Abstract
Given the burdensome disease, cancer, and the challenges presented by limited resources to deal with it, the field of oncology looks to artificial intelligence (AI) as a potential help. This exploratory study seeks to understand the AI implementation process, and to understand the barriers and facilitators to AI adoption. Semi-structured interviews were conducted with 11 stakeholders in strategic positions. Interviews were transcribed, followed by a thematic analysis. Results show that attitudes towards AI adoption and use are generally positive. Communication and support, as well as quality data and good AI performance within the clinical context, aid the implementation of AI. Benefits such as time saving and reduced workload for clinicians are noted. However, challenges related to funding, unsatisfactory AI performance, and lack of transparency can negatively impact adoption. Legal challenges exist regarding AI projects and required data, however compliance with GDPR is endorsed. To aid AI adoption, issues contributing to uncertainty and factors resulting in lack of trust need to be addressed.
Recommended Citation
Khumalo, Akhona C.; Broden, Karin; Bellström, Peter; and Alaqra, Ala Sarah, "AI ADOPTION IN ONCOLOGY: IMPLEMENTATION PROCESS, BARRIERS, AND FACILITATORS" (2024). Selected Papers of the IRIS, Issue Nr 15 (2024). 5.
https://aisel.aisnet.org/iris2024/5