Evidence map›Paper›PMID 31058261›Full record

ArticleAnnual review of biomedical data science2018

Privacy Policy and Technology in Biomedical Data Science.

April Moreno Arellano, Wenrui Dai, Shuang Wang, Xiaoqian Jiang, Lucila Ohno-Machado

Abstract read
In one paragraph

Article in Annual review of biomedical data science, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
–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

23 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Privacy-Enhancing Technologies in Biomedical Data Science.Annual review of biomedical data science · 2024
    Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Session Introduction: TOWARDS ETHICAL BIOMEDICAL INFORMATICS: LEARNING FROM OLELO NOEAU, HAWAIIAN PROVERBS.Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing · 2023
    Article
  13. Article
  14. Review
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  17. Review
  18. Article
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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.

April Moreno Arellano *Department of Biomedical Informatics, School of Medicine, University of California, San Diego, La Jolla, California 92093, USA; lohnomachado@ucsd.edu.
Wenrui Dai *Department of Biomedical Informatics, School of Medicine, University of California, San Diego, La Jolla, California 92093, USA; lohnomachado@ucsd.edu.
Shuang WangDepartment of Biomedical Informatics, School of Medicine, University of California, San Diego, La Jolla, California 92093, USA; lohnomachado@ucsd.edu.
Xiaoqian JiangDepartment of Biomedical Informatics, School of Medicine, University of California, San Diego, La Jolla, California 92093, USA; lohnomachado@ucsd.edu.
Lucila Ohno-MachadoDepartment of Biomedical Informatics, School of Medicine, University of California, San Diego, La Jolla, California 92093, USA; lohnomachado@ucsd.edu.

Funding

iDASH: Integrating Data for Analysis, Anonymization, and SharingU54HL108460 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI OHNO-MACHADO, LUCILA · 2010 to 2015
$19.1M
San Diego Biomedical Informatics Education & Research (SABER)T15LM011271 · NLM · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SHAMIM NEMATI · 2012 to 2026
$9.7M
Decentralized differentially-private methods for dynamic data release and analysisR01GM118609 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI JIANG, XIAOQIAN, OHNO-MACHADO, LUCILA · 2017 to 2020
$2.3M
Privacy-preserving methods and tools for handling missing data in distributed health data networksR01GM124111 · NIGMS · UNIVERSITY OF PENNSYLVANIA · PI LONG, QI · 2017 to 2020
$2.3M
Encryption methods and software for privacy-preserving analysis of biomedical dataU01EB023685 · NIBIB · TRUSTEES OF INDIANA UNIVERSITY · PI TANG, HAIXU, WANG, XIAOFENG · 2016 to 2018
$1.4M
Secure and PrivAte Collaborative EnvironmentS (SPACES) for biomedical analyticsR01GM118574 · NIGMS · RUTGERS THE STATE UNIV OF NJ NEWARK · PI VAIDYA, JAIDEEP · 2017 to 2019
$1.1M
Protecting the pRivacy Of Genomes in REsearch StudieS (PROGRESS)R00HG008175 · NHGRI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI WANG, SHUANG · 2016 to 2018
$527k
NHGRI NIH HHS R00 HG008175NHLBI NIH HHS U54 HL108460NIBIB NIH HHS U01 EB023685NIGMS NIH HHS R01 GM118574NIGMS NIH HHS R01 GM118609NIGMS NIH HHS R01 GM124111NLM NIH HHS T15 LM011271
6 · The paper itself

Abstract

Privacyis an important consideration when sharing clinical data, which often contain sensitive information. Adequate protection to safeguard patient privacy and to increase public trust in biomedical research is paramount. This review covers topics in policy and technology in the context of clinical data sharing. We review policy articles related to (

Indexed as

data sharinghealth care policyhealth care privacy technologyhealth care security technology

Identifiers

PMID31058261
PMCPMC6497413

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.