Earticle

초록

영어

This paper proposes a practical, privacypreserving healthcare data-sharing architecture that integrates a local CDM(Common Data Model) with a FHIR (Fast Healthcare Interoperability Resources)–based self-serve interface under a federated data-mesh governance model. Each organization operates autonomously as a domain team and maintains its own data lake. In the upload flow, source data are standardized into a local CDM and passed through a De-ID gate for pseudonymization, date shifting, generalization, and freetext PII redaction before being stored in a Processed-DeID zone. In the download flow, only cataloged and validated data products are exposed as FHIR resources, where context- and authorization-aware dynamic masking is applied, with support for Bulk Export and incremental queries. Federated computational governance enforces standards, security, and change management as policy-as-code, ensuring consistent compliance at deploy time and runtime. Internally, CDM ensures data quality and consistency; across organizations, FHIR simplifies data contracts and standardizes discovery, authorization, and use. The architecture enables safe exchange and reuse even among institutions with different CDMs, while improving lineage visibility, accountability, operational scalability, and change predictability. This two-layer model can serve as a reference architecture for accelerating data flows across clinical, research, and industry collaborations.

목차

Abstract
I. INTRODUCTION
II. RELATED WORK
A. CDM
B. FHIR
C. Data Mesh
III. SYSTEM OVERVIEW
IV. SYSTEM ARCHITECTURE
A. Upload
B. Download
V. CONCLUSION
ACKNOWLEDGMENT
REFERENCES

저자

• Hyeongyeom Kim [ Computer Science and Engineering Hoseo University Asan-si, Republic of Korea ]
• Manuk Han [ Computer Science and Engineering Hoseo University Asan-si, Republic of Korea ]
• Howoong Lee [ Computer Science and Engineering Hoseo University Asan-si, Republic of Korea ] Corresponding Author

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