Preserving Patient Privacy During Computation over Shared Electronic Health Record Data

Patient Electronic Health Records (EHRs) contain valuable clinical data that is useful for medical research and public health inquires. However, patient privacy regulation and improper resource sharing risks limit access to EHR medical data for research and public health purposes. In this paper, we...

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Bibliographic Details
Published in:Journal of medical systems 2022-10, Vol.46 (12), p.85-85, Article 85
Main Authors: d’Aliberti, Olivia G., Clark, Mark A.
Format: Article
Language:English
Subjects:
Computer Security
Confidentiality
Data encryption
Data integrity
Electronic Health Records
Electronic medical records
Health Informatics
Health Sciences
Humans
Implementation Science & Operations Management
Medical research
Medicine
Medicine & Public Health
Microprocessors
Patients
Platinum
Privacy
Public health
Security
Statistics for Life Sciences
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Summary:Patient Electronic Health Records (EHRs) contain valuable clinical data that is useful for medical research and public health inquires. However, patient privacy regulation and improper resource sharing risks limit access to EHR medical data for research and public health purposes. In this paper, we introduce an end-to-end security solution that addresses both concerns and facilitates the sharing of patient EHR data over an unsecured third-party server using a leveled homomorphic encryption (LHE) scheme. Time testing for aggregating queries and linear computations was carried out using an HPE ProLiant DL580 Gen 10 server with an Intel Xeon Platinum 8280 Processor.
ISSN:1573-689X
0148-5598
1573-689X
DOI:10.1007/s10916-022-01865-5