SBIR Phase II: Mentelist: Predictive Management of Surgical Instruments

SBIR 第二阶段：Mentelist：手术器械的预测管理

• 批准号: 2300005
• 负责人: Westin Hill
• 金额: $ 100万
• 依托单位: MENTE, INC.
• 依托单位国家: 美国
• 项目类别: Cooperative Agreement
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-08-15 至 2025-07-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2300005&HistoricalAwards=false
• 关键词: SBIR; Phase; II; Mentelist; Predictive

The broader impact/commercial potential of this Small Business Innovation Research (SBIR) Phase II project is focused on helping hospitals use data to increase efficiency in operating room resource management. The outcome of this work is a product that could deliver predictive management of surgical instruments; It has the potential to possibly deliver significant direct-to-margin savings to Operating Rooms (OR) at a time when hospitals are struggling to remain financially solvent. This effort may enable hospitals to achieve a 50% reduction in instruments, a 25% reduction in OR setup time, and a 33% reduction in tray weight. It could also reduce instrument-related delays and frustration in the ORs, making surgery safer and more efficient. The technology will establish the commercial viability of a new data stream, enabling applications in predictive OR scheduling, outcomes analysis, and surgical team education.This project advances the field of healthcare analytics by capturing and applying a data stream that describes how surgery is performed. Every surgical instrument is specialized for a very specific task. This means each time an instrument is used by a surgeon, there is information about their goals, the state of the patient, and the phase of surgery. Under the proposed project, this information is captured by tracking instrument usage. This technology may facilitate a number of predictive tools that can be used to improve the efficiency of the OR and even inform surgical techniques. At a certain level, this application could enable quantification of how the best surgeons in the world deliver care, revealing insights that may not be widely known.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.

这项小型企业创新研究（SBIR）II期项目的更广泛的影响/商业潜力集中在帮助医院使用数据来提高手术室资源管理的效率。这项工作的结果是可以对手术工具进行预测管理的产品；它有可能在医院努力保持财务上的偿付能力的时候向手术室（或）提供大量直接支出储蓄。这项工作可能使医院能够减少50％的仪器，减少25％或设置时间，并减少33％的托盘重量。它还可以减少与仪器相关的延误和挫败感，从而使手术更安全，更有效。该技术将建立新的数据流的商业生存能力，从而在预测或计划，成果分析和外科团队教育中提供应用程序。该项目通过捕获和应用描述手术的数据流来推动医疗保健分析领域。每种手术仪器都专门用于一项非常具体的任务。这意味着每次外科医生都使用仪器时，就有有关其目标，患者状态和手术阶段的信息。在拟议的项目下，此信息是通过跟踪仪器使用范围捕获的。该技术可能会促进许多可用于提高OR效率的预测工具，甚至可以为手术技术提供信息。在一定层面上，该应用程序可以量化世界上最好的外科医生如何提供护理，从而揭示了可能并不广为人知的见解。该奖项反映了NSF的法定任务，并被认为是通过基金会的智力优点和更广泛影响的审查标准通过评估来获得支持的。