Artificial Intelligence in Shared Decision Making

Yao LU; Jianing Liu; Mian Wang; Jiajie Huang; Baojin Han; Mingyao Sun; Qianji Cheng; Jinling Ning; Long GE

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Artificial Intelligence in Shared Decision Making

VernacularTitle:人工智能在医患共同决策中的应用
Author: Yao LU ^{1
,

2} ; Jianing LIU ³ ; Mian WANG ⁴ ; Jiajie HUANG ³ ; Baojin HAN ^{4
,

5} ; Mingyao SUN ⁶ ; Qianji CHENG ^{1
,

2} ; Jinling NING ^{1
,

2} ; Long GE ^{1
,

2
,

7}
Author Information

1. Department of Health Policy and Management, School of Public Health, Lanzhou University, Lanzhou 730000, China
2. Evidence-based Social Science Research Center, School of Public Health, Lanzhou University, Lanzhou 730000, China
3. College of Nursing, Gansu University of Chinese Medicine, Lanzhou 730030, China
4. Department of Oncology, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing 100053, China
5. Graduate School, Beijing University of Chinese Medicine, Beijing 100029, China
6. Evidence-based Nursing Center, School of Nursing, Lanzhou University, Lanzhou 730000, China
7. Key Laboratory of Evidence-based Medicine and Knowledge Translation of Gansu Province, Lanzhou 730000, China
Publication Type:Journal Article
Keywords: artificial intelligence; evidence-based medicine; shared decision making
From: Medical Journal of Peking Union Medical College Hospital 2023;15(3):661-667
CountryChina
Language:Chinese
Abstract:
Artificial intelligence(AI) empowers the development of the medical industry, providing precise and intelligent assistance for clinical diagnosis, treatment, and rehabilitation.AI has the potential to facilitate shared decision making (SDM), but AI interventions used for SDM are currently in their infancy, presenting both challenges and opportunities. This paper aims to describe the application of AI in SDM, explore the problems and challenges of AI-based decision aid used for SDM, and propose possible solutions, aiming to provide a guide for the development and implementation of AI-based decision aid.