This week at HIMSS24 saw the debut of the Trustworthy & Responsible AI Network, or TRAIN, a network that aims to operationalize responsible AI principles to improve the quality, safety and trustworthiness of AI in healthcare.

本周在HIMSS24上，值得信赖和负责任的人工智能网络（TRAIN）首次亮相，该网络旨在实施负责任的人工智能原则，以提高人工智能在医疗保健中的质量、安全性和可信度。

A new consortium of healthcare organizations is behind TRAIN. Members include AdventHealth, Advocate Health, Boston Children's Hospital, Cleveland Clinic, Duke Health, Johns Hopkins Medicine, Mass General Brigham, MedStar Health, Mercy, Mount Sinai Health System, Northwestern Medicine, Providence, Sharp HealthCare, University of Texas Southwestern Medical Center, University of Wisconsin School of Medicine and Public Health, Vanderbilt University Medical Center, and Microsoft as the technology-enabling partner..

一个由医疗保健组织组成的新财团正在紧随其后。成员包括AdventHealth、Advocate Health、波士顿儿童医院、克利夫兰诊所、杜克健康、约翰·霍普金斯医学、马萨诸塞州布莱根将军、MedStar Health、Mercy、西奈山健康系统、西北医学、普罗维登斯、夏普健康、德克萨斯大学西南医学中心、威斯康星大学医学与公共卫生学院、，范德比尔特大学医学中心和微软作为技术支持合作伙伴。

The network is collaborating with OCHIN, which serves a national network of community health organizations with expertise, clinical insights and tailored technologies, and TruBridge, a conduit to community healthcare, to help ensure every organization, regardless of resources, has access to TRAIN's benefits..

该网络正在与OCHIN合作，OCHIN是一个拥有专业知识、临床见识和量身定制技术的社区卫生组织全国网络，TruBridge是一个通往社区卫生保健的渠道，有助于确保每个组织，无论资源如何，都能获得TRAIN的好处。

New AI systems have the potential to transform healthcare by enabling better care outcomes, improving efficiency and productivity, and reducing costs. From helping screen patients, to developing new treatments and drugs, to automating administrative tasks and enhancing public health, AI is creating new possibilities and opportunities for healthcare organizations and practitioners..

新的人工智能系统有可能通过实现更好的护理结果，提高效率和生产力以及降低成本来改变医疗保健。从帮助筛查患者，到开发新的治疗方法和药物，再到自动化管理任务和改善公共卫生，人工智能正在为医疗保健组织和从业者创造新的可能性和机会。

As new uses of AI in healthcare continue to unfold and grow, the need for rigorous development and evaluation standards becomes even more important to ensure effective and responsible applications of AI, TRAIN said.

TRAIN说，随着人工智能在医疗保健领域的新用途不断拓展和增长，对严格的开发和评估标准的需求变得更加重要，以确保人工智能的有效和负责任的应用。

Through collaboration, TRAIN members potentially can help improve the quality and trustworthiness of AI by sharing best practices related to the use of AI in healthcare settings, enabling registration of AI used for clinical care or clinical operations through a secure online portal, providing tools to enable measurement of outcomes associated with the implementation of AI, and facilitating the development of a federated national AI outcomes registry for organizations to share among themselves.

通过合作，培训成员可以通过共享与在医疗保健环境中使用人工智能相关的最佳实践，通过安全的在线门户网站注册用于临床护理或临床操作的人工智能，提供工具来衡量与人工智能实施相关的结果，从而有可能帮助提高人工智能的质量和可信度，并促进建立一个联邦国家人工智能成果登记册，供各组织相互分享。

The registry will capture real-world outcomes related to efficacy, safety and optimization of AI algorithms..

注册表将捕获与AI算法的有效性，安全性和优化相关的真实结果。

'Even the best healthcare today still suffers from many challenges that AI-driven solutions can substantially improve,' said Dr. Peter J. Embí, professor and chair of the department of biomedical informatics and senior vice president for research and innovation at Vanderbilt University Medical Center..

“即使是今天最好的医疗保健机构仍然面临着许多挑战，人工智能驱动的解决方案可以大大改善这些挑战，”Dr。Peter J.Embí，范德比尔特大学医学中心生物医学信息学系教授兼系主任兼研究与创新高级副总裁。

'However, just as we wouldn't think of treating patients with a new drug or device without ensuring and monitoring their efficacy and safety, we must test and monitor AI-derived models and algorithms before and after they are deployed across diverse healthcare settings and populations, to help minimize and prevent unintended harms,' he continued.

“然而，正如我们不想在不确保和监测其疗效和安全性的情况下用新药或设备治疗患者一样，我们必须在人工智能衍生的模型和算法部署到不同的医疗环境和人群之前和之后进行测试和监测，以帮助最大程度地减少和防止意外伤害，”他继续说道。

'It is imperative that we work together and share tools and capabilities that enable systematic AI evaluation, surveillance and algorithmvigilance for the safe, effective and equitable use of AI in healthcare,' he added. 'TRAIN is a major step toward that goal.'

他补充说：“我们必须共同努力，共享工具和能力，以实现系统的人工智能评估、监视和算法警戒，从而在医疗保健中安全、有效和公平地使用人工智能。”训练是朝着这个目标迈出的重要一步。”

When it comes to AI's tremendous capabilities, there is no doubt the technology has the potential to transform healthcare, said Dr. David Rhew, global chief medical officer and vice president of healthcare at Microsoft.

说到人工智能的巨大功能，毫无疑问，这项技术有潜力改变医疗保健。DavidRhew，微软全球首席医疗官兼医疗保健副总裁。

'However, the processes for implementing the technology responsibly are just as vital,' he concluded. 'By working together, TRAIN members aim to establish best practices for operationalizing responsible AI, helping improve patient outcomes and safety while fostering trust in healthcare AI.'

“然而，负责任地实施这项技术的过程同样至关重要，”他总结道。“通过合作，培训成员旨在建立实施负责任人工智能的最佳实践，帮助改善患者的预后和安全，同时培养对医疗保健人工智能的信任。”