Qualitative analysis of group discussion transcripts of patients and the public’s concerns and benefits regarding an AI-based screening tool for detecting rare diseases using electronic health data
Conditions
Interventions
Group 1: This study examines how people in Germany view the use of AI for the early detection of rare diseases. The aim is to find out what opportunities are seen, what concerns exist, and under what
Sponsors
Klinik für Neurologie, Universitätsmedizin Göttingen
Eligibility
Sex/Gender
All
Age
18 Years to 85 Years
Inclusion criteria
Inclusion criteria: •Capable of giving written consent •Being able to read and speak German proficiently
Exclusion criteria
Exclusion criteria: •Severe mental or psychiatric disorders •Participants unable to give consent
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| After evaluating the transcripts from group discussions (focus group discussions (FGD)) using qualitative content analysis, a comprehensive list of concerns raised by patients and the public, as well as the expected benefits of using an AI-supported electronic health data system for the detection of rare diseases, will be compiled. | — |
Secondary
| Measure | Time frame |
|---|---|
| Under what circumstances would the German public accept an AI-based screening tool for electronic health records? | — |
Countries
Germany
Contacts
Public ContactElisabeth Felicite Nyoungui
Universitätsmedizin Göttingen, Institut für Medizinische Informatik
Outcome results
None listed