I-Corps: Medical Application Game-Generator for Prescription Intelligence Evaluation

这个I-Corps项目的更广泛的影响/商业潜力是开发一个软件平台，教授患者关于他们的药物治疗，向健康团队报告患者的知识和健康状况，并向患者提供健康团队的最新处方。 目标是帮助管理患有复杂慢性病的患者。 慢性进行性疾病，如糖尿病，对于患者和医生/健康团队来说很难管理。 它们需要频繁调整行为和药物，并且对医生评估具有挑战性，使患者难以理解，并且通常不方便且管理昂贵。 此外，高需求限制了患者获得诊所时间，并且诊所中的患者教育是耗时的。 所提出的技术旨在提供对患者理解和可能遵守治疗处方的实时客观评估，以及对可穿戴患者监护仪的生理数据报告的这些治疗的影响的评估，并促进实时有效的临床医生-患者沟通，以调整无效的治疗。 所提出的技术可能是朝着改善访问，健康结果，成本控制，员工稳定以及患者和临床医生满意度迈出的一步。 这项技术也可以在其他环境中的实时人类教育的性能评估和优化是可取的，如精英运动员的训练，军事准备，并在遥远的陆地，水生和世界外的环境extremes.This I-Corps项目是基于应用人工智能和智能设备，以促进健康改善软件应用程序的开发。 所提出的技术使用可穿戴健康监测技术和智能辅助理论来完成快速、全面的临床评估和患者对更新的处方信息的理解和实施。 所提出的技术将客观的患者知识性能和生理数据从可穿戴健康监测器传输到临床团队。 然后，临床团队可以用更新的处方指令实时响应患者，以最小的延迟实现最佳的健康改善。研究表明，所提出的技术可以以一种愉快、高效、可量化的方式为成人和青年提供教育和绩效评估。 当前的应用程序利用多个引擎和平台策略来向患者呈现定制的学习、游戏和实践策略，然后通过电子医疗记录将性能数据沿着生理信息传输给临床团队。 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 I-Corps project is the development of a software platform that teaches patients about their medication, reports patient knowledge and health status back to the health team and provides updated prescriptions from the health team to the patient. The goal is to help manage patients with complex chronic diseases. Chronic progressive diseases, such as diabetes, are difficult to manage for the patient and the physician/health team. They require frequent adjustment of behavior and medications and are challenging for physicians to assess, confusing for patients to understand, and often inconvenient and expensive to manage. In addition, high demand limits patients’ access to clinic time, and patient education in the clinic is time-consuming. The proposed technology is designed to provide real-time, objective assessment of patient understanding and likely adherence to treatment prescriptions, and of the impact of those treatments as reported by physiology data from wearable patient monitors, and facilitate real-time, efficient clinician-patient communication to adjust ineffective treatments. The proposed technology may be a step toward improved access, health outcomes, cost-containment, staff stability, and patient and clinician satisfaction. This technology also may have application in other settings where real-time human education for performance assessment and optimization is desirable, such as elite athlete training, military readiness, and operations in remote terrestrial, aquatic, and off-world environment extremes.This I-Corps project is based on the development of a software application that applies Artificial Intelligence and a smart device to facilitate health improvement. The proposed technology uses wearable health monitoring technology and intelligent assistance theory to accomplish rapid, thorough clinical assessment and patient comprehension and implementation of updated prescription information. The proposed technology transmits objective patient knowledge performance and physiological data from a wearable health monitor to the clinical team. The clinical team may then respond with updated prescription instructions to the patient in real-time for optimal health improvement with minimal delay. Studies show that the proposed technology may facilitate education and performance assessment in an enjoyable, efficient, quantifiable manner for adults and youth. The current application leverages multiple engine and platform strategies to present customized learning, gaming, and practice strategies to the patient, then transmits performance data along with physiological information via the electronic medical record to the clinical team. The proposed approach may mitigate the impact of complex progressive diseases by early intervention and rapid adjustment of treatment.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.