Summary
Artificial intelligence-based clinical decision support systems (AI-CDSS) hold promise for improving patient outcomes. This review identified 26 articles on the effectiveness of AI-CDSS on patient outcomes. The content analysis revealed four themes: early detection and disease diagnosis, enhanced decision-making, medication errors, and clinicians' perspectives. Only three of the interventions, which were within the theme of early detection and disease diagnosis, were categorized as highly effective. Patient privacy, data security, and health equity were mentioned as continuing concerns.
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