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

Computerised linking of medical records: methodological guidelines

L Gill1, M Goldacre, H Simmons

  • 1Department of Public Health and Primary Care, University of Oxford, Oxford Regional Health Authority, Headington.

Journal of Epidemiology and Community Health
|August 1, 1993
PubMed
Summary

Computer-assisted methods enhance medical record linkage. Probability matching significantly improves accuracy over exact comparisons for research and patient care.

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

Peripheral blood cfDNA detection using clonoSEQ assay in multiple myeloma is concordant with bone marrow and clinical biomarkers.

Blood cancer journal·2026
Same author

Multi-Platform Curation in the Development of ACMG/AMP Specifications for Von Hippel Lindau (VHL) Disease.

medRxiv : the preprint server for health sciences·2025
Same author

Pediatric practice experiences with second dose influenza vaccination: An AAP Pediatric Research in Office Settings (PROS) Study.

Public health·2024
Same author

Single-Cell Transcriptomic Analysis of Kaposi Sarcoma.

bioRxiv : the preprint server for biology·2024
Same author

The effect of a startle-based warning, age, sex, and secondary task on takeover actions in critical autonomous driving scenarios.

Frontiers in bioengineering and biotechnology·2023
Same author

Repositioning forward-leaning vehicle occupants with a pre-pretensioner belt and a startle-based warning in pre-crash scenarios.

Traffic injury prevention·2022

Area of Science:

  • Health Informatics
  • Biostatistics
  • Medical Record Management

Background:

  • Increasing digitization of health data necessitates robust methods for record linkage.
  • Linking medical records is crucial for both clinical research and patient care improvements.
  • Traditional record linkage methods often lack the scalability and accuracy required for large datasets.

Purpose of the Study:

  • To develop and report on computer-assisted methodologies for linking medical records and their abstracts.
  • To enhance the accuracy and efficiency of creating comprehensive patient records from disparate data sources.

Main Methods:

  • Employed file blocking for efficient record ordering and searching.
  • Utilized probability matching with an array of identifiers for comparing and linking records.

Related Experiment Videos

  • Incorporated linkage for assembling time-sequenced composite records and validation checks for data correction.
  • Main Results:

    • Probability matching demonstrated significantly higher correct matching rates compared to exact character comparisons.
    • The developed methods facilitate the creation of accurate, time-sequenced composite records for individuals.
    • Validation checks were effective in identifying and correcting inconsistencies within linked records.

    Conclusions:

    • Advanced computer-assisted methods, particularly probability matching, offer superior accuracy in medical record linkage.
    • The increasing availability of health data through information technology supports large-scale record linkage.
    • These sophisticated linkage methods are essential for advancing medical research and enhancing patient care.