Global Journal of Multidisciplinary and Applied Sciences

Integrating Artificial Intelligence in Clinical Decision-Making: Implications for Modern Health Systems

Ayesha Siddiqui

Department of Biotechnology, Quaid-i-Azam University, Islamabad

Keywords: Clinical Decision-Making, Artificial Intelligence, Health Informatics, Predictive Analytics

Abstract

Artificial Intelligence (AI) has emerged as a transformative force in clinical decision-making, enhancing diagnostic accuracy, treatment planning, risk prediction, and patient monitoring. This scholarly review explores the integration of AI-based tools—such as machine learning models, decision-support systems, and predictive analytics—into modern health systems. Evidence shows that AI improves precision, reduces medical errors, and supports clinicians in complex decision pathways. Graphical and tabular analyses highlight adoption trends, diagnostic improvement metrics, and performance comparisons across clinical settings. The review underscores challenges such as algorithmic bias, ethical concerns, and interoperability issues while offering strategic recommendations for safe, effective, and equitable AI-driven healthcare.