Standard Health Consent: Ein partizipativer Einwilligungsmanagment-Ansatz für die Nutzung von Gesundheitsdaten aus Apps und Wearables

Publikation: Beitrag in Buch/Konferenzbericht/Sammelband/GutachtenBeitrag in KonferenzbandEingeladenBegutachtung

Abstract

Health apps and wearables are becoming increasingly popular. Through sensor measurements and manual entries, people can easily record a variety of health-related parameters in their daily lives. These data contain valuable information not only for personal healthcare but also for secondary uses, such as medical research. The potential has been recognized, and initiatives for the shared use of health data, like the European Health Data Space, aim to include data from apps and wearables in addition to traditional clinical health data. However, the current draft leaves open how citizens can exercise control over the sharing of their data. We describe a new, standardized approach for obtaining and managing consent for sharing health data from apps and wearables: the Standard Health Consent. The digital Standard Health Consent platform could give citizens control over the use of their health data and contribute to the development of a fair and trustworthy health data ecosystem. In an initial pilot survey with physicians, the opinions of this professional group regarding health data digitally collected by patients themselves, as well as digital consent management, are recorded.

Details

OriginalspracheDeutsch
TitelData Sharing
Redakteure/-innenMichael Friedewald, Alexander Roßnagel, Christian Ludwig Geminn, Murat Karaboga, Stephan Schindler
ErscheinungsortBaden-Baden
Herausgeber (Verlag)Nomos Verlagsgesellschaft mbH & Co. KG
Kapitel4
Seiten265-286
Seitenumfang22
Auflage1
ISBN (elektronisch)978-3-7489-4017-3
ISBN (Print)978-3-7560-1266-4
PublikationsstatusVeröffentlicht - 16 Okt. 2024
Peer-Review-StatusJa

Publikationsreihe

ReihePrivatheit und Selbstbestimmung in der digitalen Welt = Privacy and self-determination in the digital world
Band4
ISSN2940-0333

Externe IDs

ORCID /0000-0002-3415-5583/work/170107884
ORCID /0000-0002-6808-2968/work/170108038
ORCID /0000-0002-1997-1689/work/170108088

Schlagworte

Forschungsprofillinien der TU Dresden