Longitudinal effects of ambient AI scribe use on documentation burden and financial productivity in primary care: A quasi-experimental study

medRxiv 2026 Preprint Open access

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Authors: R. J. Waken, Sunny S. Lou, Mackenzie R. Hofford, Elise Eiden, Carrie Burk, Seunghwan Kim, Jared Esker, Linying Zhang, Thomas M. Maddox, Joanna Abraham, Albert M. Lai, Sam B. Bhayani
+7 more Deborah O'Dell, Jennifer Schmidt, Kayla Paynter, Michèle Thomas, MATTHEW GERLING, Philip Payne, Thomas Kannampallil
DOI: 10.64898/2026.01.12.26343538
Cited by: 2
References: 30

Abstract

Abstract Objective To investigate the longitudinal effects of an ambient AI scribe use in primary care on outcomes related to documentation time, note writing patterns, and clinician financial productivity. Method 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 (530PM–7AM), note length, note closure

Fields of Study & Subjects

Artificial Intelligence in Healthcare and Education Electronic Health Records Systems Simulation-Based Education in Healthcare

Publication details

Journal / source
medRxiv
Publisher
openRxiv
Publication date
13 January 2026
Document type
Preprint