Overview
The Data Feasibility Service provides an early, structured assessment of whether the health data required for AI validation can realistically be accessed and used within the Swedish healthcare and research data ecosystem. The service focuses on feasibility and risk reduction rather than data delivery. Karolinska Institutet experts assess whether relevant data sources exist, where they are located, and whether the data’s structure, quality, and technical characteristics are suitable for running and validating the proposed AI solution. Legal, ethical, and practical constraints are reviewed at a high level. The outcome is a concise, actionable feasibility assessment supporting informed decisions on whether to proceed with AI validation and potential next‑step data acquisition services.

How can the service help you?
Before the service, organisations often face uncertainty around data availability, technical suitability, timelines, and regulatory barriers. After the service, they gain a realistic understanding of whether the required data can support their AI model in practice, including whether the data format, volume, and quality are compatible with the intended validation approach. This enables clearer go/no‑go decisions, improved validation planning, and early alignment with clinical relevance and regulatory expectations, reducing the risk of costly delays or infeasible projects.

How the service will be delivered? The service is delivered through a structured review led by Karolinska Institutet in dialogue with the requesting organisation. Experts analyse the proposed use case, data needs, and AI requirements against known Swedish data infrastructures and governance frameworks. The work is primarily desk‑based and typically completed within a few weeks, depending on scope. No transfer or processing of health data is required as part of this service.

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 can 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
Feasibility is assessed by mapping potential data sources and reviewing governance, access pathways, and constraints. The assessment includes data structure, format, completeness, and quality, as well as technical feasibility aspects such as whether the data can support the intended AI model, validation design, and computational requirements. Legal and ethical considerations, including GDPR, Swedish legislation, and the need for ethics approval, are considered at a high level. The service informs but does not replace formal ethics or data access applications.

Service customization The service can be tailored to different clinical domains, data types (e.g. imaging, registries, EHRs), and maturity levels of organisations. The depth of analysis depends on the clarity of the use case and data requirements. The service is limited to feasibility assessment and does not guarantee data access or approval by data owners.

Use case/ example An SME developing an AI‑based clinical decision support tool requests access to retrospective imaging and outcome data. The service assesses data availability, governance constraints, and whether the data’s structure and volume are technically suitable for running and validating the AI model. The results indicate feasible data sources but significant lead times, guiding the SME to refine its validation strategy before proceeding with full data acquisition.