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ABSTRACT: Background
The integration of artificial intelligence (AI) systems for automating medical history taking and triage can significantly enhance patient flow in health care systems. Despite the promising performance of numerous AI studies, only a limited number of these systems have been successfully integrated into routine health care practice. To elucidate how AI systems can create value in this context, it is crucial to identify the current state of knowledge, including the readiness of these systems, the facilitators of and barriers to their implementation, and the perspectives of various stakeholders involved in their development and deployment.Objective
This study aims to map and summarize empirical research on AI systems designed for automating medical history taking an
SUBMITTER: Siira E
PROVIDER: S-EPMC11843066 | biostudies-literature | 2025 Feb
REPOSITORIES: biostudies-literature