Adoption of Artificial Intelligence in Rehabilitation: Perceptions, Knowledge, and Challenges Among Healthcare Providers.

IF 2.7 4区 医学 Q2 HEALTH CARE SCIENCES & SERVICES Healthcare Pub Date : 2025-02-07 DOI:10.3390/healthcare13040350
Monira I Aldhahi, Amal I Alorainy, Mohamed M Abuzaid, Awadia Gareeballah, Naifah F Alsubaie, Anwar S Alshamary, Zuhal Y Hamd
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Abstract

Background/objectives: The current literature reveals a gap in understanding how rehabilitation professionals, such as physical and occupational therapists, perceive and prepare to implement artificial intelligence (AI) in their practices. Therefore, we conducted a cross-sectional observational study to assess the perceptions, knowledge, and willingness of rehabilitation healthcare providers to implement AI in practice.

Methods: This study was conducted in Saudi Arabia, with data collected from 430 physical therapy professionals via an online SurveyMonkey questionnaire between January and March 2024. The survey assessed demographics, AI knowledge and skills, and perceived challenges. Data were analyzed using Statistical Package for the Social Science (SPSS 27) and DATAtab (version 2025), with frequencies, percentages, and nonparametric tests used to examine the relationships between the variables.

Results: The majority of respondents (80.9%) believed that AI would be integrated into physical therapy in future, with 78.6% seeing AI as significantly impacting their work. While 61.4% thought that AI would reduce workload and enhance productivity, only 30% expressed concerns about AI endangering their profession. A lack of formal AI training has commonly been reported, with social media platforms being respondents' primary source of AI knowledge. Despite these challenges, 85.1% expressed an eagerness to learn and use AI. Organizational preparedness was a significant barrier, with 45.6% of respondents reporting that their organizations lacked AI strategies. There were insignificant differences in the mean rank of AI perceptions or knowledge based on the gender, years of experience, and qualification degree of the respondents.

Conclusions: The results demonstrated a strong interest in AI implementation in physical therapy. The majority of respondents expressed confidence in AI's future utility and readiness to incorporate it into their practice. However, challenges, such as a lack of formal training and organizational preparedness, were identified. Overall, the findings highlight AI's potential to revolutionize physical therapy while underscoring the necessity to address training and readiness to fully realize this potential.

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人工智能在康复中的应用:医疗保健提供者的认知、知识和挑战。
背景/目的:目前的文献揭示了在理解康复专业人员,如物理和职业治疗师,如何感知和准备在他们的实践中实施人工智能(AI)方面的差距。因此,我们进行了一项横断面观察性研究,以评估康复医疗保健提供者在实践中实施人工智能的认知、知识和意愿。方法:本研究在沙特阿拉伯进行,通过2024年1月至3月的在线SurveyMonkey问卷调查收集了430名物理治疗专业人员的数据。该调查评估了人口统计、人工智能知识和技能以及感知到的挑战。使用社会科学统计软件包(SPSS 27)和DATAtab(2025版)分析数据,使用频率、百分比和非参数检验来检查变量之间的关系。结果:大多数受访者(80.9%)认为AI将在未来整合到物理治疗中,78.6%的受访者认为AI对他们的工作产生了重大影响。61.4%的人认为人工智能可以减少工作量并提高生产力,但只有30%的人担心人工智能会危及他们的职业。普遍报道缺乏正式的人工智能培训,社交媒体平台是受访者获取人工智能知识的主要来源。尽管面临这些挑战,85.1%的人表示渴望学习和使用人工智能。组织准备是一个重大障碍,45.6%的受访者表示他们的组织缺乏人工智能战略。受访者的性别、工作年限和学历对人工智能认知或知识的平均排名差异不显著。结论:研究结果显示了人工智能在物理治疗中的应用。大多数受访者对人工智能的未来效用充满信心,并准备将其纳入自己的实践。但是,指出了缺乏正式培训和组织准备等挑战。总的来说,研究结果强调了人工智能在彻底改变物理治疗方面的潜力,同时强调了充分实现这一潜力的培训和准备的必要性。
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来源期刊
Healthcare
Healthcare Medicine-Health Policy
CiteScore
3.50
自引率
7.10%
发文量
0
审稿时长
47 days
期刊介绍: Healthcare (ISSN 2227-9032) is an international, peer-reviewed, open access journal (free for readers), which publishes original theoretical and empirical work in the interdisciplinary area of all aspects of medicine and health care research. Healthcare publishes Original Research Articles, Reviews, Case Reports, Research Notes and Short Communications. We encourage researchers to publish their experimental and theoretical results in as much detail as possible. For theoretical papers, full details of proofs must be provided so that the results can be checked; for experimental papers, full experimental details must be provided so that the results can be reproduced. Additionally, electronic files or software regarding the full details of the calculations, experimental procedure, etc., can be deposited along with the publication as “Supplementary Material”.
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