Clinical Decision Support Systems (CDSS) are essential tools in contemporary healthcare, enhancing clinicians’ decisions and patient outcomes. The integration of artificial intelligence (AI) is now revolutionizing CDSS even further. This review delves into AI technologies transforming CDSS, their applications in healthcare decision-making, associated challenges, and the potential trajectory toward fully realizing AI-CDSS’s potential.
The review emphasizes user-centered design in AI-CDSS integration, addressing usability, trust, workflow, and ethical and legal considerations. It acknowledges prevailing obstacles and suggests strategies for successful AI-CDSS adoption, highlighting the need for workflow alignment and interdisciplinary collaboration. It emphasizes the need for collaborative efforts to realize a future where AI-powered CDSS optimizes healthcare delivery and improves patient outcomes.
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- AI-Driven Clinical Decision Support Systems: An Ongoing Pursuit of Potential


AI-Driven Clinical Decision Support Systems: An Ongoing Pursuit of Potential
Publication Year: 2024
Contributing Organisation: Queen Elizabeth University Hospital
Authors: Malek Elhaddad and Sara Hamam
Learning Themes: Global Health
Downloads: 18