Cited by 0Electronic Health Records SystemsArtificial Intelligence in Healthcare and EducationHealthcare Technology and Patient Monitoring

Leveraging 10 Days of Alert Malfunction to Improve Mature Organizational Clinical Decision Support Processes

Open access
Ferro, Daria F., Tobias, Marc, Carr, Leah H., Wentz, Pamela, Rodriguez, Melissa, Pitts, Casey, Kane, Emily, Shelov, Eric·2026·Applied Clinical Informatics

Abstract

Interruptive clinical decision support (CDS) alerts are intended to standardize patient care and prevent harm. However, failures can occur even in organizations with mature CDS governance and advanced analytics. These breakdowns, marked by excessive firings, workflow disruption, and clinician dissatisfaction, can provide insights into systemic weaknesses in CDS design, testing, and monitoring processes. This study aimed to examine a CDS alert malfunction as a lens for identifying system-level gaps and propose strategies to strengthen resilience in CDS operations. A retrospective analysis was conducted on an interruptive alert that was developed through a phased, multistakeholder, committee-driven process, but was removed within 10 days due to poor performance, revealing gaps that persisted despite established governance. The alert fired 1,866 times in 5 days, with a 91% dismissal rate and reports of workflow disruption. Feedback indicated provider frustration and concern for malfunction. Analysis revealed gaps in end-user engagement, testing rigor, committee reviews, and monitoring practices. CDS failures can serve as catalysts for system improvement. This case highlights actionable lessons, such as operationalizing user-centered design, clarifying testing expectations, and distributing monitoring responsibilities, to enhance CDS reliability. Even well-established governance structures must be continuously evaluated and adapted to keep pace with evolving CDS technologies, and such investments position organizations to maintain responsive, sustainable systems aligned with high-quality care.

Integrity signals

Registry

Crossref · 10.1055/a-2793-0977

Cites

19 of 19 references verified0 citation errors · 0 not checkable

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Cites

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Research works printed but not linked: 3

  1. A Wright, 2009, Governance for clinical decision support: Case studies and recommended practices from leading institutions, J Am Med Inform Assoc, 16, 232
  2. J D McGreevey III, 2020, Reducing alert burden in electronic health records: State of the art recommendations from four health systems, Appl Clin Inform, 11, 1
  3. F Magrabi, 2012, Patient safety problems associated with healthcare information technology: An analysis of adverse event reports, J Am Med Inform Assoc, 19, 1111

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Authors
Ferro, D. F., Tobias, M., Carr, L. H., Wentz, P., Rodriguez, M., Pitts, C., Kane, E., & Shelov, E.
Affiliations
  • Children's Hospital of Philadelphia (US)
  • Phrase Health, Inc., Philadelphia, Pennsylvania, United States
  • Digital and Technology Services, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, United States
Venue
Applied Clinical Informatics
Published
2026-01
Volume
17
Issue
01
Pages
046-051
ISSN
1869-0327 (ISSN-L)
OpenAlex
W7125372730
Cited by
0
References
19
FWCI
0.00
Type
journal article
Language
en
Open access
Locations
  • Applied Clinical Informatics (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (publishedVersion)
Topics
  • Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
  • Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
  • Health Sciences › Medicine › Surgery › Healthcare Technology and Patient Monitoring
Keywords
clinical decision support alerts, interruptive alerts, workflow disruption, user-centered design, organizational resilience
MeSH terms
Humans, Time Factors, Decision Support Systems, Clinical

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