Integrated Sensor-Enhanced Health Information System for Consumer, Clinical an

该提案是在小企业创新研究(SBIR)快速通道程序下提交的。在2014年9月结束的第一阶段，主要目的是为许多不同的健康状况开发一个传感器增强的健康信息系统，包括预防和管理癌症等慢性疾病。在第二阶段，Vignet将把几种创新技术和方法结合成一个全面的、集成的、端到端的传感器增强型交付成果。 在第二阶段，Vignet正在利用“支持的自我管理”(SSM)，并将与匹兹堡大学医学中心合作，为许多不同的健康环境开发一种商业就绪、安全、符合HIPAA标准、可扩展的传感器增强型健康信息系统，包括预防和管理慢性病、行为健康问题和药物滥用。这一以患者为中心的系统将利用许多现有的Vignet技术，将可穿戴式无线传感器、手机、移动消息、网络技术、基于云的服务器平台和各种自我报告方法整合到一个集成产品中。该系统将包括几种基于证据的方法，在可扩展、安全的云服务器中收集客观和自我报告的EMA数据，实时数据透明，可定制的数据可视化，以及患者、照顾者和亲人的参与。提供者和研究人员经常治疗患有复杂合并症、多种药物以及各种身体、认知和情感症状的患者。这个传感器增强的系统将为决策提供信息，并产生有价值的见解。然后，数据可视化和分析工具可以将多变量数据集转换为知识和见解。这一安全系统预计将通过提高护理质量并使患者能够更好地控制自己的健康，从而使消费者健康、临床护理和研究受益。

This proposal was submitted under the Small Business Innovative Research (SBIR) Fast-track process. In Phase I, that concluded in September, 2014, the primary purpose was to develop a sensor-enhanced health information system for many different health contexts including prevention and management of chronic diseases such as cancers. In Phase II, Vignet will combine several innovative technologies and methods into a comprehensive, integrated, end-to-end sensor-enhanced deliverable. In Phase II, Vignet is utilizing "Supported Self Management" (SSM) and will partner with the University of Pittsburgh Medical Center in developing a commercial-ready, secure, HIPAA compliant, scalable sensor-enhanced health information system for many different health contexts including prevention and management of chronic diseases, behavioral health issues and substance abuse. This patient-centered system will utilize many existing Vignet technologies to combine wearable wireless sensors, mobile phones, mobile messaging, web technologies, cloud-based server platforms and various self-reported methods into an integrated product. This system will include several evidence-based methods of objective and self-reported EMA data collection in a scalable, secure cloud server, real-time data transparency, customizable data visualizations and engagement of patients, caregivers and loved ones. Providers and researchers frequently treat patients with complex co-morbidities, multiple medications, and a wide array of physical, cognitive and emotional symptoms. This sensor-enhanced system will inform decisions and generate valuable insights. Data visualizations and analytical tools can then transform the multi-variable datasets into knowledge and insights. This secure system is expected to benefit consumer health, clinical care and research by improving the quality of care and empowering patients to take more control over their own health.