"Electronic Health Records for Complementary Medicine: A Unified and DataDriven Integrative Care"

Abstract

Introduction: This study explores the integration of Electronic Health Records (EHRs) in Complementary and Alternative Medicine (CAM) to address the challenges of fragmented data and limited collaboration. It aims to demonstrate how EHRs can enhance information exchange and evidence-based decision-making in CAM practices. Aim: This paper explores how EHRs can be leveraged for CAM, highlighting their benefits. Methodology: The research employs a Design Science Research Methodology (DSRM), involving iterative artifact creation, evaluation, and refinement. A dynamic web-based project was developed using ASP.NET, C#, Microsoft SQL Server, Visual Studio, and Crystal Reports. Results: Key findings reveal EHR benefits in CAM, including supply chain management integration, improved patient record accessibility, incorporation of patient-specific needs, enhanced research capabilities through prescription and ICD code analysis, and application of machine learning for treatment optimization. Discussion: The study highlights EHRs' potential to provide analytics for CAM practitioners and reduce administrative burdens. Challenges such as interoperability, data standardization, and privacy concerns are addressed. Future directions include integrating IoT and wearable technologies. Conclusion: This research demonstrates how EHRs can foster collaborative care and advance evidence-based practices in CAM, potentially transforming healthcare delivery through data-driven, personalized approaches and unifying CAM