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Professional implications of introducing artificial intelligence in healthcare: An evaluation using radiation medicine as a testing ground

Abstract:
Aim This study will evaluate radiation medicine professionals’ perceptions of clinical and professional risks and benefits, and the evolving roles and responsibilities with artificial intelligence (AI). Methods Radiation oncologists (ROs), medical physicists (MPs), treatment planners (TP-RTTs) and treatment delivery radiation therapists (TD-RTTs) at a cancer centre in preliminary stages of implementing an AI-enabled treatment planning system were invited to participate in uniprofessional focus groups. Semi-structured scripts addressed the perceptions of AI, including thoughts regarding changing roles and competencies. Sessions were audiorecorded, transcribed and coded thematically through consensus-building. Results A total of 24 participants (four ROs, five MPs, seven TP-RTTs and eight TD-RTTs) were engaged in four focus groups of 58 minutes average duration (range 54–61 minutes). Emergent themes addressed AI’s impact on quality of care, changing professional tasks and changing competency requirements. Time-consuming repetitive tasks such as delineating targets, generating treatment plans and quality assurance were thought conducive to offloading to AI. Outcomes data and adaptive planning would be incorporated into clinical decision-making. Changing workload would necessitate changing skills, prioritising plan evaluation over generation and increasing interprofessional communication. All groups discussed AI reducing the need for TP-RTTs, though displacement was thought more likely than replacement. Conclusions It is important to consider how professionals perceive AI to be proactive in informing change, as gains in quality and efficiency will require new workflows, skills and education.
Author Listing: Caitlin Gillan;Caitlin Gillan;Emily Milne;Nicole Harnett;Nicole Harnett;Thomas G. Purdie;Thomas G. Purdie;David A. Jaffray;Brian Hodges;Brian Hodges
Volume: 18
Pages: 5-9
DOI: 10.1017/S1460396918000468
Language: English
Journal: Journal of Radiotherapy in Practice

Journal of Radiotherapy in Practice

J RADIOTHER PRACT

影响因子:0.5
是否综述期刊:否
是否OA:否
是否预警:不在预警名单内
发行时间:-
ISSN:1460-3969
发刊频率:-
收录数据库:ESCI/Scopus收录
出版国家/地区:-
出版社:Cambridge University Press

期刊介绍

年发文量 28
国人发稿量 -
国人发文占比 0%
自引率 0.0%
平均录取率 -
平均审稿周期 -
版面费 US$3255
偏重研究方向 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING-
期刊官网 -
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研究类文章占比 OA被引用占比 撤稿占比 出版后修正文章占比
100.00% 20.38% - -

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预警情况

时间 预警情况
2025年03月发布的2025版 不在预警名单中
2024年02月发布的2024版 不在预警名单中
2023年01月发布的2023版 不在预警名单中
2021年12月发布的2021版 不在预警名单中
2020年12月发布的2020版 不在预警名单中

JCR分区 WOS分区等级:Q4区

版本 按学科 分区
WOS期刊SCI分区
(2021-2022年最新版)
RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Q4

中科院分区

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