Department of Bioethics, Sinai Health, Toronto, ON M5G 1X5, Canada.
Joint Centre for Bioethics, Dalla Lana School of Public Health, University of Toronto, Toronto, ON M5T 1P8, Canada.
Curr Oncol. 2023 Feb 9;30(2):2178-2186. doi: 10.3390/curroncol30020168.
Clinical applications of artificial intelligence (AI) in healthcare, including in the field of oncology, have the potential to advance diagnosis and treatment. The literature suggests that patient values should be considered in decision making when using AI in clinical care; however, there is a lack of practical guidance for clinicians on how to approach these conversations and incorporate patient values into clinical decision making. We provide a practical, values-based guide for clinicians to assist in critical reflection and the incorporation of patient values into shared decision making when deciding to use AI in clinical care. Values that are relevant to patients, identified in the literature, include trust, privacy and confidentiality, non-maleficence, safety, accountability, beneficence, autonomy, transparency, compassion, equity, justice, and fairness. The guide offers questions for clinicians to consider when adopting the potential use of AI in their practice; explores illness understanding between the patient and clinician; encourages open dialogue of patient values; reviews all clinically appropriate options; and makes a shared decision of what option best meets the patient's values. The guide can be used for diverse clinical applications of AI.
人工智能(AI)在医疗保健中的临床应用,包括肿瘤学领域,有潜力推进诊断和治疗。文献表明,在临床护理中使用 AI 时,应考虑患者的价值观;然而,对于临床医生来说,缺乏如何进行这些对话并将患者价值观纳入临床决策制定的实际指导。我们为临床医生提供了一个实用的、基于价值观的指南,以帮助他们在决定将 AI 用于临床护理时进行批判性反思,并将患者价值观纳入共同决策制定。文献中确定的与患者相关的价值观包括信任、隐私和保密性、非伤害、安全、问责制、善行、自主性、透明度、同情、公平、正义和公平。该指南为临床医生提供了在实践中采用 AI 潜在用途时需要考虑的问题;探讨了患者和临床医生之间的疾病理解;鼓励开放对话患者价值观;审查所有临床适当的选择;并做出符合患者价值观的最佳选择的共同决策。该指南可用于人工智能的各种临床应用。