医疗保健专业人员对人工智能在医疗保健中应用的看法：一项系统综述。
Health professionals' perspectives on the use of Artificial Intelligence in healthcare: A systematic review.
作者信息
Sahoo Rakesh Kumar, Sahoo Krushna Chandra, Negi Sapna, Baliarsingh Santos Kumar, Panda Bhuputra, Pati Sanghamitra
机构信息
KIIT School of Public Health, KIIT Deemed to be university, Bhubaneswar - 751024, India; ICMR-Regional Medical Research Centre, Bhubaneswar - 751023, India.
Health Technology Assessment in India, Department of Health Research, Ministry of Health & Family Welfare, New Delhi - 11000, India; ICMR-Regional Medical Research Centre, Bhubaneswar - 751023, India.
出版信息
Patient Educ Couns. 2025 May;134:108680. doi: 10.1016/j.pec.2025.108680. Epub 2025 Jan 27.
INTRODUCTION
Artificial Intelligence (AI) is fast emerging as a crucial tool for improving patient care and treatment outcomes; however, concerns persist among health professionals about potential compromises in quality care and loss of jobs. The availability of systematic evidence on health professionals' perspectives on AI in healthcare is limited.
OBJECTIVE
This systematic review aims to document the perceived advantages and disadvantages associated with AI applications in healthcare.
METHOD
We conducted a comprehensive search across databases - Embase, PubMed/Medline, IEEE, and Epistemonikos up to November 2023, using 'Artificial Intelligence' AND 'health professionals' as key domains. We searched for studies that describe the perceptions of healthcare professionals towards AI in healthcare.
FINDINGS
We identified 3931 records. After screening, 25 articles were selected, and 11 were included in the final review. The studies highlight the benefits of AI in healthcare, such as consultation summaries, data management, patient triaging, and referrals, but also raise concerns about job loss, over-reliance, legal implications, and data privacy concerns.
CONCLUSION
AI enhances care delivery efficiency, and concerns arise due to knowledge and experience gaps. Therefore, healthcare workforce education and skill development are crucial for AI adoption, implementation, and future research.
引言
人工智能（AI）正迅速成为改善患者护理和治疗效果的关键工具；然而，卫生专业人员对优质护理可能受到的影响以及失业问题仍存在担忧。关于卫生专业人员对医疗保健领域人工智能看法的系统性证据有限。
目的
本系统综述旨在记录与人工智能在医疗保健领域应用相关的感知优势和劣势。
方法
我们在截至2023年11月的数据库（Embase、PubMed/Medline、IEEE和Epistemonikos）中进行了全面搜索，使用“人工智能”和“卫生专业人员”作为关键领域。我们搜索了描述医疗保健专业人员对医疗保健领域人工智能看法的研究。
结果
我们识别出3931条记录。经过筛选，选择了25篇文章，其中11篇纳入最终综述。这些研究强调了人工智能在医疗保健领域的益处，如会诊总结、数据管理、患者分诊和转诊，但也引发了对失业、过度依赖、法律影响和数据隐私问题的担忧。
结论
人工智能提高了护理提供效率，由于知识和经验差距而产生了担忧。因此，医疗保健劳动力的教育和技能发展对于人工智能的采用、实施及未来研究至关重要。
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