"我不知道我多年的培训和专业知识是否会被机器贬值":对人工智能取代医疗专业人员的担忧。

IF 2 Q2 NURSING SAGE Open Nursing Pub Date : 2024-04-07 eCollection Date: 2024-01-01 DOI:10.1177/23779608241245220
Moustaq Karim Khan Rony, Mst Rina Parvin, Md Wahiduzzaman, Mitun Debnath, Shuvashish Das Bala, Ibne Kayesh
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引用次数: 0

摘要

背景:人工智能(AI)迅速融入医疗保健领域,引发了医疗保健专业人员对人工智能技术可能取代人类医疗专业人员的担忧。然而,医护人员对人工智能可能取代他们的担忧和看法却不得而知:本定性研究旨在调查医护人员对人工智能取代医疗专业人员的担忧:以技术接受模型(TAM)、技术威胁规避理论和社会技术系统理论为理论框架,采用描述性和探索性研究设计。研究人员有目的地从不同的医疗机构中抽取样本,代表了不同的角色和背景。通过个人访谈和焦点小组讨论收集数据,然后进行专题分析:分析揭示了七个关键主题,反映了医疗工作者的担忧,包括工作保障和经济担忧;对人工智能的信任和接受程度;伦理道德困境;患者护理质量;劳动力角色的重新定义和培训;患者与提供者的关系;医疗政策和法规:这项研究强调了医疗工作者对人工智能在医疗保健领域发挥越来越重要作用的多方面担忧。解决工作保障、促进信任、解决道德困境和重新定义员工角色是将人工智能成功融入医疗保健的关键因素。必须制定医疗保健政策和法规来引导这一转变,同时保持患者护理的质量并维护患者与医疗服务提供者之间的关系。研究结果为政策制定者和医疗保健机构提供了见解,以便在解决医疗保健专业人员所关心的问题的同时,引导人工智能在医疗保健领域的不断发展。
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"I Wonder if my Years of Training and Expertise Will be Devalued by Machines": Concerns About the Replacement of Medical Professionals by Artificial Intelligence.

Background: The rapid integration of artificial intelligence (AI) into healthcare has raised concerns among healthcare professionals about the potential displacement of human medical professionals by AI technologies. However, the apprehensions and perspectives of healthcare workers regarding the potential substitution of them with AI are unknown.

Objective: This qualitative research aimed to investigate healthcare workers' concerns about artificial intelligence replacing medical professionals.

Methods: A descriptive and exploratory research design was employed, drawing upon the Technology Acceptance Model (TAM), Technology Threat Avoidance Theory, and Sociotechnical Systems Theory as theoretical frameworks. Participants were purposively sampled from various healthcare settings, representing a diverse range of roles and backgrounds. Data were collected through individual interviews and focus group discussions, followed by thematic analysis.

Results: The analysis revealed seven key themes reflecting healthcare workers' concerns, including job security and economic concerns; trust and acceptance of AI; ethical and moral dilemmas; quality of patient care; workforce role redefinition and training; patient-provider relationships; healthcare policy and regulation.

Conclusions: This research underscores the multifaceted concerns of healthcare workers regarding the increasing role of AI in healthcare. Addressing job security, fostering trust, addressing ethical dilemmas, and redefining workforce roles are crucial factors to consider in the successful integration of AI into healthcare. Healthcare policy and regulation must be developed to guide this transformation while maintaining the quality of patient care and preserving patient-provider relationships. The study findings offer insights for policymakers and healthcare institutions to navigate the evolving landscape of AI in healthcare while addressing the concerns of healthcare professionals.

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来源期刊
CiteScore
2.10
自引率
5.00%
发文量
106
审稿时长
15 weeks
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