Understanding Physician’s Perspectives on AI in Health Care: Protocol for a Sequential Multiple Assignment Randomized Vignette Study

作者：Jane Kim, Hyun‐Joon Yang, Bohye Kim, Katie Ryan, Laura Weiss Roberts · 发表于：JMIR Research Protocols · 年份：2024 · DOI：10.2196/54787 · 被引用次数：9 · 研究领域：Artificial Intelligence in Healthcare and Education、Clinical Reasoning and Diagnostic Skills、Electronic Health Records Systems

BACKGROUND: As the availability and performance of artificial intelligence (AI)-based clinical decision support (CDS) systems improve, physicians and other care providers poised to be on the front lines will be increasingly tasked with using these tools in patient care and incorporating their outputs into clinical decision-making processes. Vignette studies provide a means to explore emerging hypotheses regarding how context-specific factors, such as clinical risk, the amount of information provided about the AI, and the AI result, may impact physician acceptance and use of AI-based CDS tools. To best anticipate how such factors influence the decision-making of frontline physicians in clinical scenarios involving AI decision-support tools, hypothesis-driven research is needed that enables scenario testing before the implementation and deployment of these tools. OBJECTIVE: This study's objectives are to (1) design an original, web-based vignette-based survey that features hypothetical scenarios based on emerging or real-world applications of AI-based CDS systems that will vary systematically by features related to clinical risk, the amount of information provided about the AI, and the AI result; and (2) test and determine causal effects of specific factors on the judgments and perceptions salient to physicians' clinical decision-making. METHODS: US-based physicians with specialties in family or internal medicine will be recruited through email and mail (target n=420). Through ...