Our goal is to optimize the value of new technologies and innovations in healthcare to society. We assess the impact of innovations during and after development, and from different perspectives (for example, developer, hospital, insurer, societal). Furthermore, we engineer health systems of the future by identifying how healthcare service provision will change – or needs to change – to maximize the value of healthcare innovations in a sustainable way. Our focus is the evaluation and optimization of diagnostic technologies, including biomarkers, imaging, prediction models and medical devices, in the fields of cardiology, neurology, and oncology.
In early design stages, we perform early assessments to guide further product development, for example based on expert elicitation, stakeholder analysis, headroom analysis, end user interviews, and early modelling. Following development, we support trial based and model based generation of evidence on health outcomes, healthcare costs and resource use, as well as on budget and system level impact. We use patient-level simulation models to accurately reflect clinical practice, and to develop innovative methods for optimizing the application and timing of personalized care and precision medicine interventions.
The results of our analyses support business models, reimbursement decisions, healthcare policymaking, and adoption of new technologies.