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Expected values of implementing AI in healthcare – A Qualitative study
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- Petersson, Lena, 1968- (author)
- Högskolan i Halmstad,Akademin för hälsa och välfärd
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- Svedberg, Petra, 1973- (author)
- Högskolan i Halmstad,Akademin för hälsa och välfärd
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- Nygren, Jens M., 1976- (author)
- Högskolan i Halmstad,Akademin för hälsa och välfärd
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- (creator_code:org_t)
- Halmstad, 2023
- 2023
- English.
- In: Nordic Health Promotion Research Conference 2023. - Halmstad.
- Conference paper (peer-reviewed)
Abstract
Subject headings
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- Background: Artificial intelligence (AI) is often presented as a technology that will change healthcare and be useful inclinical work in disease prediction, diagnosis, and precision health. More knowledge is needed regarding the value of AI applications based on the perspectives of healthcare leaders to understand their roles as gatekeepers and facilitatorsfor successful implementation.The purpose of the study: To explore healthcare leaders’ perceptions of the value of AI applications in clinical work.Methods: The study had an explorative qualitative approach. Individual interviews were conducted from October2020 to May 2021 with 26 healthcare leaders with different experiences in implementing AI in clinical practice in acounty council in Sweden. Inductive qualitative content analysis was used, and eight sub-categories and threecategories emerged.Findings: The value of AI applications in clinical care was described in terms of expected benefits for patients as toolssupporting person-centered information and individualized self-management. The expected benefits for healthcareprofessionals included decision-support in diagnostics, risk assessments, and treatment recommendations but alsoproviding warning systems and second opinions in clinical work. On an organizational level, the benefits comprisedpatient safety and decision-support in prioritizing healthcare resources in and across healthcare organizations.Conclusions: The healthcare leaders perceived that AI applications would provide value on different levels inhealthcare for patients, healthcare professionals, and organizations. Across these levels, the implementation of AI cansupport person-centeredness, patient self-management, quality of care, patient safety, and resource optimization.
Subject headings
- MEDICIN OCH HÄLSOVETENSKAP -- Hälsovetenskap (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Health Sciences (hsv//eng)
Keyword
- AI applications
- healthcare leaders
- qualitative study
- value
- Hälsoinnovation
- Health Innovation
- IDC
- IDC
Publication and Content Type
- ref (subject category)
- kon (subject category)
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