As the healthcare industry continues to embrace digital innovation, artificial intelligence continues to play an increasingly pivotal role in helping to optimize supply chain operations.

随着医疗保健行业持续接纳数字创新，人工智能在帮助优化供应链运营方面继续发挥着日益关键的作用。

Supply chain leaders from five health systems connected with

五个卫生系统的供应链领导者相互联系

Becker's

贝克的

to answer the question:

回答问题：

How is your health system using AI to enhance supply chain efficiency and optimization?

您的医疗系统如何利用人工智能提高供应链的效率和优化？

James Francis. Chair of Supply Chain Management at Mayo Clinic (Rochester, Minn.):

詹姆斯·弗朗西斯。梅奥诊所（罗切斯特，明尼苏达州）供应链管理主席：

At Mayo Clinic, we are making foundational investments in AI to improve supply chain delivery and bring new value to the practice. By integrating AI and our digital supply chain ecosystem, the organization is solving a wide range of business challenges. We are leveraging various AI technologies, including gen AI, [autonomous mobile robots] and in-house developed machine-learning models.

在妙佑医疗国际 (Mayo Clinic)，我们正在对人工智能进行基础性投资，以改善供应链交付并为实践带来新的价值。通过整合人工智能和我们的数字供应链生态系统，该组织正在解决各种各样的业务挑战。我们正在利用各种人工智能技术，包括生成式人工智能、[自主移动机器人] 和内部开发的机器学习模型。

We're also exploring and establishing new AI-related partnerships. .

我们还在探索和建立新的人工智能相关合作伙伴关系。

Gen AI tools like Microsoft Copilot allow us to expedite daily functions, find quick answers and supplement software engineering. AMRs allow us to decrease physical burden on staff and quickly deploy delivery resources. We are additionally using internally built models and external software partnerships to solve some of our most complex challenges, including supply disruptions, expense predictions and predictive supply delivery..

像 Microsoft Copilot 这样的生成式 AI 工具可以帮助我们加快日常功能、快速找到答案并辅助软件工程。自主移动机器人（AMR）能够减轻员工的体力负担，并快速部署配送资源。此外，我们还通过内部构建的模型和外部软件合作伙伴关系来解决一些最复杂的挑战，包括供应链中断、费用预测以及预测性供应交付。

George Godfrey. Chief Supply Chain Officer at Baptist Health South Florida (Coral Gables):

乔治·戈弗雷。南佛罗里达浸信会健康中心（珊瑚阁）首席供应链官：

Baptist Health South Florida has been utilizing AI to further enhance supply chain efficiency and optimization in four key areas: demand management, payment management, back orders and contracts/sourcing. AI helps review and adjust [periodic automatic replenishment levels] based upon demand trends, ensuring proper inventory levels across thousands of storage locations and helping minimize the risk of stockouts or overstocking by forecasting inventory needs.

南佛罗里达浸信会健康中心（Baptist Health South Florida）一直在利用人工智能进一步提升供应链效率和优化，主要集中在四个关键领域：需求管理、支付管理、缺货订单以及合同/采购。人工智能通过需求趋势帮助审查和调整[定期自动补货水平]，确保在成千上万个存储地点保持适当的库存水平，并通过预测库存需求来帮助最小化缺货或过剩库存的风险。

For payment management, AI diagnoses the root cause of invoice match exceptions and automates the initiation of actions to resolve. This has reduced overpayments, resolution times and non-value-added tasks. AI also helps prioritize back orders by identifying those critical to patient care, such as items required for surgeries.

对于支付管理，人工智能诊断发票匹配异常的根本原因，并自动启动解决措施。这减少了多付款、解决问题的时间和非增值任务。人工智能还通过识别对患者护理至关重要的项目（如手术所需的物品）来帮助优先处理积压订单。

For these high-priority back orders, AI immediately alerts suppliers and internal teams to expedite shipments or find substitutes, reducing sourcing time and avoiding distractions caused by non-essential backorders..

对于这些高优先级的积压订单，AI会立即通知供应商和内部团队加快运输或寻找替代品，从而减少采购时间，并避免因非必要积压订单造成的干扰。

Most recently, the Baptist Health team has pursued a new use case for AI in the contracts and sourcing process by suggesting improved terms and conditions. This not only speeds up and standardizes contract management but also ensures that contracts consistently protect the organization from potential risks.

最近，Baptist Health 团队在合同和采购流程中追求了人工智能的新用例，通过建议改进的条款和条件。这不仅加快并规范了合同管理，还确保合同始终保护组织免受潜在风险的影响。

As we continue to explore AI’s capabilities, we foresee many additional use cases that will further enhance operations..

随着我们继续探索人工智能的能力，我们预见到了许多将进一步提升运营的额外使用案例。

Josh Grulke. System Director of Supply Chain Operations at Allina Health (Minneapolis):

约什·格鲁尔克（Josh Grulke），Allina Health（明尼阿波利斯）供应链运营系统总监：

AI is a function of when, not if. To that end, Allina Health is actively determining our internal AI approach for supply procurement and management as well as implementing many AI technologies across our supply chain. This includes using optical character recognition (OCR) for invoice processing and employing machine learning to help requestors identify the correct items to procure..

