The Application of Computer Technology to Clinical Practice Guideline Implementation: A Scoping Review

被引:0
|
作者
Li, Xu-Hui [1 ]
Liao, Jian-Peng [2 ]
Chen, Mu-Kun [3 ]
Gao, Kuang [3 ]
Wang, Yong-Bo [1 ]
Yan, Si-Yu [1 ]
Huang, Qiao [1 ]
Wang, Yun-Yun [1 ]
Shi, Yue-Xian [4 ]
Hu, Wen-Bin [3 ]
Jin, Ying-Hui [1 ]
机构
[1] Wuhan Univ, Ctr Evidence Based & Translat Med, Zhongnan Hosp, Wuhan 430071, Peoples R China
[2] Wuhan Univ, Sch Publ Hlth, Wuhan 430071, Peoples R China
[3] Wuhan Univ, Sch Comp Sci, Wuhan 430071, Peoples R China
[4] Peking Univ, Sch Nursing, Beijing 100191, Peoples R China
基金
中国国家自然科学基金;
关键词
Computer technology; Artificial intelligence; Clinical practice guideline; Implementation; Review; DECISION-SUPPORT-SYSTEM; INFORMATION EXTRACTION; MEDICAL GUIDELINES; MULTIPLE-ONTOLOGY; FRAMEWORK; KNOWLEDGE; REPRESENTATION; MODEL; FORMALIZATION; VERIFICATION;
D O I
10.1007/s10916-023-02007-1
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
Implementation of clinical practice guidelines (CPG) is a complex and challenging task. Computer technology, including artificial intelligence (AI), has been explored to promote the CPG implementation. This study has reviewed the main domains where computer technology and AI has been applied to CPG implementation. PubMed, Embase, Web of science, the Cochrane Library, China National Knowledge Infrastructure database, WanFang DATA, VIP database, and China Biology Medicine disc database were searched from inception to December 2021. Studies involving the utilization of computer technology and AI to promote the implementation of CPGs were eligible for review. A total of 10429 published articles were identified, 117 met the inclusion criteria. 21 (17.9%) focused on the utilization of AI techniques to classify or extract the relative content of CPGs, such as recommendation sentence, condition-action sentences. 47 (40.2%) focused on the utilization of computer technology to represent guideline knowledge to make it understandable by computer. 15 (12.8%) focused on the utilization of AI techniques to verify the relative content of CPGs, such as conciliation of multiple single-disease guidelines for comorbid patients. 34 (29.1%) focused on the utilization of AI techniques to integrate guideline knowledge into different resources, such as clinical decision support systems. We conclude that the application of computer technology and AI to CPG implementation mainly concentrated on the guideline content classification and extraction, guideline knowledge representation, guideline knowledge verification, and guideline knowledge integration. The AI methods used for guideline content classification and extraction were pattern-based algorithm and machine learning. In guideline knowledge representation, guideline knowledge verification, and guideline knowledge integration, computer techniques of knowledge representation were the most used.
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页数:23
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