I-Corps: Computational Pathophysiology-Centric Medical Guidance Systems

这个i-Corps项目的更广泛的影响/商业潜力是大大减少了可预防的医疗事故，每年夺走25万人的生命，是第三大死亡原因。我们的医疗最佳实践指导系统是一项先进的临床决策支持(CDS)技术。就像基于全球定位系统(GPS)的导航系统改变了交通运输一样，这里开发的导航系统可能会从根本上改变医疗最佳实践的实施，提供快速和一致的医疗干预时间，防止意外偏离标准化医疗指南，更准确地保存记录，并改进团队情况感知。目前的市场报告估计，到2023年，CDS市场将超过10亿美元，其中单机系统占据最大的市场份额。这个I-Corps进一步开发了一个计算病理生理学平台。使用这种新的计算范式，医学文本中对疾病过程的非正式描述可以被转换为联网的器官状态机和最佳实践状态机的形式的可执行的形式表示，可以根据规范进行验证，并在临床评估中得到验证。其结果是可执行的计算机模型和精确的软件，可以跟踪和记录复杂的疾病动态。可执行软件模型的精确和可重复性质消除了主观解释和记忆问题造成的错误。该奖项反映了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 I-Corps project is dramatically reduced preventable medical errors, which claims 250,000 lives per year and is the third leading cause of deaths. Our medical best practice guidance system is an advanced clinical decision support (CDS) technology. Like Global Positioning System (GPS) based navigation systems that transformed transportation, the guidance systems developed here will potentially fundamentally transform the implementation of medical best practices, with rapid and consistent timing of medical interventions, preventing unintended deviation from standardized medical treatment guidelines, more accurate record keeping, and improved team situation awareness. Current market reports estimate a CDS market of more than $1 billion by 2023, with stand-alone systems accounting for the greatest market share.This I-Corps further develops a computational pathophysiology platform. Using this new computational paradigm, an informal description of the disease process in the medical text can be transformed into executable formal representations in the form of networked organ state machines and best practice state machines that can be verified against specifications and validated in clinical evaluation. The result is executable computer models and precise software that can track and records complex disease dynamics. The precise and repeatable nature of executable software model removes errors caused by subjective interpretations and memorization problems.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.