Enablement of existing health data for AI solutions
Service Description
This service is a follow up to the Data Feasibility Study, and can only be delivered after that service has been completed and a potential data set that meets the requirements has been identified.
Note that an additional fee, not covered by the call's price reduction, may apply.
Overview
Acquiring existing data sets—full-service data management. This service makes data sets identified in the Data Feasibility Study available to SME’s for TEF-project purposes, such as validation and testing of AI systems. Data can be collected from routine health records and local, regional, and national databases in collaboration with healthcare providers in Sweden. We provide expertise and technical support in the following areas: • Project design & management • Ethical application support • Data assembly • Data cleaning, annotation, anonymisation or pseudonymisation
How can the service help you?
Access to existing health data can help you validate your AI solution without needing to generate new data. We provide access to high quality datasets for validation and testing of your AI system, to facilitate placing it on the market and to increase its market readiness level, for example by supporting regulatory approval and building stakeholder/healthcare-provider confidence. Validation and testing data can be used for independent performance evaluation of your AI system in a real-world or simulated environment. Validation and testing without needing to generate new data frees up time to focus on model optimization and deployment.
How will the service be delivered?
The service will be delivered according to established ethical agreements and guidelines, in collaboration with the SME and researchers from the Swedish TEF-Health node. Data usage is facilitated through a secure virtual environment managed by Karolinska Institutet, ensuring the highest standards of data protection.
Additional information
Provider description
The Swedish TEF-Health node is a collaboration between Karolinska Institutet, SciLifeLab and RISE, and is led by Karolinska Institutet. Together, we offer world-leading services with our unique collection of core facilities. We grant services in expert consulting, virtual- and physical testing in the range of in vivo imaging, ex vivo OMICS, pharmaceutical development, simulated healthcare environments, AI-system validation and development, advanced data analysis and other data-driven life science.
Technical description
Datasets identified in the Data Feasibility service will be made available to suit your AI system, supporting the testing and validating of your solution. The data will be tailored to your specific request to ensure it is compatible with your AI system and its real-world use, and with full support from Karolinska Institutet to ensure compliance with all relevant regulations, including GDPR and national Swedish regulations. Upon completion of this service, you will receive an evaluation of the performance of your AI system.
Service customization
The service can be customised according to your specific needs, taking into account which type of data you require.
Use case example
An SME developing an AI-based diagnostics system requests access to the retrospective datasets identified in the Data Feasibility Study service to independently validate the solution. Under an ethical agreement with the Swedish TEF-Health node, the service assembles and prepares the data and provides access through a secure virtual environment at Karolinska Institutet, where the system is tested in simulated and real-world scenarios. The resulting performance evaluation demonstrates the system's accuracy and reliability, supporting the SME's regulatory approval process and market entry.
