Abstract

Clinical Decision Support Systems (CDSS) have emerged as transformative tools in modern healthcare, aiming to enhance decision-making in diagnosing and treating medical conditions. By integrating patient data with evidence based guidelines, medical research, and algorithms, CDSS assist healthcare providers in making informed decisions that improve patient outcomes. These systems offer a wide range of functionalities, including diagnostic assistance, treatment recommendations, and risk assessment. This paper explores the evolution of CDSS, their current applications, challenges, and future potential in reshaping healthcare delivery. The use of CDSS in clinical settings holds promise for reducing medical errors, improving efficiency, and enabling personalized care.