Modernizing Healthcare Master Data Management (MDM): Harnessing Real-Time Processing, IoT, and Blockchain
DOI:
https://doi.org/10.47941/ijce.2808Keywords:
Healthcare, Master Data Management (MDM), IoT, Blockchain, Real-Time ProcessingAbstract
Purpose: This paper aims to propose a robust, future-ready master data management (MDM) architecture that addresses traditional MDM challenges by enhancing data accuracy, trust, and accessibility, while aligning with regulatory frameworks such as the 21st Century Cures Act and TEFCA.
Methodology: Employing a qualitative design-oriented approach, the study combines literature review, technical architecture modeling, and real-world case analyses. Key interoperability standards (HL7/FHIR), decentralized identity protocols (DIDs), and smart contract frameworks were analyzed. The proposed architecture was validated through five empirical case studies, including Estonia’s blockchain-based national health system, and ICU telemetry streaming models. The architecture consists of four layers: IoT data ingestion, real-time stream processing (via Kafka and Flink), blockchain-based trust infrastructure, and a unified MDM layer.
Findings: The architecture addresses longstanding MDM pain points: reducing integration latency from hours to seconds, eliminating duplication through blockchain-backed identity management, and enhancing auditability with immutable ledgers. Key benefits include real-time anomaly detection, improved chronic care monitoring, and secure multi-organizational data sharing. Clinical use cases demonstrated timely updates to patient records and improved data reliability across institutions. Comparative analysis highlighted the architecture’s ability to scale horizontally, support federated governance, and ensure compliance with both HIPAA and GDPR.
Unique contribution to theory, practice, and policy: The study advances theoretical understanding of MDM in the context of decentralized and high-frequency healthcare environments. Practically, it offers a modular, interoperable solution for healthcare IT leaders seeking to modernize legacy infrastructures. From a policy perspective, it outlines a path toward data-sharing frameworks that balance innovation, compliance, and patient autonomy. This research establishes a blueprint for secure, scalable, and intelligent MDM, contributing to the ongoing digital transformation of healthcare systems globally.
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References
Moore, S. (2022). 5 Challenges for Master Data Management in Healthcare. Semarchy Blog. Available: https://semarchy.com/blog/important-mdm-concepts-for-healthcare-data/
Gagnon, M. L. (2018, October 30). Using Blockchain for a Nationwide Patient Index. Healthcare Innovation. Available: https://www.hcinnovationgroup.com/interoperability-hie/article/13030839/using-blockchain-for-a-nationwide-patient-index
Grode, J. (2023). How to Leverage Internet of Things with Master Data Management. Stibo Systems Blog (Feb 14, 2023). Available: https://www.stibosystems.com/blog/3-ways-to-master-your-iot-devices-and-data
HIPAA Journal. (2025). What is the HITECH Act? 2025 Update. (Online article). Available: https://www.hipaajournal.com/what-is-the-hitech-act/
Zheng P., Lau B (2024). Chapter Seven - Internet of things and data science methods for enhanced data processing. Elsevier - Advances in Computers. Volume 133, 2024, pp.181-199. Available: https://doi.org/10.1016/bs.adcom.2023.10.006
Kai Waehner. (2023, November 27). The State of Data Streaming for Healthcare in 2023 with Apache Kafka and Flink. Available: https://www.kai-waehner.de/blog/2023/11/27/the-state-of-data-streaming-for-healthcare-in-2023/
Ekblaw, A., Azaria, A., Halamka, J., & Lippman, A. (2017). MedRec: Blockchain for Medical Data Access, Permission Management and Trend Analysis. MIT Media Lab. Available: https://www.media.mit.edu/publications/medrec-blockchain-for-medical-data-access-permission-management-and-trend-analysis
