Implementation and User Satisfaction of a Comprehensive Telemedicine Approach for SARS-CoV-2 Self-Sampling: Monocentric, Prospective, Interventional, Open-Label, Controlled, Two-Arm Feasibility Study
These preliminary findings suggest that a telemedicine-based approach to SARS-CoV-2 testing is feasible and could be integrated into existing hospital data infrastructures. This model has the potential for broader application in medical care, offering a scalable solution that could improve user satisfaction and treatment quality in the future.
Authors
- Florian Voit (ORCID: https://orcid.org/0000-0002-6957-6628)
- Johanna Erber (ORCID: https://orcid.org/0000-0001-6614-6051)
- Michael Laxy (ORCID: https://orcid.org/0000-0001-8775-7417)
- Victoria Kehl (ORCID: https://orcid.org/0000-0002-7403-9990)
- Florian Kohlmayer (ORCID: https://orcid.org/0000-0002-5384-0076)
- Simon Weidlich (ORCID: https://orcid.org/0000-0001-7193-2778)
- Roland M. Schmid (ORCID: https://orcid.org/0000-0002-6945-7581)
- Dieter Hoffmann (ORCID: https://orcid.org/0000-0003-3566-3341)
- Christoph D. Spinner (ORCID: https://orcid.org/0000-0002-3875-5367)
- Silvia Egert-Schwender (ORCID: https://orcid.org/0009-0007-2175-7909)
- Samuel D. Jeske (ORCID: https://orcid.org/0000-0003-1948-2057)
- Michael Hanselmann (ORCID: https://orcid.org/0000-0001-8393-6397)
- Thomas Michler (ORCID: https://orcid.org/0000-0002-4174-3316)
- Ulrike Protzer (ORCID: https://orcid.org/0000-0002-9421-1911)
Institutions
- Artificial Intelligence in Medicine (Canada) (CA)
- Technical University of Munich (DE)
Publication Details
- Journal
- JMIR Formative Research
- Published
- 2024-09-05
- DOI
- https://doi.org/10.2196/57608
- Citations
- 1
- Primary Topic
- COVID-19 diagnosis using AI
- Type
- article
- Field-Weighted Citation Impact
- 0.40
Funders
- Bundesministerium für Bildung und Forschung
- Technische Universität München