Purpose and context
The purpose of this call is to demonstrate a concrete application of patient records to one or more specific health care challenge(s) as specified by the winning project proposal. This initiative should help foster Nordic competitive advantage in the area of responsibleuse of health data and through its results, inspire future developments in this area.
The project needs to be within the current legal framework and legislation coming into effect during the project period.
Through this initiative, Nordic Innovation sets out to promote sustainable growth, innovation, entrepreneurship and global competitiveness of Nordic companies.
Together, the amount of health data in the Nordics can be used to develop solutions for more diseases, illnesses and health system challenges. Health data in the form of context-rich patient records is one of the Nordics’ most valuable data resources.
Patient records and the context provided in these have immense innovation potential. Many illnesses and conditions are context-dependent, and health care optimization can be undertaken if you can use patient records. While some companies may already have access to some patient records, the scope of new innovations increases considerably when it is possible to work across the Nordic borders and utilize the full breadth of Nordic health data. This will make a larger amount of Nordic Health data available for analysis and innovation in relation to for instance rare diseases and diseases and illnesses which are heavily context dependent.
This is one of two calls for proposals launched simultaneously. The other, related call is aimed at developing and demonstrating a technical ethical AI-solution capable of processing information in Nordic patient records across systems and languages.
Together, the two resulting projects aim at propelling the Nordic region as leading in ethical AI and responsibleuse of health data, by demonstrating the potential for value creation for Nordic businesses and society in responsible utilization of patient records and applied ethical AI.