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

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作者： Sungwon,Yoon ^[1] ; Hendra,Goh ^[2] ; Phong Ching,Lee ^[1] ; Hong Chang,Tan ^[3] ; Ming Ming,Teh ^[3] ; Dawn Shao Ting,Lim ^[3] ; Ann,Kwee ^[3] ; Chandran,Suresh ^[3] ; David,Carmody ^[3] ; Du Soon,Swee ^[3] ; Sarah Ying Tse,Tan ^[3] ; Andy Jun-Wei,Wong ^[3] ; Charlotte Hui-Min,Choo ^[3] ; Zongwen,Wee ^[3] ; Yong Mong,Bee ^[3]

作者单位： Health Services and Systems Research, Duke-NUS Medical School, Singapore, Singapore. ^[1] Centre for Population Health Research and Implementation, SingHealth Regional Health System, SingHealth, Singapore, Singapore. ^[2] Department of Endocrinology, Singapore General Hospital, Singapore, Singapore. ^[3]

关键词 artificial intelligence clinical decision support system diabetes management endocrinology human factors

主题词糖尿病, 2型(Diabetes Mellitus, Type 2);人类(Humans);人工智能(Artificial Intelligence);集中研讨小组(Focus Groups);定性研究(Qualitative Research);决策支持系统, 临床(Decision Support Systems, Clinical);男(雄)性(Male);女(雌)性(Female);降血糖药(Hypoglycemic Agents);中年人(Middle Aged);成年人(Adult)

DOI 10.2196/50939

PMID 38869934

发布时间 2024-06-30

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JMIR human factors

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

JMIR human factors

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JMIR human factors

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

JMIR human factors

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JMIR human factors

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