HonorHealth 如何嵌入 Qventus AI Teammates，以自动化 EHR 工作流
How HonorHealth Embeds Qventus AI Teammates to Automate EHR Workflows
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总部位于亚利桑那州的非营利性医疗系统HonorHealth（在大凤凰城地区运营九家急症护理医院、一个规模庞大的医生集团以及门诊网络）已通过加入AI Solution Factory，扩大了与自动化护理运营领导者Qventus的企业合作。
AI Solution Factory 是一种共同开发合作模式，将 Qventus 的转型工程师派驻到医疗系统的一线临床医生和 IT 团队现场，以设计、确定优先级并部署定制的人工智能解决方案。
这一扩展联盟应对严峻的宏观经济压力：现代医疗系统在仅 1% 至 2% 的极薄运营利润率下运行，同时还面临持续的临床人员短缺、医务人员职业倦怠以及报销费率下降。
共同开发的架构设计出自主“AI 队友”，能够直接在原生电子健康记录（EHR）工作流中，对结构化和非结构化临床数据进行聆听、阅读、说话、书写、理解并执行任务。
AI Solution Factory 共同开发架构
AI Solution Factory 模式不是部署僵化的现成软件包，而是将 Qventus 转型人员直接嵌入医疗服务提供者的运营中：
嵌入式运营工程：
Qventus AI 团队在现场与一线临床医生、个案管理者和医院信息学负责人并肩工作，以识别运营摩擦点并共同设计定制自动化例程。
自主“AI 队友”：
在 Factory 内共同开发的解决方案可作为多模态代理运行，能够摄取 EHR 中的结构化和非结构化数据——聆听、阅读临床记录、评估运营信号，并自主执行行政操作（例如自动出院里程碑跟踪、手术区块排程和围手术期授权状态检查）。
快速实现可量化 ROI：
将工程工作专门聚焦于可衡量的经济杠杆：扩大急症床位容量、提高手术室贡献毛利、减少可避免的患者住院日，并削减直接运营成本。
医疗系统供应商围绕“行动系统”进行整合
HonorHealth 的扩展突显了一个企业 IT 趋势：医疗服务提供者组织正将 IT 支出从静态报告仪表板转向统一的“行动系统”，这些系统原生运行在现有 EHR 记录系统（如 Epic）之上：
多模块平台粘性：
在 Qventus 覆盖的 150 多家医院设施中，近一半的企业客户现在部署多个 Qventus 模块（涵盖住院患者流动、急诊科运营和围手术期优化）。
长期企业一致性：
该供应商报告称，其 100% 的客户群都将 Qventus 视为其核心企业 IT 架构的持续组成部分。
将代理式医疗工作流投入运营
虽然基础生成式 LLM 已使草稿生成商品化，但将算法推理转化为可靠的临床和行政执行仍然困难。标准医疗工作流包含独特的合规和临床边缘案例，会使现成软件失效。
通过采用锚定于一家拥有 9 家医院的区域医疗系统内部的共同开发模式，Qventus 获得了快速迭代循环，以强化自主代理，而 HonorHealth 则获得了精确按其区域运营约束配置的专用自动化，同时无需在内部承担全部研发负担。
“Qventus 提供技术解决方案，支持 HonorHealth 技术环境中的关键工作流，”HonorHealth 的 Kim Post（DNP、MBA、RN，执行副总裁（EVP）兼首席运营官（COO））表示。“每年，我们的基准都会提升，流程变得更高效，并且我们会发现优化护理运营的新机会，因为 Qventus 正在与我们持续共同学习。我们部署的每一个解决方案都增强了我们进一步深入合作的信心，而 AI Solution Factory 让我们能够将这一合作推进得更远——共同开发解决方案，以任何现成工具都无法做到的方式应对我们的特定挑战。”
What You Should Know
Arizona-based nonprofit health system HonorHealth (operating nine acute-care hospitals, an extensive medical group, and outpatient networks across Greater Phoenix) has expanded its enterprise partnership with automated care operations leader Qventus by joining the AI Solution Factory The AI Solution Factory is a co-development engagement model that embeds Qventus transformation engineers on-site with health system frontline clinicians and IT teams to design, prioritize, and deploy custom artificial intelligence solutions.
The expanded alliance addresses severe macroeconomic pressures where modern health systems operate on razor-thin operating margins of 1% to 2% alongside persistent clinical staffing shortages, provider burnout, and declining reimbursement rates.
The co-developed architecture designs autonomous “AI teammates” capable of listening, reading, speaking, writing, understanding, and executing tasks across structured and unstructured clinical data directly within native electronic health record (EHR) workflows.
The AI Solution Factory Co-Development Architecture
Rather than deploying rigid, off-the-shelf software packages, the AI Solution Factory model embeds Qventus transformation personnel directly within provider operations:
Embedded Operational Engineering:
Qventus AI teams work on-site alongside frontline clinicians, case managers, and hospital informatics leaders to identify operational friction points and co-design custom automation routines.
Autonomous “AI Teammates”:
Solutions co-developed within the Factory function as multimodal agents capable of ingesting structured and unstructured data across the EHR—listening, reading clinical notes, evaluating operational signals, and autonomously executing administrative actions (such as automated discharge milestone tracking, surgical block scheduling, and perioperative authorization status checks).
Speed to Quantified ROI:
Focuses engineering exclusively on measurable economic levers: expanding acute bed capacity, increasing surgical suite contribution margin, reducing avoidable patient days, and trimming direct operational costs.
Health System Vendor Consolidation Around “Systems of Action”
The HonorHealth expansion highlights an enterprise IT trend: healthcare provider organizations are shifting IT spend away from static reporting dashboards toward unified “systems of action” that operate natively on top of existing EHR systems of record (such as Epic):
Multi-Module Platform Stickiness:
Across Qventus’s footprint of more than
150 hospital facilities, nearly half of all enterprise clients now deploy multiple Qventus modules (spanning inpatient flow, emergency department operations, and perioperative optimization).
Long-Term Enterprise Alignment:
The vendor reports that 100% of its client base considers Qventus an ongoing component of their core enterprise IT architecture.
Operationalizing Agentic Healthcare Workflows
While basic generative LLMs have commoditized draft generation, translating algorithmic reasoning into reliable clinical and administrative execution remains difficult. Standard healthcare workflows contain unique compliance and clinical edge cases that break off-the-shelf software.
By utilizing a co-development model anchored inside a 9-hospital regional health system, Qventus secures rapid iteration loops to harden autonomous agents, while HonorHealth captures specialized automation configured precisely to its regional operating constraints without absorbing the full R&D burden internally.
“Qventus provides technology solutions that support key workflows within HonorHealth’s technology environment,” said Kim Post, DNP, MBA, RN, EVP and COO at HonorHealth. “Every year, our benchmarks improve, our processes get more efficient, and we find new opportunities to optimize care operations because Qventus is continuously learning alongside us. Each solution we’ve deployed has reinforced our confidence to go deeper, and the AI Solution Factory gives us the ability to take that partnership further — co-developing solutions that address our specific challenges in ways no off-the-shelf tool ever could.” Reader Interactions