The Institut for Digital Medicine works at the intersection between computer science, health sciences, and medicine. We focus on the research of mobile devices in medical and clinical services using novel body sensors, smartphones, and wearable and implantable technology. The ubiquitous availability of mobile devices will change medicine and prevention over the next decades. We will help to leverage the move from centralised clinical facilities into the hands of experts as well as lay people, simplifying the access to healthcare, health-related information and health support. The new techniques and additional data will especially enrich clinical research and allow a view into patients’ everyday activities an wellbeing. The further digitalisation of healthcare will especially benefit remote settings and austere environments, which do not have sufficient medical infrastructure.
DISCOVER our homepage here.
- Mobile Medicine
- Mobile Data Acquisition
- Clinical Trial Data Acquisition
- Data Science
- Wearable Devices
- Software Engineering
- Data Privacy and Data Security
5 selected publications
- Reimer LM, Weigel S, Ehrenstorfer F, Adikari M, Birkle W, Jonas S. Mobile Motion Tracking for Disease Prevention and Rehabilitation Using Apple ARKit. In: Hayn D, Schreier G, Baumgartner M, editors. Studies in Health Technology and Informatics [Internet]. IOS Press; 2021 [cited 2021 Jul 29]. Available from: https://ebooks.iospress.nl/doi/10.3233/SHTI210092
- Waldmüller H, Spreckelsen C, Rudat H, Krumm N, Rolke R, Jonas SM. 360-degree Delphi: addressing sociotechnical challenges of healthcare IT. BMC Medical Informatics and Decision Making. 2020;20(1):1–13.
- Titgemeyer, Y.*, Surges, R., Altenmüller, D.-M., Fauser, S., Kunze, A., Lanz, M., Malter, M. P., Nass, R. D. , von Podewils, F., Remi, J., von Spiczak, S., Strzelczyk, A., Ramos, R.*, Kutafina, E.*, Jonas, S. M. Can commercially available wearable EEG devices be used for diagnostic purposes? An explorative pilot study. Epilepsy & Behavior. 2020;106507.
- Ramos RM, Cheng PGF, Jonas SM. Validation of an mHealth App for Depression Screening and Monitoring (Psychologist in a Pocket): Correlational Study and Concurrence Analysis. JMIR Mhealth Uhealth. 2019 Sep 16;7(9):e12051.
- Jonas S, Siewert S, Spreckelsen C. Privacy-Preserving Record Grouping and Consent Management Based on a Public-Private Key Signature Scheme: Theoretical Analysis and Feasibility Study. Journal of Medical Internet Research. 2019;21(4):e12300.