「英中对照」GE HealthCare发布用于医院运营资源预测的CareIntellect™ for Operations

•  Two leading academic medical centers will be the first health systems to implement CareIntellect for Operations 两家领先的学术医学中心将成为首批部署 CareIntellect for Operations 的医疗系统
• Solution provides a 72-hour view of emerging operational bottlenecks and delivers actionable guidance tied to discharge, imaging, transfer, and other capacity needs该解决方案可提供未来 72 小时内新出现的运营瓶颈视图，并给出与出院、影像检查、转诊及其他容量需求相关的可执行指导
• Combines GE HealthCare’s proprietary AI models and more than two decades of hospital operations expertise融合 GE HealthCare 的专有 AI 模型以及二十余年的医院运营专业经验

CHICAGO­­ — September 15, 2026 — GE HealthCare (Nasdaq: GEHC) today announced CareIntellect™ for Operations, a new AI-enabled Software-as-a-Service (SaaS) application designed to help health systems forecast capacity constraints up to 72 hours in advance, providing comprehensive unit-, department-, and enterprise-level views of emerging bottlenecks. By analyzing hundreds of patient- and operational-level data points—including bed availability, patient delays, staffing, wait times, and ancillary services—CareIntellect for Operations predicts constraints and helps operational leaders decide what to do next by recommending prescriptive actions to optimize areas including capacity and throughput. The Queen’s Health Systems and Duke Health will be the first health systems to implement the application.芝加哥­­ — 2026年9月15日 — GE HealthCare（Nasdaq：GEHC）今日发布 CareIntellect™ for Operations，这是一款全新的 AI 赋能型软件即服务（SaaS）应用，旨在帮助医疗系统提前最长 72 小时预测容量约束，并提供病区、科室及企业层面新出现瓶颈的全面视图。通过分析数百个患者层面和运营层面的数据点——包括床位可用情况、患者延误、人员配置、等待时间和辅助服务——CareIntellect for Operations 可预测约束，并通过推荐规范性行动帮助运营负责人确定下一步措施，以优化容量和吞吐量等领域。The Queen’s Health Systems 和 Duke Health 将成为首批部署该应用的医疗系统。

Health systems are facing rising demand, staffing shortages, and increasing costs. In 2025, inpatient volumes increased 5.3%, requiring health systems to care for more patients while operating at or near capacity.^{1, 2} In this environment, operational visibility and predictive insights are more important than ever. Yet leaders currently spend up to several hours each day gathering and analyzing data to answer basic operational questions, including pulling and reconciling data from multiple systems with little or no predictive foresight into oncoming bottlenecks. In some cases, teams still rely on manual processes to track operational updates and escalate issues. Even after leaders create a picture of the current state, they must then spend additional time determining how to mitigate emerging issues before they cascade into system-wide disruptions. These operational inefficiencies can create added churn for care teams, constrain patient access, and impact speed and quality of care delivery.医疗系统正面临需求上升、人员短缺和成本上涨。2025 年，住院量增长 5.3%，这要求医疗系统在满负荷或接近满负荷运转的同时服务更多患者。^{1, 2} 在这种环境下，运营可视性和预测性洞察比以往任何时候都更加重要。然而，管理者目前每天要花费多达数小时收集和分析数据，以回答基本运营问题，包括从多个系统提取和核对数据，对即将出现的瓶颈几乎乃至完全缺乏前瞻性预判。在某些情况下，团队仍依赖人工流程来跟踪运营动态并上报问题。即使管理者掌握了当前状况，也还必须额外花费时间，确定如何在新问题级联演变为全系统中断之前对其加以缓解。这些运营低效会给照护团队带来更多忙乱，限制患者可及性，并影响医疗服务提供的速度和质量。

CareIntellect for Operations is designed to help health systems shift from reacting to operational pressure to anticipating and proactively managing resource constraints and bottlenecks. The application uses two proprietary GE HealthCare AI models. The Pressure Forecast model analyzes historical hospital operations data alongside real-time insights from the EMR and other resource management systems to predict potential resource constraints across hospitals, departments, and units up to 72 hours in advance, including census, staffing, boarding and wait times across the emergency department, therapies, procedural recovery, and inbound transfers. The Estimated Day of Discharge model analyzes longitudinal patient data to predict when individual patients are likely to be discharged, with estimates updated hourly as new information becomes available. It then surfaces recommended actions and dynamically prioritizes operational workflows to help teams address system strain and mitigate impacts to access, quality of care delivery, or capacity.CareIntellect for Operations 旨在帮助医疗系统从被动应对运营压力，转向预判并主动管理资源约束和瓶颈。该应用采用 GE HealthCare 的两款专有 AI 模型。Pressure Forecast 模型会分析历史医院运营数据以及来自 EMR 和其他资源管理系统的实时洞察，提前最长 72 小时预测各医院、科室和病区的潜在资源约束，包括急诊科、各类治疗服务、操作后恢复以及转入环节的在院人数、人员配置、滞留和等待时间。Estimated Day of Discharge 模型会分析纵向患者数据，预测每位患者的可能出院时间，并随着新信息可用而每小时更新估计结果。随后，该应用会呈现建议措施，并动态排定运营工作流的优先级，帮助团队应对系统压力，减轻对就诊可及性、医疗服务质量或容量的影响。

