Evidence map›Paper›PMID 25954421›Full record

ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2014

SOEMPI: A Secure Open Enterprise Master Patient Index Software Toolkit for Private Record Linkage.

Csaba Toth, Elizabeth Durham, Murat Kantarcioglu, Yuan Xue, Bradley Malin

Open access · greenAbstract read
In one paragraph

Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.4field-weighted citation impact, top 26% of its field
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

6 citing papers in PubMed, 15 citations in OpenAlex.

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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

5 authors at 1 institution in 1 country.

Csaba TothDept. of Biomedical Informatics, Vanderbilt University, Richardson, TX.
Elizabeth DurhamDept. of Biomedical Informatics, Vanderbilt University, Richardson, TX.
Murat KantarciogluDept. of Computer Science, University of Texas at Dallas, Richardson, TX.
Yuan XueDept. of Electrical Engineering & Computer Science, Vanderbilt University, Nashville, TN.
Bradley MalinDept. of Biomedical Informatics, Vanderbilt University, Richardson, TX ; Dept. of Electrical Engineering & Computer Science, Vanderbilt University, Nashville, TN.
The University of Texas at Dallas · US

Funding

Mayo Clinic Center for Translational Science ActivitiesUL1TR000135 · NCATS · MAYO CLINIC ROCHESTER · PI KHOSLA, SUNDEEP · 2012 to 2015
$41.2M
Technologies to Enable Privacy in Biomedical DatabanksR01LM009989 · NLM · VANDERBILT UNIVERSITY MEDICAL CENTER · PI MALIN, BRADLEY A. · 2009 to 2014
$1.6M
NCATS NIH HHS UL1 TR000135NCATS NIH HHS UL1-TR000135NLM NIH HHS R01 LM009989NLM NIH HHS R01-LM009989
6 · The paper itself

Abstract

To mitigate bias in multi-institutional research studies, healthcare organizations need to integrate patient records. However, this process must be accomplished without disclosing the identities of the corresponding patients. Various private record linkage (PRL) techniques have been proposed, but there is a lack of translation into practice because no software suite supports the entire PRL lifecycle. This paper addresses this issue with the introduction of the Secure Open Enterprise Master Patient Index (SOEMPI). We show how SOEMPI covers the PRL lifecycle, illustrate the implementation of several PRL protocols, and provide a runtime analysis for the integration of two datasets consisting of 10,000 records. While the PRL process is slower than a non-secure setting, our analysis shows the majority of processes in a PRL protocol require several seconds or less and that SOEMPI completes the process in approximately two minutes, which is a practical amount of time for integration.

Indexed as

SoftwareAlgorithmsComputer SecurityMedical Record LinkageOwnership

Identifiers

PMID25954421
PMCPMC4419976
OpenAlexW2408445086

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.