I-Corps: Medical Application Game-Generator for Prescription Intelligence Evaluation
I-Corps: Medical Application Game-Generator for Prescription Intelligence Evaluation
批准号:
2330404
负责人:
Stephen Farrow
金额:
$5.0万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2023
资助国家:
美国
项目状态:
已结题
起止时间:
2023-06-01 至 2024-11-30
中文摘要
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,向患者传授他们的药物,向卫生团队报告患者的知识和健康状况,并向患者提供来自卫生团队的最新处方。其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,对患者和医生/卫生团队来说都很难管理。它们需要经常调整行为和药物,对医生来说具有挑战性,让患者难以理解,而且往往不方便和昂贵的管理。此外,高需求限制了患者获得诊所的时间,诊所中的患者教育非常耗时。这项拟议的技术旨在实时、客观地评估患者对治疗处方的理解和可能的遵守情况,以及来自可穿戴患者监测器的生理数据报告的这些治疗的影响,并促进实时、高效的临床医生和患者沟通,以调整无效的治疗。拟议的技术可能是朝着改善获取、健康结果、成本控制、工作人员稳定性以及患者和临床医生满意度迈出的一步。这项技术还可以应用于其他需要进行实时人类教育以进行绩效评估和优化的环境,例如精英运动员训练、军事准备以及在偏远的陆地、水上和外太空环境中的操作。这个i-Corps项目基于应用人工智能和智能设备的软件应用程序的开发,以促进健康改善。该技术使用可穿戴式健康监测技术和智能辅助理论来完成快速、彻底的临床评估和患者对更新的处方信息的理解和执行。这项拟议的技术将客观的患者知识、表现和生理数据从可穿戴健康监测器传输到临床团队。然后,临床团队可以向患者实时响应更新的处方说明,以便在最小延迟的情况下实现最佳健康改善。研究表明,拟议的技术可以促进成人和青年以愉快、有效和可量化的方式进行教育和绩效评估。当前的应用程序利用多个引擎和平台策略向患者呈现定制的学习、游戏和练习策略,然后通过电子病历将性能数据与生理信息一起传输到临床团队。建议的方法可能会通过早期干预和快速调整治疗来缓解复杂进展性疾病的影响。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。
英文摘要
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.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
国内基金
海外基金
Data-driven Recommendation System Construction of an Online Medical Platform Based on the Fusion of Information
-
批准号:--
-
项目类别:外国青年学者研究基金项目
-
资助金额:--
-
批准年份:2024
-
负责人:江洋子
-
依托单位: