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Factors influencing Swedish medical doctors trust in artificial intelligence-based solutions in healthcare: A qualitative interview study
KTH, School of Electrical Engineering and Computer Science (EECS).
2024 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

The implementation of healthcare artificial intelligence (HAI) technologies is believed to improve both quality and efficiency in Swedish healthcare. It is important for clinicians to trust in HAI for such technologies to be successfully implemented. Three recent review articles have summarized lists of potential characteristics that might impact clinician trust in HAI. This study tries to answer which of these previously identified characteristics of HAI technologies that most significantly affect the trust Swedish medical doctors place in them. Semi-structured interviews were conducted with ten Swedish doctors. Results show that performance assurance and data safety were perceived as most important. Several other factors such as decision-making transparency and usability were also identified as important. Most findings are in line with previous research yet provide deeper insights into the interplay between HAI characteristics and trust. Future studies could take a quantitative approach to explore which factors Swedish doctors perceive as most important. Furthermore, there are several complex concepts such as power-control balance that remain to be fully understood.

Abstract [sv]

Implementeringen av artificiell intelligens inom hälso- och sjukvården (HAI) anses kunna förbättra både kvalitet och effektivitet inom svensk hälso- och sjukvård. Det är viktigt att läkare litar på HAI för att sådana teknologier ska kunna implementeras framgångsrikt. Tre nyligen genomförda översiktsartiklar har sammanfattat listor över potentiella egenskaper som kan påverka klinikers förtroende för HAI. Denna studie söker besvara vilka av dessa tidigare identifierade egenskaper hos HAI-teknologier som mest signifikant påverkar det förtroende svenska läkare har för dem. Semistrukturerade intervjuer genomfördes med tio svenska läkare. Resultaten visar att prestandagaranti och datasäkerhet upplevdes som mest betydelsefulla. Flera andra faktorer såsom transparens i beslutsfattande och användbarhet identifierades också som viktiga. Resultaten är generellt i linje med tidigare forskning men ger djupare insikter i samspelet mellan HAI-egenskaper och förtroende. Framtida studier kan ta en kvantitativ ansats för att utforska vilka faktorer svenska läkare uppfattar som mest betydelsefulla. Dessutom finns det flera komplexa begrepp såsom makt-kontrollbalans som återstår att fullt ut förstå.

Place, publisher, year, edition, pages
2024. , p. 8
Series
TRITA-EECS-EX ; 2024:223
Keywords [en]
Healthcare artificial intelligence, HAI, trust, Artificial Intelligence, Swedish Healthcare
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:kth:diva-349585OAI: oai:DiVA.org:kth-349585DiVA, id: diva2:1880736
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Examiners
Available from: 2024-08-08 Created: 2024-07-01 Last updated: 2024-08-08Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
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