Evidence on artificial intelligence-assisted clinical documentation and healthcare workers' emotional wellbeing at work: a scoping review
Abstract
Objective: This scoping review mapped evidence on artificial intelligence-assisted clinical documentation for healthcare workers' emotional wellbeing at work, including tool types, reported favorable, adverse, or mixed findings, and evidence gaps. We also considered how these tools may shape documentation-related work demands, autonomy, clinical voice, patient connection, and broader occupational wellbeing.
Methods: We searched PubMed, Web of Science, Embase, CINAHL, and PsycINFO from database inception to March 16, 2026, to identify studies. The review was conducted in accordance with the Joanna Briggs Institute methodological framework and reported following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews guidelines. Two reviewers independently conducted study selection and data extraction. The findings were synthesized using descriptive and narrative approaches, and the included studies were critically appraised using the Mixed Methods Appraisal Tool 2018.
Results: Thirty-five studies met the inclusion criteria. The evidence base was highly concentrated: 31 of the 35 studies were conducted in the United States, and 30 evaluated ambient artificial intelligence scribe tools. Overall, 23 studies reported predominantly favorable findings, while 12 were classified as reporting mixed findings. The most frequently reported benefits included reduced documentation burden, decreased cognitive load, improved work satisfaction, and…
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Evidence Hub reads this as a systematic review. Its evidence level is 1 of 5 (Highest · pooled evidence). Pooled evidence from several studies sits at the top of the evidence pyramid.
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