Topic 412: Wearable Health Informatics Platform for Extensible Research (WHISPER) Phase I

有一个越来越多的趋势，对门诊研究和病人评估使用 被动、连续测量的数据流，用于测量癌症和症状进展 直接和间接的。这一趋势已经开始纳入越来越多的 健身追踪器之外的可穿戴设备，可以提供易于使用的措施， 临床上有用。然而，数据采集的进步必须伴随着可扩展的 信息学工具，允许跨设备进行数据聚合和集成， 基于人口的统计数据将依赖于多个设备来衡量 背景和生理学（例如，运动，血糖监测，睡眠跟踪），但 将它们集成是不平凡的。我们提出了一个可穿戴的信息学工具，满足 以下技术目标：1）摄取和整合从多个 设备和个人之间; 2）安全、隐私和符合HIPAA的数据 传输、存储和检索;（3）用于查询、分析和 可视化患者数据。我们的可穿戴信息平台旨在促进大规模 使用可穿戴技术进行人口研究，以促进癌症研究和改善 癌症人群的健康状况。

There is an increasing trend toward out-of-clinic research and patient assessment using passive, continuously measured data streams to measure cancer and symptom progression directly and indirectly. This trend has begun incorporating a growing number of wearables beyond fitness trackers, which can provide easy to use measures that are clinically useful. However progress in data acquisition must be accompanied by scalable informatics tools that allow for data aggregation and integration across devices and manufacturers, Population-based statistics will rely on multiple devices to measure context and physiology (e.g., exercise, glucose monitoring, sleep tracking), but integrating them is non-trivial. We propose a wearable informatics tool that satisfies the following technical goals: 1) Ingestion and integration of data acquired from multiple devices and across individuals; 2) Secure, privacy, and HIPAA compliant data transmission, storage, and retrieval; (3) informatics tools for querying, analyzing, and visualizing patient data. Our wearable informatics platform aims to facilitate large scale population studies using wearable technology to promote cancer research and improve health outcomes in cancer populations.