Danmarks Statistik And the Danish Health Authority are two Danish organisations. With Danmarks Statistik Dedicated to gathering statistical information about Denmark's population and Danish Health Authority holding comprehensive health data. Together with DataFair, Enversion, Innovationsfonden and more partners, Partisia are participating in a project called OSCAR.
We live in a world driven by data; therefore, why should the development of medicines be any different?
Kim Nørskov
Chief Succes Officer, Partisia
Without a doubt, the combination of demographic data – such as age, income, education level, and so on - with comprehensive health records, holds immense value. This combination offers insights into various aspects, including different illnesses, age-related ailments, environmental factors impacting health, and adverse reactions to specific medications.
By combining demographic, socioeconomic and health data, we can generate new insights such as identifying correlations between social status and the effectiveness of breast cancer treatments
Kim Nørskov
Chief Succes Officer, Partisia
Through this collaborative effort involving a multitude of private and public companies, Partisia is contributing to the OSCAR project with our Confidential Computing platform.
The shared vision of the OSCAR project is to create a sustainable platform for better use of Danish health data in partnership with private companies and public organisations. The platform will ensure better access to health data in a manner that secures personal data privacy protection.
Access to Danish health data is essential to inform a modern, data-driven healthcare system. Better access to health data is needed to support innovative clinical research, precision medicine and outcome-based pricing models. These advances can, in turn, lead to improved disease prevention and treatment, as well as better use of healthcare resources.
Patients want us to use data more than we do today
The Confidential Computing platform is the cornerstone of this project. It facilitates the collection, anonymisation, merging, analysis, and sharing of health data from public registries. Leveraging Secure Multiparty Computation, it ensures rapid and secure data analysis while maintaining stringent privacy standards.
To address this challenge, we have implemented a configuration of the Confidential Computing platform - Virtual Public Register (VPR) based on Multiparty Computation, running on a private blockchain network.
The VPR Platform isn't replacing current research services; it's expanding them as it transitions from concept to reality.
Imagine being a doctor striving to advance cancer treatment, exploring avenues for novel medication. For good reason the regulatory landscape governing utilisation of personal health data requires strong safeguards to ensure data is only used for approved purposes as well as protecting sensitive information from leakage and compromise.. With Multiparty Computation, Confidential Computing offers a paradigm where encrypted data can be leveraged for informed decision-making while facilitating meaningful analysis.
Without data on patient outcome we don’t know if the expensive new drugs we use are worth the money