Evidence map›Paper›PMID 32463372›Full record

ArticleJournal of medical Internet research2020

All Our Data Will Be Health Data One Day: The Need for Universal Data Protection and Comprehensive Consent.

Christophe Olivier Schneble, Bernice Simone Elger, David Martin Shaw

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Review
  2. Article
  3. From lab to life: challenges and perspectives of fNIRS for haemodynamic-based neurofeedback in real-world environments.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024
    Review
  4. Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Review
  10. Article
  11. Analysis of factors affecting IoT-based smart hospital design.Journal of cloud computing (Heidelberg, Germany) · 2020
    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.

Christophe Olivier SchnebleInstitute for Biomedical Ethics, University of Basel, Basel, Switzerland.ORCID 0000-0003-1967-7129
Bernice Simone ElgerInstitute for Biomedical Ethics, University of Basel, Basel, Switzerland.ORCID 0000-0002-4249-7399
David Martin ShawInstitute for Biomedical Ethics, University of Basel, Basel, Switzerland.ORCID 0000-0001-8180-6927

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tremendous growth in the types of data that are collected and their interlinkage are enabling more predictions of individuals' behavior, health status, and diseases. Legislation in many countries treats health-related data as a special sensitive kind of data. Today's massive linkage of data, however, could transform "nonhealth" data into sensitive health data. In this paper, we argue that the notion of health data should be broadened and should also take into account past and future health data and indirect, inferred, and invisible health data. We also lay out the ethical and legal implications of our model.

Indexed as

Computer SecurityHumansInformed Consentbest practicesbig datadata protectionguidelineshealth datasocial media

Identifiers

PMID32463372
PMCPMC7290498

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.