The Queen’s Health Systems and Duke Health will be the first clinical evaluation sites to implement CareIntellect for Operations, providing frontline clinical and operational feedback that GE HealthCare is using to inform future enhancements and capabilities. The application is also informed by more than two decades of healthcare operations expertise. This includes insights from its Command Center software, which is used by nearly 500 hospitals and medical facilities globally. Command Center customers have reported measurable operational outcomes, including up to $20 million in first-year cost savings,³ more than a one-day decrease in length of stay,⁴ and increased capacity to serve 19,000 additional patients annually.^{5, 6}Queen’s Health Systems和Duke Health将成为首批部署CareIntellect for Operations的临床评估机构，提供一线临床与运营反馈；GE HealthCare正利用这些反馈为未来的增强功能和能力提供依据。该应用还融入了二十多年的医疗运营专业经验，其中包括来自其Command Center软件的洞察，该软件在全球被近500家医院和医疗机构使用。Command Center客户已报告可衡量的运营成果，包括首年最高达$20 million的成本节省，³住院时间缩短超过一天，⁴以及容量提升，每年可多服务19,000名患者。^{5, 6}

“At Queen’s, improving access for the communities we serve is one of our top priorities, and optimizing our operations is critical to helping us achieve that,” said Alex Wroe, Chief Operating Officer at The Queen’s Medical Center. “We’ve seen firsthand how this type of advanced operational software can help us free up more capacity and better use our resources. We look forward to taking this work to the next level, helping us move beyond reacting to capacity challenges and toward proactively ensuring that our beds, teams, and resources are available for the patients who need them most.” “在Queen’s，改善我们所服务社区的就医可及性是我们的首要任务之一，而优化运营对于帮助我们实现这一目标至关重要，”The Queen’s Medical Center首席运营官Alex Wroe表示。“我们已亲眼看到此类先进运营软件如何帮助我们释放更多容量并更好地利用资源。我们期待将这项工作提升到新的水平，帮助我们不再被动应对容量挑战，而是主动确保床位、团队和资源能够提供给最需要的患者。” 

"Managing demand and capacity across our system in a coordinated, predictable way is essential to delivering exceptional care,” said Katie Flanagan, Associate Vice President Patient Flow and Care Coordination at Duke Health. "CareIntellect for Operations builds on three years of partnership with GE HealthCare, giving our teams a three-day view of what's coming so they can move faster from analysis to action, for the benefit of our patients.”“以协调一致、可预测的方式管理我们整个系统的需求和容量，对于提供卓越照护至关重要，”Duke Health患者流转与照护协调副总裁Katie Flanagan表示。“CareIntellect for Operations建立在与GE HealthCare三年合作的基础之上，让我们的团队能够提前了解未来三天的情况，从而更快地从分析转向行动，造福患者。”

CareIntellect for Operations is part of GE HealthCare’s CareIntellect™ family of clinical and operational applications which share a common, cloud-first infrastructure designed to allow customers to quickly and securely onboard new CareIntellect applications without having to take a costly and time-consuming product-by-product integration approach. CareIntellect for Operations runs on Amazon Web Services (AWS) and is available for purchase directly from GE HealthCare as well as through the AWS Marketplace.CareIntellect for Operations是GE HealthCare CareIntellect™临床及运营应用系列的一部分，这些应用共用通用的云优先基础设施，旨在让客户能够快速、安全地启用新的CareIntellect应用，而无需采用成本高昂且耗时的逐产品集成方式。CareIntellect for Operations运行于Amazon Web Services（AWS），可直接从GE HealthCare购买，也可通过AWS Marketplace购买。

