Adaptive Dissemination for Mobile Electronic Health Record Applications with Proactive Situational Awareness

Bring Your Own Device (BYOD) has been an emerging trend in the enterprise, including the healthcare domain. However, efficient and personalized content delivery for data intensive applications remains a technical challenge. In this work, we explore a mobile electronic health record (EHR) web application for general practitioners (GPs) on the road for patient visits. Keeping all the health records up to date on a tablet is impossible due to resource constraints of the device, and dynamic planning of home visits. We therefore investigate how to deliver the right information at the right time under variable connectivity and limited resource availability. We present a flexible framework that capitalizes on situational awareness for proactive and adaptive content delivery to mobile applications. It leverages distributed probabilistic models and dynamic decision networks to improve the overall user experience with better on-device resource utilization. The added value is that it lifts the burden from the GP to customize and personalize the application by learning data consumption patterns in different contexts. Compared to baseline scenarios for this particular use case, our framework shows an improvement in the precision and recall with an acceptable runtime overhead for memory and CPU.