Unifying Healthcare Through MDM: Paving the Way for Precision Medicine and Population Health
As healthcare systems generate increasingly complex datasets, from EHRs and genomic profiles to social and behavioral determinants, the need for an integrated, reliable data infrastructure has never been greater. This paper explores the critical role of Master Data Management (MDM) in addressing fragmentation and inconsistency in healthcare data, and its strategic application in advancing both precision medicine and population health. Through a synthesis of peer-reviewed research, industry case studies, and regulatory frameworks, the study demonstrates how MDM enables accurate patient identity resolution, data standardization, and semantic interoperability. These capabilities support the creation of unified patient records, which serve as the foundation for individualized treatment plans, chronic disease surveillance, and targeted public health interventions. The findings underscore MDM’s transition from a backend data utility to a strategic enabler of personalized and population-wide care.
Authors
- Somnath Banerjee (ORCID: https://orcid.org/0000-0002-9445-8439)
Institutions
- Institute of Electrical and Electronics Engineers (US)
- Centre for European Reform (GB)
Publication Details
- Journal
- European Journal of Computer Science and Information Technology
- Published
- 2025-04-15
- DOI
- https://doi.org/10.37745/ejcsit.2013/vol13n322837
- Primary Topic
- Machine Learning in Healthcare
- Type
- article
- Field-Weighted Citation Impact
- 0.00