#34 INLA-package: Geostatistical analysis of health insurance claims

Dr. Boris Kauhl | A practical overview how R and the INLA-package facilitate the geostatistical analysis of large, spatially referenced health insurance claims

Health insurance claims provide a rich set of information at fine spatial scales. This is both, a great opportunity and a challenge, as such large, complex spatial data require particular methods to deal with location information.

The main focus of this presentation is the application of spatial Bayesian modelling within the INLA package. Two applications will be explored: Visualizing spatial patterns of chronic diseases and examining risk factors at the individual and aggregated level. Of particular interest is explicitly spatial modelling as it enables us to see, which persons are where at major risk for chronic diseases. We will have an in depth discussion of current methodological and computational challenges and solutions to deal with large spatial data sets.

Dr. Boris Kauhl works for the AOK Nordost health insurance where he focuses on spatial analyses to enhance planning and allocation of healthcare. He did his PhD about Geographic Information Systems (GIS) in public health at Maastricht University, the Netherlands.

---
Short contributions and announcements from the audience are always welcome. We want to be a diverse and inclusive group, please come, bring your friends. We're hoping for a nice crowd enjoying interesting talks and chats.

Our generous host Europace AG will prepare drinks and snacks for us!
See you!