A closed-loop gravity infusion control device

一种闭环重力输液控制装置

• 批准号: 10384629
• 负责人: Chie Kawahara
• 金额: $ 21.66万
• 依托单位: SHIFT LABS, INC.
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-09-19 至 2023-03-23
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10384629
• 关键词: 3-Dimensional; Accounting; Acute; Adoption; Adverse effects; Algorithms; Back; Caring; Clinical; Clip; Complex; Coupled; Data; Detection; Development; Devices; Drops; Electronics; Engineering; Environment; Evaluation; Feedback; Force of Gravity; Generations; Goals; Gold; Health Personnel; Health Services Accessibility; Health care facility; Healthcare; Healthcare Market; Home; Hospitals; Immunocompromised Host; Infrastructure; Infusion Pumps; Infusion procedures; Inpatients; Interruption; Intervention; Intravenous; Intravenous infusion procedures; Light; Liquid substance; Long-Term Care; Manuals; Measures; Medical Device; Medicine; Methods; Monitor; Nurses; Optics; Output; Patients; Performance; Periodicity; Pharmaceutical Preparations; Phase; Procedures; Process; Pump; Recording of previous events; Regulatory Pathway; Research; Resources; Signal Transduction; Site; Small Business Innovation Research Grant; Statistical Data Interpretation; System; Systems Integration; Technology; Testing; Time; Transportation of Patients; Validation; Viscosity; Work; active control; algorithm development; analog; base; clinical practice; computerized data processing; cost; cost effective; design; digital; experience; experimental study; falls; health care delivery; health care settings; improved; in silico; innovation; instrumentation; large datasets; machine learning method; medication administration; new technology; novel; pathogen exposure; preclinical development; prototype; sensor; sensor technology; trend; usability

Project Summary This work will develop an innovative infusion device that leverages new electronics and sensor capabilities to produce a medical device that improves intravenous (IV) infusion delivery. IV infusions are among most common healthcare procedures administered worldwide; an estimated 80% of hospital patients receive some IV therapy. Infusions are also increasingly delivered outside of hospital settings, in homes, long-term care facilities, surge settings and other alternate site care (ASC) environments. ASC infusions, in particular, are a critical healthcare trend because they increase access to care by eliminating obstacles such as patient transportation, pathogen exposure for the immunocompromised, and inpatient costs. While infusion is critical infrastructure for healthcare delivery, the technologies to deliver it have not kept up with changing needs in the sector. This proposal builds on a clinically-validated infusion monitoring system, the DripAssist Infusion Rate Monitor, to create a closed-loop, digitally-connected infusion platform capable of administering even potentially complex drug regimes in both acute and ASC settings. This technology-enabled gravity infusion delivery system with automatic flow adjustment, what we call DripAssist Control, will use low cost sensors to accurately measure the volume of fluid in a drop. This is an experimental study that will collect data in silico across a predetermined set of dependent and independent variables. Large data sets will be collected to which both conventional statistical analysis and machine learning methods will be applied. Our research will utilize rich information confirmed to be present in outputs of an existing preliminary benchtop system to establish new data processing methods for measuring drop volume. Once refined, these methods will be optimized into a closed-loop flow control system, which will be developed into a form and fit device and tested within clinical settings with realistic constraints and variability. We have three Aims in this work. Aim 1: establishing two benchtop systems that can broadly identify the drip volume rating of an infusion set through a novel detection process. Aim 2: optimize our sensing and actuating algorithms to clinically acceptable precision and accuracy. Aim 3: perform closed-loop control system integration and preclinical development work to attain a working prototype device that can be tested for usability and established regulatory standards. We believe our work can create a bold shift in clinical practice by introducing novel instrumentation and sensors and producing a simpler infusion delivery device that matches the precision and accuracy of expensive pump platforms.

项目概要 这项工作将开发一种利用新电子设备和传感器的创新输液设备 具有生产改善静脉 (IV) 输液输送的医疗设备的能力。四号 输液是全世界最常见的医疗保健程序之一；一个 据估计，80% 的住院患者接受了一些静脉注射治疗。输液也越来越多 在医院环境、家庭、长期护理机构、激增环境和 其他备用站点护理 (ASC) 环境。 ASC 输注尤其重要 医疗保健趋势，因为它们通过消除患者等障碍来增加获得护理的机会 交通、免疫功能低下者的病原体暴露以及住院费用。尽管 输液是医疗保健服务的关键基础设施，但提供输液的技术尚未成熟 跟上该行业不断变化的需求。该提议建立在经过临床验证的 输液监测系统 DripAssist 输液速率监测器可创建闭环、 数字连接的输液平台能够管理甚至可能复杂的药物 急性和 ASC 环境中的治疗方案。这种技术支持重力输液输送 具有自动流量调节功能的系统，我们称之为 DripAssist Control，将使用低成本 传感器可准确测量液滴中的液体体积。这是一项实验研究 将收集一组预定的因变量和自变量的计算机数据。 将收集大型数据集，进行传统统计分析和机器分析 将应用学习方法。我们的研究将利用经证实的丰富信息 存在于现有初步台式系统的输出中，以建立新的数据处理 测量液滴体积的方法。一旦完善，这些方法将被优化为 闭环流量控制系统，将开发成成型装置并进行测试 在具有现实限制和可变性的临床环境中。我们在此有三个目标 工作。目标 1：建立两个可以广泛识别滴水量的台式系统 通过新颖的检测过程对输液器进行评级。目标 2：优化我们的传感和 驱动算法达到临床可接受的精度和准确度。目标3：执行闭环 控制系统集成和临床前开发工作以获得工作原型 可以测试可用性和既定监管标准的设备。我们相信我们的 通过引入新颖的仪器和技术，工作可以在临床实践中创造大胆的转变 传感器并生产一种更简单的输液输送装置，其精度和精度相匹配 昂贵的泵平台的准确性。