Digital Health Research Group (DHRG)


Welcome

Headed by 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.

Maike Greve
Head of Digital Health Research Group (DHRG)


Current Projects & News

B-FAST

In the joint project B-FAST, a technical platform is to be developed. The aim is to collect and integrate information and knowledge about the pandemic in a structured…

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COMPASS

In the COVID 19 pandemic, the smartphone has established itself as the central means of communication to share health information quickly and reliably, even during measures…

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WHO-PEN@Scale

Diabetes and hypertension have developed into a significant global burden. The number of people with diabetes and high blood pressure is rising particularly in low and middle income countries. With the support of the European Commission...

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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

  • 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.
  • Lembcke, T.B.; Engelbrecht, N.; Brendel, A.B.; Kolbe, L.M. (2019): Towards a Unified Understanding of Digital Nudging by Addressing its Analog Roots. Proceedings of Pacific Asia Conference on Information Systems (PACIS).
  • Lembcke, T.B.; Engelbrecht, N.; Brendel, A.B.; Kolbe, L.M. (2019): To Nudge or not to Nudge: Ethical Considerations of Digital Nudging Based on its Behavioral Economics Roots. Proceedings of European Conference on Information Systems (ECIS).
  • 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.


Contact

Universität Göttingen
Professur für Informationsmanagement
Digital Health Research Group (DHRG)
Maike Greve
Humboldtallee 3
37073 Göttingen
+49 (0)551 / 39-21172
maike.greve@uni-goettingen.de