PRANA-DATA

Share Analyses - Not Data.

Privacy Respecting ANAlysis of Distributed patient health DATA (PRANA-DATA)

Why this project?


Patients want to use personalized services while keeping their data private

Researchers need access to statistically relevant yet privacy-sensitive data

Companies wish to obtain aggregated patient statistics while complying with privacy laws

We need to "shift the discussion from 'big data versus privacy' to 'big data with privacy'" - Enisa

Outcomes (2017)


What is the current state-of-the-art? (literature survey)

How to bring your research to the data? (demo of the personal health train)

How to keep your data encrypted during the analysis? (demo for a patients-like-you case)

What do patients/end-users think of our approach? (user study)

How to set-up a personal locker for quantified self data? (report)

What is the best way forward? (outcomes stakeholder workshop)

PRANA Partners


This partnership is funded by COMMIT

PRANA Advisory board


Contact

jessica.doorn@tno.nl

Recent Publications

Coming soon...

Privacy in the news (Dutch)

"Kamer niet ingelicht over breder delen zorgdata" (Volkskrant, 31 May 2016)
"Privacy moet strenger worden bewaakt bij digitaliseren patiƫntdossiers" (NU.nl, 17 May 2016)
"Datalek ziekenhuizen treft ruim 200.000 patiƫnten" (NU.nl, 25 Jan. 2016)

Share analysis. Not data.

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