Publikationen

Im Folgenden finden Sie die bereits auf Konferenzen und in Journals angenommenen oder veröffentlichten wissenschaftlichen Studien des Konsortiums:

  • Blankenhagel, K. J. and Zarnekow, R. (2018). Digitalisierung in der psychotherapeutischen Versorgung – ein Literatur-Review zum Status quo internet- und mobilbasierte Versorgungsprogramme und Ableitung einer Klassifizierung. Multikonferenz der Wirtschaftsinformatik 2018.
  • Blankenhagel, K. J. (2019). Identifying Usability Challenges of eHealth Applications for People with Mental Disorders: Errors and Design Recommendations. 13th EAI International Conference on Pervasive Computing Technologies for Healthcare.
  • Blankenhagel, K. J., Werner, J., Mayer, G., Schultz, JH., and Zarnekow, R. (2020). Understanding E-Mental Health for People with Depression: An Evaluation Study. International Conference on Information Systems (in Review).
  • Mayer, G., Gronewold, N., Bubolz, S., Hilbel, T. and Schultz, JH. (2019): What’s inside? Quality of the digital realization of psychotherapeutic interventions in programs and apps against depression 10th ISRII Conference (International Society of Research on Internet Interventions).
  • Bubolz, S., Mayer, G., Gronewold, N., Hilbel, T. & Schultz, J. H. 2020. Adherence to Established Treatment Guidelines Among Unguided Digital Interventions for Depression: Quality Evaluation of 28 Web-Based Programs and Mobile Apps. J Med Internet Res, 22, e16136.
  • Hilbel, T., Schultz, JH (2018). Medical and Safety Issues for Wearable Activity and Heartrate Trackers. 43rd Annual Conference April der International Society of Computerized Electrocardiology (ISCE).
  • Koch, R., Blankenhagel, K. J. and Zarnekow, R. (2020). Systemakzeptanz digitaler Technologien zur Therapie von Depressionen – die Perspektive der Psychotherapeuten. Internationalen Tagung Wirtschaftsinformatik.
  • Mayer, G., Gronewold, N., Alvarez, S., Bruns, B., Hilbel, T., Schultz, JH. (2019). Acceptance and Expectations of Medical Experts, Students, and Patients Toward Electronic Mental Health Apps: Cross-Sectional Quantitative and Qualitative Survey Study. JMIR Ment Health. 6(11):e14018. Published 2019 Nov 25. doi:10.2196/14018
  • Mayer, G., Gronewold, N., Alvarez, S., Bruns, B., Hilbel, T., Schultz, JH. (2019): Akzeptanz und Erwartungen von Fachkräften, Studierenden und Patienten gegenüber Gesundheits-Apps für psychische Erkrankungen. Deutscher Kongress für Psychosomatische Medizin und Psychotherapie (DKPM).
  • Mayer, G., Gronewold, N., Blankenhagel, K., Hilbel, T., Schultz, JH. (2019): SELFPASS: Checking the functionality, practicality and acceptance of an app against depression“. 6thESRII Conference  (European Society for Research on Internet Interventions).
  • Theilig, M.-M., Blankenhagel, K. J. and Zarnekow, R. (2018). A Domains Oriented Framework of Recent Machine Learning Applications in Mobile Mental Health. Information Systems and Neuroscience. Springer International Publishing, 283.
  • Theilig, M.-M., Korbel, J. J., Mayer, G., Hoffmann, C. and Zarnekow, R. (2019). Employing Environmental Data and Machine Learning to Improve Mobile Health Receptivity. IEEE Access.
  • Theilig, M.-M., Werner, J., Schoffke, F. and Zarnekow, R. (2020). The Case for mHealth Standardization for Electronic Health Records in the German Healthcare System. Information Systems. Springer International Publishing.
  • Witte, A.-K. and Zarnekow, R. (2018). Is Open Always Better – A Taxonomy-based Analysis of Platform Ecosystems for Fitness Trackers. Proceedings of the Multikonferenz Wirtschaftsinformatik.
  • Witte, A.-K. and Zarnekow, R. (2019). Transforming Personal Healthcare through Technology – A Systematic Literature Review of Wearable Sensors for Medical Application. Proceedings of the 52nd Hawaii International Conference on System Sciences (HICSS).
  • Witte, A.-K., Blankenhagel, K. J., Korbel, J. J. and Zarnekow, R. (2019). How accurate is accurate enough? – An Evaluation of Commercial Fitness Trackers for Individual Health Management. Proceedings of the 25th Americas Conference on Information Systems (AMCIS).