NEW YORK--(BUSINESS WIRE)--Qventus, Inc., the leading provider of AI-based software to automate health system operations and promote patient flow, today launched its expanded version of their Inpatient Solution. The solution - which is used by leading health systems across the US - predicts and automates discharge planning, and is fully embedded into EHR workflows.

纽约--（商业新闻短讯）--Qventus，Inc.是基于人工智能的软件的领先提供商，用于自动化医疗系统操作和促进患者流动，今天推出了其住院解决方案的扩展版本。该解决方案由美国领先的卫生系统使用，可预测并自动化出院计划，并完全嵌入EHR工作流程中。

The solution targets the most crucial challenges in healthcare operations: reducing length of stay (LOS) and risk of complications, improving staff efficiency, and enhancing patient and physician satisfaction..

该解决方案针对医疗保健运营中最关键的挑战：减少住院时间（LOS）和并发症风险，提高员工效率，提高患者和医生的满意度。。

With Qventus’ Inpatient Solution, health systems reduce excess days by 20 -- 35 percent and cut LOS by up to one entire day. Within the first month of deployment, OhioHealth increased bed capacity and significantly improved care coordination across the health system, saving nearly 1,400 excess days and approximately $550,000 (forecasted to save 16,800+ excess days and $6.6M in the first year)..

通过Qventus的住院治疗方案，卫生系统将多余的天数减少了20%-35%，并将服务水平降低了整整一天。在部署的第一个月内，OhioHealth增加了床位容量，并显着改善了整个卫生系统的护理协调，节省了近1400多天，约55万美元（预计第一年将节省16800多天，660万美元）。。

Healthcare systems are grappling with escalating safety-critical threats, including a projected nursing shortage of 450,000 bedside nurses by 2027, further strained by soaring emergency department boarding times. Qventus’ Inpatient Solution uses AI to detect gaps in care plans and optimally sequence key care steps to best support patient flow.

医疗保健系统正在应对不断升级的安全关键威胁，包括预计到2027年将有45万名床边护士短缺，而急诊室登机时间的飙升进一步加剧了这一压力。Qventus的住院患者解决方案使用人工智能来检测护理计划中的差距，并对关键护理步骤进行最佳排序，以最佳支持患者流程。

Using Qventus’ real-time data and accurate predictions results in reduced time spent on manual work and enhanced patient outcomes from timely discharges and smoother transitions to post-hospital care..

使用Qventus的实时数据和准确的预测可以减少体力工作所花费的时间，并通过及时出院和顺利过渡到院后护理来提高患者的预后。。

Extended length of stay strains health system finances, burdens staff, decreases patient satisfaction, and worsens health outcomes, according to a recent JAMA article. “By integrating AI intelligence seamlessly into the EHR, we ensure every patient has the benefit of an early, accurate discharge plan with barriers proactively surfaced for care team members via automations, reducing manual workload and improving patient flow,” said Mudit Garg CEO and Co-Founder of Qventus.

根据JAMA最近的一篇文章，延长住院时间会给卫生系统的财务带来压力，给工作人员带来负担，降低患者满意度，并恶化健康状况。Qventus联合创始人Mudit Garg首席执行官表示：“通过将人工智能无缝集成到EHR中，我们确保每位患者都能获得早期准确的出院计划，并通过自动化主动为护理团队成员提供障碍，减少手动工作量，改善患者流量。”。

“It's incredibly rewarding to see our solution help health systems improve care infrastructure, increase capacity, and make meaningful steps toward decreasing the burden on our frontline care teams.”.

“看到我们的解决方案帮助卫生系统改进护理基础设施，提高能力，并采取有意义的措施减轻一线护理团队的负担，这是令人难以置信的收获。”。

Manual processes create inefficiencies that can extend patient stay by more than a day beyond medical necessity. Across 34 million inpatient admissions, that translates to a staggering 34 million excess days – a $34 billion burden on the healthcare system. Built to help combat this, Qventus’ Inpatient Solution includes key features:.

手动流程产生的效率低下，可能会将患者住院时间延长一天以上，超出医疗需要。。Qventus的住院解决方案旨在帮助解决这一问题，它包括以下关键功能：。

Fully embedded in the EHR: Streamlines workflows to keep care team members within their existing EHR environment.

完全嵌入EHR：简化工作流程，使护理团队成员保持在现有的EHR环境中。

Early Discharge Planning (EDP) Intelligence: Real-time insights embedded within existing workflows help care teams set aggressive, but achievable discharge dates, and support optimal disposition determination, using ML models trained on customer data, including provider notes.

