Skip to main content Deutsch

Institute of Outcomes Research

Outcomes Research 4.0


Our primary aim is to measure and analyse the effects of treatments, with an emphasis on patient perspectives and experiences, and in doing so, to empower patients and help healthcare providers use health data in innovative ways to improve healthcare.


We optimize clinical measurement methods, standardize patient care pathways, and digitise endpoints. We develop, implement, and evaluate digital solutions, collect data from the patient’s perspective, and create movement and activity profiles using sensors and e-health applications. Our work generates an evidence basis and tools needed for the personalised medicine of the future.

Our group combines specialised competencies in health and medicine with expertise in research methodology and analysis. Our projects come from the fields of impact research, outcome data science, text mining, data governance, digital health, health science, as well as musculoskeletal health, rheumatology, rehabilitation, anaesthesia, diabetes, dietetics, epidemiology, curative education, geriatrics and long-term care, nephrology, oncology, orthopaedics, paediatrics, psychology and public health.

Research Groups

Health Outcomes Observatory and Value-Based Care

The Health Outcomes Observatory (H2O) project is developing and implementing a cross-national, standardized infrastructure for collecting health data across Europe. H2O focuses primarily on patient self-reported outcomes. These are collected together with clinical data and made accessible for research.

With the H2O infrastructure and instruments, patients will be able to measure their symptoms in a standardized way while maintaining full control over their data. Ultimately, this project aims to drive innovation in healthcare in Europe and beyond to achieve better outcomes for all.

The H2O project is a public-private partnership.

Arthritis and Rehabilitation

We improve the care of patients with inflammatory and degenerative joint diseases and other diagnoses that require rehabilitation. To do so, we conduct clinical trials, use sensors and e-health applications, and analyse outcome data. We also host the Ludwig Boltzmann Institute for Arthritis and Rehabilitation.

Patient-Generated Data

Patient involvement in healthcare and research is increasingly and internationally recognized as a valid source of knowledge important for better health outcomes and a sustainable healthcare system. Our group uses various quantitative and qualitative research methods to collect and analyse patient and stakeholder data. Algorithms are used when analysing big textual data. To best explore people’s needs, preferences and experiences of health-related issues in their daily lives, we conduct interviews, surveys and observations in various settings.

Stamm T.A., Partheymüller J., Mosor E., Ritschl V., Kritzinger S., Alunno A., Eberl J.-M. (2023)
Determinants of COVID-19 Vaccine Fatigue. Nature Medicine 29(5), 1164–1171.