Acne inversa (Hidradenitis suppurativa) Basal cell carcinoma Variable diseases in walk-in patients
Conditions
Interventions
Group 1: Study arm 1 – Pre-hospitalization cases
• Subgroup 1-AI – Prospective
Anamnesis with AI avatar support: 40 patients (20 basal cell carcinoma, 20 acne inversa)
• Subgroup 1-RE – Retrospective
Anamnesis without AI avatar support: 40 patients (20 basal cell carcinoma, 20 acne inversa)
Total: 80 pre-hospitalization cases
Group 2: Study arm 2 – Walk-in outpatient cases
• Subgroup 2-AI – Prospe
Anamnesis with AI avatar support: 40 patients
• Subgroup 2-RE – Retrospective
Anamnesis without AI avatar support: 40 patients
Total: 80 walk-in outpatient cases
Sponsors
Department of Dermatology, Venerology and Allergology - University of Leipzig Medical Center
Eligibility
Sex/Gender
All
Age
18 Years to No maximum
Inclusion criteria
Inclusion criteria: Patients who present at the Clinic and Polyclinic for Dermatology, Venereology, and Allergology at ?University of Leipzig Medical Center for pre-admission due to basal cell carcinoma or acne inversa, or as unplanned walk-in patients without an appointment. Employees: Physicians, nurses, and employees of ?University of Leipzig Medical Center who are or were involved in the pre-admission or care of unplanned walk-ins in relation to the above-mentioned patients and/or are expected to contribute to the quality assessment, AI tool evaluation, and assessment of usage circumstances.
Exclusion criteria
Exclusion criteria: Persons under the age of 18, persons incapable of giving consent, non-German-speaking persons, pregnant and breastfeeding persons, as well as persons who are or were unable to undergo the anamnesis process – with or without an AI tool – due to cognitive or physical illnesses are excluded.
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| Project objectives: Primary project objective: Observational investigation of an AI-supported avatar developed and used in patient care to assist with dermatological anamnesis. Secondary project objectives: Evaluation of the quality, functionality, time savings, and acceptance of AI-supported anamnesis compared to conventional anamnesis. The quality of documentation is analyzed using a structured evaluation matrix developed specifically for the study (0–4 points per criterion). In addition, the time required for the medical history and the estimated time savings are recorded. Acceptance and user experience are assessed using standardized questions/questionnaires, including the User Experience Questionnaire – Short Version (UEQ-S), the TAEG questionnaire (short version), and the AIAS-4 – AI Attitude Scale. In addition, the circumstances of use of the AI tool are documented. | — |
Secondary
| Measure | Time frame |
|---|---|
| see project objectives above. | — |
Countries
Germany
Contacts
Public ContactFelix von Krogh
Universitätsklinikum Leipzig - Klinik und Poliklinik für Dermatologie, Venerologie und Allergologie
Outcome results
None listed