早期出院计划（EDP）智能：嵌入现有工作流程中的实时见解有助于护理团队设置积极但可实现的出院日期，并支持最佳处置确定，使用针对客户数据（包括提供者注释）训练的ML模型。

Flow Prioritization: A machine learning algorithm embedded directly in the EHR worklists analyzes patient and census data to determine the optimal order sequence, proactively freeing up capacity and ensuring timely discharges.

流程优先级：直接嵌入EHR工作列表中的机器学习算法分析患者和人口普查数据，以确定最佳订单顺序，主动释放容量并确保及时出院。

Automated Workflows: Qventus' intelligence engine detects gaps in the care plan, prompting providers for key orders, and automatically opens/closes milestones, saving care team time.

自动化的工作流程：Qventus的智能引擎检测护理计划中的差距，提示提供者提供关键订单，并自动打开/关闭里程碑，节省护理团队的时间。

“Today’s care teams are overwhelmed by urgent needs and struggle to plan effectively. With the right tools, we’re able to leverage our data to identify emerging themes, streamlining our operations and optimizing bed utilization,” said Scott Estep, System Vice President, Nursing Operations & Capacity Management at OhioHealth.

OhioHealth护理运营和能力管理系统副总裁斯科特·埃斯特普（ScottEstep）表示：“今天的护理团队被紧急需求所淹没，难以有效规划。有了正确的工具，我们能够利用数据来确定新出现的主题，简化运营并优化床位利用率。”。

“With Qventus Inpatient Solution we’ve reduced the length of stay for patients significantly, resulting not only in significant financial savings but also increased access to care.”.

“通过Qventus住院解决方案，我们大大缩短了患者的住院时间，不仅节省了大量资金，而且增加了获得护理的机会。”。

Qventus’ growing portfolio of solutions maximizes operating room (OR) utilization, automates discharge planning, and creates best-in-class practices for healthcare operations within surgery and inpatient service lines. This announcement comes on the heels of Qventus releasing the results of its first 3 years of deployment with HonorHealth, in which 86 percent of patients received early discharge plans saving the health system over 50,000 excess days, leading to $62 million saved..

Qventus不断增长的解决方案组合最大限度地提高了手术室（OR）的利用率，自动化了出院计划，并为手术和住院服务线内的医疗保健操作创造了一流的实践。在此宣布之前，Qventus发布了HonorHealth部署前3年的结果，其中86%的患者接受了早期出院计划，为卫生系统节省了超过50000天的额外天数，从而节省了6200万美元。。

About Qventus

关于Qventus

For more than a decade, Qventus has been at the forefront as a provider of AI-based software automating care operations in both the operating room and inpatient settings. By deeply understanding the challenges faced by healthcare providers and applying modern technologies and principles proven in other industries, we empower care teams to make smarter decisions and optimize patient flow, while reducing cognitive load on team members and improving the patient experience.

十多年来，Qventus一直处于领先地位，是一家基于人工智能的软件供应商，可在手术室和住院环境中自动进行护理操作。通过深入了解医疗保健提供者面临的挑战，并应用其他行业成熟的现代技术和原则，我们使护理团队能够做出更明智的决策，优化患者流程，同时减少团队成员的认知负担，改善患者体验。

Our solutions not only deliver meaningful returns but have also recently achieved the highest KLAS rating, creating a competitive edge for our clients, including health systems, independent hospitals, and academic medical centers. By integrating with EHRs, the Qventus platform leverages GenerativeAI, machine learning, and behavioral science to predict operational bottlenecks, recommend remedies, and automate processes.

我们的解决方案不仅带来了有意义的回报，而且最近还获得了最高的KLAS评级，为我们的客户（包括卫生系统、独立医院和学术医疗中心）创造了竞争优势。通过与EHR集成，Qventus平台利用GenerativeAI、机器学习和行为科学来预测运营瓶颈、推荐补救措施和自动化流程。

Explore more at www.qventus.com..

Explore more at www.qventus.com..

About OhioHealth

关于OhioHealth

Based in Columbus, Ohio, OhioHealth is a nationally recognized, not-for-profit, charitable, healthcare outreach of the United Methodist Church. Serving its communities since 1891, OhioHealth is a family of 35,000 associates, physicians, and volunteers, and a network of 15 hospitals, three joint-venture hospitals, one managed-affiliate hospital, 200+ ambulatory sites, and other health services spanning a 50-county area.

OhioHealth总部位于俄亥俄州哥伦布市，是联合卫理公会（United Methodist Church）在全国范围内认可的非营利慈善保健机构。OhioHealth自1891年以来一直为社区服务，拥有35000名员工、医生和志愿者，拥有15家医院、三家合资医院、一家管理附属医院、200多个门诊点以及跨越50个县的其他医疗服务网络。

For more information, visit ohiohealth.com..

有关更多信息，请访问ohiohealth.com。。