Patients with tumours in the head and neck area
Conditions
Interventions
Group 1: One group of patients is undergoing treatment at our clinic for a malignant tumour/growth. For this group, a treatment plan is created using a large language model similar to ChatGPT and comp
Sponsors
Klinik für Hals-, Nasen-, Ohrenheilkunde und Poliklinik Universitätsmedizin Mainz
Eligibility
Sex/Gender
All
Age
18 Years to No maximum
Inclusion criteria
Inclusion criteria: Treatment at our clinic, =/>18 years
Exclusion criteria
Exclusion criteria: No treatment at our clinic, < 18 years
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| Rating of the recommendations of the local LLMs (binary and Likert scale). Agreement between the recommendations of the local LLMs and the tumour board recommendation. After the tumour board has made a decision, participants are presented with the local LLM's recommendation and asked to provide a brief assessment of the recommendation (medical appropriateness on a 6-point Likert scale and whether the information provided by the LLM could have influenced the tumour board's recommendation (yes/no), risk to patient safety (yes/no). | — |
Secondary
| Measure | Time frame |
|---|---|
| Patients' perceptiveness towards LLMs in general and in the provision of treatment recommendations. The enclosed patient group to be discussed in the tumour board will be compared with randomly selected patients who are not visiting our polyclinic due to a tumour disease. (Questionnaire-based) | — |
Countries
Germany
Contacts
Public ContactChristoph Raphael Buhr
Klinik für Hals-, Nasen-, Ohrenheilkunde und Poliklinik Universitätsmedizin Mainz
Outcome results
None listed