卫生专业人员在医疗保健中使用人工智能的观点:系统综述。

IF 3.1 2区 医学 Q2 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH Patient Education and Counseling Pub Date : 2025-05-01 Epub Date: 2025-01-27 DOI:10.1016/j.pec.2025.108680
Rakesh Kumar Sahoo , Krushna Chandra Sahoo , Sapna Negi , Santos Kumar Baliarsingh , Bhuputra Panda , Sanghamitra Pati
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引用次数: 0

摘要

导言:人工智能(AI)正迅速成为改善患者护理和治疗结果的关键工具;然而,卫生专业人员仍然担心可能会影响医疗质量和失去工作。关于卫生专业人员对医疗保健中人工智能的看法的系统证据是有限的。目的:本系统综述旨在记录人工智能在医疗保健领域应用的优势和劣势。方法:截至2023年11月,我们对Embase、PubMed/Medline、IEEE和Epistemonikos等数据库进行了全面搜索,以“人工智能”和“卫生专业人员”为关键域。我们搜索了描述医疗保健专业人员对医疗保健中人工智能的看法的研究。结果:我们确定了3931条记录。经筛选,共筛选出25篇文章,其中11篇纳入终审稿。这些研究强调了人工智能在医疗保健方面的好处,例如咨询摘要、数据管理、患者分诊和转诊,但也提出了对失业、过度依赖、法律影响和数据隐私问题的担忧。结论:人工智能提高了医疗服务效率,但由于知识和经验的差距,引起了人们的担忧。因此,医疗工作者的教育和技能发展对于人工智能的采用、实施和未来的研究至关重要。
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Health professionals' perspectives on the use of Artificial Intelligence in healthcare: A systematic review

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.
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来源期刊
Patient Education and Counseling
Patient Education and Counseling 医学-公共卫生、环境卫生与职业卫生
CiteScore
5.60
自引率
11.40%
发文量
384
审稿时长
46 days
期刊介绍: Patient Education and Counseling is an interdisciplinary, international journal for patient education and health promotion researchers, managers and clinicians. The journal seeks to explore and elucidate the educational, counseling and communication models in health care. Its aim is to provide a forum for fundamental as well as applied research, and to promote the study of organizational issues involved with the delivery of patient education, counseling, health promotion services and training models in improving communication between providers and patients.
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