ABSTRACT
Objective: This study aims to investigate the practical application of "Internet + technology" leveraging medical big data to enhance the development of a smart hospital platform. Specifically, the focus is on optimizing patient care processes, refining medical data management systems, and enhancing operational efficiency within the hospital setting. Methods: With the help of traditional Internet and mobile Internet technology, we analyzed the patient behavior big data accumulated in our hospital for many years, simplified the diagnosis and treatment links, refined the service connotation, and improved patient satisfaction before, during and after diagnosis; With the help of barcode, RFID and 5G networks, the links that are easy to produce medical security incidents can be monitored to improve medical quality, such as digital operating room system, establishment of multidisciplinary consultation center (MDT), electronic medical record system based on digital signature, etc.; Integrate the existing data of human resources, equipment and consumables, drugs, general supplies and finance, establish the hospital ERP system, introduce BI, and realize the dynamic monitoring of revenue and cost; Artificial intelligence technologies such as natural language processing (NLP) and machine learning are used to extract, clean, transform and analyze a large number of hospital medical information data to form a medical data platform, which can assist the hospital knowledge base to be applied in diagnosis and treatment, clinical research, clinical medicine, clinical medicine and other fields. The effectiveness of these technologies was assessed through a comprehensive analysis of their impact on patient care processes, medical data management, and overall operational efficiency within the hospital setting. Results: The study yielded significant outcomes across three critical domains. Firstly, in patient care, the implementation of expanded mobile medical services, mobile applications for records and rounds, and the establishment of digital signature-based records and intelligent surgical assistance enhanced accessibility and quality of care. Secondly, operational efficiency was notably improved through the integration of ERP and BI systems, streamlining resource management and surgical procedures. Lastly, advancements in data management, including the development of a medical data platform and the deployment of AI technologies, facilitated efficient analysis and utilization of clinical data. Quantitatively, reductions in patient visit time and medical costs were observed, alongside improved diagnostic accuracy facilitated by comprehensive records. These findings collectively underscore the transformative impact of "Internet + technology" integration on hospital operations and patient outcomes. Conclusion: The integration of "Internet + technology" in a smart hospital setting has demonstrated numerous benefits. This study has revealed novel findings regarding the tangible improvements in patient outcomes and hospital efficiency resulting from technology integration. Specifically, the implementation of mobile medical services, digital records, and AI-driven systems has led to significant reductions in patient visit times and medical costs. Moreover, the streamlining of operational processes through ERP and BI systems has enhanced resource management and surgical procedures. These findings underscore the transformative potential of technology in revolutionizing healthcare delivery, ultimately leading to better patient care and operational effectiveness in smart hospital environments.
ABSTRACT
Hanjiang River is closely related to the middle route of the South-to-North Water Diversion Project, the Water Diversion Project from the Hanjiang River to the Wei River, and the Water Diversion Project in Northern Hubei. The Wuhan Hanjiang River water source is one of the important drinking water sources in China; its water quality safety is significant to living and production for millions of residents in Wuhan. Based on data from 2004 to 2021, the water quality variation trend and risk of Wuhan Hanjiang River water source were studied. The results showed that a certain gap existed between the concentrations of some pollutants such as total phosphorus, permanganate index, ammonia nitrogen, and correspondent water quality target, especially for the total phosphorus. The growth of algae in the water source was marginally limited by the concentrations of nitrogen, phosphorus, and silicon. When other factors remained unchanged, diatoms tended to grow rapidly when the water temperature was appropriate (6-12â). The quality of water upstream had a great impact on the water quality of the Hanjiang water source. There may have been pollutants entering into the reach during the West Lake Water Plant and Zongguan Water Plant. There were differences in the temporal and spatial variation trend of concentrations between permanganate index, total nitrogen, total phosphorus, and ammonia nitrogen. Significant changes in the ratio of nitrogen and phosphorus in the water body will affect the population structure and quantity of planktonic algae and ultimately affect the safety of water quality. The water body in the water source area was generally in the state of medium nutrition to mild eutrophication, and middle eutrophication may have occurred in a few periods. In recent years, the nutritional level of the water source has been on the decline. It is necessary to make an in-depth investigation on the source, quantity, and change trend of pollutants in water sources in order to eliminate potential risks.