Pinto Andrea, Santos Catarina, Aguiar Rita, Oliveira Sara, Cunha Daniela
Nursing, Hospital Dr. Nélio Mendonça, Funchal, PRT.
Medical-Surgical Nursing, Escola Superior de Saúde Norte da Cruz Vermelha Portuguesa, Oliveira de Azeméis, PRT.
Cureus. 2025 Mar 13;17(3):e80524. doi: 10.7759/cureus.80524. eCollection 2025 Mar.
Technological advances, such as "machine learning" and "natural language processing," have enabled systems and machines to perform complex tasks that previously required human intervention. Artificial intelligence (AI) has emerged as one of the most significant advancements in the healthcare sector, playing a key role in the evolution of palliative care (PC). Our main objective was to explore how AI can improve the quality of communication in decision-making in PC. A narrative review was conducted to obtain an interpretative synthesis and a comprehensive perspective on the subject under analysis. The research was carried out using the terms "Palliative Care," "Communication," "Artificial Intelligence," "Forecasting" and "Decision Making." Nine articles were included in the study, and after data analysis under Jean Watson's Theory of Transpersonal Caring, four categories were defined that respond to the proposed objective: person-centred care and authentic relationships, decision support based on individualised knowledge, facilitation of transparent communication and advanced care planning, promotion of a healing environment and emotional well-being and education of health professionals and critical reflection. As a result, we identified the need for a multifaceted approach, involving the continuous validation of models, proper training of healthcare professionals and engagement of individuals in decision-making processes. This ensures that decisions are grounded in robust evidence and ethical principles, making sure that AI acts as a true ally rather than a source of additional risks. In conclusion, AI can effectively be a valuable support tool in decision-making, but it is crucial that professionals remain aware of its limitations and can apply critical judgment in each situation.
诸如“机器学习”和“自然语言处理”等技术进步，使系统和机器能够执行以前需要人工干预的复杂任务。人工智能（AI）已成为医疗保健领域最重要的进步之一，在姑息治疗（PC）的发展中发挥着关键作用。我们的主要目标是探索人工智能如何提高姑息治疗决策中的沟通质量。进行了一项叙述性综述，以获得对所分析主题的解释性综合和全面观点。研究使用了“姑息治疗”“沟通”“人工智能”“预测”和“决策”等术语。该研究纳入了九篇文章，在根据琼·沃森的超个人关怀理论进行数据分析后，定义了四类以回应提出的目标：以患者为中心的护理和真实关系、基于个性化知识的决策支持、促进透明沟通和高级护理计划、促进康复环境和情绪健康以及对卫生专业人员的教育和批判性反思。结果，我们确定需要一种多方面的方法，包括对模型的持续验证、对医疗保健专业人员的适当培训以及让个人参与决策过程。这确保决策基于有力的证据和道德原则，确保人工智能成为真正的盟友而不是额外风险的来源。总之，人工智能可以有效地成为决策中的宝贵支持工具，但至关重要的是，专业人员要意识到其局限性，并能在每种情况下运用批判性判断。