“Health systems need to know where pressure is building and what to do next. CareIntellect for Operations brings together patient and operational signals to give teams a 72-hour view of emerging constraints and help them act earlier,” said Dr. Taha Kass-Hout, Global Chief Science and Technology Officer at GE HealthCare. “AI in hospital operations has to give teams predictions they can understand, workflow-connected recommendations they can use, and a system they can trust at the point of decision—and that is the bar we designed this solution to meet.”“医疗系统需要知道压力正在何处积聚，以及下一步该做什么。CareIntellect for Operations汇集患者信号与运营信号，让团队能够提前72小时洞察正在显现的瓶颈，并帮助他们更早采取行动，”GE HealthCare全球首席科学与技术官Taha Kass-Hout博士表示。“医院运营中的AI必须为团队提供他们能够理解的预测、与工作流相连且可供使用的建议，以及在决策时点值得信赖的系统——这正是我们设计此解决方案时所要达到的标准。”

CareIntellect for Operations supports GE HealthCare’s strategy to deliver a new wave of innovation and further differentiate its portfolio of AI-enabled SaaS offerings that help health systems expand access, manage capacity, and keep care moving. Since 2023, GE HealthCare has invested more than $5.1 billion in innovation to elevate care, support clinicians, and streamline operations.CareIntellect for Operations支持GE HealthCare推出新一轮创新浪潮、进一步推动其AI赋能SaaS产品组合差异化的战略，这些产品帮助医疗系统扩大可及性、管理容量并保持照护连续顺畅。自2023年以来，GE HealthCare已在创新方面投入超过$5.1 billion，以提升照护水平、支持临床医生并精简运营。

For more information on CareIntellect for Operations, visit: CareIntellect™ for Operations | GE HealthCare (United States)有关CareIntellect for Operations的更多信息，请访问： CareIntellect™ for Operations | GE HealthCare（美国）

1. American Hospital Association, “Costs of Caring: Challenges Facing America’s Hospitals as They Care for Patients in 2026,” March 2026, https://www.aha.org/costsofcaring.1. American Hospital Association，《照护成本：2026年美国医院照护患者时面临的挑战》，2026年3月，https://www.aha.org/costsofcaring。

2. UCLA Clinical and Translational Science Institute, “The U.S. Could Experience a Critical Hospital Bed Shortage by 2032, New Research Warns,” April 30, 2025, https://ctsi.ucla.edu/the-us-could-experience-a-critical-hospital-bed.2. UCLA Clinical and Translational Science Institute，《新研究警告：到2032年美国可能出现严重病床短缺》，2025年4月30日，https://ctsi.ucla.edu/the-us-could-experience-a-critical-hospital-bed。

3. GE HealthCare, “Command Center Helps Improve Patient Flow, Saving $20M in First Year: Case Study: The Queen’s Health Systems,” 2025, https://www.gehealthcare.com/content/dam/gehc/sitecore-migrated-assets/gehc/us/images/products/software/commandcenter/case-study-the-queens-health-systems-may-2025.pdf.3. GE HealthCare，《指挥中心帮助改善患者流转，首年节省 $20M：案例研究：The Queen’s Health Systems》，2025，https://www.gehealthcare.com/content/dam/gehc/sitecore-migrated-assets/gehc/us/images/products/software/commandcenter/case-study-the-queens-health-systems-may-2025.pdf。

4. GE HealthCare, “Command Center Helps Improve Patient Flow, Saving $20M in First Year: Case Study: The Queen’s Health Systems,” 2025, https://www.gehealthcare.com/content/dam/gehc/sitecore-migrated-assets/gehc/us/images/products/software/commandcenter/case-study-the-queens-health-systems-may-2025.pdf.4. GE HealthCare，《指挥中心帮助改善患者流转，首年节省 $20M：案例研究：The Queen’s Health Systems》，2025，https://www.gehealthcare.com/content/dam/gehc/sitecore-migrated-assets/gehc/us/images/products/software/commandcenter/case-study-the-queens-health-systems-may-2025.pdf。

5. GE HealthCare, “Regional Command Center Helps Create Capacity for 19,000 Additional Patients Annually: Case Study: Providence Swedish – Puget Sound Region,” 2025, https://www.gehealthcare.com/content/dam/gehc/sitecore-migrated-assets/gehc/us/images/products/software/commandcenter/providence-1-page-case-study-090525-rgb-v2.pdf.5. GE HealthCare，《区域指挥中心帮助每年为额外 19,000 名患者创造收治容量：案例研究：Providence Swedish – Puget Sound Region》，2025，https://www.gehealthcare.com/content/dam/gehc/sitecore-migrated-assets/gehc/us/images/products/software/commandcenter/providence-1-page-case-study-090525-rgb-v2.pdf。

6. The results are not prescriptive and could vary depending on user, electronic patient medical records software used, and level of adoption.6. 结果不具规定性，可能因用户、所使用的电子患者病历软件以及采用程度而异。