e-Estonia Briefing Centre. (n.d.). Estonia’s e-Health Records: Smart, Secure, and Patient-Centric. e-estonia.com. Available: https://e-estonia.com/solutions/e-health-2/e-health-records/
U.S. Office of the National Coordinator for Health Information Technology (ONC). (2021). Trusted Exchange Framework and Common Agreement (TEFCA). https://www.healthit.gov/topic/interoperability/trusted-exchange-framework-and-common-agreement
Zhuang Y, Zhang L (2024). Promoting TEFCA with Blockchain Technology: A Decentralized Approach to Patient-centered Healthcare Data Management. AMIA Annu Symp Proc. 2024 Jan 11;2023:824-833. PMID: 38222410; PMCID: PMC10785864. –TEFCA WITH BLOCKCHAIN
Gellert, G. A., Erwich, M. E., & Herdman, S. K. (2024). Challenges meeting 21st Century Cures Act patient identity interoperability and information blocking rules. Journal of Healthcare Quality. 2024 Sep-Oct 01;46(5):306-315. doi: 10.1097/JHQ.0000000000000446. PMID: 39197844
Islam, S. M. R., Kwak, D., Kabir, M. H., Hossain, M., & Kwak, K. S. (2015). The Internet of Things for health care: A comprehensive survey. IEEE Access, 3, 678–708. https://doi.org/10.1109/ACCESS.2015.2437951
Farahani, B., Firouzi, F., et al. (2018). Towards fog-driven IoT eHealth: Promises and challenges of IoT in medicine and healthcare. Future Generation Computer Systems. Volume 78, Part 2, 2018, pp. 659-676. Available: https://doi.org/10.1016/j.future.2017.04.036
Satybaldy, A., Hasselgren, A., & Nowostawski, M. (2022). Decentralized identity management for e-health applications: State-of-the-art and guidance for future work. Blockchain in Healthcare Today, 5. Available: https://doi.org/10.30953/bhty.v5.195
Dock.io (2025). Decentralized Identifiers (DIDs): The Ultimate Beginner's Guide. Dock Blog. Available: https://www.dock.io/post/decentralized-identifiers
Kuo, T.-T., Kim, H.-E., & Ohno-Machado, L. (2017). Blockchain distributed ledger technologies for biomedical and health care applications. Journal of the American Medical Informatics Association, 24(6), 1211–1220. Available: https://doi.org/10.1093/jamia/ocx068
Vazirani AA, O'Donoghue O, Brindley D, Meinert E (2019).
Implementing Blockchains for Efficient Health Care: Systematic Review
J Med Internet Res 2019;21(2):e12439. Available: https://doi.org/10.2196/12439
Mao Z, Liu C, Li Q, Cui Y, Zhou F. (2023). Intelligent Intensive Care Unit: Current and Future Trends. Intensive Care Res. 2023 May 16:1-7. doi: 10.1007/s44231-023-00036-5. Available: https://link.springer.com/article/10.1007/s44231-023-00036-5
Dubovitskaya A, Xu Z, Ryu S, Schumacher M, Wang F. (2018). Secure and Trustable Electronic Medical Records Sharing using Blockchain. AMIA Annu Symp Proc. 2018 Apr 16;2017:650-659. PMID: 29854130; PMCID: PMC5977675.
Bhatia M, Sood SK. (2016). Temporal Informative Analysis in Smart-ICU Monitoring: M-HealthCare Perspective. J Med Syst. 2016 Aug;40(8):190. doi: 10.1007/s10916-016-0547-9. Epub 2016 Jul 7. PMID: 27388507.
Roehrs, A., da Costa, C. A., da Rosa Righi, R., de Oliveira, K. S. F., & da Silva, V. F. (2017). Personal health records: A systematic literature review. Journal of Medical Internet Research, 19(1), e13. Available: https://doi.org/10.2196/jmir.5876
Ichikawa, D., Kashiyama, M., & Ueno, T. (2017). Tamper-resistant mobile health using blockchain technology. JMIR mHealth and uHealth, 5(7), e111. Available: Available: https://doi.org/10.2196/mhealth.7938
Nugent, T., Upton, D., & Cimpoesu, M. (2016). Improving data transparency in clinical trials using blockchain smart contracts. F1000Research, 5, 2541. Available: https://doi.org/10.12688/f1000research.9756.1
Gordon, W. J., Catalini, C. (2018). Blockchain Technology for Healthcare: Facilitating the Transition to Patient-Driven Interoperability. Elsevier - Computational and Structural Biotechnology Journal. Volume 16, 2018, pp. 224-230. Available: https://doi.org/10.1016/j.csbj.2018.06.003
HealthIT.gov (2024). Health Level 7 (HL7) Fast Healthcare Interoperability Resources (FHIR). healthit.gov. Available: https://www.healthit.gov/topic/standards-technology/standards/fhir
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