Hospitalists Adopt AI Tools For Clinical Decision Support

A 2026 survey at a large urban academic tertiary care hospital sent to 70 hospitalists found 54 respondents (77.1%); 36 of 54 (66.7%) reported using AI in clinical practice, with OpenEvidence the predominant platform (28/54, 51.9%). Respondents mainly used AI to answer clinical questions, generate differential diagnoses, and determine management, typically in under 25% of encounters, prompting calls for institutional governance and education.
Key Points
- 1Report adoption: Two-thirds of respondents (36/54, 66.7%) use AI clinically, mainly OpenEvidence.
- 2Indicate preference: Medical-specific RAG-enabled platforms are favored over general-purpose LLMs like ChatGPT.
- 3Recommend action: Institutions must implement governance, validation protocols, and education for safe AI use.
Scoring Rationale
Moderate empirical insight into clinician adoption with peer-reviewed credibility, limited by single-site scope and modest novelty.
Sources
Public references used for this report.
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