Evidence map›Paper›PMID 20051768›Full record

ArticleJournal of investigative medicine : the official publication of the American Federation for Clinical Research2010

Technical and policy approaches to balancing patient privacy and data sharing in clinical and translational research.

Bradley Malin, David Karp, Richard H Scheuermann

Abstract read
In one paragraph

Article in Journal of investigative medicine : the official publication of the American Federation for Clinical Research, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.

0numbers the graph read from it
0cells of the map it votes in
48citing 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

48 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Recent Developments in Privacy-Preserving Mining of Clinical Data.ACM/IMS transactions on data science · 2021
    Article
  11. Article
  12. PheMap: a multi-resource knowledge base for high-throughput phenotyping within electronic health records.Journal of the American Medical Informatics Association : JAMIA · 2020
    Article
  13. Article
  14. Article
  15. Article
  16. Biomedical Research Cohort Membership Disclosure on Social Media.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2019
    Article
  17. Is It Ethical to Use Genealogy Data to Solve Crimes?Annals of internal medicine · 2018
    Article
  18. Article
  19. Biospecimens and Biobanking in Global Health.Clinics in laboratory medicine · 2018
    Review
  20. Assessing privacy risks in population health publications using a checklist-based approach.Journal of the American Medical Informatics Association : JAMIA · 2018
    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

3 authors.

Bradley MalinDepartment of Biomedical Informatics, Vanderbilt University, Nashville, TN 37203, USA. b.malin@vanderbilt.edu
David Karp
Richard H Scheuermann

Funding

NORTH AND CENTRAL TEXAS CTSA FOR PEDIATRIC RESEARCHUL1RR024982 · NCRR · UT SOUTHWESTERN MEDICAL CENTER · PI TOTO, ROBERT DANIEL · 2007 to 2011
$27.9M
Vanderbilt Genome-Electronic Records ProjectU01HG004603 · NHGRI · VANDERBILT UNIVERSITY · PI RODEN, DAN M · 2007 to 2011
$7.3M
Technologies to Enable Privacy in Biomedical DatabanksR01LM009989 · NLM · VANDERBILT UNIVERSITY MEDICAL CENTER · PI MALIN, BRADLEY A. · 2009 to 2014
$1.6M
NCRR NIH HHS UL1RR023468NCRR NIH HHS UL1 RR024982NCRR NIH HHS UL1RR024982NHGRI NIH HHS U01 HG004603NHGRI NIH HHS U01HG004603NIAID NIH HHS N01 AI040076NLM NIH HHS R01 LM009989NLM NIH HHS R01LM009989
6 · The paper itself

Abstract

introductionClinical researchers need to share data to support scientific validation and information reuse and to comply with a host of regulations and directives from funders. Various organizations are constructing informatics resources in the form of centralized databases to ensure reuse of data derived from sponsored research. The widespread use of such open databases is contingent on the protection of patient privacy.

methodsWe review privacy-related problems associated with data sharing for clinical research from technical and policy perspectives. We investigate existing policies for secondary data sharing and privacy requirements in the context of data derived from research and clinical settings. In particular, we focus on policies specified by the US National Institutes of Health and the Health Insurance Portability and Accountability Act and touch on how these policies are related to current and future use of data stored in public database archives. We address aspects of data privacy and identifiability from a technical, although approachable, perspective and summarize how biomedical databanks can be exploited and seemingly anonymous records can be reidentified using various resources without hacking into secure computer systems.

resultsWe highlight which clinical and translational data features, specified in emerging research models, are potentially vulnerable or exploitable. In the process, we recount a recent privacy-related concern associated with the publication of aggregate statistics from pooled genome-wide association studies that have had a significant impact on the data sharing policies of National Institutes of Health-sponsored databanks.

conclusionBased on our analysis and observations we provide a list of recommendations that cover various technical, legal, and policy mechanisms that open clinical databases can adopt to strengthen data privacy protection as they move toward wider deployment and adoption.

Indexed as

Information DisseminationPrivacyTranslational Research, BiomedicalBase SequenceComputer SecurityGenome-Wide Association StudyGenotypeHumansNational Institutes of Health (U.S.)PhenotypeUnited States

Identifiers

PMID20051768
PMCPMC2836827

What OpenQuestion holds

Textmetadata
LicenceTDM
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.