Health AI Central
Peer-Reviewed Publication
JMIR Res Protoc2026;15e80848.April 21, 2026Journal Article

Engaging Hospital Staff to Identify Levers for Adoption of Clinical Decision Support: Protocol for a Single-Site Case Study Using System Dynamics Group Model Building.

Nina Rachel Sperber1,2, Lindsey Eileen Zimmerman3,4, Lauren Caton5, Tom Rust6, Armando Bedoya7, Sarah Haas1, Lori Orlando8, Ben Goldstein1,7
1Department of Population Health Sciences, Duke University School of Medicine, 215 Morris St., Suite 210, Durham, NC, 27701, United States, 1 919-681-6801.
2Durham VA Health Care System, Durham, NC, United States.
3VA Palo Alto Health Care System, Dissemination and Training Division, National Center for PTSD, Menlo Park, CA, United States.
4Division of Public Mental Health and Population Sciences, Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Palo Alto, CA, United States.
5University of North Carolina, Chapel Hill, NC, United States.
6United States Department of Veterans Affairs, Washington, DC, United States.
7Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, NC, United States.
8Department of General Internal Medicine, Wake Forest University School of Medicine, Winston Salem, NC, United States.
PubMed PMC DOI PDF

Abstract

BACKGROUND: Clinical decision support (CDS) tools that provide patient-specific and evidence-based information to clinicians and care managers regarding patient risk for adverse outcomes have been a part of health care for decades. However, modern CDS, which consists of automated predictions based on complex machine learning models and hundreds of complex input variables, faces obstacles to adopti…

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