Designing Knowledge-Driven Digitalization : Novel Recommendations for Digitally Supported Multi-Professional Collaboration

Title data

Meindl, Oliver ; Peuten, Sarah ; Striebel, Xena ; Gimpel, Henner ; Ostgathe, Christoph ; Schneider, Werner ; Steigleder, Tobias:
Designing Knowledge-Driven Digitalization : Novel Recommendations for Digitally Supported Multi-Professional Collaboration.
In: Frontiers in Digital Health. Vol. 7 (2025) . - 1511973.
ISSN 2673-253X
DOI: https://doi.org/10.3389/fdgth.2025.1511973

Official URL:

Abstract in another language

Palliative care is based on the principle of multi-professional collaboration, which integrates diverse competencies and perspectives to provide holistic care and support for patients and their relatives. In palliative care teams, there is an intensive exchange of information and knowledge; however, current documentation and hospital information systems often fall short of meeting the specific demands for effective collaboration and dynamic communication in this field. This interdisciplinary study aims to demonstrate the added value of knowledge-driven digitalization. It provides novel recommendations for digitally supported multi-professional collaboration tailored to the specific requirements of palliative care and similar fields. Based on the analytical distinction between ‘information’ and ‘knowledge,’ we present design recommendations for co-creative, knowledge-driven development processes and multi-professional collaboration support systems. We further illustrate how these recommendations have been implemented into a functional technical demonstrator and outline how our results could impact future digitalization initiatives in healthcare.

Further data

Item Type:	Article in a journal
Refereed:	Yes
Keywords:	multi-professional collaboration; knowledge-driven digitalization; co-creation; recommendation; collaboration support system; palliative care; action design research
Institutions of the University:	Faculties > Faculty of Law, Business and Economics > Department of Business Administration Research Institutions Research Institutions > Affiliated Institutes Research Institutions > Affiliated Institutes > Branch Business and Information Systems Engineering of Fraunhofer FIT Research Institutions > Affiliated Institutes > FIM Research Center for Information Management
Result of work at the UBT:	No
DDC Subjects:	000 Computer Science, information, general works > 004 Computer science 300 Social sciences > 330 Economics
Date Deposited:	15 Oct 2025 05:55
Last Modified:	15 Oct 2025 05:55
URI:	https://eref.uni-bayreuth.de/id/eprint/94911