1. Effectiveness of Artificial Intelligence (AI) in Clinical Decision Support Systems and Care Delivery.
- Author
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Ouanes, Khaled and Farhah, Nesren
- Subjects
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MEDICATION error prevention , *RISK assessment , *PREDICTION models , *ARTIFICIAL intelligence , *CLINICAL decision support systems , *MEDICAL care , *CONTENT analysis , *EVALUATION of medical care , *DECISION making in clinical medicine , *ACUTE kidney failure , *THEMATIC analysis , *SYSTEMATIC reviews , *MEDLINE , *ATTITUDES of medical personnel , *DEEP learning , *ARTIFICIAL neural networks , *SEPSIS , *COMPUTER-aided diagnosis , *QUALITY assurance , *EARLY diagnosis , *EVIDENCE-based medicine , *MACHINE learning , *ONLINE information services , *MEDICAL practice , *MEDICAL care costs , *SENSITIVITY & specificity (Statistics) , *DISEASE risk factors ,CHRONIC disease diagnosis - 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. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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