Dashboards for Clinician Monitoring of Patients Through a Mobile Sensing Platform

临床医生通过移动传感平台监控患者的仪表板

• 批准号: 8876801
• 负责人: Skyler Place
• 金额: $ 59.95万
• 依托单位: COGITO HEALTH, INC.
• 依托单位国家: 美国
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-04-01 至 2017-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8876801
• 关键词: Anxiety; Behavior; Behavior Therapy; Behavioral; Car Phone; Caring; Clinic; Clinic Visits; Clinical; Clinical Research; Clinical Trials; Clinical assessments; Clinical trial protocol document; Companions; Computer Simulation; Consultations; Country; Data; Data Analyses; Data Collection; Detection; Development; Diagnosis; Disease; Distress; Enrollment; Feedback; Funding; Future; Health; Health Personnel; Health Services Research; Health Status; Healthcare; Helping Behavior; Home environment; Hospitals; Institutional Review Boards; Lead; Marketing; Measures; Medical; Mental Depression; Mental Health; Mental disorders; Modeling; Monitor; Outcome; Patient Monitoring; Patient Self-Report; Patients; Pattern; Phase; Pilot Projects; Population; Preparation; Primary Health Care; Privacy; Protocols documentation; Provider; Public Health; Recommendation; Research; Research Personnel; Running; Signal Transduction; Stream; System; Technology; Time; Training; Treatment outcome; Validation; Woman; behavior measurement; behavioral health; commercialization; cost; design; economic cost; engineering design; flexibility; health data; improved; mental state; novel; patient oriented; predictive modeling; programs; self help; sensor; social; success; tool; treatment adherence; trend

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. Clinicians and researchers are currently faced with the difficult task of inferrig patient behavior and treatment adherence between clinic visits through self-report and historical behavior. Cogito's mobile sensing platform "Cogito Companion" objectively measures behavioral patterns via mobile phone sensors and uses these patterns as inputs to predictive models, trained against clinical outcomes. The models predict mental states, such as components of depression, distress, and anxiety. These predictions can then be presented to patients via their mobile phone and clinicians via a clinical dashboard. Monitoring, analyzing, and visualizing changes in quasi-real time allow clinicians a new window into understanding patient behavior. The storage, aggregation and analysis of these novel signals across groups allows for results providing powerful, generalizable, population-level information. This Phase II project will include a clinical trial validating the efficacy of the technology in a patient-centerd medical home with patients who have comorbid behavioral health conditions. Through implementation of this technology into the workflow of an integrated behavioral health program, results will be gathered on the efficacy of the technology as evaluated by the impact on provider workflow, treatment outcome, patient outcome, self-help behaviors, clinical research, and the upward trend in costs. This validation will lead to a successful Phase III commercialization of the technology.

描述（由申请人提供）：精神健康障碍在我国和世界各地造成了非常高的个人、社会和经济成本，构成了一个重大的公共卫生挑战。临床医生和研究人员目前面临着通过自我报告和历史行为推断患者行为和诊所访问之间的治疗依从性的困难任务。Cogito的移动的传感平台“Cogito Companion”通过移动的手机传感器客观地测量行为模式，并将这些模式作为预测模型的输入，根据临床结果进行训练。这些模型预测心理状态，如抑郁、痛苦和焦虑的组成部分。然后，这些预测可以通过患者的移动的电话呈现给患者，并通过临床仪表板呈现给临床医生。准实时监测、分析和可视化变化为临床医生了解患者行为提供了一个新的窗口。这些新信号的跨组存储、聚合和分析允许结果提供强大的、可推广的、群体水平的信息。该第二阶段项目将包括一项临床试验，验证该技术在以患者为中心的医疗之家中对患有共病行为健康状况的患者的疗效。通过将该技术实施到综合行为健康计划的工作流程中，将收集该技术的有效性结果，并通过对提供者工作流程、治疗结果、患者结果、自助行为、临床研究和成本上升趋势的影响进行评估。这一验证将导致成功的第三阶段商业化， 技术.