SBIR Phase II: Mentelist: Predictive Management of Surgical Instruments

这个小型企业创新研究（SBIR）第二阶段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。这项工作的成果是一种可以提供手术器械预测管理的产品;在医院努力保持财务偿付能力的时候，它有可能为手术室（OR）提供显着的直接利润节省。这一努力可能使医院能够减少50%的仪器，减少25%的手术室设置时间，减少33%的托盘重量。它还可以减少手术室中与器械相关的延迟和挫折，使手术更安全，更有效。该技术将建立一个新的数据流的商业可行性，使应用程序的预测或调度，结果分析，和手术团队的教育。该项目通过捕获和应用数据流，描述了手术是如何进行的，推进医疗保健分析领域。每一个手术器械都是专门用于一个非常特定的任务。这意味着外科医生每次使用仪器时，都会有关于他们的目标，患者状态和手术阶段的信息。在拟议项目下，通过跟踪仪器使用情况获取这一信息。这项技术可以促进许多预测工具，可用于提高手术室的效率，甚至为手术技术提供信息。在某种程度上，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，揭示可能不广为人知的见解。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 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.