Digital Health Research Group (DHRG)
Headed by Dr. Maike Greve, the Digital Health Research Group (DHRG) is an interdisciplinary research team that draws from the fields of business information systems, economics, statistics, and data science to investigate topics related to healthcare information systems. In this regard, the research group focuses on developing innovative solutions to help guide the rapidly evolving healthcare industry towards improved capabilities via digital means. The DHRG collaborates with several industry and governmental partners, including its status as a research partner in the EU funded pioneer project "WHO-PEN@Scale". Furthermore, we also participate in industry projects, for instance, applying artificial intelligence approaches to analyze medical reports in cooperation with the Universitätsmedizin Göttingen (UMG). Similarly, in a strategic partnership with the Rezeptprüfstelle Duderstadt (RPD), we examine innovative potentials of machine learning algorithms in the field of medical business processes. This includes the explorative analysis of big process data sets, the implementation of innovative IT artifacts, and the derivation and evaluation of new data-driven business models.
Dr. Maike Greve
Welcome
Head of Digital Health Research Group (DHRG)
Current Projects & News
KISSKI
KISSKI aims to develop tailored AI-as-a-Service solutions to address the increasing demands in the field of artificial intelligence, especially concerning medical and energy-related infrastructures…
MehrMITMED
MITMed aims to develop a hybrid interaction system that complements video-based psychotherapy in situations where face-to-face contact is not possible. The system will...
MehrAuMEDa
AuMEDa aims to create a platform for automated information and feature extraction from paper-based medical documents by using different technology stacks...
MehrCAGE-TB
In the global context, tuberculosis remains one of the deadliest diseases. Hereby, effectiveness of possible treatment is highly dependent on timely detection.…
MehrCore competences and fields of application of the DHRG
The core competence of the DHRG is focused on the user-oriented evaluation of new technologies and concepts. Thus, our primary objectives include the development and testing of innovations, and the creation of business models and information systems regarding intelligent, effective and efficient healthcare. We pursue the collaborative development of scientific publications by working in an interdisciplinary research environment within these areas of research and application in order to exchange knowledge within both the scientific and practitioner communities.- 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
Present- 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]
Contact
Universität GöttingenProfessur für Informationsmanagement
Digital Health Research Group (DHRG)
Dr. Maike Greve
MZG 8th Floor
Platz der Göttinger Sieben 5
37073 Göttingen
+49 (0)551 / 39-21172
maike.greve@uni-goettingen.de