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

Journal: JMIR human factors
PMID:

Abstract

BACKGROUND: The clinical management of type 2 diabetes mellitus (T2DM) presents a significant challenge due to the constantly evolving clinical practice guidelines and growing array of drug classes available. Evidence suggests that artificial intelligence (AI)-enabled clinical decision support systems (CDSSs) have proven to be effective in assisting clinicians with informed decision-making. Despite the merits of AI-driven CDSSs, a significant research gap exists concerning the early-stage implementation and adoption of AI-enabled CDSSs in T2DM management.

Authors

  • Sungwon Yoon
    Health Services and Systems Research, Duke-NUS Medical School, Singapore, Singapore.
  • Hendra Goh
    Health Services and Systems Research, Duke-NUS Medical School, Singapore, Singapore.
  • Phong Ching Lee
    Department of Endocrinology, Singapore General Hospital, Singapore, Singapore.
  • Hong Chang Tan
    Department of Endocrinology, Singapore General Hospital, Singapore, Singapore.
  • Ming Ming Teh
    Department of Endocrinology, Singapore General Hospital, Singapore, Singapore.
  • Dawn Shao Ting Lim
    Department of Endocrinology, Singapore General Hospital, Singapore, Singapore.
  • Ann Kwee
    Department of Endocrinology, Singapore General Hospital, Singapore.
  • Chandran Suresh
    Department of Endocrinology, Singapore General Hospital, Singapore, Singapore.
  • David Carmody
    Department of Endocrinology, Singapore General Hospital, Singapore, Singapore.
  • Du Soon Swee
    Department of Endocrinology, Singapore General Hospital, Singapore, Singapore.
  • Sarah Ying Tse Tan
    Department of Endocrinology, Singapore General Hospital, Singapore, Singapore.
  • Andy Jun-Wei Wong
    Department of Endocrinology, Singapore General Hospital, Singapore, Singapore.
  • Charlotte Hui-Min Choo
    Department of Endocrinology, Singapore General Hospital, Singapore, Singapore.
  • Zongwen Wee
    Department of Endocrinology, Singapore General Hospital, Singapore, Singapore.
  • Yong Mong Bee
    1Department of Endocrinology, Singapore General Hospital, Singapore.