Artificial intelligence (AI) tools are widely and freely available for clinical use. Understanding hospitalists’ real-world adoption patterns in the absence of organizational endorsement is essential for health care institutions to develop governance frameworks and optimize AI integration.
The objective of this study was to investigate hospitalists’ use of AI, examining the AI platforms being used, frequency of use, and clinical contexts of application.
An anonymous online survey was distributed via email to all 70 hospitalists (physicians, nurse practitioners, and physician assistants) providing direct patient care at a large urban academic tertiary care hospital.
The strong preference for a medical-specific AI platform over general-purpose tools observed in our study suggests that clinicians are not passive recipients of whatever AI technology becomes available but are actively selecting tools based on perceived fit with medical practice. This preference may reflect appropriate professional judgment about the importance of medical domain knowledge, source transparency, and health care–specific design. Health care institutions and regulatory bodies should recognize that clinicians’ preference for specialized tools creates a need for rigorous, independent validation of these platforms’ accuracy, reliability, and safety.
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