Individual cancer risk assessment: Development and evaluation of predictive models using health insurance data (OMEN)
Description
- In Germany, there is a legal basis (§ 25b SGB V) to estimate health risks based on insurance data and to inform insurants about the results. Specifically mentioned use cases include cancer diseases. The overall goal of the project "OMEN" is to examine whether cancer really is suitable as a use case in this regard and to explore the potential for cancer prevention and early detection through targeted information for high-risk groups.
Specifically, the project will:
(A) Develop, validate, and assess prediction models estimating individual cancer risks (incidence or recurrence) based on health insurance data, including the use of AI methods. For this purpose, data from the so-called GePaRD database (claims data from 20% of the German population since 2004) will be used. Furthermore, it will investigate:
(B) How the transferability of the prediction models to the available data and technical capabilities of a health insurance provider can be ensured; and
(C) To what extent the assessment and communication of individual cancer risks by health insurances would be accepted by insurants and healthcare providers, and how potential concerns could be addressed.
Funding period
- Begin: January 2026
End: December 2028
Sponsor
- The Federal Joint Committee (G-BA)