Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

A computerized record hash coding and linkage procedure to warrant epidemiological follow-up data security.

C Quantin1, H Bouzelat, L Dusserre

  • 1Department of Medical Informatics, Teaching Hospital of Dijon, France. cquantin@u-bourgogne.fr

Studies in Health Technology and Informatics
|December 8, 1996
PubMed
Summary

This study introduces a secure method for linking anonymous patient data using hash coding (SHA) and statistical models. This approach ensures data privacy for epidemiological follow-up while enabling effective information chaining.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Changes in Hospitalization for Eating Disorders and Related Suicidal Risk, Following COVID-19 Pandemic.

Depression and anxiety·2026
Same author

Reliability of a French hospital administrative database to measure self-harm in epidemiology studies.

General hospital psychiatry·2024
Same author

Author reply.

BJOG : an international journal of obstetrics and gynaecology·2024
Same author

[Comparison of mortality of lung cancer resections in France to other European countries].

Revue des maladies respiratoires·2022
Same author

Prolonged impact of the COVID-19 pandemic on self-harm hospitalizations in France: A nationwide retrospective observational study.

European psychiatry : the journal of the Association of European Psychiatrists·2022
Same author

Revue d'epidemiologie et de sante publique·2022

Area of Science:

  • Computer Science
  • Epidemiology
  • Data Security

Background:

  • Epidemiological studies require robust methods for linking patient data.
  • Maintaining patient privacy and data security is paramount due to strict legislation.
  • Existing data linkage methods may pose privacy risks.

Purpose of the Study:

  • To propose a novel computerized procedure for secure chaining of medical information.
  • To ensure patient data anonymity using advanced cryptographic techniques.
  • To facilitate reliable data linkage for epidemiological follow-up.

Main Methods:

  • Implementation of a one-way hash coding procedure based on the SHA function.
  • Addition of two keys to SHA coding to prevent dictionary attacks.

Related Experiment Videos

  • Utilizing a statistical model with multiple identification variables for data linkage.

    • Main Results:

    • Successful anonymization of medical files prior to extraction.
    • Demonstration of a secure method for linking anonymous patient records.
    • The procedure respects data privacy and security legislation.

    Conclusions:

    • The proposed hash coding and linkage procedure offers a secure and effective solution for epidemiological research.
    • This method enhances data privacy while enabling essential patient information chaining.
    • The system provides a framework for compliant and efficient health data analysis.