Applying Team Science to Collaborative Digital Health Research: Learnings from the Wearable Clinic.

Autor:	Peek N; Division of Informatics, Imaging and Data Sciences, University of Manchester, UK., Stockton-Powdrell C; Division of Informatics, Imaging and Data Sciences, University of Manchester, UK., Casson A; Department of Electrical & Electronic Engineering, University of Manchester, UK., Sperrin M; Division of Informatics, Imaging and Data Sciences, University of Manchester, UK., Parsia B; Department of Computer Science, University of Manchester, UK., Manca A; Centre for Health Economics, University of York, UK., Iglesias C; Centre for Health Economics, University of York, UK., Habli I; Department of Computer Science, University of York, UK., Hassan L; Division of Psychology and Mental Health, University of Manchester, UK., Antrobus S; Division of Informatics, Imaging and Data Sciences, University of Manchester, UK., Machin M; Division of Informatics, Imaging and Data Sciences, University of Manchester, UK.
Jazyk:	angličtina
Zdroj:	Studies in health technology and informatics [Stud Health Technol Inform] 2024 Jan 25; Vol. 310, pp. 374-378.
DOI:	10.3233/SHTI230990
Abstrakt:	Collaboration across disciplinary boundaries is vital to address the complex challenges and opportunities in Digital Health. We present findings and experiences of applying the principles of Team Science to a digital health research project called 'The Wearable Clinic'. Challenges faced were a lack of shared understanding of key terminology and concepts, and differences in publication cultures between disciplines. We also encountered more profound discrepancies, relating to definitions of "success" in a research project. We recommend that collaborative digital health research projects select a formal Team Science methodology from the outset.
Databáze:	MEDLINE
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