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

被引：18

作者：

Ouanes, Khaled ^{[1
]}

Farhah, Nesren ^{[2
]}

机构：

[1] Saudi Elect Univ, Coll Hlth Sci, Dept Hlth Informat, Dammam, Saudi Arabia

[2] Saudi Elect Univ, Coll Hlth Sci, Dept Hlth Informat, Riyadh 11673, Saudi Arabia

来源：

JOURNAL OF MEDICAL SYSTEMS | 2024年 / 48卷 / 01期

关键词：

Clinical decision support systems; Artificial intelligence; Machine learning; Deep learning; Neural networks; PROGNOSIS; RISK;

D O I：

10.1007/s10916-024-02098-4

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：

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.

引用

页数：10

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