Literature DB >> 36261623

Preserving Patient Privacy During Computation over Shared Electronic Health Record Data.

Olivia G d'Aliberti1, Mark A Clark2.   

Abstract

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.
© 2022. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  Electronic Health Records; Fast Healthcare Interoperability Resources; Homomorphic Encryption; Personally Identifiable Information; Protected Health Information

Mesh:

Substances:

Year:  2022        PMID: 36261623     DOI: 10.1007/s10916-022-01865-5

Source DB:  PubMed          Journal:  J Med Syst        ISSN: 0148-5598            Impact factor:   4.920


  2 in total

1.  The disclosure of diagnosis codes can breach research participants' privacy.

Authors:  Grigorios Loukides; Joshua C Denny; Bradley Malin
Journal:  J Am Med Inform Assoc       Date:  2010 May-Jun       Impact factor: 4.497

2.  A secure distributed logistic regression protocol for the detection of rare adverse drug events.

Authors:  Khaled El Emam; Saeed Samet; Luk Arbuckle; Robyn Tamblyn; Craig Earle; Murat Kantarcioglu
Journal:  J Am Med Inform Assoc       Date:  2012-08-07       Impact factor: 4.497

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.