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患者操作的智能初级保健分诊工具益处的证据有限:一项文献综述的结果

Limited evidence of benefits of patient operated intelligent primary care triage tools: findings of a literature review.

作者信息

Gottliebsen Kristian, Petersson Göran

机构信息

Herøy Helsesenter, Fosnavåg, Norway.

Department of Medicine and Optometry, eHealthInstitute, Kalmar, Sweden

出版信息

BMJ Health Care Inform. 2020 May;27(1). doi: 10.1136/bmjhci-2019-100114.

Abstract

INTRODUCTION

There is consistent evidence that the workload in general practices is substantially increasing. The digitalisation of healthcare including the use of artificial intelligence has been suggested as a solution to this problem. We wanted to explore the features of intelligent online triage tools in primary care by conducting a literature review.

METHOD

A systematic literature search strategy was formulated and conducted in the PubMed database and the Cochrane Library. Articles were selected according to inclusion/exclusion criteria. Results and data were systematically extracted and thematically analysed. 17 articles of that reported large multimethod studies or smaller diagnostic accuracy tests on clinical vignettes were included. Reviews and expert opinions were also considered.

RESULTS

There was limited evidence on the actual effects and performance of triage tools in primary care. Several aspects can guide further development: concepts of system design, system implementation and diagnostic performance. The most important findings were: a need to formulate evaluation guidelines and regulations; their assumed potential has not yet been met; a risk of increased or redistribution of workloads and the available symptom checker systems seem overly risk averse and should be tested in real-life settings.

CONCLUSION

This review identified several features associated with the design and implementation of intelligent online triage tools in a primary care context, although most of the investigated systems seemed underdeveloped and offered limited benefits. Current online triage systems should not be used by individuals who have reasonable access to traditional healthcare. Systems used should be strictly evaluated and regulated like other medical products.

摘要

引言

有一致的证据表明,普通诊所的工作量正在大幅增加。包括使用人工智能在内的医疗保健数字化被认为是解决这一问题的方法。我们希望通过进行文献综述来探索初级保健中智能在线分诊工具的特点。

方法

制定了系统的文献检索策略,并在PubMed数据库和Cochrane图书馆中进行检索。根据纳入/排除标准选择文章。对结果和数据进行系统提取并进行主题分析。纳入了17篇报告了关于临床病例的大型多方法研究或较小诊断准确性测试的文章。还考虑了综述和专家意见。

结果

关于分诊工具在初级保健中的实际效果和性能的证据有限。几个方面可以指导进一步发展:系统设计概念、系统实施和诊断性能。最重要的发现是:需要制定评估指南和法规;其假定的潜力尚未实现;工作量增加或重新分配的风险,以及现有的症状检查系统似乎过于规避风险,应在现实环境中进行测试。

结论

本综述确定了与初级保健环境中智能在线分诊工具的设计和实施相关的几个特点,尽管大多数被研究的系统似乎不够完善,效益有限。有条件获得传统医疗服务的个人不应使用当前的在线分诊系统。所使用的系统应像其他医疗产品一样受到严格评估和监管。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/280b/7245402/70d320ee5de8/bmjhci-2019-100114f01.jpg

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