Evidence map›Paper›PMID 34660798›Full record

ReviewBioMed research international2021

Privacy Protection and Secondary Use of Health Data: Strategies and Methods.

Dingyi Xiang, Wei Cai

Abstract readReview
In one paragraph

Review in BioMed research international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing 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

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

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Data Classification Methodology: The Way Forward to Data-Enabled Healthcare in Egypt.Global journal on quality and safety in healthcare · 2025
    Article
  7. CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne · 2025
    Article
  8. Article
  9. Article
  10. Ensuring the sovereignty and security of Canadian health data.CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne · 2025
    Article
  11. Review
  12. Review
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. 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

2 authors.

Dingyi XiangInternet Rule of Law Institute, East China University of Political Science and Law, Shanghai, China.ORCID https://orcid.org/0000-0001-8951-2974
Wei CaiBeidahuang Information Company, Harbin, Heilongjiang, China.ORCID https://orcid.org/0000-0002-3146-0689

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Health big data has already been the most important big data for its serious privacy disclosure concerns and huge potential value of secondary use. Measurements must be taken to balance and compromise both the two serious challenges. One holistic solution or strategy is regarded as the preferred direction, by which the risk of reidentification from records should be kept as low as possible and data be shared with the principle of minimum necessary. In this article, we present a comprehensive review about privacy protection of health data from four aspects: health data, related regulations, three strategies for data sharing, and three types of methods with progressive levels. Finally, we summarize this review and identify future research directions.

Indexed as

ConfidentialityHealth Records, PersonalPrivacyConsumer Health InformationGenomicsHealth Insurance Portability and Accountability ActHumansInformation DisseminationModels, TheoreticalUnited States

Identifiers

PMID34660798
PMCPMC8516535

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.