Exploring the Potential of Chatbots in Critical Care Nephrology.

Supawadee Suppadungsuk, Charat Thongprayoon, Jing Miao, Pajaree Krisanapan, Fawad Qureshi, Kianoush Kashani, Wisit Cheungpasitporn
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引用次数: 1

Abstract

The exponential growth of artificial intelligence (AI) has allowed for its integration into multiple sectors, including, notably, healthcare. Chatbots have emerged as a pivotal resource for improving patient outcomes and assisting healthcare practitioners through various AI-based technologies. In critical care, kidney-related conditions play a significant role in determining patient outcomes. This article examines the potential for integrating chatbots into the workflows of critical care nephrology to optimize patient care. We detail their specific applications in critical care nephrology, such as managing acute kidney injury, alert systems, and continuous renal replacement therapy (CRRT); facilitating discussions around palliative care; and bolstering collaboration within a multidisciplinary team. Chatbots have the potential to augment real-time data availability, evaluate renal health, identify potential risk factors, build predictive models, and monitor patient progress. Moreover, they provide a platform for enhancing communication and education for both patients and healthcare providers, paving the way for enriched knowledge and honed professional skills. However, it is vital to recognize the inherent challenges and limitations when using chatbots in this domain. Here, we provide an in-depth exploration of the concerns tied to chatbots' accuracy, dependability, data protection and security, transparency, potential algorithmic biases, and ethical implications in critical care nephrology. While human discernment and intervention are indispensable, especially in complex medical scenarios or intricate situations, the sustained advancements in AI signal that the integration of precision-engineered chatbot algorithms within critical care nephrology has considerable potential to elevate patient care and pivotal outcome metrics in the future.

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探索聊天机器人在重症监护肾病中的潜力。
人工智能(AI)的指数级增长使其能够融入多个行业,尤其是医疗保健。聊天机器人已成为改善患者预后和通过各种基于人工智能的技术帮助医疗从业者的关键资源。在重症监护中,肾脏相关疾病在决定患者预后方面发挥着重要作用。本文探讨了将聊天机器人集成到重症监护肾病学工作流程中以优化患者护理的潜力。我们详细介绍了它们在重症肾脏病中的具体应用,如管理急性肾损伤、警报系统和持续肾脏替代治疗(CRRT);促进有关姑息治疗的讨论;以及加强多学科团队内部的合作。聊天机器人有可能增加实时数据的可用性,评估肾脏健康,识别潜在的风险因素,建立预测模型,并监测患者的进展。此外,它们为患者和医疗保健提供者提供了一个加强沟通和教育的平台,为丰富知识和磨练专业技能铺平了道路。然而,在该领域使用聊天机器人时,认识到其固有的挑战和局限性至关重要。在这里,我们深入探讨了与聊天机器人的准确性、可靠性、数据保护和安全性、透明度、潜在的算法偏见以及重症监护肾病的伦理影响有关的问题。虽然人类的辨别力和干预是必不可少的,尤其是在复杂的医疗场景或复杂的情况下,但人工智能的持续进步表明,在重症监护肾病学中集成精密工程聊天机器人算法,在未来提升患者护理和关键结果指标方面具有相当大的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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