Evidence map›Paper›PMID 25954383›Full record

ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2014

De-identification of Address, Date, and Alphanumeric Identifiers in Narrative Clinical Reports.

Mehmet Kayaalp, Allen C Browne, Zeyno A Dodd, Pamela Sagan, Clement J McDonald

Registry-linked trialAbstract readComparative Study
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. It is linked to trial NCT02795806 (NLM Scrubber), which is not on this map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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.

NCT02795806 enrolling by invitationnot on this mapstarted 2016, after this paper: background citation

NLM Scrubber: NLM's Software Application to De-identify Clinical Text Documents

TypeobservationalSponsorNational Library of Medicine (NLM)Ran2016 to 2027Enrolled50,000ConditionsPersonally Identifiable Information
3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Pragmatic De-Identification of Cross-Domain Unstructured Documents: A Utility-Preserving Approach with Relation Extraction Filtering.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2024
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Patient Privacy in the Era of Big Data.Balkan medical journal · 2018
    Review
  10. Article
  11. Modes of De-identification.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2017
    Article
  12. Challenges and Insights in Using HIPAA Privacy Rule for Clinical Text Annotation.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2015
    Article
  13. The Challenges of Creating a Gold Standard for De-identification Research.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2014
    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

5 authors.

Mehmet KayaalpLister Hill National Center for Biomedical Communications, U.S. National Library of Medicine, National Institutes of Health, Bethesda, MD.
Allen C BrowneLister Hill National Center for Biomedical Communications, U.S. National Library of Medicine, National Institutes of Health, Bethesda, MD.
Zeyno A DoddLister Hill National Center for Biomedical Communications, U.S. National Library of Medicine, National Institutes of Health, Bethesda, MD.
Pamela SaganLister Hill National Center for Biomedical Communications, U.S. National Library of Medicine, National Institutes of Health, Bethesda, MD.
Clement J McDonaldLister Hill National Center for Biomedical Communications, U.S. National Library of Medicine, National Institutes of Health, Bethesda, MD.

Funding

NLM's Software Application to De-identify Clinical Text DocumentsZIALM010002 · NLM · NATIONAL LIBRARY OF MEDICINE · PI KAYAALP, MEHMET · 2010 to 2020
$5.9M
Intramural NIH HHS
6 · The paper itself

Abstract

introductionThe Privacy Rule of Health Insurance Portability and Accountability Act requires that clinical documents be stripped of personally identifying information before they can be released to researchers and others. We have been developing a software application, NLM Scrubber, to de-identify narrative clinical reports.

methodsWe compared NLM Scrubber with MIT's and MITRE's de-identification systems on 3,093 clinical reports about 1,636 patients. The performance of each system was analyzed on address, date, and alphanumeric identifier recognition separately. Their overall performance on de-identification and on conservation of the remaining clinical text was analyzed as well.

resultsNLM Scrubber's sensitivity on de-identifying these identifiers was 99%. It's specificity on conserving the text with no personal identifiers was 99% as well.

conclusionThe current version of the system recognizes and redacts patient names, alphanumeric identifiers, addresses and dates. We plan to make the system available prior to the AMIA Annual Symposium in 2014.

Indexed as

ConfidentialityElectronic Health RecordsSoftwareComputer SecurityHealth Insurance Portability and Accountability ActUnited States

Identifiers

PMID25954383
PMCPMC4419982

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.