Carsten Vogel
M.Sc. Carsten Vogel
Kurzer Lebenslauf
seit 2019 | Wissenschaftlicher Mitarbeiter am Institut für Klinische Epidemiologie und Biometrie an der Universität Würzburg |
2016-2019 | Studium M.Sc. Informatik an der Universität Ulm |
2011-2016 | Studium B.Sc. Informatik an der Universität Ulm |
Wissenschaftliche Schwerpunkte
Digitale Anwendungen im Gesundheitswesen mit Fokus auf Mobile Health (mHealth)
Als Doktorand und wissenschaftlicher Mitarbeiter an der Universität und dem Universitätsklinikum Würzburg konzentriere ich mich auf die Entwicklung innovativer Mobile-Health-Lösungen (mHealth). Mit fundierten Informatikkenntnissen (M.Sc. und B.Sc. an der Universität Ulm) bin ich auf die Integration digitaler Gesundheitstechnologien in die klinische Praxis spezialisiert und verbessere die Patientenversorgung durch Ecological Momentary Assessment (EMA) und Just-in-Time Adaptive Interventions (JITAI).
Zu meinen wichtigsten Projekten gehören mobile Gesundheitsanwendungen für psychische und physische Gesundheitsprobleme, wie Psychotherapie (Intersession), Stressmanagement (TrackYourStress) und Tinnitus-Unterstützung (UNITI, TrackYourTinnitus), sowie Plattformen für Echtzeit-Gesundheitsüberwachung. Ich engagierte mich außerdem bei BETTER-CARE, einem Projekt zur personalisierten Brustkrebsnachsorge. Derzeit arbeite ich an den mobilen Apps zu den Projekten ePro-Schools, das sich mit Ernährung und körperlicher Gesundheit von Jugendlichen befasst, BackUp, einer App zur Linderung von Rückenbeschwerden, sowie PCOR-MII, einer Gamification-Adhärenz-Studie.
Meine Mission ist es, Innovationen im Gesundheitswesen durch Technologie voranzutreiben und so die Art und Weise zu verbessern, wie wir Gesundheitsergebnisse managen und verbessern.
Lassen Sie uns in Kontakt treten und gemeinsam die Zukunft der Gesundheitstechnologie gestalten.
Projekte
Projektname | URLs | Zeitraum |
PCOR-MII |
| 2025-... |
BackUp |
| 2024-... |
Six-Minute Walk Test (6MWT) | www.6mwt.org, Apple App Store, Google Play Store | 2024-... |
ePro-Schools |
| 2024-... |
PaTyp |
| 2024-... |
pro-mental | 2022-... | |
BETTER-CARE & ACTonCancer Mobile | better-care.health, Apple App Store, Google Play Store | 2021-2025 |
Myelom App | 2020 | |
Corona Health | corona-health.net, Apple App Store, Google Play Store | 2020 |
Corona Check Screening | coronacheck.science, Apple App Store, Google Play Store | 2020-2023 |
UNITI | uniti.tinnitusresearch.net, Apple App Store, Google Play Store | 2019-... |
TrackYourStress | Apple App Store, Google Play Store | 2019-... |
TrackYourHealth | 2019-... | |
Intersession | Apple App Store | 2018-2022 |
Publikationen der letzten Jahre
-
Extending a Highly Configurable EMA and JITAI Mobile App Framework with Passive Sensing, Gamification, and AI Features for a Large-Scale Physical Activity and Nutrition Study. In: Arabnia HR, Deligiannidis L, Shenavarmasouleh F, Amirian S, Ghareh Mohammadi F, editors. Computational Science and Computational Intelligence. Springer Nature Switzerland; 2025. pp. 26-41..
-
The BrEasT cancer afTER-CARE (BETTER-CARE) programme to improve breast cancer follow-up: design and feasibility study results of a cluster-randomised complex intervention trial. Trials [Internet]. 2024;25(1):767. Available from: https://doi.org/10.1186/s13063-024-08614-8.
