Transdisciplinary Learning Lab to eliminate patient harm and reduce waste

跨学科学习实验室消除患者伤害并减少浪费

• 批准号: 8932017
• 负责人: Peter J. Pronovost
• 金额: $ 99.33万
• 依托单位: JOHNS HOPKINS UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-09-30 至 2018-09-29
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8932017
• 关键词: Transdisciplinary; Learning; Lab; eliminate; patient

DESCRIPTION (provided by applicant): Health care has little to show for its $800 billion investment in health information technology (HIT): productivity is flat and preventable patient harm remains the third leading cause of death in the U.S. The usability of many technologies is pathetic; devices do not talk to each other; it is needlessly burdensome to get data out of HIT systems and write decision support tools; TREATMENTS protocols are underspecified, working on one harm at a time rather than all patient harms; and outcomes are largely assumed rather than measured. In short, health care is grossly under-engineered. The Johns Hopkins Armstrong Institute Learning Lab is uniquely positioned to apply robust systems engineering methods by leveraging our transdisciplinary team of clinicians, researchers and engineers from the Johns Hopkins University's Applied Physics Lab (APL), and Schools of Medicine, Nursing, Public Health, Engineering, and Arts and Sciences. By using these methods, we will realize our goal of partnering with patients, their loved ones and others to eliminate preventable harm, optimize patient outcomes and experience, and reduce waste in healthcare. Our comprehensive program plan incorporates design thinking and systems engineering, using a model our APL team developed for the US Navy's submarine force. This can provide healthcare with a model for systematically envisioning and iterating a broad system objective and the necessary component activities required to realize that objective. In this proposal, our Learning Lab will work on three significant and interdependent patient safety areas that integrate systems engineering and health delivery research: 1) develop high-level design requirements for an Ideal ICU, utilizing design thinking and system engineering methods; 2) leverage open application programming interfaces to engineer interoperability between EHRs and infusion pumps; and 3) develop and implement an indicator of unit-level stress in an engineered care system to predict and mitigate risk

描述（由申请人提供）：医疗保健对其8000亿美元的健康信息技术投资（HIT）几乎没有显示：生产力是平坦的，可预防的患者伤害仍然是美国的第三大主要死亡原因，许多技术的可用性是可悲的；设备不会互相交谈；从热门系统中获取数据并编写决策支持工具是不必要的；治疗方案被指定，一次造成一种危害而不是所有患者危害；结果在很大程度上是假定的而不是测量的。简而言之，医疗保健的设计严重不足。 约翰·霍普金斯·阿姆斯特朗学院学习实验室的独特位置可以通过利用约翰·霍普金斯大学应用物理实验室（APL）和医学，护理，公共卫生，工程，工程以及艺术和艺术和科学的临床医生，研究人员和工程师的跨学科团队来应用健壮的系统工程方法。通过使用这些方法，我们将实现与患者，亲人和其他人合作的目标，以消除可预防的伤害，优化患者的结果和经验，并减少医疗保健中的浪费。我们的综合计划计划结合了设计思维和系统工程，使用了我们为美国海军海军潜艇部队开发的模型。这可以为医疗保健提供系统地设想和迭代广泛的系统目标以及实现该目标所需的必要组件活动的模型。在此建议中，我们的学习实验室将在三个重要且相互依存的患者安全区域上工作，这些患者安全区域整合了系统工程和卫生提供研究：1）利用设计思维和系统工程方法，为理想的ICU开发高级设计要求； 2）利用开放的应用程序编程接口来设计EHR和输液泵之间的互操作性； 3）在工程护理系统中开发和实施单位压力的指标，以预测和减轻风险