Hospital patient management system
I. Patient Management System Overview
The application scenario of this Patient Management system is a hospital. It aims to enhance patient safety and the quality of care by utilizing advanced positioning technologies and communication means to manage the location and health of patients and caregivers.
II. System Architecture
(1) Caregiver Smart GPS Watch
Positioning Module: The watch is equipped with a high-precision GPS/BDS module for accurate positioning outside the hospital building. Bluetooth beacons or Wi-Fi beacons are deployed inside the hospital. When caregivers enter the building and GPS signals are limited, the watch interacts with the pre-installed beacons to achieve high-precision indoor positioning.
Communication Module: The watch integrates a 4G module and a Wi-Fi module. When caregivers are inside the building and 4G signals are weak, it communicate by Wi-Fi to ensure seamless data transmission.
Data Acquisition and Processing: The watch is equipped with various sensors, including a gyroscope, heart rate sensor, barometer, and thermometer. These sensors continuously collect caregivers’ movement status and physiological data to monitor their safety and health. The watch supports SDK secondary development, allowing customization of physical button functions, watch face and boot animation resources, and online OTA upgrade services.
(2) Patient Call Device
The Patient Management system provides patients with call devices that include a call button, speaker, and microphone. Optionally, they can be equipped with a camera and screen. These devices communicate with the backend server via 4G mobile communication networks and/or Wi-Fi. When a patient presses the call button, the device sends an SOS signal to the backend server and plays a call ringtone to alert nearby medical staff. Patients can also use the device to send voice or video messages, which are transmitted to the backend server and then forwarded to the corresponding caregivers’ smart watches. If equipped with a camera, patients can make voice or video calls to communicate directly with caregivers and medical staff in real-time.
(3) Traxbean Patient Management Software
Traxbean Patient Management software can be deployed on a private server as specified. It receives data from the smart positioning watches through TCP or MQTT protocols. The software features an intuitive visualization monitoring interface that displays the real-time location distribution of patients’ beds, caregivers’ positions, and movement trajectories in a map format. The system can set safety rules and alert thresholds, such as caregivers entering hazardous areas or abnormal vital signs. Once an alert condition is triggered, the system immediately sends alarms to managers via sound and light alerts, SMS notifications, and email notifications to take timely action.
The backend positioning software also has AI-based multimedia data dissemination capabilities. Medical staff can send multimedia data, including images, text, and multilingual voice messages, to the smart positioning watches. Voice messages are automatically adapted to the caregivers’ native languages to provide differentiated notifications for caregivers of different languages and ethnicities.
The Patient Management system also includes task assignment and patrol check-in functions. Different nursing tasks can be assigned to each caregiver’s watch. Caregivers can report task completion through the watch. Managers can set patrol check-in plans through the system. The watch will set reminder times according to the schedule. Caregivers need to complete patient patrols and on-site check-ins according to the reminder times. They can confirm the completion of the patrol on the watch interface, upload check-in photos, or even upload check-in videos.
The system is integrated with an AI-based occupational health management system, featuring functions such as employee health management and pre-shift meeting screening and early warning. By using the caregiver smart positioning watch and various health monitoring sensors, the system continuously monitors caregivers’ physiological data, such as heart rate, blood pressure, and body temperature. It assesses their health status based on their working environment and tasks. If abnormal data is detected, the system will issue a timely warning and suggest that caregivers take a rest or seek medical attention.
The software supports private deployment and can be integrated with third-party health management platforms via API.
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