Published on in Vol 11 (2024)

This is a member publication of National University of Singapore

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/50939, first published .
Assessing the Utility, Impact, and Adoption Challenges of an Artificial Intelligence–Enabled Prescription Advisory Tool for Type 2 Diabetes Management: Qualitative Study

Assessing the Utility, Impact, and Adoption Challenges of an Artificial Intelligence–Enabled Prescription Advisory Tool for Type 2 Diabetes Management: Qualitative Study

Assessing the Utility, Impact, and Adoption Challenges of an Artificial Intelligence–Enabled Prescription Advisory Tool for Type 2 Diabetes Management: Qualitative Study

Sungwon Yoon   1, 2 , MPH, PhD ;   Hendra Goh   1 , MPH ;   Phong Ching Lee   3 , MBChB, MRCP ;   Hong Chang Tan   3 , MBBS, MRCP ;   Ming Ming Teh   3 , MB BCh BAO, MRCP, MD ;   Dawn Shao Ting Lim   3 , MBBS, MRCP, MMed ;   Ann Kwee   3 , MB BCh BAO, MRCP, MMed ;   Chandran Suresh   3 , MBBS, MRCP ;   David Carmody   3 , MB BCh BAO, LRCP & SI, MRCP, MD ;   Du Soon Swee   3 , MBBS, MRCP ;   Sarah Ying Tse Tan   3 , MBBS, MRCP, MMed ;   Andy Jun-Wei Wong   3 , MBBS ;   Charlotte Hui-Min Choo   3 , MBBS ;   Zongwen Wee   3 , MBBS, MRCP, MMed ;   Yong Mong Bee   3 , MBBS, MRCP

1 Health Services and Systems Research, Duke-NUS Medical School, Singapore, Singapore

2 Centre for Population Health Research and Implementation, SingHealth Regional Health System, SingHealth, Singapore, Singapore

3 Department of Endocrinology, Singapore General Hospital, Singapore, Singapore

Corresponding Author: