From Data to Decisions: Ai’s Impact on Clinical Decision-Making in Healthcare: A Systematic Review

Abstract

The increasing complexity of healthcare demands innovative solutions to improve clinical decision-making. AI, encompassing machine learning, natural language processing, and predictive analytics, has emerged as a critical tool for addressing these challenges. AI systems can analyze vast datasets, identify patterns, and support healthcare professionals in making informed decisions. However, integrating AI into clinical workflows raises questions regarding reliability, ethical considerations, and healthcare disparities. This review explores the current landscape of AI in clinical decision-making, focusing on its transformative potential and existing barriers.