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

IF 2.4 4区医学 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS Methods of Information in Medicine Pub Date : 2021-12-01 Epub Date: 2021-10-25 DOI:10.1055/s-0041-1736461

Mengting Ji, Xiaoyun Chen, Georgi Z Genchev, Mingyue Wei, Guangjun Yu

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引用次数: 3

Abstract

Background: 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.

Objectives: 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.

Methods: 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.

Results: 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.

Conclusion: 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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中国人工智能临床决策支持系统实施现状

背景:人工智能支持的临床决策支持系统(AI + cdss)被认为对卫生保健服务的进步做出了巨大贡献。为建立和实施这些系统而投资的项目和建议的货币资金和技术专门知识的可用性有所增加。因此，了解系统在临床实践中的实际实施情况势在必行。目的:本研究的目的是了解(1)中国医院人工智能+ cdss临床实施的现状(2)对人工智能+ cdss目前和未来实施的关注。方法:对全国6个省、市的160家三级医院进行调查。采用描述性分析、双侧Fisher精确检验和Mann-Whitney u检验进行分析。结果:38家医院(23.75%)实施了人工智能+ cdss。两组医院在级别、规模和医疗量方面存在统计学差异(实施与未实施AI + cdss)。结论:虽然AI + cdss在中国临床环境中尚未普及，但专业人员认识到院内AI + cdss的潜在益处和挑战。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Methods of Information in Medicine 医学-计算机：信息系统

CiteScore

3.70

自引率

11.80%

发文量

审稿时长

6-12 weeks

期刊介绍： Good medicine and good healthcare demand good information. Since the journal''s founding in 1962, Methods of Information in Medicine has stressed the methodology and scientific fundamentals of organizing, representing and analyzing data, information and knowledge in biomedicine and health care. Covering publications in the fields of biomedical and health informatics, medical biometry, and epidemiology, the journal publishes original papers, reviews, reports, opinion papers, editorials, and letters to the editor. From time to time, the journal publishes articles on particular focus themes as part of a journal''s issue.