A standard-based taxonomy of features that affect user response to clinical decision support alerts
This study demonstrated a standard-based taxonomy of features that could impact user responses to CDS alerts, bridging insights from academic studies and industry practices. The taxonomy stands as a foundational tool, guiding the CDS development, implementation, and evaluation, with the overarching goal of improving user acceptance and healthcare quality.
Authors
- Adam T. Wright (ORCID: https://orcid.org/0000-0001-6844-145X)
- Dean F. Sittig (ORCID: https://orcid.org/0000-0001-5811-8915)
- Thomas A. Lasko (ORCID: https://orcid.org/0000-0003-2300-9529)
- Allison B. McCoy (ORCID: https://orcid.org/0000-0003-2292-9147)
- Josh F. Peterson (ORCID: https://orcid.org/0000-0002-7553-0749)
- Siru Liu (ORCID: https://orcid.org/0000-0002-5003-5354)
Institutions
- Vanderbilt University (US)
- The University of Texas Health Science Center (US)
- Vanderbilt University Medical Center (US)
- The University of Texas Health Science Center at Houston (US)
Publication Details
- Journal
- BMC Medical Informatics and Decision Making
- Published
- 2025-10-21
- DOI
- https://doi.org/10.1186/s12911-025-03231-0
- Citations
- 1
- Primary Topic
- Electronic Health Records Systems
- Type
- article
- Field-Weighted Citation Impact
- 2.94