PFI-RP: Partnerships for Patient Safety: Utilization-Driven Management of Critical Medical Equipment

该创新-研究合作伙伴关系（PFI-RP）项目的更广泛影响/商业潜力涉及通过使用驱动的设备管理技术（特别是输液泵）的出现来改善患者安全和医院效率。输液泵在对住院患者进行治疗中起着至关重要的作用，但由于经常使用，容易损坏，导致用药错误，从而伤害患者并产生大量额外的医疗保健费用。目前，输液泵根据预定的时间间隔进行维修，该预定的时间间隔不考虑设备使用的变化，从而允许潜在危险的设备在检查之间保持使用，并且将资源浪费在功能设备的过度维护上。通过大学，工业和医疗保健合作伙伴之间的多学科合作，该项目将开发一个系统，使利用率驱动的设备管理在医院中切实可行。拟议的系统将有助于早期发现损坏的输液泵，从而减少代价高昂的用药错误的可能性，并每年挽救数千名患者免受伤害。除了提高患者安全性外，该系统还将满足医疗技术管理人员对数据驱动的维护和采购策略日益增长的需求，以降低设备相关成本并提高护理价值。拟议项目旨在通过开发和推进商业化系统来推进医疗保健技术管理的最新水平，该系统利用新的可用输液泵使用数据来源，结合先进的生存分析和可靠性工程技术，制定优化的利用率驱动的设备管理计划，考虑设备风险和医院资源限制。将解决的技术挑战包括（i）与输液泵利用率和可靠性之间存在的关系的精确性质、可变性和决策影响相关的知识差距，以及（ii）与实施可扩展数据分析和构建概念软件工具，使最终用户能够制定最佳的输液泵管理计划，适合他们的组织需求。这项转化研究将导致创建特定于医疗技术管理的数据驱动自适应知识，并可推广到更广泛的可靠性工程和运营研究学科。该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

The broader impact/commercial potential of this Partnerships for Innovation – Research Partnerships (PFI-RP) project relates to the improvement of patient safety and hospital efficiency through the advent of utilization-driven equipment management techniques, specifically for infusion pumps. Infusion pumps serve a vital role in administering treatment to hospitalized patients, but are prone to damage through regular use, resulting in medication errors that harm patients and generate substantial excess healthcare costs. Presently, infusion pumps are serviced according to predetermined time intervals that do not account for variations in device usage, allowing potentially hazardous devices to remain in use between inspections and wasting resources on excessive maintenance of functional devices. Through a multidisciplinary collaboration between university, industry, and healthcare partners, this project will develop a system that makes utilization-driven equipment management practicable in hospitals. The proposed system will facilitate early detection of damaged infusion pumps, thereby reducing the likelihood of costly medication errors and saving thousands of patients from harm each year. In addition to increasing patient safety, the system will address the growing demand among healthcare technology managers for data-driven maintenance and procurement strategies that reduce equipment-related costs and increase the value of care. The proposed project seeks to advance the state-of-the-art in healthcare technology management by developing and advancing towards commercialization a system that leverages newly available sources of infusion pump utilization data, in conjunction with advanced survival analysis and reliability engineering techniques, to formulate optimized utilization-driven equipment management programs accounting for device risk and hospital resource constraints. Technical challenges that will be addressed include (i) knowledge gaps related to the precise nature, variability, and decision implications of the relationship existing between infusion pump utilization and reliability, and (ii) technical barriers pertaining to the implementation of scalable data analysis and construction of a proof-of-concept software tool that will enable end users to formulate optimal infusion pump management programs tailored to their organizational needs. This translational research will result in the creation of data-driven adaptive knowledge specific to healthcare technology management and generalizable to the broader reliability engineering and operations research disciplines.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.