Evaluating Clinical Decision Support Systems: Monitoring CPOE Order Check Override Rates in the Department of Veterans Affairs' Computerized Patient Record System
Open accessAbstract
OBJECTIVE: To measure critical order check override rates in VA Puget Sound Health Care System's computerized practitioner order entry (CPOE) system and to compare 2006 results to a similar 2001 study. DESIGN: Analysis of ordering and order check data gathered by a post-hoc logging program. Use of Pearson's chi-square contingency table test comparing results from this study and the earlier study. MEASUREMENTS: Factors measured were total number of orders, frequency of order check types, frequency of order check overrides by order check type and comparisons of these results with previous results. RESULTS: A total of 37,040 orders generated 908 (2.5%) critical order checks. Drug-drug critical alert override rate was 74/85 (87%) in 2006 compared to 95/108 (88%) in 2001 (X ( 2 )=0.04, df=1, p=0.85). The drug-allergy override rate was 341/420 (81%) compared to 72/105 (69%) in 2001 (X ( 2 )=7.97, df=1, p=0.005). In 2001, 0.25% (105/42,621) orders generated a drug-allergy order check compared to 1.13% (420/37,040) in 2006 (X ( 2 )=238.45, df=1, p<0.0001). CONCLUSION: Override rates of critical drug-drug and drug-allergy order checks remain high at VA Puget Sound Health Care System including significant increases in drug-allergy order checks. We recommend that monitoring override rates be regular practice in clinical computing systems and conclude that qualitative research should be carried out to better understand how physicians interact with decision support at the point of ordering.
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The current study's override rates are at or above the rates in previous studies, including those at the regional VA hospital.
“Our current rates are at or above the rates in previous studies, including those at our regional VA hospital [7,8].”
From Drug interaction alert override rates in the Meaningful Use era: No evidence of progress (2014) · cites this paper as [8]
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References 48 · Cited by 110
Research works printed but not linked: 1
- [13]Hsieh TC, Gandhi TK, Seger AC, et al. Identification of Adverse Drug Events in the Outpatient Setting Using a Computerized, Text-searching Monitor Medinfo 2004;2004(CD):1651. [Google Scholar]
- Authors
- Lin, C.-P., Payne, T. H., Nichol, W. P., Hoey, P. J., Anderson, C. L., & Gennari, J. H.
- Affiliations
- University of Washington (US)
- VA Puget Sound Health Care System (US)
- VA Salt Lake City Healthcare System (US)
- Corresponding author
- Lin, C.-P.
- Venue
- Journal of the American Medical Informatics Association
- Publisher
- Oxford University Press (OUP)
- Published
- 2008-09-01
- Volume
- 15
- Issue
- 5
- Pages
- 620-626
- ISSN
- 1067-5027 (ISSN-L)
- 1527-974X
- PMC
- PMC2528033
- OpenAlex
- W1534681120
- Cited by
- 110
- References
- 48
- Citations by year
- 2026: 1 · 2025: 2 · 2024: 2 · 2023: 3 · 2022: 9 · 2021: 5 · 2020: 6 · 2019: 2 · 2018: 7 · 2017: 7 · 2016: 6 · 2015: 7 · 2014: 7 · 2013: 10 · 2012: 7
- FWCI
- 22.03
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Journal of the American Medical Informatics Association (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- U.S. National Library of Medicine (T15LM007442)
- Topics
- Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
- Health Sciences › Health Professions › Emergency Medical Services › Patient Safety and Medication Errors
- Health Sciences › Medicine › Geriatrics and Gerontology › Pharmaceutical Practices and Patient Outcomes
- Keywords
- clinical decision support systems, computerized physician order entry, drug-drug interaction alerts, drug allergy alerts, Veterans Affairs health care
- MeSH terms
- Humans, Practice Patterns, Physicians', Quality Assurance, Health Care, United States, User-Computer Interface, Washington, Medical Errors, Decision Support Systems, Clinical, Medical Order Entry Systems
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