Related Experiment Video
Updated: Jun 14, 2026

Estimate the Cognitive Load Using Electrocardiographic Measure: A Human-AI Collaborative Task
Published on: December 5, 2025
From Burden to Balance: Trends in Documentation Workload with Ambient Artificial Intelligence Scribe Adoption
Thomas Wojda1, Jennifer Berliner2,3, Gary S Fischer3
1University of Pittsburgh Medical Center Health System, Department of Family Medicine, Pennsylvania, United States, Pittsburgh.
Background:
Physician burnout, often driven by documentation burden in electronic health records, remains a major challenge in clinical care. Ambient artificial intelligence (AI) scribes generate draft notes from clinical encounters, offering a scalable approach to reduce administrative workload, yet population-level evaluations remain limited.
Objectives:
The objective of this study is to assess changes over time in clinician perceptions of workload, well-being, and care delivery following implementation of ambient AI scribes.
Methods:
We conducted a prospective repeated cross-sectional survey study of physicians and advanced practice providers at four time points: baseline and approximately 1, 3, and 6 months' postimplementation. Outcomes included cognitive workload (NASA Task Load Index), professional fulfillment and burnout (Professional Fulfillment Index and Mini-Z), and perceptions of documentation burden, communication, and clinical capacity. Responses were grouped into clinically meaningful categories, and chi-square tests compared distributions across time. Secondary analyses compared baseline characteristics of respondents with linkable data across time points to the full cohort and evaluated subgroup differences for specific items.
Results:
A total of 1,600 clinicians responded at baseline, with 172, 117, and 101 respondents at 1-, 3-, and 6-month follow-up, respectively. Over 95% of follow-up respondents reported generating ≥5 ambient AI-supported notes, with use increasing significantly over time (p < 0.05). Clinicians reported statistically significant reductions in mental demand, time pressure, and documentation effort at postimplementation intervals (p < 0.05). Time spent on documentation outside clinic declined, with more clinicians reporting <2 hours/day (p < 0.05). Burnout increased across follow-up time points (p < 0.05). Confidence in patient comprehension and willingness to increase patient volume improved. Subgroup analyses mirrored overall trends.
Conclusion:
Ambient AI scribes were associated with sustained reductions in cognitive workload and perceived documentation burden. Despite these improvements, burnout increased over time, likely reflecting multifactorial influences and limitations of unpaired survey data. These findings support continued implementation and further longitudinal evaluation of clinician well-being.
Related Concept Videos
Methods of Documentation V: CBE
In CBE, healthcare professionals establish predefined standards of practice that define what constitutes...
Methods of Documentation VII: EMR
Methods of Documentation VI: Case Management Model
For example, a patient with a chronic illness...
Methods of Documentation II: POMR
Methods of Documentation IV: Focus Charting
It typically involves three columns for recording information:
Documentation in Long-Term and Home Healthcare Setting
Long-Term Care Facilities