Peer-reviewedCC BYJMIR formative research
Artificial Intelligence Use Among Health Care Professionals in the United States and United Kingdom: Cross-National Survey.
5 affiliations
- 1College of Medicine, The Ohio State University, Columbus, OH, 43205, United States.
- 2Abigail Wexner Research Institute, Nationwide Children's Hospital, 700 Children's Drive, Columbus, OH, 43205, United States, 1 6146957499.
- 3Division of Clinical Informatics, Nationwide Children's Hospital, Columbus, OH, United States.
- 43rd Department of Cardiology, Medical University of Silesia, Katowice, Silesia, Poland.
- 5Heart Rhythm Centre, Royal Brompton Hospital, Guy's and St Thomas' NHS Foundation Trust, London, United Kingdom.
Abstract
Unlabelled
This cross-sectional study examined AI use among 524 health care professionals in the United States and United Kingdom, focusing on current applications, access, barriers, and factors that could support adoption. AI use was common but varied across professional and national contexts, with findings highlighting the importance of evidence, organizational guidance, training, privacy safeguards, and integration into clinical workflows for responsible adoption.
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BibTeX
@article{sezgin2026artificial,
title = {{Artificial Intelligence Use Among Health Care Professionals in the United States and United Kingdom: Cross-National Survey.}},
author = {Emre Sezgin and Jennifer Lee and Tomasz Jadczyk and Alysha J Taxter},
journal = {JMIR formative research},
year = {2026},
month = oct,
doi = {10.2196/100681},
url = {https://europepmc.org/article/MED/42896135},
note = {CC BY},
}
RIS
TY - JOUR
TI - Artificial Intelligence Use Among Health Care Professionals in the United States and United Kingdom: Cross-National Survey.
AU - Emre Sezgin
AU - Jennifer Lee
AU - Tomasz Jadczyk
AU - Alysha J Taxter
PY - 2026
DA - 2026/10/19
JO - JMIR formative research
DO - 10.2196/100681
UR - https://europepmc.org/article/MED/42896135
AB - Unlabelled This cross-sectional study examined AI use among 524 health care professionals in the United States and United Kingdom, focusing on current applications, access, barriers, and factors that could support adoption. AI use was common but varied across professional and national contexts, with findings highlighting the importance of evidence, organizational guidance, training, privacy safeguards, and integration into clinical workflows for responsible adoption.
SN - 2561-326X
ER -