Electronic Health Records

This study critically analyzes the role of Clinical Decision Support Systems (CDSS) in enhancing healthcare delivery. Focusing on the period from 2020 onward, the research explores the applications and benefits of CDSS, including their potential to improve diagnostic accuracy and personalize treatment through precision medicine. The study also investigates the significant challenges hindering widespread CDSS adoption, such as technical barriers like interoperability issues with Electronic Health Records (EHRs), clinician resistance due to concerns about trust and workflow disruption, and ethical considerations surrounding data privacy, algorithmic bias, and accountability. Through a comprehensive review of existing literature and practices, the research aims to densify practical and innovative strategies for optimizing CDSS integration, usability, and acceptance in diverse healthcare settings, with a particular focus on the unique challenges faced by low-resource environments. The study's findings are intended to inform healthcare providers, policymakers, researchers, developers, and ultimately, patients, by providing insights into the potential and limitations of CDSS in improving healthcare delivery and patient outcomes.