Dashboards for Clinician Monitoring of Patients Through a Mobile Sensing Platform

描述（由申请人提供）：精神健康障碍在我国和世界各地造成非常高的个人、社会和经济成本，是一项重大的公共卫生挑战。Cogito已经开发并部署了一种技术，可以倾听自然对话，并对抑郁症等各种结果产生70-90%的预测准确率（Azarbayejani, Feast, Zhang, & Massey, 2011; Azarbayejani, Feast, & Pentland, 2010; Chu, 2009）。这个软件工具最近已经扩展到移动电话。Cogito的新软件套件，移动传感平台，可以客观地测量行为指标（包括运动、通信、位置和声音），并允许患者更容易地监测他们的抑郁、焦虑和创伤后应激障碍的症状。这个I期应用程序的主要重点是开发一种新的工具——仪表板，它将把移动平台扩展到研究人员和临床医生，从而提供一种方便地可视化和分析这些复杂的患者行为数据模式的方法。扩展Cogito的移动传感平台，包括一个新的临床医生仪表板，将大大提高通过我们的移动传感软件收集的丰富数据流的可用性和价值。研究人员将能够在个体和群体水平上准实时地监测和量化治疗对不同患者的影响。第一阶段建议的具体目标是

DESCRIPTION (provided by applicant): Mental health disorders exact very high personal, social and economic costs in our country and around the world, presenting a significant public health challenge. Cogito has developed and deployed technology that listens to natural conversation and produces predictive accuracies of 70-90% with respect to various outcomes such as depression (Azarbayejani, Feast, Zhang, & Massey, 2011; Azarbayejani, Feast, & Pentland, 2010; Chu, 2009). This software tool has been recently augmented and extended to mobile telephones. Cogito's new software suite, the Mobile Sensing Platform, objectively measures behavioral indicators (including motion, communication, location, and voice) and allows patients to more easily monitor their symptoms over time for depression, anxiety, and PTSD. The primary focus of this Phase I application is to develop a new tool - a dashboard - that will extend the mobile platform to researchers and clinicians, thus providing a means of readily visualizing and analyzing these complex patient behavioral data patterns. Extending Cogito's Mobile Sensing Platform to include a new clinician dashboard will enhance greatly the usability and value of the rich data streams collected via our mobile sensing software. Researchers will be able to monitor and quantify the effect of treatments on different patients in quasi-real time, at both the individual and group level. Specific aims of this Phase I proposal are to design and develop a dashboard visualization tool and to establish that the data presented to clinicians and researchers via the dashboard are valid, valuable and useful. Clinical researchers are currently faced with the difficult task of inferring patient behavior and treatment compliance between visits through self-report and historical behavior. Using passively gathered behavioral signals through a smart phone application allows for symptom assessment models to be built from actual behavior instead of reported behavior. Monitoring, analyzing, and visualizing changes in quasi-real time allow clinicians a new window into understanding patient behavior. The Cogito Mobile Sensing Platform would provide such a service, allowing for improvements in patient care through measurement of treatment efficacy, adjustments of medication, and rapid assessments of behavioral change. Cogito is currently involved in clinical trials using our platform to monitor mental illness in US military personnel. We will use this dataset to illustrate prototypical symptom clusters. These longitudinal symptom sets will form the basis for building the dashboard visualization tool. Focus groups with clinical researchers will align the data presentation and usability with the needs of practicing medical professionals.