Digital Health Research Group (DHRG)

Team IM 2


Welcome

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
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…

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MITMED

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...

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AuMEDa

AuMEDa aims to create a platform for automated information and feature extraction from paper-based medical documents by using different technology stacks...

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CAGE-TB

In the global context, tuberculosis remains one of the deadliest diseases. Hereby, effectiveness of possible treatment is highly dependent on timely detection.…

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Core 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

Past


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 Göttingen
Professur 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