Medicare meets the cloud: the development of a secure platform for the storage and analysis of claims data
- PMID: 38344670
- PMCID: PMC10856805
- DOI: 10.1093/jamiaopen/ooae007
Medicare meets the cloud: the development of a secure platform for the storage and analysis of claims data
Abstract
Introduction: Cloud-based solutions are a modern-day necessity for data intense computing. This case report describes in detail the development and implementation of Amazon Web Services (AWS) at Emory-a secure, reliable, and scalable platform to store and analyze identifiable research data from the Centers for Medicare and Medicaid Services (CMS).
Materials and methods: Interdisciplinary teams from CMS, MBL Technologies, and Emory University collaborated to ensure compliance with CMS policy that consolidates laws, regulations, and other drivers of information security and privacy.
Results: A dedicated team of individuals ensured successful transition from a physical storage server to a cloud-based environment. This included implementing access controls, vulnerability scanning, and audit logs that are reviewed regularly with a remediation plan. User adaptation required specific training to overcome the challenges of cloud computing.
Conclusion: Challenges created opportunities for lessons learned through the creation of an end-product accepted by CMS and shared across disciplines university-wide.
Keywords: AWS; CMS; cloud computing; technical architecture.
© The Author(s) 2024. Published by Oxford University Press on behalf of the American Medical Informatics Association.
Conflict of interest statement
None declared.
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References
-
- De Donno M, Tange K, Dragoni N.. Foundations and evolution of modern computing paradigms: Cloud, IoT, edge, and fog. IEEE Access. 2019;7:150936-150948. doi:10.1109/ACCESS.2019.2947652 - DOI
-
- Alkasem A, Liu H, Zuo D, Algarash B.. Cloud computing: a model construct of real-time monitoring for big dataset analytics using apache spark. J Phys: Conf Ser. 2018;933:012018. doi:10.1088/1742-6596/933/1/012018 - DOI
-
- Sareen P. Cloud computing: Types, architecture, applications, concerns, virtualization and role of IT governance in cloud. IJARCSSE. 2013;3(3):533-538.
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