PFI:BIC: iSee - Intelligent Mobile Behavior Monitoring and Depression Analytics Service for College Counseling Decision Support

抑郁症是美国大学校园里最主要的健康问题。今天，大学生们正以几十年来最高的速度应对抑郁症。不幸的是，大学咨询中心（UCC），这是学生接受心理健康服务的主要接入点，在满足日益增长的需求面临着重大挑战。具体来说，UCC的临床医生仍然依赖患者不准确和有偏见的自我报告症状进行抑郁评估。此外，UCC仅在临床环境中的工作时间提供心理健康服务。缺乏必要的服务可能会让患者无助地挣扎，并导致终身后果。此外，由于预算紧张，UCC的临床医生没有增长，一些UCC甚至缩小了规模。因此，更多的学生没有得到及时的治疗。该项目的重点是设计和开发iSee，一个基于智能设备的行为监测和分析平台。iSee利用智能手机/腕带将心理健康护理的范围扩展到临床环境之外，并在需要时提供及时的治疗。此外，持续跟踪的抑郁症状允许UCC更准确地了解每个患者的严重程度，从而减少不必要的就诊，从而可以更好地利用临床医生的时间。 如果成功，iSee有可能在数千所学院和大学加强心理健康服务，使数百万大学生受益。虽然专注于大学生的抑郁症，但该技术可以扩展到其他心理健康状况，如焦虑症，双相情感障碍，痴呆症和精神分裂症;适用于大学生以外的患者;以及在其他场所，如公立医院和私人诊所部署。iSee由智能手机/腕带感测系统，其在患者侧上运行以使用板载传感器连续且被动地跟踪患者的日常行为;行为分析引擎，其使用在云端上运行的机器学习和因果关系分析算法来将行为传感器数据转换成有意义的分析结果，以用于识别患者的抑郁严重程度并揭示导致患者状态减轻或恶化的行为原因;以及在临床医生侧运行的仪表板，以可视化行为信息以及分析结果，从而帮助临床医生做出临床决策并进行治疗。该系统将允许临床医生访问患者日常行为的客观，定量和纵向记录，以支持基于证据的临床评估。该项目涉及来自密歇根州立大学（牵头机构）和西北大学（芝加哥，IL）的多学科和跨组织研究团队。主要的行业合作伙伴是微软研究院（雷德蒙，华盛顿州），这是美国密歇根州立大学咨询中心（东兰辛，密歇根州）的一家大型商业公司，该中心将成为集成和评估iSee智能服务系统的试验台。最后，更广泛的背景合作伙伴包括MSU学生事务和服务副总裁办公室和MSU技术（东兰辛，MI）。该奖项部分由计算机和信息科学与工程局（CISE），信息和智能系统（IIS）部门的资金支持。

Depression is the leading health issue on college campuses in the U.S. Today, college students are dealing with depression at some of the highest rates in decades. Unfortunately, university counseling centers (UCCs), which are the primary access points for students to receive mental health services, are facing significant challenges in meeting the increasing demands. Specifically, clinicians at UCCs still rely on patients' inaccurate and biased self-reported symptoms for depression assessment. In addition, UCCs provide mental health services only during working hours in clinical settings. The lack of service access when needed could leave patients floundering helplessly and lead to lifelong consequences. Furthermore, with tight budgets, clinicians at UCCs have not grown and some UCCs even downsized. As a consequence, more students did not receive timely treatment. This project focuses on designing and developing iSee, a smart device based behavior monitoring and analytics platform. iSee harnesses smartphones/wristbands to extend the reach of mental health care far beyond clinical settings and to deliver timely therapies when needed. Furthermore, the continuously tracked depression symptoms allow UCCs to be more accurately informed with the severity of each patient and thus reduces unnecessary visits so that clinician time can be better utilized. If successful, iSee has the potential to enhance mental health services in thousands of colleges and universities, benefiting millions of college students. Although focusing on depression of college students, the technology can be extended to other mental health conditions such as anxiety, bipolar disorder, dementia, and schizophrenia; adapted to patients beyond college students; and deployed at other settings such as public hospitals and private clinics.iSee consists of a smartphone/wristband sensing system running on the patient side to continuously and passively track patient's daily behaviors using onboard sensors; a behavior analytics engine using machine learning and causality analysis algorithms running on the cloud side to translate behavior sensor data into meaningful analysis results for identifying the patient's depression severity and revealing behavioral causes that lead to the mitigation or the deterioration of the patient's status; and a dashboard running on the clinician side to visualize behavior information as well as analysis results to help clinicians make clinical decisions and conduct treatment. The system would allow clinicians to access an objective, quantitative, and longitudinal record of patients' daily behavior to support evidence-based clinical assessment. This project involves a multi-disciplinary and cross-organizational team of researchers from Michigan State University (lead institution) and Northwestern University (Chicago, IL). The primary industry partner is Microsoft Research (Redmond, WA), which is a large business company in U.S. Michigan State University Counseling Center (East Lansing, MI), which will be the test bed for the integration and evaluation of the iSee smart service system. Finally, the broader context partners include the MSU Office of the Vice President for Student Affairs and Services and MSU Technologies (East Lansing, MI).This award is partially supported by funds from the Directorate for Computer and Information Science and Engineering (CISE), Division of Information and Intelligent Systems (IIS).