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Healthcare Leaders' Perceptions of the Usefulness of AI Applications in Clinical Work: A Qualitative Study
Halmstad University, School of Health and Welfare. (Healthcare improvement group)ORCID iD: 0000-0001-7874-7970
Halmstad University, School of Health and Welfare. (Healthcare improvement group)ORCID iD: 0000-0003-4438-6673
Halmstad University, School of Health and Welfare. (Healthcare improvement group)ORCID iD: 0000-0002-3576-2393
Halmstad University, School of Health and Welfare. (Healthcare improvement group)ORCID iD: 0000-0002-4341-660X
2023 (English)In: Caring is sharing - exploiting the value in data for health and innovation: 33rd Medical Informatics Europe Conference, MIE2023, Gothenburg, Sweden, 22-25 May, Amsterdam: IOS Press, 2023, Vol. 302, p. 678-679Conference paper, Published paper (Refereed)
Abstract [en]

Artificial intelligence (AI) is often presented as a technology that changes healthcare and is useful in clinical work in disease prediction, diagnosis, treatment effectiveness, and precision health. This study aimed to explore healthcare leaders' perceptions of the usefulness of AI applications in clinical work. The study was based on qualitative content analysis. Individual interviews were conducted with 26 healthcare leaders. The usefulness of AI applications in clinical care was described in terms of expected benefits for 1) patients as supporting individualized self-management and person-centered information support tools 2) healthcare professionals in terms of providing decision-support in diagnostics, risk assessments, treatment recommendations, warning systems, and as a new colleague supporting the clinical work, and 3) organizations as providing patient safety and decision-support in prioritizing healthcare resources in organizing healthcare.

Place, publisher, year, edition, pages
Amsterdam: IOS Press, 2023. Vol. 302, p. 678-679
Series
Studies in Health Technology and Informatics, ISSN 0926-9630, E-ISSN 1879-8365 ; 302
Keywords [en]
AI-based applications, healthcare leaders, qualitative study, usefulness
National Category
Health Care Service and Management, Health Policy and Services and Health Economy
Research subject
Health Innovation, IDC
Identifiers
URN: urn:nbn:se:hh:diva-51972DOI: 10.3233/SHTI230235ISI: 001071432900177PubMedID: 37203777Scopus ID: 2-s2.0-85159767799OAI: oai:DiVA.org:hh-51972DiVA, id: diva2:1811365
Conference
33rd Medical Informatics Europe Conference: Caring is Sharing - Exploiting the Value in Data for Health and Innovation, MIE2023. Gothenburg, Sweden, 22-25 May, 2023
Available from: 2023-11-13 Created: 2023-11-13 Last updated: 2023-11-14Bibliographically approved

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Petersson, LenaSvedberg, PetraNygren, Jens M.Larsson, Ingrid

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Citation style
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