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2012-05-07
Publisher Place New York
e-ISSN 19361963
Journal Journal of Data and Information Quality (JDIQ)
Volume Number 3
Issue Number 1
Page Count 17
Starting Page 1
Ending Page 17

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Source: ACM Digital Library