Evidence map›Paper›PMID 21346965›Full record

ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2010

Private medical record linkage with approximate matching.

Elizabeth Durham, Yuan Xue, Murat Kantarcioglu, Bradley Malin

Abstract read
In one paragraph

Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Biomedical data privacy: problems, perspectives, and recent advances.Journal of the American Medical Informatics Association : JAMIA · 2013
    Article
  5. Article
  6. Article
  7. A simple heuristic for blindfolded record linkage.Journal of the American Medical Informatics Association : JAMIA · 2012
    Article
  8. Article
  9. Article
  10. Article
  11. Privacy preserving interactive record linkage (PPIRL).Journal of the American Medical Informatics Association : JAMIA
    Review
  12. A practical approach to achieve private medical record linkage in light of public resources.Journal of the American Medical Informatics Association : JAMIA
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Elizabeth DurhamDepartment of Biomedical Informatics, Vanderbilt University, Nashville, TN;
Yuan Xue
Murat Kantarcioglu
Bradley Malin

Funding

Vanderbilt Biomedical Informatics Training ProgramT15LM007450 · NLM · VANDERBILT UNIVERSITY · PI Jessica S. Ancker, Bradley A. Malin · 2002 to 2026
$19.7M
Technologies to Enable Privacy in Biomedical DatabanksR01LM009989 · NLM · VANDERBILT UNIVERSITY MEDICAL CENTER · PI MALIN, BRADLEY A. · 2009 to 2014
$1.6M
NLM NIH HHS R01 LM009989NLM NIH HHS T15 LM007450
6 · The paper itself

Abstract

Federal regulations require patient data to be shared for reuse in a de-identified manner. However, disparate providers often share data on overlapping populations, such that a patient's record may be duplicated or fragmented in the de-identified repository. To perform unbiased statistical analysis in a de-identified setting, it is crucial to integrate records that correspond to the same patient. Private record linkage techniques have been developed, but most methods are based on encryption and preclude the ability to determine similarity, decreasing the accuracy of record linkage. The goal of this research is to integrate a private string comparison method that uses Bloom filters to provide an approximate match, with a medical record linkage algorithm. We evaluate the approach with 100,000 patients' identifiers and demographics from the Vanderbilt University Medical Center. We demonstrate that the private approximation method achieves sensitivity that is, on average, 3% higher than previous methods.

Indexed as

AlgorithmsMedical Record LinkageHumansMedical Records Systems, ComputerizedNames

Identifiers

PMID21346965
PMCPMC3041434

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.