Effectiveness of Artificial Intelligence (AI) in Clinical Decision Support Systems and Care Delivery.

IF 3.5 3区医学 Q1 HEALTH CARE SCIENCES & SERVICES

Journal of Medical Systems Pub Date : 2024-08-12 DOI:10.1007/s10916-024-02098-4

Khaled Ouanes, Nesren Farhah

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Abstract

This review aims to assess the effectiveness of AI-driven CDSSs on patient outcomes and clinical practices. A comprehensive search was conducted across PubMed, MEDLINE, and Scopus. Studies published from January 2018 to November 2023 were eligible for inclusion. Following title and abstract screening, full-text articles were assessed for methodological quality and adherence to inclusion criteria. Data extraction focused on study design, AI technologies employed, reported outcomes, and evidence of AI-CDSS impact on patient and clinical outcomes. Thematic analysis was conducted to synthesise findings and identify key themes regarding the effectiveness of AI-CDSS. The screening of the articles resulted in the selection of 26 articles that satisfied the inclusion criteria. The content analysis revealed four themes: early detection and disease diagnosis, enhanced decision-making, medication errors, and clinicians' perspectives. AI-based CDSSs were found to improve clinical decision-making by providing patient-specific information and evidence-based recommendations. Using AI in CDSSs can potentially improve patient outcomes by enhancing diagnostic accuracy, optimising treatment selection, and reducing medical errors.

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人工智能（AI）在临床决策支持系统和护理服务中的有效性。

本综述旨在评估人工智能驱动的 CDSS 对患者预后和临床实践的有效性。我们在 PubMed、MEDLINE 和 Scopus 上进行了全面检索。2018年1月至2023年11月期间发表的研究符合纳入条件。在对标题和摘要进行筛选后，对全文进行了方法学质量和是否符合纳入标准的评估。数据提取的重点是研究设计、采用的人工智能技术、报告的结果以及人工智能-CDSS对患者和临床结果影响的证据。对研究结果进行了主题分析，并确定了有关 AI-CDSS 效果的关键主题。经过筛选，共有 26 篇文章符合纳入标准。内容分析揭示了四个主题：早期发现和疾病诊断、加强决策、用药错误和临床医生的观点。研究发现，基于人工智能的 CDSS 可通过提供患者特定信息和循证建议来改善临床决策。在 CDSS 中使用人工智能可提高诊断准确性、优化治疗选择并减少医疗失误，从而改善患者的治疗效果。

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

Journal of Medical Systems 医学-卫生保健

CiteScore

11.60

自引率

1.90%

发文量

审稿时长

4.8 months

期刊介绍： Journal of Medical Systems provides a forum for the presentation and discussion of the increasingly extensive applications of new systems techniques and methods in hospital clinic and physician''s office administration; pathology radiology and pharmaceutical delivery systems; medical records storage and retrieval; and ancillary patient-support systems. The journal publishes informative articles essays and studies across the entire scale of medical systems from large hospital programs to novel small-scale medical services. Education is an integral part of this amalgamation of sciences and selected articles are published in this area. Since existing medical systems are constantly being modified to fit particular circumstances and to solve specific problems the journal includes a special section devoted to status reports on current installations.