人工智能的问题不是“如果”，而是“何时”。为此，Allina Health正在积极制定我们内部的人工智能方法，用于供应链的采购和管理，同时在我们的供应链中实施多种人工智能技术。这包括使用光学字符识别（OCR）处理发票，并运用机器学习帮助请求者识别需要采购的正确物品。

Additionally, Allina is collaborating with expert suppliers to advance our AI and automation capabilities to support business continuity, contract optimization, sourcing and supplier selection, and creation, maintenance, and optimization of surgical procedure cards (cards that list supply needs within surgical areas)..

此外，Allina 正在与专业供应商合作，提升我们的人工智能和自动化能力，以支持业务连续性、合同优化、采购和供应商选择，以及手术程序卡片（列出手术区域内的供应需求的卡片）的创建、维护和优化。

Tom Harvieux. Senior Vice President and Chief Supply Chain Officer for BJC Health System (St. Louis):

汤姆·哈维尤。BJC卫生系统（圣路易斯）高级副总裁兼首席供应链官：

We are in the early stages of our AI journey but see great potential in this innovative technology. Supply chain is following our organization's overarching guidance and participating in AI oversight governance rather than independently assessing the myriad solutions that are currently in the market.

我们正处于人工智能旅程的早期阶段，但看到了这项创新技术的巨大潜力。供应链正在遵循我们组织的总体指导，并参与人工智能监管治理，而不是独立评估当前市场上的众多解决方案。

Our approach is to find a specific use case for AI and conduct pilots to prove a hypothesis on value. An example of this would be leveraging embedded AI in our data warehouse systems to run all contracts against our 'gold standard' templates and playbooks to identify any themes in deviation from these standards.

我们的方法是为人工智能找到一个具体的使用案例，并通过试点项目来验证关于价值的假设。例如，在我们的数据仓库系统中利用嵌入式人工智能，将所有合同与我们的“黄金标准”模板和手册进行比对，以识别出任何偏离这些标准的主题。

This information will help measure process compliance, team coaching and the need to adjust processes. Utilizing AI to reduce recurring manual tasks and improve adherence to business controls has tremendous promise.  .

这些信息将有助于衡量流程合规性、团队辅导以及调整流程的必要性。利用人工智能减少重复的手动任务并提高对业务控制的遵守程度具有巨大的潜力。

Doug Pytlinski. Senior Vice President of Supply Chain for AdventHealth (Altamonte Springs, Fla.):

道格·皮特林斯基。阿德文特健康（佛罗里达州阿尔塔蒙特斯普林斯）供应链高级副总裁：

AdventHealth is making significant strides to enhance its supply chain efficiency and optimization through the strategic implementation of an AI-powered platform. The work is focused around visibility and intelligence decision-making, leading to proactive action supported by AI. This advanced platform provides real-time visibility and transparency into the supply chain, creating a centralized operation supported by a cutting-edge, cloud-based infrastructure..

AdventHealth 正在通过战略性地实施一个由人工智能驱动的平台，在提升其供应链效率和优化方面取得显著进展。这项工作专注于可视化和智能化决策，从而实现由人工智能支持的积极行动。这个先进的平台提供供应链的实时可见性和透明度，创建了一个由尖端的、基于云的基础设施支持的集中化运营。

The focus of the program is to serve all our locations across the country by improving decision intelligence and enhancing service to providers and patients. Following a 'crawl-walk-run' approach for implementation, we will be able to bring AI into our work at a pace that allows for all to learn and maximize its capabilities.

该计划的重点是通过提高决策智能和加强对供应商及患者的服务，来为我国各地的全部地点提供服务。通过采用“爬行-行走-跑步”的实施方法，我们将能够以一种让所有人学习并最大化其能力的步伐，将人工智能引入我们的工作。

The program helps determine if facilities are receiving, putting away and delivering products in the most efficient manner, stocking the right products in the right quantities at the right time, and optimizing the placement of products within each facility and our Consolidated Service Center. This proactive approach allows AdventHealth to look further upstream in its supply chain, improving resiliency and accelerating decision-making.

该计划有助于确定设施是否以最有效的方式接收、存放和交付产品，在正确的时间以正确的数量储存正确的产品，并优化每个设施及我们的综合服务中心内产品的摆放位置。这种主动的方法使AdventHealth能够更深入地审视其供应链上游，提高弹性并加速决策过程。

By transforming complex data into actionable insights, AdventHealth can operate with greater efficiency and confidence, ultimately enhancing the patient care experience. This strategic initiative not only strengthens the supply chain but also ensures that AdventHealth remains at the forefront of innovation, delivering exceptional care to patients and supporting the needs of healthcare providers..

通过将复杂的数据转化为可操作的见解，AdventHealth能够以更高的效率和信心运作，最终提升患者的护理体验。这一战略性举措不仅加强了供应链，还确保AdventHealth保持在创新前沿，为患者提供卓越的护理服务，并满足医疗保健提供者的需求。