aceLongitudinal effects of ambient artificial intelligence scribe use on documentation burden and financial productivity in primary care: a quasi-experimental study
Abstract Objectives To investigate the longitudinal effects of an ambient artificial intelligence (AI) scribe use in primary care on outcomes related to documentation time, note writing patterns, and clinician financial productivity. Materials and Methods We conducted a quasi-experimental study with an interrupted time-series design to ascertain the effect of AI scribe use on note writing time, time outside of scheduled hours (TOSH), pajama time (5:30PM-7:00aM), note length, note closure <24 h, and work relative…
Across 220 primary care clinicians, ambient AI scribe use was linked to a growing reduction in note writing time, less after-hours work, and a slight increase in work relative value units by day 150.
The study measured outcomes only over 150 days before and after initial access and used a quasi-experimental rather than randomized design, so longer-term effects and causality remain less certain.
Evidence
- Peer-reviewedJournal of the American Medical Informatics Association2026-10-18
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Truvace Impact Record TRV-2026-1897, v1: “Longitudinal effects of ambient artificial intelligence scribe use on documentation burden and financial productivity in primary care: a quasi-experimental study.” Truvace, 2026-10-19. /record/TRV-2026-1897 (accessed at citation time). sha256 d93f7bb009880d50…
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