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FACTORS AFFECTING THE ADOPTION OF ARTIFICIAL INTELLIGENCE IN HEALTHCARE

机译:影响医疗保健人工智能采用的因素

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摘要

This paper investigates how clinicians perceive the usefulness and the ease of use of Artificial Intelligence (AI) in healthcare. The paper aims to understand whether AI solutions are perceived to have a positive impact on patient care and the clinician' work, and which factors affects the adoption of AI in healthcare. The paper draws upon key concepts of TAM (Technology Acceptance Model), adopting an exploratory approach. Semi-structured interviews with 22 clinicians from the NHS (the National Health System, in the United Kingdom) reveal that they perceive the usefulness of AI for healthcare (better efficiency, healthcare quality, and diagnostic accuracy). However, respondents point out factors which affect the way they perceive the ease of use of AI, such as the difficulty to integrate the technology within healthcare systems (low compatibility) and to understand the technology (high complexity), concerns with ethical issues, and the need to have intensive training on digital skills.
机译:本文调查了临床医生如何在医疗保健中察觉的有用性和使用人工智能(AI)的易用性。 本文旨在了解AI解决方案是否被认为对患者护理和临床医生的工作产生积极影响,以及哪些因素影响了医疗保健的AI。 本文借鉴了TAM的关键概念(技术验收模型),采用探索性方法。 半结构化访谈来自NHS的22名临床医生(在英国国家卫生系统)揭示了他们对医疗保健(更好的效率,医疗质量和诊断准确性)感知AI的有用性。 然而,受访者指出了影响他们感知AI的易用性方式的因素,例如将技术纳入医疗保健系统(低兼容性)并理解技术(高复杂性),以及与道德问题的担忧 需要对数字技能进行密集培训。

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