SBIR Phase II: Mentelist: Predictive Management of Surgical Instruments

小型企业创新研究(SBIR)第二阶段项目的更广泛影响/商业潜力侧重于帮助医院使用数据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性管理的产品；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)带来显著的直接利润率节省。这一努力可能会使医院实现仪器减少50%，OR设置时间减少25%，托盘重量减少33%。它还可以减少手术室中与器械相关的延误和挫败感，使手术更安全、更有效。该技术将确立新数据流的商业可行性，使其能够应用于预测或调度、结果分析和外科团队培训。该项目通过捕获和应用描述手术如何进行的数据流，推动了医疗保健分析领域的发展。每一台手术器械都是专门用于一项非常具体的任务的。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。根据拟议的项目，这些信息是通过跟踪仪器使用情况来获取的。这项技术可以促进一些预测性工具的使用，这些工具可以用来提高OR的效率，甚至为手术技术提供信息。在一定程度上，这一应用程序可以量化世界上最好的外科医生如何提供护理，揭示了可能并不广为人知的见解。这一奖项反映了NSF的法定使命，并通过使用基金会的智力优势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.