- [ DOI ]
-
A Similarity-Guided Framework for Error-Driven Discovery of Patient Neighbourhoods in EMA Data. In: Crémilleux B, Hess S, Nijssen S, editors. Advances in Intelligent Data Analysis XXI. Springer Nature Switzerland; 2023. pp. 459-71..
- [ DOI ]
-
Predicting Patient-Based Time-Dependent Mobile Health Data. In: 2023 IEEE 36th International Symposium on Computer-Based Medical Systems (CBMS). 2023. pp. 79-84..
- [ DOI ]
-
Exploring Concepts for Pipeline-Driven Mobile Health Data Dashboards: Insights from Personal Projects and GitHub Contributions. In: 2023 International Conference on Computational Science and Computational Intelligence (CSCI). 2023. pp. 1344-50..
- [ DOI ]
-
A Highly Configurable EMA and JITAI Mobile App Framework Utilized in a Large-Scale German Study on Breast Cancer Aftercare. In: 2023 IEEE 36th International Symposium on Computer-Based Medical Systems (CBMS). 2023. pp. 103-10..
- [ DOI ]
-
The statistical analysis plan for the unification of treatments and interventions for tinnitus patients randomized clinical trial (UNITI-RCT). Trials [Internet]. 2023;24(1):472. Available from: https://doi.org/10.1186/s13063-023-07303-2.
- [ DOI ]
-
Pilot study of a smartphone-based tinnitus therapy using structured counseling and sound therapy: A multiple-baseline design with ecological momentary assessment. PLOS Digital Health [Internet]. 2023;2(1):e0000183. Available from: https://doi.org/10.1371/journal.pdig.0000183.
- [ DOI ]
-
Self-Assessment of Having COVID-19 With the Corona Check Mhealth App. IEEE J Biomed Health Inform. 2023;Pp..
- [ DOI ]
-
The Impact of Coping Styles and Gender on Situational Coping: An Ecological Momentary Assessment Study With the mHealth Application TrackYourStress. Frontiers in Psychology [Internet]. 2022;13. Available from: https://www.frontiersin.org/articles/10.3389/fpsyg.2022.913125.
- [ DOI ]
-
Developing apps for researching the covid-19 pandemic with the trackyourhealth platform. In: 2021 IEEE/ACM 8th International Conference on Mobile Software Engineering and Systems (MobileSoft). IEEE; 2021. pp. 65-8..
- [ DOI ]
-
Towards a unification of treatments and interventions for tinnitus patients: The EU research and innovation action UNITI. In: Schlee W, Langguth B, Kleinjung T, Vanneste S, De Ridder D, editors. Progress in Brain Research [Internet]. Elsevier; 2021. pp. 441-5. Available from: https://www.sciencedirect.com/science/article/pii/S0079612320302351.
- [ DOI ]
-
Corona Health—A Study- and Sensor-Based Mobile App Platform Exploring Aspects of the COVID-19 Pandemic. International Journal of Environmental Research and Public Health [Internet]. 2021;18(14):7395. Available from: https://www.mdpi.com/1660-4601/18/14/7395.
- [ DOI ]
-
UNITI Mobile—EMI-Apps for a Large-Scale European Study on Tinnitus. In: 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). 2021. pp. 2358-62..
- [ DOI ]
-
Using Big Data to Develop a Clinical Decision Support System for Tinnitus Treatment. In: Searchfield GD, Zhang J, editors. The Behavioral Neuroscience of Tinnitus [Internet]. Cham: Springer International Publishing; 2021. pp. 175-89. Available from: https://doi.org/10.1007/7854_2021_229.
- [ DOI ]
-
Technical Challenges of a Mobile Application Supporting Intersession Processes in Psychotherapy. Procedia Computer Science [Internet]. 2020;175:261-8. Available from: https://www.sciencedirect.com/science/article/pii/S187705092031718X.
- [ DOI ]
-
Intersession-Online: A Smartphone Application for Systematic Recording and Controlling of Intersession Experiences in Psychotherapy. Vols. 2. 2019. pp. 480-95..
- [ DOI ]