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

• Braun, M., Greve, M., Brendel, A. B., & Kolbe, L. M. (2023). Humans supervising Artificial intelligence – Investigation of Designs to optimize error detection. Journal of Decision Systems, 1–26. [VHB: B] https://doi.org/10.1080/12460125.2023.2260518
• Kegel, F., Schnell, K., Zajac, K., & Kolbe, L. M. (2023): How Do You Feel? Intentions to Use Embodied Interaction in Video-Based Psychotherapy, Proceedings of the 44th International Conference on Information Systems (ICIS), Hyderabad, India [VHB: A]
• Braun, M.; Kolbe, L. M.; Neumann, C (2023): Natural Language Processing for Medical Texts – A Taxonomy to Inform Integration Decisions into Clinical Practice, Proceedings of the 44th International Conference on Information Systems (ICIS), Hyderabad, India [VHB: A]
• Braun, M.; Greve, M.; Gnewuch, U (2023): The New Dream Team? A Review of Human-AI Collaboration Research From a Human Teamwork Perspective, Proceedings of the 44th International Conference on Information Systems (ICIS), Hyderabad, India [VHB: A]
• Zajac, K., Braun, M., Klein, J., Kolbe, L.M. (2024): Towards Digital Health Equity? - Assessing the Inclusivity of National Digital Health Strategies for Vulnerable Groups, European Conference on Information Systems (ECIS), Paphos, Cyprus [VHB: A]
• Aslan, A., Greve, M., Braun, M., Kolbe, L. M. (2022): Doctors’ Dilemma – Understanding the Perspective of Medical Experts on AI Explanations, Proceedings of International Conference on Information Systems (ICIS), 1-17 [VHB 3: A]

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