Status of AI-Enabled Clinical Decision Support Systems Implementations in China

实施 利克特量表 临床决策支持系统 医学 描述性统计 远程医疗 家庭医学 医疗保健 医学教育 计算机科学 决策支持系统 人工智能 统计 数学 政治学 程序设计语言 法学
作者
Mengting Ji,Xiaoyun Chen,Georgi Z. Genchev,Ming Wei,Guangjun Yu
出处
期刊:Methods of Information in Medicine [Thieme Medical Publishers (Germany)]
卷期号:60 (05/06): 123-132 被引量:5
标识
DOI:10.1055/s-0041-1736461
摘要

AI-enabled Clinical Decision Support Systems (AI + CDSSs) were heralded to contribute greatly to the advancement of health care services. There is an increased availability of monetary funds and technical expertise invested in projects and proposals targeting the building and implementation of such systems. Therefore, understanding the actual system implementation status in clinical practice is imperative.The aim of the study is to understand (1) the current situation of AI + CDSSs clinical implementations in Chinese hospitals and (2) concerns regarding AI + CDSSs current and future implementations.We investigated 160 tertiary hospitals from six provinces and province-level cities. Descriptive analysis, two-sided Fisher exact test, and Mann-Whitney U-test were utilized for analysis.Thirty-eight of the surveyed hospitals (23.75%) had implemented AI + CDSSs. There were statistical differences on grade, scales, and medical volume between the two groups of hospitals (implemented vs. not-implemented AI + CDSSs, p <0.05). On the 5-point Likert scale, 81.58% (31/38) of respondents rated their overall satisfaction with the systems as "just neutral" to "satisfied." The three most common concerns were system functions improvement and integration into the clinical process, data quality and availability, and methodological bias.While AI + CDSSs were not yet widespread in Chinese clinical settings, professionals recognize the potential benefits and challenges regarding in-hospital AI + CDSSs.

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