Clinical Decision Support Systems Could Be Modified To Reduce ‘Alert Fatigue’ While Still Minimizing The Risk Of Litigation
Abstract
Clinical decision support systems--interactive computer systems that help doctors make clinical choices--can reduce errors in drug prescribing by offering real-time alerts about possible adverse reactions. But physicians and other users often suffer "alert fatigue" caused by excessive numbers of warnings about items such as potentially dangerous drug interactions. As a result, they may pay less attention to or even ignore some vital alerts, thus limiting these systems' effectiveness. Designers and vendors sharply limit the ability to modify alert systems because they fear being exposed to liability if they permit removal of a warning that could have prevented a harmful prescribing error. Our analysis of product liability principles and existing research into the use of clinical decision support systems, however, finds that more finely tailored or parsimonious warnings could ease alert fatigue without imparting a high risk of litigation for vendors, purchasers, and users. Even so, to limit liability in this area, we recommend stronger government regulation of clinical decision support systems and development of international practice guidelines highlighting the most important warnings.
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Generating predictions every 6 h helps reduce alert fatigue by decreasing the overall possible number of alerts.
“This helps reduce alert fatigue by decreasing the overall possible number of alerts, as clinical decision support systems are recommended to be parsimonious and only alert on the most relevant or severe cases in order to reduce repeated alerts causing alert fatigue [19]”
From Machine learning model for early prediction of acute kidney injury (AKI) in pediatric critical care (2021) · cites this paper as [19]
Although the authors have extensively modified the CDS system at their center to promote user acceptance and reduce alert fatigue, they have continued to observe a high level of CDS alert overrides.
“Furthermore, although we have extensively modified the CDS system at our center to promote user acceptance and reduce alert fatigue, 13 we have continued to observe a high level of CDS alert overrides.14”
From Overrides of medication-related clinical decision support alerts in outpatients (2014) · cites this paper as [13]
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References 43 · Cited by 277
- Authors
- Kesselheim, A. S., Cresswell, K., Phansalkar, S., Bates, D. W., & Sheikh, A.
- Affiliations
- Brigham and Women's Hospital (US)
- University of Edinburgh (GB)
- Shobha Phansalkar is a senior medical informatician at Partners Healthcare, in Boston.
- Aziz Sheikh is a professor of primary care research and development at the Centre for Population Health Sciences.
- Venue
- Health Affairs
- Publisher
- Health Affairs Publishing, LLC
- Published
- 2011-12
- Volume
- 30
- Issue
- 12
- Pages
- 2310-2317
- ISSN
- 0278-2715 (ISSN-L)
- 1544-5208
- OpenAlex
- W2166187912
- Semantic Scholar
- 6685c3dec5db72c68345dc5a9d96fcb59da882c1
- Cited by
- 277
- References
- 43
- Citations by year
- 2026: 8 · 2025: 18 · 2024: 14 · 2023: 21 · 2022: 15 · 2021: 17 · 2020: 21 · 2019: 22 · 2018: 16 · 2017: 22 · 2016: 22 · 2015: 37 · 2014: 19 · 2013: 21 · 2012: 4
- FWCI
- 22.56
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Health Affairs (publishedVersion)
- PubMed (publishedVersion)
- Research Publications (Maastricht University) (submittedVersion)
- Funders
- Agency for Healthcare Research and Quality (HS-11169-01, K08HS18465-01)
- Topics
- Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
- Health Sciences › Health Professions › Pharmacy › Medical Malpractice and Liability Issues
- Health Sciences › Medicine › Surgery › Healthcare Technology and Patient Monitoring
- Keywords
- clinical decision support systems, alarm fatigue, product liability, prescribing errors, drug interactions, adverse drug reactions, warning alerts, regulatory oversight, medical device liability
- MeSH terms
- Drug Therapy, Computer-Assisted, Humans, Medication Errors, Software, Liability, Legal, Reminder Systems, Decision Support Systems, Clinical, Medical Order Entry Systems
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