Southern Cross University, Bilinga, Queensland, Australia.
NSW Health, Lismore, New South Wales, Australia.
Aust J Rural Health. 2023 Dec;31(6):1203-1213. doi: 10.1111/ajr.13045. Epub 2023 Oct 5.
A greater understanding of Australian healthcare professionals' perceptions of artificial intelligence (AI) is needed to identify the challenges ahead as this new technology finds its way into healthcare delivery.
The aim of this study was to identify healthcare professionals' perceptions of AI, their understanding of this technology, their education needs and barriers they perceived to its implementation.
Healthcare professionals in eight local health districts in New South Wales Australia were surveyed using the Shinners Artificial Intelligence Perception (SHAIP) tool.
The study surveyed 176 participants from regional (59.5%), rural (36.4%) and metropolitan (4.0%) healthcare districts in Australia. Only 27% of all participants stated they are currently using AI in the delivery of care. The study found that Age, Discipline, Use of AI and Desire for Education had a significant effect on perceptions of AI, and that overall healthcare professionals believe AI will impact their role and they do not feel prepared for its use. The study showed that understanding of AI is varied and workforce knowledge is seen as the greatest barrier to implementation. More than 75% of healthcare professionals desire education about AI, its application and ethical implications to the delivery of care.
The development of education is needed urgently to prepare healthcare professionals for the implementation of AI.
为了了解澳大利亚医疗保健专业人员对人工智能（AI）的看法，需要更深入地了解这一技术，以确定在这项新技术进入医疗保健领域时所面临的挑战。
本研究旨在确定医疗保健专业人员对 AI 的看法、他们对这项技术的理解、他们的教育需求以及他们认为实施 AI 的障碍。
在澳大利亚新南威尔士州的八个地方卫生区，使用 Shinners 人工智能感知（SHAIP）工具对医疗保健专业人员进行了调查。
该研究调查了来自澳大利亚地区（59.5%）、农村（36.4%）和大都市（4.0%）医疗区的 176 名参与者。只有 27%的参与者表示他们目前在医疗服务中使用 AI。研究发现，年龄、学科、AI 的使用和教育意愿对 AI 的认知有显著影响，总体而言，医疗保健专业人员认为 AI 将影响他们的角色，并且他们对 AI 的使用没有做好准备。研究表明，对 AI 的理解各不相同，劳动力知识被视为实施的最大障碍。超过 75%的医疗保健专业人员希望接受关于 AI 及其在医疗保健中的应用和伦理影响的教育。
需要紧急开展教育，使医疗保健专业人员为 AI 的实施做好准备。
