Medical students solve case studies on the diagnosis and communication of lung cancer, melanoma, Huntington's disease, and sexually transmitted diseases
Conditions
Interventions
Sponsors
Eligibility
Inclusion criteria
Inclusion criteria: - Medical students at one of the two universities - Semester 9 or 10 of medical studies - Provided informed consent
Exclusion criteria
Exclusion criteria: - Participants who do not fulfill the inclusion criteria - Participants who do not provide answers to the primary outcome (pre- and post-intervention) - Participants who indicate repeated participation - Participants who fail plausibility checks, for example by completing the questionnaire in an unrealistically short time or after a very short interaction with the Chatbot - Participants who change the conversation topic away from the intended patient-doctor interaction or instances where the AI chatbot malfunctions and deviates from the conversation (e.g., adopts the physician role instead of the patient role) - Participants who exclude themselves from participation at the end of the questionnaire
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| Perceived communication competence (PCC) regarding breaking bad news measured before the interaction with the AI chatbot and after the feedback measured on an 11-point Likert scale from 0 (very low) to 10 (very high). | — |
Secondary
| Measure | Time frame |
|---|---|
| PCC for sexual history-taking, socio-demographic characteristics such as gender and year of study, Feedback Perceptions Questionnaire (FPQ), grade of the conversation in the feedback, structural characteristics of the conversation (duration, number of tokens, content) | — |
Countries
Germany
Contacts
Charité - Universitätsmedizin Berlin