Evidence map›Paper›PMID 41298895›Full record

ReviewNPJ digital medicine2025

A user-driven consent platform for health data sharing in digital health applications.

Stefanie Brückner, Akrem Dridi, Aniruddha Deshmukh, Toralf Kirsten, Anne Lauber-Rönsberg, Ronja Riedel, Sven Hetmank, Cindy Welzel, Stephen Gilbert

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in NPJ digital medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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

  1. Pooled it
  2. Ethical Considerations in Personal Health Large Language Models.Journal of medical Internet research · 2026
    Article
  3. Review
  4. Review
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

9 authors.

Stefanie BrücknerElse Kröner Fresenius Center for Digital Health, TUD Dresden University of Technology, Dresden, Germany.
Akrem DridiElse Kröner Fresenius Center for Digital Health, TUD Dresden University of Technology, Dresden, Germany.
Aniruddha DeshmukhInstitute for Medical Informatics, Statistics and Epidemiology, Leipzig University, Leipzig, Germany.
Toralf KirstenInstitute for Medical Informatics, Statistics and Epidemiology, Leipzig University, Leipzig, Germany.
Anne Lauber-RönsbergInstitute of International Law, Intellectual Property and Technology Law, TUD Dresden University of Technology, Dresden, Germany.
Ronja RiedelInstitute of International Law, Intellectual Property and Technology Law, TUD Dresden University of Technology, Dresden, Germany.
Sven HetmankInstitute of International Law, Intellectual Property and Technology Law, TUD Dresden University of Technology, Dresden, Germany.
Cindy WelzelElse Kröner Fresenius Center for Digital Health, TUD Dresden University of Technology, Dresden, Germany.
Stephen GilbertElse Kröner Fresenius Center for Digital Health, TUD Dresden University of Technology, Dresden, Germany. stephen.gilbert@tu-dresden.de.

Funding

BMFTR 16KISA100KHORIZON EUROPE Framework Programme CYMEDSEC
6 · The paper itself

Abstract

Wearable and health app data hold significant potential for healthcare and research, yet fragmented consent mechanisms create challenges for ethical, transparent, and user-controlled data sharing. We describe a centralised consent management system with a structured approach to standardising health data sharing, ensuring regulatory compliance and improving user autonomy. We describe implementation requirements of the system, emphasising regulatory alignment, involvement of app developers, user empowerment, and governance by neutral public bodies.

Identifiers

PMID41298895
PMCPMC12657888

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.