Imagen de Portada
Código QR

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...

Descripción completa

Publicado en:Journal of Medical Systems Vol. 46; no. 12; pp. 1 - 9
Autores principales: d'Aliberti, Olivia G., Clark, Mark A.
Formato: computer program research tables/charts Journal Article
Publicado: Springer Nature Dec2022
Acceso en línea:Ver este registro en EBSCOhost
fields @attributes:
  recordID: 1
pdfLink:
plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=160563217&site=ehost-live
header:
  @attributes:
    shortDbName: ccm
    uiTerm: 160563217
    longDbName: CINAHL Complete
    uiTag: AN
  controlInfo:
    bkinfo:
    dissinfo:
    jinfo:
      jid:
        01485598
        4N0
      jtl: Journal of Medical Systems
      issn: 01485598
      maglogo: N
    pubinfo:
      dt: Dec2022
      vid: 46
      iid: 12
      pid: 237
      pub: Springer Nature
      place: New York, New York
    artinfo:
      ui:
        160563217
        160563217
        160563217
        10.1007/s10916-022-01865-5
        160563217
      ppf: 1
      ppct: 8
      formats:
        fmt:
          – @attributes:
              type: T
          – @attributes:
              type: P
      tig:
        atl: Preserving Patient Privacy During Computation over Shared Electronic Health Record Data.
      aug:
        au:
          d'Aliberti, Olivia G.
          Clark, Mark A.
        affil: Leidos Inc, Arlington, VA, United States
      sug:
        subj:
          Privacy and Confidentiality
          Electronic Health Records
          Health Informatics
          Communication
          Data Security
          Encryption
          Human
          Descriptive Statistics
          Access to Information
          Regression
          Health Information
          Data Analysis Software
          Electronic Data Interchange
          Health Level 7
          Linear Regression
          Data Mining
          Client-Server Application
          Research Personnel
          Secondary Analysis
          Health Information Management
          Organizations
          Systems Implementation
          Systems Analysis
          Models, Statistical
      ab: 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.
      pubtype: Academic Journal
      doctype:
        computer program
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
    refInfo:
    holdings:
      @attributes:
        islocal: N