gms | German Medical Science

22. Jahrestagung des Deutschen Netzwerks Evidenzbasierte Medizin e. V.

Deutsches Netzwerk Evidenzbasierte Medizin e. V.

24. - 26.02.2021, digital

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Turning data into cure and ethics first

Meeting Abstract

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  • Robert Radloff - Curedatis, Clinical Evidence, Deutschland
  • Alexander Schmitt - Curedatis, Clinical Evidence, Deutschland

Who cares? – EbM und Transformation im Gesundheitswesen. 22. Jahrestagung des Deutschen Netzwerks Evidenzbasierte Medizin. sine loco [digital], 24.-26.02.2021. Düsseldorf: German Medical Science GMS Publishing House; 2021. Doc21ebmSYM-5-01

doi: 10.3205/21ebm129, urn:nbn:de:0183-21ebm1299

Published: February 23, 2021

© 2021 Radloff et al.
This is an Open Access article distributed under the terms of the Creative Commons Attribution 4.0 License. See license information at http://creativecommons.org/licenses/by/4.0/.

Outline

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Description: In this symposium we discuss the pros and cons of a medical artificial intelligence framework. Our vision is a as patient-centered and sustainable framework where data and knowledge ownership are common good to advance healthcare for all.

We provide a deep dive into a humanitarian non-profit organization that accelerates the development of open artificial intelligence for evidence-based medicine from various perspectives.

1. Introduction: From BigData to cure (5 min)

2. Perspectives and views

Ethics: Ethics first in Health AI (10 min)

Patient: Data Donation and Data ownership (10 min)

Health Care Provider: Turning data into cure (10 min)

Non-profit data organization: Open AI for healthcare (10 min)

3. Panel discussion with audience interaction (45 min)

Competing interests: keine