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Acceptans av Artificiell intelligens inom sjukvård: Sjukvårds studenters acceptans kring AI inom sjukvård
University West, School of Business, Economics and IT, Divison of Informatics.
University West, School of Business, Economics and IT, Divison of Informatics.
2020 (Swedish)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [sv]

Artificiell intelligens är en av de mest spännande teknikerna i modern tid. Syftet med den här studien är att undersöka hur acceptansen gentemot AI ser ut för sjukvårdsstudenter. För att ta reda på detta, har en kvantitativ studie i form av enkäter skapats. Dessutom skapades ett antal hypoteser för att undersöka hur de stämmer överens med verkligheten. Enkäten bestod av 60 deltagare som studerar antingen läkare, sjuksköterska eller Biomedicinsk analytiker på Göteborgs Universitet och Högskolan Väst. Resultatet analyserar de faktorerna som påverkar acceptansen av AI. Studien visar att det finns ett samband mellan tillit och acceptans av AI, medan kön och ålder saknar statistisk signifikans och därav påverkar inte acceptansen av AI.

Abstract [en]

Artificiell intelligens is one of the most interesting techniques in modern time. The aim of this study is to examine how the acceptance towards AI is when talking about healthcare students. What has being used to research this, is a quantitative study using a survey. In addition to this a few hypotheses were created to examine if they correspond with reality. The survey consisted of 60 participants who are studying to be doctors, nurses or biomedical analytics, in Gothenburg University and University West. The result of this study analyses the elements that affect the acceptance of AI. This study shows that there is a connection between reliance and acceptance of AI, while there is no statistical significance between sex and age there by they do not affect the acceptance of AI.

Place, publisher, year, edition, pages
2020. , p. 39
Keywords [sv]
Acceptans, Artificiell Intelligens, Sjukvård, Studenter, Technology Acceptance Model
National Category
Information Systems, Social aspects
Identifiers
URN: urn:nbn:se:hv:diva-15269Local ID: EXI500OAI: oai:DiVA.org:hv-15269DiVA, id: diva2:1449379
Subject / course
Informatics
Educational program
Informatik
Supervisors
Examiners
Available from: 2020-07-21 Created: 2020-06-30 Last updated: 2020-07-21Bibliographically approved

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