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“我担心自己多年的培训和专业知识会被机器贬值”:对人工智能取代医学专业人员的担忧。

"I Wonder if my Years of Training and Expertise Will be Devalued by Machines": Concerns About the Replacement of Medical Professionals by Artificial Intelligence.

作者信息

Rony Moustaq Karim Khan, Parvin Mst Rina, Wahiduzzaman Md, Debnath Mitun, Bala Shuvashish Das, Kayesh Ibne

机构信息

Master of Public Health, Bangladesh Open University, Gazipur, Bangladesh.

Institute of Social Welfare and Research, University of Dhaka, Dhaka, Bangladesh.

出版信息

SAGE Open Nurs. 2024 Apr 7;10:23779608241245220. doi: 10.1177/23779608241245220. eCollection 2024 Jan-Dec.

Abstract

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.

摘要

背景

人工智能(AI)迅速融入医疗保健领域,引发了医疗专业人员对AI技术可能取代人类医疗专业人员的担忧。然而,医护人员对自身被AI取代的担忧和看法尚不清楚。

目的

这项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。

方法

采用描述性和探索性研究设计,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作为理论框架。从各种医疗环境中有目的地抽取参与者,他们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,随后进行主题分析。

结果

分析揭示了反映医护人员担忧的七个关键主题,包括工作保障和经济担忧;对AI的信任和接受;伦理和道德困境;患者护理质量;劳动力角色重新定义和培训;医患关系;医疗政策和监管。

结论

本研究强调了医护人员对AI在医疗保健领域日益重要的作用的多方面担忧。解决工作保障问题、增强信任、应对伦理困境以及重新定义劳动力角色是将AI成功融入医疗保健领域时需要考虑的关键因素。必须制定医疗政策和监管措施来指导这一转变,同时保持患者护理质量并维护医患关系。研究结果为政策制定者和医疗机构在应对医护人员担忧的同时,应对AI在医疗保健领域不断变化的形势提供了见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9f3d/11003342/417806612096/10.1177_23779608241245220-fig1.jpg

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