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This conference talk from the 38th Chaos Communication Congress (38C3) explores how privacy-preserving methods can enable health data research without compromising individual privacy. Learn about the challenges posed by the upcoming European Health Data Space, which will collect health data from European insurance holders for both medical care and scientific purposes, including use by for-profit organizations like pharmaceutical companies and tech giants. Discover how probabilistic data structures offer a solution for processing personal health data while maintaining individual privacy. The speakers present results from a case study using exemplary health data to demonstrate that third-party access to health information is possible without sacrificing privacy protections. Presented by mcnesium and bngl, this talk offers practical approaches to a pressing issue at the intersection of healthcare, data science, and privacy rights.
