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Navigating the Integration of AI- based Technologies in Healthcare

Wendel, Lovisa LU and Froborg, Rebecca (2024) SYSK16 20241
Department of Informatics
Abstract (Swedish)
Denna kandidatuppsats utforskar acceptansfaktorer för AI-baserade teknologier inom svensk sjukvård bland vårdpersonal. Genom en kvalitativ forskningsmetod med semistrukturerade in- tervjuer har data samlats in från sjuksköterskor och läkare i svensk sjukvård. Resultaten analy- serades tematiskt och resulterade i sex huvudteman som belyser viktiga insikter om hur vård- personal uppfattar och accepterar användningen av AI i deras arbetsmiljö. Denna forskning betonar behovet av att förstå och adressera vårdpersonalens perspektiv för att framgångsrikt integrera AI-teknologier i svensk sjukvård. Vidare rekommenderas framtida forskning för att utforska djupare dynamiken kring implementeringen av AI-teknologier inom vården och för att ge... (More)
Denna kandidatuppsats utforskar acceptansfaktorer för AI-baserade teknologier inom svensk sjukvård bland vårdpersonal. Genom en kvalitativ forskningsmetod med semistrukturerade in- tervjuer har data samlats in från sjuksköterskor och läkare i svensk sjukvård. Resultaten analy- serades tematiskt och resulterade i sex huvudteman som belyser viktiga insikter om hur vård- personal uppfattar och accepterar användningen av AI i deras arbetsmiljö. Denna forskning betonar behovet av att förstå och adressera vårdpersonalens perspektiv för att framgångsrikt integrera AI-teknologier i svensk sjukvård. Vidare rekommenderas framtida forskning för att utforska djupare dynamiken kring implementeringen av AI-teknologier inom vården och för att ge praktiska implikationer för effektiv användning av dessa teknologier. Genom att öka med- vetenheten om acceptansfaktorer och utmaningar kan denna forskning bidra till att främja en mer effektiv och hållbar integration av AI i svensk sjukvård, vilket i sin tur kan leda till förbätt- rad vårdkvalitet och patientresultat. (Less)
Abstract
This bachelor thesis explores acceptance factors for AI-based technologies in Swedish healthcare among healthcare practitioners. Using a qualitative research method with semi-struc- tured interviews, data was collected from nurses and physicians in the Swedish healthcare sys- tem. Thematic analysis of the results yielded six main themes that provide valuable insights into how healthcare professionals perceive and accept the use of AI-based technology in their work environment. This research emphasises the need to understand and address healthcare practitioners' perspectives to successfully integrate AI-based technologies in Swedish healthcare. Further research is recommended to delve deeper into the dynamics of implement- ing AI... (More)
This bachelor thesis explores acceptance factors for AI-based technologies in Swedish healthcare among healthcare practitioners. Using a qualitative research method with semi-struc- tured interviews, data was collected from nurses and physicians in the Swedish healthcare sys- tem. Thematic analysis of the results yielded six main themes that provide valuable insights into how healthcare professionals perceive and accept the use of AI-based technology in their work environment. This research emphasises the need to understand and address healthcare practitioners' perspectives to successfully integrate AI-based technologies in Swedish healthcare. Further research is recommended to delve deeper into the dynamics of implement- ing AI technologies in healthcare and to provide practical implications for their effective use. By increasing awareness of acceptance factors and challenges, this research contributes to pro- moting a more efficient and sustainable integration of AI in Swedish healthcare, ultimately leading to improved quality of care and patient outcomes. (Less)
Please use this url to cite or link to this publication:
author
Wendel, Lovisa LU and Froborg, Rebecca
supervisor
organization
alternative title
Acceptance Factors among Healthcare Practitioners
course
SYSK16 20241
year
type
M2 - Bachelor Degree
subject
keywords
Acceptance Factors, AI-based Technologies, Swedish Healthcare, Healtcare Practitioners, AI Integration
language
English
id
9154308
date added to LUP
2024-05-28 08:56:02
date last changed
2024-05-28 08:56:02
@misc{9154308,
  abstract     = {{This bachelor thesis explores acceptance factors for AI-based technologies in Swedish healthcare among healthcare practitioners. Using a qualitative research method with semi-struc- tured interviews, data was collected from nurses and physicians in the Swedish healthcare sys- tem. Thematic analysis of the results yielded six main themes that provide valuable insights into how healthcare professionals perceive and accept the use of AI-based technology in their work environment. This research emphasises the need to understand and address healthcare practitioners' perspectives to successfully integrate AI-based technologies in Swedish healthcare. Further research is recommended to delve deeper into the dynamics of implement- ing AI technologies in healthcare and to provide practical implications for their effective use. By increasing awareness of acceptance factors and challenges, this research contributes to pro- moting a more efficient and sustainable integration of AI in Swedish healthcare, ultimately leading to improved quality of care and patient outcomes.}},
  author       = {{Wendel, Lovisa and Froborg, Rebecca}},
  language     = {{eng}},
  note         = {{Student Paper}},
  title        = {{Navigating the Integration of AI- based Technologies in Healthcare}},
  year         = {{2024}},
}