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Published on: July 27, 2018
Dynamic Consent in Personalized Digital Health.
Silvia Llorente1, Daniel Naro1, Jaime Delgado1
1Departament d'Arquitectura de Computadors (DAC), Universitat Politècnica de Catalunya · BarcelonaTECH (UPC).
Studies in Health Technology and Informatics
|May 23, 2026
Summary
Empowering users with control over their medical data via dynamic consent can increase trust and willingness to share data for research. This approach integrates dynamic consent into personalized digital health platforms for more reliable data sharing.
Area of Science:
- Digital Health
- Medical Informatics
- Bioethics
Background:
- Patient data sharing for research is crucial but often hindered by trust issues.
- Existing consent models may not adequately address evolving data usage needs.
- Personalized digital health tools offer new avenues for data management.
Purpose of the Study:
- To present an approach for integrating dynamic consent into personalized digital health.
- To enhance user trust and willingness to share medical data for research.
- To facilitate more reliable secondary use of patient data.
Main Methods:
- Developing a framework for dynamic consent within personalized digital health systems.
- Implementing mechanisms for users to control their shared medical data.
- Exploring the technical and ethical considerations of dynamic consent.
Main Results:
- The proposed approach enables granular user control over data sharing.
- Integration of dynamic consent can potentially increase data contribution for research.
- Enhanced user trust is a key outcome of empowering data control.
Conclusions:
- Dynamic consent is a viable strategy to improve trust in digital health data sharing.
- Personalized digital health platforms can effectively incorporate dynamic consent mechanisms.
- Empowering patients with data control is essential for advancing medical research through data sharing.
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