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

Analysis of identifier performance using a deterministic linkage algorithm.

Shaun J Grannis1, J Marc Overhage, Clement J McDonald

  • 1Regenstrief Institute for Health Care, Indianapolis, IN, USA.

Proceedings. AMIA Symposium
|December 5, 2002
PubMed
Summary
This summary is machine-generated.

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

An Interoperability Moonshot Proposal.

Applied clinical informatics·2026
Same author

Interim Estimated Effectiveness of 2025-2026 COVID-19 Vaccines in Adults Using a Test-Negative Design.

JAMA network open·2026
Same author

Influenza Activity and Estimated Vaccine Effectiveness During the 2025-2026 Influenza Season.

JAMA network open·2026
Same author

Estimated Effectiveness of 2024-2025 COVID-19 Vaccines in Adults.

JAMA internal medicine·2026
Same author

Influenza vaccine effectiveness against influenza-associated hospitalizations and emergency department or urgent care encounters among children and adults - United States, 2024-25 season.

medRxiv : the preprint server for health sciences·2026
Same author

Interim Estimates of 2025-26 Seasonal Influenza Vaccine Effectiveness - United States, September 2025-February 2026.

MMWR. Morbidity and mortality weekly report·2026
Same journal

Progressive display of very high resolution images using wavelets.

Proceedings. AMIA Symposium·2002
Same journal

The Chronus II temporal database mediator.

Proceedings. AMIA Symposium·2002
Same journal

Gene expression levels in different stages of progression in oral squamous cell carcinoma.

Proceedings. AMIA Symposium·2002
Same journal

An assessment of the visibility of MeSH-indexed medical web catalogs through search engines.

Proceedings. AMIA Symposium·2002
Same journal

Filtering for medical news items using a machine learning approach.

Proceedings. AMIA Symposium·2002
Same journal

Enriching the structure of the UMLS semantic network.

Proceedings. AMIA Symposium·2002
See all related articles

Linking patient records to death data is crucial. Combining Social Security Number, name, birth date, and gender accurately links de-identified patient data with high sensitivity and specificity.

Area of Science:

  • Health Informatics
  • Biostatistics
  • Data Science

Background:

  • Accurate linkage of patient registry data to mortality files is essential for epidemiological studies and public health surveillance.
  • De-identified patient data presents unique challenges for record linkage due to the absence of direct identifiers.

Purpose of the Study:

  • To evaluate the performance of demographic variables in linking de-identified patient records from hospital registries to the Social Security Death Master File.
  • To develop and validate an accurate de-identified record linkage algorithm.

Main Methods:

  • Analysis of 6,000 record-pairs from two hospital registries and the Social Security Death Master File to establish a linkage gold standard.
  • Evaluation of linkage accuracy using variables such as Social Security Number, phonetically compressed first name, birth month, gender, and birth date.

Related Experiment Videos

Main Results:

  • Exclusive use of Social Security Number resulted in linkage error rates of 4.7% and 9.2%.
  • A combination of Social Security Number, phonetically compressed first name, birth month, and gender identified 87-88% of links with no false positives.
  • Sensitivities of 90-92% with 100% specificity were achieved using combinations of Social Security Number, gender, name, and birth date.

Conclusions:

  • Demographic variables, particularly Social Security Number, name, birth date, and gender, can accurately link de-identified patient records to death data.
  • The developed linkage method provides a reliable basis for a generalized de-identified linkage algorithm for health research.