Gateways and wearable tools for monitoring patient movements in a hospital environment

In increasingly technological and connected health, medicine adapts to the changes, benefiting from them and applying the most innovative technologies to make the healthcare system increasingly efficient and effective. This research aims to track patient movement throughout the hospital departments using widely accessible technology integrated with cutting-edge algorithms. With the increasing number of patients with varying levels of urgency in hospitals, it is vital to incorporate green technology that assists hospitals in controlling patient flow. The research aims to create a real-time system that lowers the cost of utilizing an Indoor Positioning System (IPS) by giving multiple platforms that allow consumers to choose based on their preferences. In addition to purely managerial ones, the implications could also affect fragile patients requiring continuous monitoring (patients with Alzheimer, dementia, children, etc.). In this study, we did not go into these aspects, but it is a work that concerns the management of patients and the optimization of hospital management purely. A report is a component that is taken into account. First, we implement an IPS for patients and, the healthcare professional can view the patients’ real-time location by using a powerful dashboard that includes all of the necessary parts. Meanwhile, they may utilize Telegram Bot, which is entirely free, and instead of entering tag ID, they can send a photo of the tag’s QR code. The system’s availability is a significant feature; the complete system is still running in the Telegram Bot if the dashboard server is down. Another point is finding the hospital’s departments with the system completely independent of GPS. In this case, anytime a user selects a building as the desired destination, all of the information is recorded and stored; after a while, the statistical report is made available to identify the most frequently visited departments. Data analysis is developed that may result in a beneficial influence on the smart hospital. This study aims to have a strong impact on hospital management. It will be possible to optimize the personnel orientation according to the department’s population. Still, it will also be possible to avoid the overcrowding of hospital areas, a fundamental point in recent years due to the health emergency.