儿科学4.0:最新工业革命对儿科学的变革性影响

IF 1.6 3区 哲学 Q2 ETHICS
Derşan Onur, Çağla Özbakır
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引用次数: 0

摘要

工业4.0代表了工业发展的最新阶段,其特点是网络物理系统、物联网、大数据分析、人工智能、先进机器人和云计算的无缝集成,实现了物理、数字和生物领域融合的智能、自适应和互联过程。与此同时,通过引入医疗设备和数字化记录,医疗保健已经从传统的以医生为中心的医疗保健1.0模型发展到医疗保健4.0,后者利用工业4.0技术创建个性化的、数据驱动的和以患者为中心的系统。在此背景下,我们在此介绍儿科4.0作为一种新的范式,将这些创新适应儿童独特的发育,生理和伦理考虑,旨在提高儿科人群的诊断准确性,治疗个性化和持续监测。关键应用包括人工智能驱动的诊断和预测分析、支持物联网的远程监控、大数据驱动的流行病学洞察、手术和康复中的机器人辅助,以及针对特定患者的设备和药物的3D打印。然而,实现儿科学4.0需要解决重大挑战——数据隐私和安全、算法偏见、互操作性和标准化、公平获取、监管一致性、同意的伦理复杂性以及长期的技术暴露。未来的研究应侧重于可解释的人工智能、儿科专用设备设计、稳健的数据治理框架、动态的伦理和法律指南、跨学科合作以及劳动力培训,以确保这些变革性技术转化为更安全、更有效和更公平的儿童医疗保健。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Pediatrics 4.0: the Transformative Impacts of the Latest Industrial Revolution on Pediatrics.

Industry 4.0 represents the latest phase of industrial evolution, characterized by the seamless integration of cyber-physical systems, the Internet of Things, big data analytics, artificial intelligence, advanced robotics, and cloud computing, enabling smart, adaptive, and interconnected processes where physical, digital, and biological realms converge. In parallel, healthcare has progressed from the traditional, physician-centered model of Healthcare 1.0 by introducing medical devices and digitized records to Healthcare 4.0, which leverages Industry 4.0 technologies to create personalized, data-driven, and patient-centric systems. In this context, we hereby introduce Pediatrics 4.0 as a new paradigm that adapts these innovations to children's unique developmental, physiological, and ethical considerations and aims to improve diagnostic precision, treatment personalization, and continuous monitoring in pediatric populations. Key applications include AI-driven diagnostic and predictive analytics, IoT-enabled remote monitoring, big data-powered epidemiological insights, robotic assistance in surgery and rehabilitation, and 3D printing for patient-specific devices and pharmaceuticals. However, realizing Pediatrics 4.0 requires addressing significant challenges-data privacy and security, algorithmic bias, interoperability and standardization, equitable access, regulatory alignment, the ethical complexities of consent, and long-term technology exposure. Future research should focus on explainable AI, pediatric-specific device design, robust data governance frameworks, dynamic ethical and legal guidelines, interdisciplinary collaboration, and workforce training to ensure these transformative technologies translate into safer, more effective, and more equitable child healthcare.

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来源期刊
CiteScore
4.20
自引率
0.00%
发文量
3
期刊介绍: Health Care Analysis is a journal that promotes dialogue and debate about conceptual and normative issues related to health and health care, including health systems, healthcare provision, health law, public policy and health, professional health practice, health services organization and decision-making, and health-related education at all levels of clinical medicine, public health and global health. Health Care Analysis seeks to support the conversation between philosophy and policy, in particular illustrating the importance of conceptual and normative analysis to health policy, practice and research. As such, papers accepted for publication are likely to analyse philosophical questions related to health, health care or health policy that focus on one or more of the following: aims or ends, theories, frameworks, concepts, principles, values or ideology. All styles of theoretical analysis are welcome providing that they illuminate conceptual or normative issues and encourage debate between those interested in health, philosophy and policy. Papers must be rigorous, but should strive for accessibility – with care being taken to ensure that their arguments and implications are plain to a broad academic and international audience. In addition to purely theoretical papers, papers grounded in empirical research or case-studies are very welcome so long as they explore the conceptual or normative implications of such work. Authors are encouraged, where possible, to have regard to the social contexts of the issues they are discussing, and all authors should ensure that they indicate the ‘real world’ implications of their work. Health Care Analysis publishes contributions from philosophers, lawyers, social scientists, healthcare educators, healthcare professionals and administrators, and other health-related academics and policy analysts.
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