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STRATA-FIT

Aim & objectives

The main aim of STRATA-FIT is to develop computational models to identify Difficult-to-treat rheumatoid arthritis (D2T RA) in Electronic Health Records (EHR) from routine practice and stratify these patients into clinically relevant phenotypes, then subsequently – for the first time – apply these models in clinical practice for more effective personalized treatment, and consequently, significantly reduce the disease burden and socioeconomic impact of D2T RA.

Objectives:

  • Developing the building blocks (e.g., computational identification and stratification models) for a treatment algorithm better tailoring available treatments to individual D2T RA patients and a decision aid for its implementation.
  • Demonstrate the improvement in the management of D2T RA patients using the decision aid.
  • Help to provide more insight into underlying disease mechanisms.

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Expected Outcomes:

STRATA-FIT will develop and pilot an innovative, actionable decision aid to stratify D2T RA patients and provide a personalised treatment advice. Thus, the outcomes of STRATA-FIT have huge potential for improving the effectiveness as well as the cost-effectiveness of the management of D2T RA. With prospective implementation, we will also further our understanding of underlying biology of the defined clinical phenotypes of D2T RA. Synergistically, STRATA-FIT will for the first time, effectively establish a Learning Healthcare System for RA in Europe. This will be the foundation of future research and evaluation of management of (specific groups) of RA patients. Our approach and infrastructure can also serve as a blueprint for other chronic conditions, thereby continuing the improvement of care for various important patient groups.

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This project has received funding from the European Union’s Horizon Europe research and innovation programme under grant agreement no. 101080243 from the Swiss State Secretariat for Education, Research and Innovation (SERI) and from Hungary’s National Research, Development and Innovation (NRDI) Fund.
Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union. Neither the European Union nor the granting authority can be held responsible for them.