Artificial intelligence in the health sector

: understanding the determinants of adoption and intention to recommend the technology

Abstract

Over the last years the integration of Artificial Intelligence (AI) in various industries has witnessed a significant impulse, leading to transformative changes in traditional business, practices, and processes. With an enormous potential to transform patient care, maximize operational efficiencies, and improve medical results, healthcare has emerged as a leading industry in the implementation of AI-driven technology. The increasing complexity of healthcare demands, coupled with advancements in AI and computational capabilities, has induced considerable interest in exploring the adoption and acceptance of AI within healthcare settings. This work contributes to this evolving exciting discourse by combining two well-known theories, Unified Theory of Acceptance and Use of Technology (UTAUT) and the Health Belief Model (HBM), with the Intention to Recommend the technology construct. This innovative research model was tested using structured equation modelling (SEM) with data mainly from a European country, providing useful new insights of the determinants of AI adoption in healthcare. Key findings from the study reveal that performance expectancy, social influence, and facilitating conditions significantly influence individuals' intentions to adopt AI technologies in healthcare, highlighting the importance of considering these factors for successful implementations in this sector. The study's originality and value lie in its comprehensive investigation into AI adoption dynamics, offering valuable insights for researchers and practitioners.

Date of Award	12 Jul 2024
Original language	English
Awarding Institution	Universidade Católica Portuguesa
Supervisor	Gonçalo da Costa Aleixo Monteiro Melhorado Baptista (Supervisor)