ArticleMayo Clinic proceedings. Digital health2023
The Social Contract for Health and Wellness Data Sharing Needs a Trusted Standardized Consent.
Article in Mayo Clinic proceedings. Digital health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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.
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.
Who cites it
6 citing papers in PubMed.
- A user-driven consent platform for health data sharing in digital health applications.NPJ digital medicine · 2025Review
- Enabling secure and self determined health data sharing and consent management.NPJ digital medicine · 2025Review
- A roadmap for safe, regulation-compliant Living Labs for AI and digital health development.Science advances · 2025Review
- Letter to the Editor on "From Concept to Clinic: Living Labs and Regulatory Sandboxes for Health System Digitalization and the Integration of Innovative Devices Into Clinical Workflows".IEEE journal of translational engineering in health and medicine · 2025Article
- A transparent and standardized performance measurement platform is needed for on-prescription digital health apps to enable ongoing performance monitoring.PLOS digital health · 2024Review
- Citizen data sovereignty is key to wearables and wellness data reuse for the common good.NPJ digital medicine · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The rise of health and wellness applications has led to a new category of citizen-generated health data, which are collected through sensors and user inputs. As more parameters are measured over longer time periods, these data will gradually become more important for disease prediction, care, and research than classical clinic-generated health data. Policymakers now recognize the potential of both data types in initiatives such as the European Health Data Space, which aims to enable data sharing for patient care and research at scale. Although it could be argued that clinic-generated data come from public-funded health systems and should therefore be sharable, after depersonalization, for public service, this argument extends poorly to data from wearables and applications. We propose a new approach for standardized health consent, both broad and dynamic, to overcome consent fatigue and engage citizens in data sharing.
Identifiers
What OpenQuestion holds
Registered trials
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.