如何在临床决策支持系统中使用本体来表示临床实践指南：系统评价方案。

How are ontologies implemented to represent clinical practice guidelines in clinical decision support systems: protocol for a systematic review.

机构信息

Department of Health Information Technology, School of Management and Medical Informatics, Tabriz University of Medical Sciences, Tabriz, Iran.

Research Center for Evidence Based-Medicine, Iranian EBM Center: A Joanna Briggs Institute Center of Excellence, Tabriz University of Medical Sciences, Tabriz, Iran.

出版信息

Syst Rev. 2022 Aug 31;11(1):183. doi: 10.1186/s13643-022-02063-7.

DOI:10.1186/s13643-022-02063-7

PMID:36042520

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9429575/

Abstract

BACKGROUND

Clinical practice guidelines are statements which are based on the best available evidence, and their goal is to improve the quality of patient care. Integrating clinical practice guidelines into computer systems can help physicians reduce medical errors and help them to have the best possible practice. Guideline-based clinical decision support systems play a significant role in supporting physicians in their decisions. Meantime, system errors are the most critical concerns in designing decision support systems that can affect their performance and efficacy. A well-developed ontology can be helpful in this matter. The proposed systematic review will specify the methods, components, language of rules, and evaluation methods of current ontology-driven guideline-based clinical decision support systems.

METHODS

This review will identify literature through searching MEDLINE (via Ovid), PubMed, EMBASE, Cochrane Library, CINAHL, ScienceDirect, IEEEXplore, and ACM Digital Library. Gray literature, reference lists, and citing articles of the included studies will be searched. The quality of the included studies will be assessed by the mixed methods appraisal tool (MMAT-version 2018). At least two independent reviewers will perform the screening, quality assessment, and data extraction. A third reviewer will resolve any disagreements. Proper data analysis will be performed based on the type of system and ontology engineering evaluation data.

DISCUSSION

The study will provide evidence regarding applying ontologies in guideline-based clinical decision support systems. The findings of this systematic review will be a guide for decision support system designers and developers, technologists, system providers, policymakers, and stakeholders. Ontology builders can use the information in this review to build well-structured ontologies for personalized medicine.

SYSTEMATIC REVIEW REGISTRATION

PROSPERO CRD42018106501.

摘要

背景

临床实践指南是基于最佳可用证据制定的声明，其目的是提高患者护理质量。将临床实践指南整合到计算机系统中可以帮助医生减少医疗错误，并帮助他们实现最佳实践。基于指南的临床决策支持系统在支持医生决策方面发挥着重要作用。同时，系统错误是设计决策支持系统时最关键的关注点，这可能会影响它们的性能和效果。一个完善的本体论在这方面会有所帮助。本研究将具体说明当前基于本体的指南驱动临床决策支持系统的方法、组件、规则语言和评估方法。

方法

本综述将通过搜索 MEDLINE（通过 Ovid）、PubMed、EMBASE、Cochrane 图书馆、CINAHL、ScienceDirect、IEEEXplore 和 ACM 数字图书馆来确定文献。将搜索灰色文献、纳入研究的参考文献和引用文献。纳入研究的质量将通过混合方法评估工具（MMAT-version 2018）进行评估。至少有两名独立评审员将进行筛选、质量评估和数据提取。任何分歧将由第三名评审员解决。将根据系统类型和本体工程评估数据进行适当的数据分析。