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A Multi-Directional and Agile Academic Knowledge Transfer Strategy for Healthcare Technology

Autor(en)
Klemme, Isabel ; Richter, Birte 0000-0002-0957-2406 ; De Sabbata, Kevin ; Wrede, Britta 0000-0003-1424-472X ; Vollmer, Anna-Lisa 0000-0002-9378-7249
Normierter Zeitschriftentitel
Frontiers in robotics and AI 
DOI
10.3389/frobt.2021.789827
PubMed-ID
34993238
URN
urn:nbn:de:0070-pub-29605123
URL
https://pub.uni-bielefeld.de/record/2960512
Web of Science-ID
000739222900001

Technology, especially cognitive agents and robots, has significant potential to improve the healthcare system and patient care. However, innovation within academia seldomly finds its way into practice. At least in Germany, there is still a digitalization gap between academia and healthcare practice and little understanding of how healthcare facilities can successfully purchase, implement, and adopt new knowledge and technology. Therefore, the aim of this study is to develop a successful academic knowledge transfer strategy for healthcare technology. We conducted a qualitative study with academic staff working in higher education in Germany and professionals in their practice partner organizations. In 15 semi-structured interviews, we aimed to assess interviewees experiences with knowledge transfer, to identify perceived influencing factors, and to understand the key aspects of a successful knowledge transfer strategy. The Dynamic Knowledge Transfer Model byWehn and Montalvo, 2018was used for data analysis. Based on our findings, we suggest that a successful transfer strategy between academia and practice needs to be multi-directional and agile. Moreover, partners within the transfer need to be on equal terms about expected knowledge transfer project outcomes. Our proposed measures focus particularly on regular consultations and communication during and after the project proposal phase.

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