探索患者参与人工智能支持的医疗保健:定性研究。

JMIR AI Pub Date : 2025-05-05 DOI:10.2196/50781
Laura Arbelaez Ossa, Michael Rost, Nathalie Bont, Giorgia Lorenzini, David Shaw, Bernice Simone Elger
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引用次数: 0

摘要

背景:将人工智能(AI)引入医疗保健领域引发了关于其潜在影响的讨论。患者作为关键的利益相关者,将站在与人工智能互动和受其影响的最前沿。考虑到以患者为中心的医疗保健在伦理上的重要性,患者必须了解如何与人工智能互动。然而,将人工智能整合到临床实践中会带来潜在的挑战,特别是在共同决策和确保患者积极参与他们的护理方面。人工智能支持的干预措施是增强还是破坏患者的参与,在很大程度上取决于如何设想这些技术并将其纳入实践。目的:本研究探讨患者和医疗人工智能专业人员如何看待患者的角色以及影响人工智能支持护理参与的因素。方法:对21名患者和21名不同学科背景的医学人工智能专业人员进行定性半结构化访谈。数据分析采用反身性主题分析。我们确定了3个主题来描述患者和专业人员如何描述影响人工智能支持护理参与的因素。结果:第一个主题探讨了人工智能作为医疗保健变革中不可避免的潜在有害力量的愿景。第二个主题强调了患者如何看待自己能力的限制,这些限制可能会阻止他们有意义地参与人工智能支持的护理。第三个主题描述了患者的适应性反应,例如依赖专家或做出价值判断,从而接受或拒绝人工智能支持的护理。结论:外部和内部的先入之见都会影响患者和医疗人工智能专业人员对患者参与的看法。患者往往将人工智能的复杂性和必然性内在化,认为这是他们积极参与的障碍,导致他们觉得自己对人工智能的发展几乎没有影响。虽然一些患者依赖医生或将人工智能视为可以接受或拒绝的东西,但这些策略可能会使他们处于被动接受护理的不利地位。如果没有对他们的权利和可能性进行充分的教育,这些反应可能不足以将患者置于其护理的中心。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Exploring Patient Participation in AI-Supported Health Care: Qualitative Study.

Background: The introduction of artificial intelligence (AI) into health care has sparked discussions about its potential impact. Patients, as key stakeholders, will be at the forefront of interacting with and being impacted by AI. Given the ethical importance of patient-centered health care, patients must navigate how they engage with AI. However, integrating AI into clinical practice brings potential challenges, particularly in shared decision-making and ensuring patients remain active participants in their care. Whether AI-supported interventions empower or undermine patient participation depends largely on how these technologies are envisioned and integrated into practice.

Objective: This study explores how patients and medical AI professionals perceive the patient's role and the factors shaping participation in AI-supported care.

Methods: We conducted qualitative semistructured interviews with 21 patients and 21 medical AI professionals from different disciplinary backgrounds. Data were analyzed using reflexive thematic analysis. We identified 3 themes to describe how patients and professionals describe factors that shape participation in AI-supported care.

Results: The first theme explored the vision of AI as an unavoidable and potentially harmful force of change in health care. The second theme highlights how patients perceive limitations in their capabilities that may prevent them from meaningfully participating in AI-supported care. The third theme describes patients' adaptive responses, such as relying on experts or making value judgments leading to acceptance or rejection of AI-supported care.

Conclusions: Both external and internal preconceptions influence how patients and medical AI professionals perceive patient participation. Patients often internalize AI's complexity and inevitability as an obstacle to their active participation, leading them to feel they have little influence over its development. While some patients rely on doctors or see AI as something to accept or reject, these strategies risk placing them in a disempowering role as passive recipients of care. Without adequate education on their rights and possibilities, these responses may not be enough to position patients at the center of their care.

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