doctoral project
Related practice-based patient involvement in the implementation of an AI-based diagnostic support tool for undiagnosed and rare diseases – A mixed-methods analysis
Initial supervisor:
Prof. Dr Katharina Rathmann
Secondary supervisor:
PD Dr med. Dr med. habil. Annika Arsalan-Werner
Topic/Content
This doctoral project aims to investigate how patient involvement can support the acceptance and sustainable integration of AI-supported diagnostics into the care of rare and as yet undiagnosed conditions. To this end, the project will, on the one hand, identify patients’ needs and expectations and outline the practical requirements for implementation. Secondly, the study will examine the extent to which the diagnostic support system under investigation meets the identified requirements and success criteria.
Curriculum Vitae
Academic and professional qualifications
Since May 2026: doctoral candidate at the Public Health doctoral research centre – Fulda University of Applied Sciences
Since April 2024: academic project coordinator – Frankfurt University Medical Centre
March 2024: M.Sc. in health economics – University of Bayreuth
July 2020: B.Sc. in health economics – University of Cologne
Publications (examples)
Hummel, S., Assenheimer, N., Ortmeier, Y., Hansjakob, C., Nikendei, C., Friederich, H. C., Berberich, G., Schultz, J. H. (2026). Needs assessment for specialised training for nurses working in psychosomatic medicine and psychotherapy: A focus group study. Journal of Psychosomatic Research, 112589.
