I-Corps: A Home-based Solution for Remote Lung Function Monitoring for Patients with Chronic Lung Disease

I-Corps：慢性肺病患者远程肺功能监测的家庭解决方案

• 批准号: 2341832
• 负责人: Michael Tomasson
• 金额: $ 5万
• 依托单位: University of Iowa
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-12-01 至 2024-11-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2341832&HistoricalAwards=false
• 关键词: Corps; Home; based; Solution; Remote

The broader impact/commercial potential of this I-Corps project is the development of an improved measurement tool for remote lung function monitoring. Chronic lung disease impacts 10% of the United States population and nearly 80% of rural residents live in a "healthcare desert," with a limited number of overall healthcare providers, poor access to specialty care, large geographic distances between residents and hospitals, and socioeconomic challenges that provide barriers to accessing frequent care. Urban populations and U.S. veterans share many of these challenges. Current remote lung monitoring technologies lack sensitivity, effective reporting options and ease of use. Tools that leverage telemedicine in the lung health space along with higher-sensitivity lung monitoring tools have the potential to address these challenges. The proposed technology may provide the first head-to-head comparison of home-based gas washout technology, which is superior in the clinical setting, to standard-of-care home diagnostics and provide the rationale for future development of these technologies. The potential impact is high, given the large number of individuals that may benefit from improved home monitoring, physician dissatisfaction with current home-based solutions, and the number of patients that are currently underserved, including pediatric populations, rural populations, and underserved urban populations. This I-Corps project is based on the development of a solution for remote lung health monitoring. In the current healthcare model, most lung diagnostic measurements are made in the clinic or hospital. As a result, they are often made infrequently or in reaction to worsening symptoms. Spirometers and peak flow meters are widely available for home use but use forced exhalation maneuvers that are highly dependent on a patient's effort and can be highly variable. Gas washout methods sensitively and accurately measure the key elements of worsening lung disease - airway volume, airway homogeneity, and lung volume - that are recognized as superior to measurements based on forced exhalations. Until now, gas washout measurements have only been available in large medical centers because they require bulky equipment and externally supplied gases. To address these shortcomings, the proposed technology translates the principles underlying clinic-based gas washout to a home-based system, without the need for supplied gas tanks, and where measurement data can be reported back to a clinician’s office. Currently, home-based diagnostics are an insufficient supplement because home-based diagnostics include poorly sensitive methods, the requirement that patients keep a paper record, and the lack of integration of the information into the medical record. This technology may overcome these limitations by offering a superior diagnostic test that records data longitudinally and transmits these data to a clinician for review.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

该 I-Corps 项目更广泛的影响/商业潜力是开发一种改进的远程肺功能监测测量工具，慢性肺病影响着 10% 的美国人口和近 80% 的农村居民生活在“医疗沙漠”中。 “，”整体医疗保健提供者数量有限，获得特殊护理的机会有限，居民和医院之间的地理距离较大，以及阻碍获得频繁护理的社会经济挑战，目前的偏远地区面临着许多挑战。肺部技术监测缺乏灵敏度、有效的报告选项和易用性的工具在肺部健康领域利用远程医疗以及更高灵敏度的肺部监测工具有可能解决这些挑战。家庭气体冲洗技术在临床环境中优于标准护理家庭诊断，并为这些技术的未来发展提供了理由，考虑到大量个人可能受益于该技术，潜在影响很大。改善家庭监控、医生对当前家庭解决方案的不满，以及目前服务不足的患者数量，包括儿科人群、农村人口和服务不足的城市人口。该 I-Corps 项目基于远程肺部健康监测解决方案的开发。在当前的医疗保健模式中，大多数肺部诊断测量都是在诊所或医院进行的，因此，这些测量通常很少进行，或者是针对症状恶化而进行的，肺活量计和峰值流量计广泛用于家庭使用，但使用的是强制呼气操作。气体冲洗方法高度依赖于患者的努力，并且变化很大，可以灵敏、准确地测量肺部疾病恶化的关键因素——气道容量、气道均匀性和肺容量——这被认为优于基于用力呼气的测量。到目前为止，气体冲洗测量仅在大型医疗中心可用，因为它们需要笨重的设备和外部供应的气体。为了解决这些缺点，所提出的技术将基于诊所的气体冲洗的原理转化为家庭系统，而无需使用。需要提供气罐，并且可以将测量数据报告给临床医生办公室。目前，家庭诊断还不够，因为家庭诊断的方法灵敏度较差，要求患者保留纸质记录，并且该技术可以通过提供纵向记录数据并将这些数据传输给临床医生进行审查的高级诊断测试来克服这些限制。该奖项符合 NSF 的法定使命，并被认为是值得的。通过评估提供支持基金会的智力价值和更广泛的影响审查标准。