Dr. Stephen Henry Gilbert
Person

Affiliations

Else Kröner Fresenius Center for Digital Health
- Academic Staff
- stephen_henry.gilbert@tu-dresden.de

Identification Numbers

ORCID	0000-0002-1997-1689
Scopus author ID	16833743700

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

Brückner, S., Verhees, F. G., Schwarz, P., Pfennig, A. & Gilbert, S. H., 16 Oct 2024, Data Sharing: Datenkapitalismus by Default?. Friedewald, M., Roßnagel, A., Geminn, C. L., Karaboga, M. & Schindler, S. (eds.). 1 ed. Baden-Baden: Nomos Verlagsgesellschaft mbH & Co. KG, p. 265-286 22 p. 11. (Privatheit und Selbstbestimmung in der digitalen Welt = Privacy and self-determination in the digital world, Vol. 4).

Research output: Contribution to book/conference proceedings/anthology/report › Conference contribution › Invited › peer-review

View all research output (22)

Digital interstices of consent

Brightwell, C. (Speaker), Gilbert, S. H. (Speaker)

7 Sept 2023

Activity: Talk or presentation at external institutions/events › Talk/Presentation › Contributed

View all activities (1)

Postoperative real-time analysis of pancreatic enzymes in drain fluid

Kolbinger, F. (Applicant/PI), Baraban, L. (Applicant/PI), Gilbert, S. H. (Applicant/PI) & Distler, M. (Applicant/PI), Oct 2023

Prize: Fellow/scholarship › Research projects/Networks

View all prizes (1)

Research Portal of the TU Dresden

Dr. Stephen Henry Gilbert
Person

Affiliations

Identification Numbers

Related content

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

Trust and Inclusion in Digital Health: The Need to Transform Consent

Integrating large language models in care, research, and education in multiple sclerosis management

FDA launches health care at home initiative to drive equity in digital medical care

Guardrails for the use of generalist AI in cancer care

Digital interstices of consent

Postoperative real-time analysis of pancreatic enzymes in drain fluid