Measuring the Compliance Costs of Exchanging Part 2 Healthcare Claims Data Through Blockchain

dc.contributor.authorMandlem, Satyasai
dc.contributor.authorClavin, James
dc.contributor.authorJoshi, Karuna
dc.date.accessioned2026-03-26T14:26:06Z
dc.date.issued2026-02
dc.description.abstractPatient selections for keeping data confidential may differ between healthcare organizations, creating conflicts in confidentiality for how sensitive and demographic data is linked and merged. Validating that patient data exchange between organizations adheres to healthcare regulations, like the Health Insurance Portability and Accountability Act (HIPAA), is challenging and time-consuming and relies upon organizational due diligence to validate data upon receipt, or in the case of breaches, requires forensic examination to determine the scale of the breach. We address the need for timely compliance evaluation of substance abuse and mental health claims data exchanged between organizations by developing a novel approach integrating blockchain technology with semantic reasoners. The foundation of our methodology is an Ethereum blockchain integrated with a knowledge graph built from the clinical terms for sensitive data value sets maintained by the National Institutes of Health Value Set Authority Center for identifying health data protected by United States Title 42 Code of Federal Regulations (CFR) Part 2. When claims data is transferred, it is first validated by reasoning over the CFR Part 2 knowledge graph. Then the exchange is audited using the Ethereum blockchain to seek out sensitive patient data violating the rules. This paper presents our novel methodology in detail along with the results of sharing sensitive Part 2 data. The time and cost to detect and log out of compliance data transfers are measured and compared to the manual process equivalent. Our methodology can be used by organizations to ensure real-time auditable compliance for a secure and trusted health data exchange. CCS Concepts: • Applied computing → Health care information systems; • Computer systems organization → Peer-to-peer architectures; • Security and privacy → Information accountability and usage control; Economics of security and privacy.
dc.description.sponsorshipThis research was partially supported by NSF award 1747724
dc.description.urihttps://ebiquity.umbc.edu/_file_directory_/papers/1489.pdf
dc.format.extent19 pages
dc.genrejournal articles
dc.genrepreprints
dc.identifierdoi:10.13016/m27jjg-fiev
dc.identifier.urihttp://hdl.handle.net/11603/42179
dc.language.isoen
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Student Collection
dc.relation.ispartofUMBC Faculty Collection
dc.relation.ispartofUMBC Computer Science and Electrical Engineering Department
dc.relation.ispartofUMBC Information Systems Department
dc.relation.ispartofA. All Hilltop Institute (UMBC) Works
dc.rightsThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.
dc.subjectUMBC Knowledge, Analytics, Cognitive and Cloud Computing (KnACC) lab
dc.subjectUMBC Ebiquity Researh Group
dc.subjectUMBC Cybersecurity Institute
dc.titleMeasuring the Compliance Costs of Exchanging Part 2 Healthcare Claims Data Through Blockchain
dc.typeText
dcterms.creatorhttps://orcid.org/0000-0001-5745-0158
dcterms.creatorhttps://orcid.org/0000-0002-6354-1686

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
1489.pdf
Size:
3.14 MB
Format:
Adobe Portable Document Format