Adoption of AI-Based Scribes in Telemedicine: Provider Attitudes and Insights

Given our study results and the promising direction of AI technology, the use of AI scribes in the telehealth setting has the potential to mitigate burnout, improve the provider-patient relationship, and help restore patient-centered care.

Authors

Institutions

Publication Details

Journal
Telemedicine Journal and e-Health
Published
2026-02-18
DOI
https://doi.org/10.1177/15305627261424693
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Adoption of AI-Based Scribes in Telemedicine: Provider Attitudes and Insights

Chandra Saurabh, Tearsanee Carlisle Davis, Farhana Lima, Lindsey B. Kuiper et al.
Telemedicine Journal and e-Health
Artificial Intelligence in Healthcare and Education
article

Adoption of AI-Based Scribes in Telemedicine: Provider Attitudes and Insights

Chandra Saurabh, Tearsanee Carlisle Davis, Farhana Lima, Lindsey B. Kuiper, Yueh-Yun Lin, Avery Watson, Vanessa Trammell, Audrey C Eckerson, Vinayak K. Nahar
article en

Abstract

Given our study results and the promising direction of AI technology, the use of AI scribes in the telehealth setting has the potential to mitigate burnout, improve the provider-patient relationship, and help restore patient-centered care.

Telemedicine Journal and e-Health
University of Mississippi Medical Center (US)
Good health and well-being
Openalex Percentile: Top 53%
Artificial Intelligence in Healthcare and Education
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.