L40.0 L40.5
Conditions
Interventions
Group 1: Over a one-year observation period, the participants will be examined during three study visits (at baseline, 24 weeks, and 52 weeks after study inclusion). Data on their personality, disease
Sponsors
Universitätsklinikum Würzburg, Klinik für Dermatologie, Venerologie und Allergologie
Eligibility
Sex/Gender
All
Age
18 Years to No maximum
Inclusion criteria
Inclusion criteria: - psoriasis vulgaris confirmed bei dermatologists - initial diagnosis of psoriasis at least one year ago - at least three documentable psoriasis plaques on the body - ability to consent
Exclusion criteria
Exclusion criteria: - inability to consent - age under 18 years - not owning a smartphone or not having access to a smartphone
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| 1. Psoriasis plaques can be reliably segmented using an artificial intelligence (AI)-supported analysis of the texture, perfusion and redness of the skin via an app. 2. The AI ??and AutoML-based image analyses allow a reliable prediction of new disease flare-ups (deterioration of 20% of the initial value). 3. Significant reduction in the number of hospital stays and personal doctor/patient contacts compared to the year before inclusion in the study. | — |
Secondary
| Measure | Time frame |
|---|---|
| 1. The use of such a hybrid app for patients with psoriasis results in secondary and tertiary cost savings. 2. An escalable, multi-stage, multimodal interaction process (information/coaching offer with chatbot, video-based questionnaires to assess the patient's psychological stress, as well as direct communication with the doctor) leads to a significant reduction in psychological stress in psoriasis patients. 3. The Psoriasis Area and Severity Index (PASI) can be reliably recorded digitally using a tactile interface (sensory glove). 4. Using the interventions presented here, PASI can be reduced by at least 20%. 5. Using the interventions presented here, pain can be reduced by at least 20% of the initial value. 6. Evaluation of the app by the patients using free text and multiple choice questions and MARS (medication adherence report scale). 7. Basis for decision on the feasibility of a future clinical study for the approval of the app as a type IIb medical device. | — |
Countries
Germany
Contacts
Public ContactAstrid Schmieder
Universitätsklinikum Würzburg, Klinik für Dermatologie, Venerologie und Allergologie
Outcome results
None listed