Evidence map›Paper›PMID 21873473›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2012

Implementation of a deidentified federated data network for population-based cohort discovery.

Nicholas Anderson, Aaron Abend, Aaron Mandel, Estella Geraghty, Davera Gabriel, Rob Wynden, Michael Kamerick, Kent Anderson, Julie Rainwater, Peter Tarczy-Hornoch

Open access · hybridAbstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
8.5field-weighted citation impact, top 2% 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

26 citing papers in PubMed, 47 citations in OpenAlex.

  1. The Detection of Date Shifting in Real-World Data.Applied clinical informatics · 2023
    Article
  2. Article
  3. Article
  4. ACE: the Advanced Cohort Engine for searching longitudinal patient records.Journal of the American Medical Informatics Association : JAMIA · 2021
    Article
  5. Review
  6. Article
  7. Characterizing Basic and Complex Usage of i2b2 at an Academic Medical Center.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2020
    Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Federated queries of clinical data repositories: the sum of the parts does not equal the whole.Journal of the American Medical Informatics Association : JAMIA · 2013
    Article
  18. Ancillary study management systems: a review of needs.BMC medical informatics and decision making · 2013
    Article
  19. Article
  20. 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

10 authors at 3 institutions in 1 country.

Nicholas AndersonDepartment of Biomedical Health Informatics, University of Washington, Seattle, Washington 98109, USA. nicka@uw.edu
Aaron Abend
Aaron Mandel
Estella Geraghty
Davera Gabriel
Rob Wynden
Michael Kamerick
Kent Anderson
Julie Rainwater
Peter Tarczy-Hornoch
University of California, Davis · USUniversity of Washington · USUniversity of California, San Francisco · US

Funding

UCSF CLINICAL AND TRANSLATIONAL SCIENCE INSTITUTEUL1RR024131 · NCRR · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI JOHNSTON, S. CLAIBORNE · 2006 to 2011
$111.2M
INSTITUTE FOR TRANSLATIONAL HEALTH SCIENCE (UL1): BPCAUL1RR025014 · NCRR · UNIVERSITY OF WASHINGTON · PI DISIS, MARY L. · 2007 to 2011
$51.5M
UC DAVIS CLINICAL AND TRANSLATIONAL SCIENCE CENTER: BPCAUL1RR024146 · NCRR · UNIVERSITY OF CALIFORNIA AT DAVIS · PI BERGLUND, LARS F · 2006 to 2011
$27.0M
NCRR NIH HHS UL1 RR024131NCRR NIH HHS UL1 RR024146NCRR NIH HHS UL1 RR025014NHLBI NIH HHS HHSN268200700031C
6 · The paper itself

Abstract

objectiveThe Cross-Institutional Clinical Translational Research project explored a federated query tool and looked at how this tool can facilitate clinical trial cohort discovery by managing access to aggregate patient data located within unaffiliated academic medical centers.

methodsThe project adapted software from the Informatics for Integrating Biology and the Bedside (i2b2) program to connect three Clinical Translational Research Award sites: University of Washington, Seattle, University of California, Davis, and University of California, San Francisco. The project developed an iterative spiral software development model to support the implementation and coordination of this multisite data resource.

resultsBy standardizing technical infrastructures, policies, and semantics, the project enabled federated querying of deidentified clinical datasets stored in separate institutional environments and identified barriers to engaging users for measuring utility. DISCUSSION: The authors discuss the iterative development and evaluation phases of the project and highlight the challenges identified and the lessons learned.

conclusionThe common system architecture and translational processes provide high-level (aggregate) deidentified access to a large patient population (>5 million patients), and represent a novel and extensible resource. Enhancing the network for more focused disease areas will require research-driven partnerships represented across all partner sites.

Indexed as

Computer Communication NetworksConfidentialityDatabases as TopicHumansInformation Storage and RetrievalLogical Observation Identifiers Names and CodesSoftwareTranslational Research, Biomedical

Identifiers

PMID21873473
PMCPMC3392860
OpenAlexW410737081

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.