Advancing patient call light systems to achieve better outcomes

描述(由申请人提供)：目前的护士呼叫系统缺乏以患者为中心的接口(即枕头扬声器)和将特定请求传递给最合适的提供者的能力，这对操作效率产生了负面影响。此外，现有的系统既没有为英语水平有限(LEP)的患者提供用他们的母语提出呼叫请求的手段，也没有提供在没有口译员的帮助下与他们的提供者交流基本需求的能力。这些缺陷导致护理工作流程效率低下，仍然是医疗差错的持续来源，并导致患者安全失败。据估计，低效的医院通信每年给美国医院造成的损失超过120亿美元，相当于每个500张床位的医院损失400万美元。1患者提供商通信公司(PPC)是一家初创医疗保健技术公司，正在开发EloquenceTM，这是一种全面的、基于证据的、以患者为中心的护士呼叫解决方案。这项专利技术包括一个增强的床边设备(即枕头扬声器)，患者可以向护理人员发送多达30条特定消息，并根据可用性和满足请求所需的技能水平自动发送到最合适的提供者。第一阶段STTR确定了确保患者和护士成功采用的精确用户要求和方法，并交付了一个Alpha原型，其中包括一个交互式数字触摸屏，它提供了一个全面且经过战略安排的患者护士呼叫请求列表，与护士寻呼设备配对，以及一个交互式白板，用于概览每个护理单元的护士呼叫活动的状态。经过严格的用户 在测试中，患者和护士团体都认为，与现有的解决方案相比，原型更有用、更有效、更合适。这一STTR的长期目标是将护士呼叫解决方案商业化，以减少患者的安全故障，让LEP患者公平地使用护士呼叫系统，提高运营效率并降低医院总成本。第二阶段的假设是，Eloquence将满足LEP患者有效使用护士呼叫系统的要求，将护士呼叫完成时间减少20%，将30%的呼叫请求从护士转移到护士助理，患者和护士将比当前的护士呼叫系统更高效、更有效和更安全。PPC将以以下目标检验假设：1)为LEP患者开发以患者为中心的双语版本的口才；2)制作商业上等效的口才原型，并验证系统的技术规格；3)模拟工作流程改进，并使用从单个患者护理单元收集的数据评估用户对口才的满意度。PPC将进入专门从事护士呼叫系统的医疗保健IT市场，这是一个每年160亿美元的市场，作为与当前技术无关的供应商补充解决方案，PPC将提供雄辩的能力。PPC将其专有的增强型枕头扬声器定位为最“智能和高效”的护士呼叫解决方案，简化了护理工作流程，改善了医疗保健服务，也是唯一一款以患者为中心的枕头扬声器，可以公平地接触LEP患者。

DESCRIPTION (provided by applicant): Current nurse call systems lack patient-centric interfaces (i.e. pillow speakers) and the ability to relay specific requests to the most appropriat providers, which negatively impacts operational efficiency. Further, existing systems neither provide a means for limited English proficiency (LEP) patients to make call requests in their native language nor the ability to communicate basic needs with their providers without the aid of an interpreter. These deficiencies lead to inefficient nursing workflow, remain an ongoing source of medical error, and patient safety failures. It has been estimated that inefficient hospitl communication costs U.S. hospitals more than $12 billion annually, or $4 million for each 500-bed hospital.1 Patient Provider Communications, Inc. (PPC) is a start-up healthcare technology company developing EloquenceTM, a comprehensive, evidence- based, patient-centric nurse call solution. The proprietary technology includes an enhanced bedside device (i.e., pillow speaker) for patients to deliver up to 30 specific messages to nursing personnel with automated routing to the most appropriate provider based upon availability and skill level required to fulfil the request. The Phase I STTR determined the precise user requirements and methodology that would ensure successful adoption by both patients and nurses and delivered an alpha prototype consisting of an interactive digital touch screen offering a comprehensive and strategically organized list of patient nurse call requests paired with nurse paging devices and an interactive whiteboard for at-a glance status of nurse call activity for each nursing unit. After rigorous user testing, both patient and nurse groups rated the prototype as more useful, effective and more appropriate compared to existing solutions. The long-term goal of this STTR is commercialization of a nurse call solution that will decrease patient safety failures, give LEP patients equitable access to nurse call systems, improve operational efficiency and decrease overall hospital costs. The Phase II hypothesis is that Eloquencewill meet requirements for LEP patients to effectively use nurse call systems, reduce nurse call fulfillment time by 20%, offload 30% of call requests from nurses to nurse assistants, and will be rated as more efficient, effective and safer than the current nurse call system by patient and nurses. PPC will test the hypothesis with the following aims: 1) Develop a patient-centric bilingual version of Eloquence for LEP patients; 2) Prototype a commercially equivalent prototype of Eloquence and verify technical specifications of the system; 3) Simulate workflow improvement and assess user satisfaction with Eloquence using data collected on a single patient care unit. PPC will enter the health care IT market specializing in nurse call systems, a $16 billion annual market, offering Eloquence as a vendor agnostic complementary solution to current technology. PPC will position their proprietary enhanced pillow speaker as the most "intelligent and efficient" nurse call solution streamlining nursing workflow, improving healthcare delivery, and the only patient- centric pillow speaker available that gives equitable access to LEP patients.