KEYWORDS: Equipment, Packaging, Information visualization, Quality systems, Visualization, Statistical analysis, Internet of things, Data visualization, Safety, Process control
This paper proposes a stable, deployable, and user-friendly management system that integrates data visualization and RFID-based Internet of Things (IoT) technologies to optimize the workflow of the Central Sterile Supply Department (CSSD) and achieve more scientific information management. The implementation of the CSSD management system optimizes the workflow of sterile item supply, improves the level of hospital intelligent management and medical safety services.
The application of Internet of Things (IoT) technology promotes refined management in various fields. This paper proposes an IoT-based medical waste management and tracking system to implement closed-loop digital management of medical waste throughout its entire life cycle, from generation, transportation, storage to disposal. The system visualizes key stages of medical waste collection, storage, and transportation across multiple hospital campuses, enabling real-time data transmission and traceability. This unified and standardized digital management process improves the overall operational efficiency and homogeneity of medical waste management across multiple campuses, facilitating resource optimization and enhancing service quality and management level. Ultimately, the system aims to better serve patients.
In recent years, with the continuous expansion of hospital scale and the development of technology, the demand for intelligent logistics in hospitals has become increasingly urgent, especially in operating rooms, efficient consumable logistics can make the surgical process smoother, more efficient and safer. This paper selects Shenzhen People's Hospital as the experimental site, and selects the operating room consumable logistics data from November 2021 to March 2022, comparing the average logistics distribution time of surgical consumables under three modes: manual delivery, single robot delivery, and multi-robot collaborative delivery. The experiment shows that the average time of using multi-robot collaborative distribution is 2.7 minutes/time, compared with manual distribution, the efficiency has increased by almost 100%.
KEYWORDS: Data storage, Information technology, Data modeling, Document management, Intelligence systems, Information security, Data communications, Telecommunications, Biomedical applications, Surgery
To investigate the application effects and value of the refined management system for hospital consumables based on collaborative design of software and hardware, we selected the consumable management data from Shenzhen People's Hospital and divided the management modes into traditional and informatized ones. Through a comparative analysis of order confirmation time, inventory counting time, warehouse expenses, and other aspects, we aim to demonstrate that the refined management system for medical consumables significantly improves the quality and efficiency of hospital consumable management, enhancing the management benefits, social benefits, and economic benefits of medical institutions
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