Research projects
Our research team focuses on studying the quality of health care services across the continuum of care. Our research aims to understand and improve how care is delivered, measured, and experienced, with a strong focus on the Swiss health system and vulnerable populations. We use data-driven approaches, working with large, secondary datasets to evaluate clinical outcomes, patient safety, and adherence to evidence-based practices. Our projects are grounded in real-world challenges and contribute to shaping quality improvement efforts nationally.
We collaborate closely with key national stakeholders, including the National Association for Quality Development in Hospitals and Clinics (ANQ) and the Working Group for Quality Assurance in the Surgical Disciplines (AQC). These partnerships enable us to align our research with national priorities and support ongoing quality monitoring and benchmarking.
Contact person in the research team is Prof. Armin Gemperli, PhD.
Our research team is dedicated to research equitable access to healthcare by addressing the systematic and individual-level barriers that prevent people from receiving the care they need. Through a health systems approach, we aim to generate evidence-based insights that inform policies and interventions designed to enhance accessibility for diverse populations.
Our work focuses on understanding the complex factors that influence healthcare access and identifying innovative solutions to reduce disparities. This includes examining how social, economic, and structural determinants impact access to care and exploring strategies to create more inclusive and patient-centered health systems.
By employing advanced analytical techniques and transdisciplinary approaches, we strive to produce actionable findings that support decision-makers in designing effective, sustainable, and equitable healthcare solutions. Ultimately, our goal is to contribute meaningful knowledge that supports the development of equitable and effective health systems, ensuring everyone has the opportunity to achieve their best possible health outcomes.
Contact person in the research team is Staria Joseph.
Our research team is dedicated to optimizing preclinical emergency medical services (EMS) through a health systems approach, with the goal of enhancing the entire rescue chain from initial contact to definitive care. We aim to develop precise, evidence-based models that improve patient outcomes, operational efficiency, and resource allocation. Key areas of focus include the integration of EMS within broader healthcare systems, the application of simulation-based methods to optimize resource distribution, and the promotion of equitable access to emergency care across diverse populations. These efforts seek to not only enhance patient outcomes but also strengthen healthcare systems by fostering more resilient, responsive, and efficient EMS operations. Ultimately, our objective is to develop innovative frameworks that facilitate more effective, efficient, and equitable delivery of emergency medical services.
Contact person in the research team is Sarah Jerjen.
Our health prognosis research team develops statistical models to predict health and functional outcomes across a variety of patient populations. Our work is grounded in methodological research, with a focus on improving the accuracy and interpretability of prognostic tools. We use Bayesian, simulation-based models alongside other advanced techniques to capture uncertainty and individual variability in health trajectories. A key aspect of our work is the ability to compute what-if scenarios, helping to anticipate outcomes under different clinical or policy interventions. This allows us to quantify the potential impact of treatments, care pathways, or system-level changes on patient prognosis. Our models are designed to support both clinical decision-making and health policy planning. We emphasize reproducibility and transparency in model development and validation. By integrating real-world data with flexible modeling approaches, we aim to close the gap between statistical innovation and practical application. Ultimately, our goal is to improve the prediction and understanding of future health outcomes to support better care and planning.
Contact person in the research team is Lukas Oestmann.
