SCH: INT:Prolonged Exposure Collective Sensing System (PECSS) for PTSD

创伤后应激障碍(PTSD)是一种破坏性的精神障碍，具有巨大的个人和社会代价。临床医生迫切需要方法、工具和数据来有效地跟踪、评估和响应整个治疗过程中的心理健康需求，而患者则需要关于如何改进他们的治疗的反馈。为了解决这些问题，该项目旨在开发一个具有患者和临床医生界面的计算评估工具包。该系统基本上是跨学科的，需要结合来自多个领域的新见解--无处不在的计算、人机交互和机器学习。该项目的发现将推动这些领域的发展，并将超出创伤后应激障碍的范畴。该系统将部署在埃默里医疗退伍军人计划中，这是一个全国知名的计划，治疗患有创伤后应激障碍的军人。该项目还将在新兴的智能健康领域为学生提供培训。创伤后应激障碍的治疗受到数据收集和提取的限制。可获得的数据可能是主观的和狭隘的，在心理治疗的提供、实践和培训中呈现出持续的障碍。该项目通过开发PE集体传感系统(PECSS)来应对这一挑战，该系统是一个工具包，将安装在用于创伤后应激障碍的传统mHealth应用程序(即，创伤后应激障碍教练，最初由退伍军人健康管理局和国防部开发)之上。具体地说，该项目将(1)开发新的、用户定制的传感系统，允许在想象和体内暴露练习期间传输患者数据和提取信息，(2)设计用于临床医生和患者的持续监测的接口，以及(3)开发、验证和部署与PE相关的异类传感器数据的计算模型，以支持和促进改善治疗提供和有效性。PECSS将允许临床医生使用自动预测来提供更好的治疗和个性化反馈，患者也可以更好地了解他们正在取得的进展以及如何改进他们的暴露练习。界面、数据库和计算模型将在Web上公开访问。还将开发一门以用户为中心的智能保健设计课程，使医学生和计算机科学专业的学生接触到这些领域日益增长的惯性部分，以及在一系列计算学科的跨学科研究和创新方面的最佳做法。最后，该项目应该影响国防部和退伍军人管理局的心理健康研究方法。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。

Post-Traumatic Stress Disorder (PTSD) is a devastating mental disorder with tremendous individual and societal costs. Clinicians are in urgent need of methods, tools, and data to efficiently track, assess, and respond to mental health needs throughout the treatment process, while patients need feedback about how to improve their therapy. To address these issues, this project aims to develop a computational assessment toolkit with patient and clinician interfaces. The system is fundamentally interdisciplinary and requires combining novel insights from multiple fields -- ubiquitous computing, human-computer interaction, and machine learning. Findings from this project will advance these fields and will be beneficial beyond PTSD. The system will be deployed at Emory Healthcare Veterans Program, a nationally renowned initiative that treats members of the military with PTSD. The project will also provide training for students in the burgeoning field of intelligent health.Treatment for PTSD is constrained by data collection and extraction. The data that are available can be subjective and narrow, presenting a constant obstacle in the delivery, practice, training of psychotherapy. This project addresses the challenge by developing a PE Collective Sensing System (PECSS), a toolkit that will sit atop a conventional mHealth app for PTSD (i.e., PTSD Coach, originally developed by the Veterans Health Administration and Department of Defense). Specifically, the project will (1) develop novel, user-tailored sensing systems that allow patient data transfer and information extraction during both imaginal and in-vivo exposure exercises, (2) design interfaces for continuous monitoring for both clinicians and patients, and (3) develop, validate and deploy computational models of heterogeneous, PE related sensor data that will support and facilitate the improvement of treatment delivery and effectiveness. PECSS will allow clinicians to use automated predictions to deliver better therapeutic treatment and individualized feedback, and patients to better understand the progress they are making and how to improve their exposure exercises. The interfaces, databases, and computational models will be publicly accessible on the web. A course on User-Centered Design for Intelligent Health Care will also be developed to expose medical students and computer science students to the growing inersection of these fields and best practices in interdisciplinary research and innovation in a range of computing disciplines. Finally, the project should impact mental health research approaches in the DoD and the VA.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.