Medical Knowledge and Decision Support
We explore the dynamic landscape of “Medical Knowledge and Decision Support” by investigating the impacts and opportunities arising from digitalization in the clinic.
The overarching objectives of the research of the Medical Knowledge and Decision Support group are to accelerate translation and integration of evidence into the clinic and to ensure that technological progress is aligned with the needs of clinicians.
Clinican Experiences, Interpretability and Trust
Our research explores clinician experiences with digital tools and AI, aiming to guide future developments by enhancing model interpretability and examining trust and user experiences.
Health
Artificial Intelligence
We explore advanced AI to integrate prior knowledge with machine learning for predictions, using transfer learning for metabolism, physical activity, and diverse biomedical data.
Evidence Synthesis
and Knowledge Management
We use AI and machine learning to improve evidence management, focusing on automating discovery, extraction, synthesis, and translation of animal research into human hypotheses to accelerate clinical implementation.
Contact and Collaboration
We believe that great ideas are born from collaboration. Whether you are an individual with a fresh perspective, a business seeking partnerships, or a creator looking to share your vision, we are always open to exploring new opportunities.
If you are interested in partnering with us, have an idea you’d like to discuss, or simply want to get in touch, we would love to hear from you!
Please reach out via email to: janna.hastings@unisg.ch or janna.hastings@uzh.ch
School of MedicineUniversity of St.Gallen (HSG)
St. Jakob-Strasse 21
9000 St.Gallen, Switzerland
Institut for Implementation Science in Health Care (IfIS)
Universität Zürich
Universitätsstrasse 84
8006 Zürich, Switzerland