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The Application of Computer Technology to Clinical Practice Guideline Implementation: A Scoping Review.
Li, Xu-Hui; Liao, Jian-Peng; Chen, Mu-Kun; Gao, Kuang; Wang, Yong-Bo; Yan, Si-Yu; Huang, Qiao; Wang, Yun-Yun; Shi, Yue-Xian; Hu, Wen-Bin; Jin, Ying-Hui.
Afiliação
  • Li XH; Center for Evidence-Based and Translational Medicine, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China.
  • Liao JP; School of Public Health, Wuhan University, Wuhan, 430071, China.
  • Chen MK; School of Computer Science, Wuhan University, Wuhan, 430071, China.
  • Gao K; School of Computer Science, Wuhan University, Wuhan, 430071, China.
  • Wang YB; Center for Evidence-Based and Translational Medicine, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China.
  • Yan SY; Center for Evidence-Based and Translational Medicine, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China.
  • Huang Q; Center for Evidence-Based and Translational Medicine, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China.
  • Wang YY; Center for Evidence-Based and Translational Medicine, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China.
  • Shi YX; School of Nursing, Peking University, Beijing, 100191, China.
  • Hu WB; School of Computer Science, Wuhan University, Wuhan, 430071, China. hwb@whu.edu.cn.
  • Jin YH; Center for Evidence-Based and Translational Medicine, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China. jinyinghui0301@163.com.
J Med Syst ; 48(1): 6, 2023 Dec 27.
Article em En | MEDLINE | ID: mdl-38148352
ABSTRACT
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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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Sistemas de Apoio a Decisões Clínicas Tipo de estudo: Systematic_reviews Limite: Humans Idioma: En Revista: J Med Syst / J. med. syst / Journal of medical systems Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Sistemas de Apoio a Decisões Clínicas Tipo de estudo: Systematic_reviews Limite: Humans Idioma: En Revista: J Med Syst / J. med. syst / Journal of medical systems Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China