Evidence map›Paper›PMID 37334182›Full record

ArticleNature machine intelligence2023

Ethical hazards of health data governance in the metaverse.

Kristin Kostick-Quenet, Vasiliki Rahimzadeh

Open access · greenAbstract read
In one paragraph

Article in Nature machine intelligence, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-weighted citation impact, top 22% of its field
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

3 citing papers in PubMed, 19 citations in OpenAlex.

  1. Review
  2. Review
  3. 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 at 1 institution in 1 country.

Kristin Kostick-QuenetCenter for Medical Ethics and Health Policy, Baylor College of Medicine, Houston, TX, USA.
Vasiliki RahimzadehCenter for Medical Ethics and Health Policy, Baylor College of Medicine, Houston, TX, USA.ORCID 0000-0003-3537-7601
Baylor College of Medicine · US

Funding

Ethical and Human Factors Impacting Successful Translation of Perceptual Computing to Improve Clinical CareR01TR004243 · NCATS · BAYLOR COLLEGE OF MEDICINE · PI HERRINGTON, JOHN DAVID, KOSTICK, KRISTIN MARIE · 2022 to 2025
$2.0M
NCATS NIH HHS R01 TR004243
6 · The paper itself

Abstract

Metaverse-enabled healthcare is no longer hypothetical. Developers must now contend with ethical, legal and social hazards if they are to overcome the systematic inefficiencies and inequities that exist for patients who seek care in the real world.

Identifiers

PMID37334182
PMCPMC10275577
OpenAlexW4376648053

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.