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How digital applications can facilitate knowledge sharing in health care
University West, Department of Engineering Science, Division of industrial engineering. (KAMAIL iAIL, KAMPT)ORCID iD: 0000-0003-1134-1938
University West, School of Business, Economics and IT, Divison of Informatics. (KAMAIL iAIL)ORCID iD: 0000-0002-1421-868X
2024 (English)In: Learning Organization, ISSN 0969-6474, E-ISSN 1758-7905, Vol. 32, no 1, p. 58-74Article in journal (Refereed) Published
Abstract [en]

Purpose – This paper focuses on knowledge sharing in health care. The aim of the paper is to furtherunderstand how digital applications can facilitate knowledge sharing between different care providers andhealth-care professionals.

Design/methodology/approach – The paper is based on a qualitative action case study, performed as aformative intervention study as a Change Laboratory, where a digital application concerning wound supportwas used. The Change Laboratory was used for knowledge sharing in the assessment and treatment process ofwounds. The collected data was then thematically analyzed.

Findings – The findings show how digital applications can facilitate knowledge sharing, but also the need forcomplementary collaborative sessions. The main contribution is the rich description of how digitalapplications together with these sessions can facilitate knowledge sharing.

Originality/value – This paper shows that activities as collaborative sessions performed on theorganizational level prove to support knowledge sharing and learning when a new digital application has beenimplemented in the work process. It also shows that these sessions contributed to identifying new knowledgethat has potential for being included in the application and hence are important to keeping the applicationupdated and relevant over time

Place, publisher, year, edition, pages
2024. Vol. 32, no 1, p. 58-74
Keywords [en]
Knowledge sharing, Healthcare, Digital applications, Change laboratory
National Category
Educational Sciences Nursing
Research subject
Work-Integrated Learning; Production Technology
Identifiers
URN: urn:nbn:se:hv:diva-22851DOI: 10.1108/tlo-01-2024-0002ISI: 001284197700001Scopus ID: 2-s2.0-85200504587OAI: oai:DiVA.org:hv-22851DiVA, id: diva2:1924193
Available from: 2025-01-03 Created: 2025-01-03 Last updated: 2025-09-30Bibliographically approved

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Aggestam, LenaSvensson, Ann

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