Scope and Method of Study: The general scope of our work is to propose an architecture to integrate the healthcare cloud with wireless sensor network (WSN) technology through smart phones. This will enable monitoring patient health wirelessly with the smart phone devices providing real-time updates of patient's health via the cloud to doctors and other medical professionals. To achieve this, we propose a filter system on a smart phone running different healthcare apps which monitor and record the patient's vital signs.;Findings and Conclusions: The proposed system model is simulated by creating an EMR system for a hospital using Java Spring web services and deploying it on Cloud foundry, a Platform as a Service (PaaS) environment. The proposed filter system is simulated using the filter app running on the android emulator sending alert SMS to another emulator instance on detection of abnormal patient health data. A priority ranking algorithm for finding the list of doctors to whom the abnormal data is to be sent, is proposed and implemented using Java 1.6 on Eclipse IDE.
展开▼
机译：研究范围和研究方法：我们的总体工作范围是提出一种体系结构，以通过智能手机将医疗保健云与无线传感器网络（WSN）技术集成在一起。这将使智能手机设备能够无线监控患者的健康状况，并通过云向医生和其他医疗专业人员实时更新患者的健康状况。为了实现这一目标，我们在运行不同医疗保健应用程序的智能手机上提出了一个过滤器系统，该系统可以监视和记录患者的生命体征。结论和结论：通过使用Java Spring Web服务为医院创建EMR系统来模拟所提出的系统模型并将其部署在平台平台即服务（PaaS）环境Cloud Foundry上。所提出的过滤器系统是使用运行在android仿真器上的filter应用程序进行仿真的，该应用程序会在检测到异常患者健康数据时将警报SMS发送到另一个仿真器实例。在Eclipse IDE上使用Java 1.6提出并实现了一种优先级排序算法，该算法用于查找要向其发送异常数据的医生名单。
展开▼
