"Brilliant AI Doctor" in Rural Clinics: Challenges in AI-Powered Clinical Decision Support System Deployment

要旨

Artificial intelligence (AI) technology has been increasingly used in the implementation of advanced Clinical Decision Support Systems (CDSS). Research demonstrated the potential usefulness of AI-powered CDSS (AI-CDSS) in clinical decision making scenarios. However, post-adoption user perception and experience remain understudied, especially in developing countries. Through observations and interviews with 22 clinicians from 6 rural clinics in China, this paper reports the various tensions between the design of an AI-CDSS system (``Brilliant Doctor'') and the rural clinical context, such as the misalignment with local context and workflow, the technical limitations and usability barriers, as well as issues related to transparency and trustworthiness of AI-CDSS. Despite these tensions, all participants expressed positive attitudes toward the future of AI-CDSS, especially acting as ``a doctor's AI assistant'' to realize a Human-AI Collaboration future in clinical settings. Finally we draw on our findings to discuss implications for designing AI-CDSS interventions for rural clinical contexts in developing countries.

著者
Dakuo Wang
IBM Research, Cambridge, Massachusetts, United States
Liuping Wang
Institute of Software, Chinese Academy of Sciences, Beijing, China
Zhan Zhang
Pace University, New York, New York, United States
Ding Wang
Google AI, Singapore , Singapore
Haiyi Zhu
Carnegie Mellon University, Pittsburgh, Pennsylvania, United States
Yvonne Gao
The State University of New York at Stony Brook, Stony Brook, New York, United States
Xiangmin Fan
University of Chinese Academy of Sciences, Beijing, China
Feng Tian
Institute of software, Chinese Academy of Sciences, Beijing, China
DOI

10.1145/3411764.3445432

論文URL

https://doi.org/10.1145/3411764.3445432

動画

会議: CHI 2021

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2021.acm.org/)

セッション: Justice, Wellbeing, and Health

[A] Paper Room 13, 2021-05-12 17:00:00~2021-05-12 19:00:00 / [B] Paper Room 13, 2021-05-13 01:00:00~2021-05-13 03:00:00 / [C] Paper Room 13, 2021-05-13 09:00:00~2021-05-13 11:00:00
Paper Room 13
14 件の発表
2021-05-12 17:00:00
2021-05-12 19:00:00
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