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.

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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
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article

Unifying Healthcare Through MDM: Paving the Way for Precision Medicine and Population Health

Somnath Banerjee
European Journal of Computer Science and Information Technology
Machine Learning in Healthcare
article

Unifying Healthcare Through MDM: Paving the Way for Precision Medicine and Population Health

Somnath Banerjee
article en

Abstract

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.

European Journal of Computer Science and Information TechnologyVol. 13(32)
Institute of Electrical and Electronics Engineers (US), Centre for European Reform (GB)
Openalex Percentile: Top 94%
Machine Learning in Healthcare
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Unifying Healthcare Through MDM: Paving the Way for Precision Medicine and Population Health — Somnath Banerjee · European Journal of Computer Science and Information Technology (2025) | TGRS Research Map | TGRS