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

创伤后应激障碍（PTSD）是一种毁灭性的精神障碍，具有巨大的个人和社会成本。临床医生迫切需要方法、工具和数据来有效地跟踪、评估和应对整个治疗过程中的心理健康需求，而患者则需要有关如何改善治疗的反馈。为了解决这些问题，本项目的目的是开发一个计算评估工具包与病人和临床医生的接口。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，并将有益于PTSD之外。该系统将部署在埃默里医疗退伍军人计划，一个全国知名的倡议，治疗军人与创伤后应激障碍。该项目还将为学生提供新兴智能健康领域的培训。创伤后应激障碍的治疗受到数据收集和提取的限制。现有的数据可能是主观的和狭隘的，在心理治疗的实施、实践和培训中一直存在障碍。该项目通过开发PE集体感知系统（PECSS）来解决这一挑战，PECSS是一个工具包，将位于传统的PTSD mHealth应用程序之上（即，PTSD教练，最初由退伍军人健康管理局和国防部开发）。具体而言，该项目将（1）开发新型的用户定制传感系统，允许在成像和体内暴露练习期间进行患者数据传输和信息提取，（2）为临床医生和患者设计连续监测接口，以及（3）开发，验证和部署异构计算模型，PE相关传感器数据，将支持和促进治疗输送和有效性的改善。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，患者可以更好地了解他们正在取得的进展以及如何改善他们的暴露练习。接口、数据库和计算模型将在网络上公开访问。还将开发一门以用户为中心的智能医疗保健设计课程，使医学生和计算机科学专业的学生了解这些领域日益增长的相互作用以及一系列计算学科跨学科研究和创新的最佳实践。最后，该项目应影响在国防部和VA的心理健康研究方法。该奖项反映了NSF的法定使命，并已被认为是值得通过使用基金会的智力价值和更广泛的影响审查标准进行评估的支持。

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.