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ABSTRACT: Background
Clinician burnout is a growing global concern, with heavy clinical documentation workload identified as a major contributor. Clinical documentation tasks, though essential for patient care and communication, are time-consuming and cognitively demanding. Recent advances in artificial intelligence (AI), particularly natural language processing and large language models, are being explored as potential tools to alleviate documentation burden, yet their quantitative impact has not been systematically assessed.Methods
We performed a systematic review and meta-analysis, registered on PROSPERO (CRD420250653291) and guided by PRISMA. Eligible studies included frontline health professionals using AI tools for clinical note creation, with comparators being usual practice o
SUBMITTER: Zhao J
PROVIDER: S-EPMC12836966 | biostudies-literature | 2025 Dec
REPOSITORIES: biostudies-literature