Core competences and fields of application of the DHRG

• Development and experimental testing of digital health solutions and business models.
• Acceptance research regarding new healthcare information systems (via user surveys or methodical analysis, e.g. structural equation modeling).
• Development of information systems in the context of healthcare and well-being (such as online platforms and mobile applications).
• Application of data mining, machine learning and artificial intelligence to derive health-related information and knowledge from data.

Research projects

• NUM-GUIDE: Ganzheitliche Untersuchung zur Implementierung und Durchführung evidenzbasierter Governance-Entscheidungen
• KISSKI: A highly available AI service centre for sensitive and critical infrastructures
• PREPARED: Preparedness and Pandemic Response in Deutschland
• MITMed: Multimodal Interaction System for Telemedicine – Complementing Video-Based Psychotherapy Through a Wearable and Integrated IS
• AuMEDa: Automated information and feature extraction from MEDical documents – structured data with artificial intelligence
• CAGE-TB – Automated smartphone-based cough audio classification for rapid tuberculosis triage testing
  
• CAEHR – Enhancing healthcare through intelligent data integration
  
• SOMNOLINK - Connected sleep data and decision support along the patient care pathway for better treatment of obstructive sleep apnea
  

Past

• How to Survive a Crisis: Understanding how Small and Medium-Sized Enterprises Adapted their Business Models to be Resilient during the COVID-19 Pandemic
  
• Scaling up the WHO-PEN package for diabetes and hypertension in eSwatini: a nation-wide cluster-randomised evaluation of three strategies in eSwatini (WHO-PEN@Scale)
  
• CODEX+: Collaborative Data Exchange and Usage
• B-FAST: Bundesweites Forschungsnetz „Angewandte Surveillance und Testung“
  
• COMPASS: „Coordination on mobile pandemic apps best practice and solution sharing“
  
• Data collection on the effect of modified chatbots on employee motivation
  
• Smartes Intermodales Pendel Portal (SIPP)
  
• Effizienzbewertung von Dienstleistungskonfigurationen in der Telemedizin Efficiency evaluation of service configurations in telemedicine (EDiMed)
  

Excerpt of research papers

• Greve, M.; Gantner, M.; Harnischmacher, C.; Brendel, A.B.; Kolbe, L.M. (2021): Framing Research Questions Intersecting Information Systems and Health: A New Research Perspective at Micro- and Macro-Level, Proceedings of Hawaii International Conference on System Sciences 2021, pp. 1-10.
• Greve, M.; Lembcke, T.-B.; Diederich, S.; Brendel, A.B.; Kolbe, L. (2020): Healthy by App – Towards a Taxonomy of Mobile Health Applications, Proceedings of the Pacific Asia Conference on Information Systems (PACIS), Dubai, UAE.
• Greve, M.; Lichtenberg, S.; Diederich, S.; Brendel, A.B. (2020): Supporting Non-Communicable Disease Prevention through a mHealth Application in Decentralized Healthcare Systems: Action Design Research in Eswatini, Proceedings of European Conference on Information Systems (ECIS), Marrakech, Morocco.
• Lichtenberg, S.; Greve, M.; Brendel, A.B.; Kolbe, L.M. (2019): Towards the Design of a Mobile Application to Support Decentralized Healthcare in Developing Countries – The Case of Diabetes Care in eSwatini, Proceedings of Americas Conference on Information Systems (AMCIS), Mexico.
• Tofangchi, S.; Hanelt, A.; Böhrnsen, F. (2017): Distributed Cognitive Expert Systems in Cancer Data Analytics: A Decision Support System for Oral and Maxillofacial Surgery. International Conference on Information Systems.

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