AI-Big Data-Mobile System Development of Measuring Nursing Workloads using Wearable device and Real Time Location Information

Abstract

Abstract Purpose: The purpose of this work was to develop an AI-Big Data-Mobile system for measuring nursing workloads and nurses’ physiological responses to work using wearable device and beacon. Methods: This was a study of technological development, the IoT-Big data-Mobile system measuring nursing workloads and physiological responses to work using the real-time location information. Results: The overall system consists of four components, which are data generation devices, nurses’ devices, servers, and database. The location and health data generated from beacons and wearable devices are stored in nurses’ smart phones. Then, the data are transmitted from the user to the server and is stored in database of the server. The location data is collected from multiple beacons if smart devices of nurses are in the proximity of the beacons. The health data on iOS can be accessed via HealthKit, which is the framework that allows the access and share of nurses' health and fitness data on devices. We use the Apple Watch paired with an iPhone and the data is automatically synchronized with the associated iPhone. For data transmission, we adopt the socket communication to transmit data to the server, as it can support real-time, bidirectional, and event-based communication. Conclusion: Throughout this system developed, objective quantification of nursing workloads by the time and nursing space might be realized. Furthermore, based on data of accurate nursing workloads by types of hospital, department, and work-shift, the prediction model of nursing workloads could be developed with big data and Artificial Intelligence (AI). The appropriate arrangement of nursing workforce is a key prerequisite for the high-quality nursing care. The system developed in this study would be able to estimate nursing workforce needed to provide the optimum nursing services based on the scientific and objective data and inferences on workforce.