Abstract
This study was aimed at exploring the new management mode of medical information processing and emergency first aid nursing management under the new artificial intelligence technology. This study will use the artificial intelligence algorithm to optimize medical information processing and emergency first aid nursing management process, in order to improve the efficiency of emergency department and first aid efficiency. The successful rescue rates of hemorrhagic shock, coma, dyspnea, and more than three organs injury were 96.7%, 92.5%, 93.7%, and 87.2%, respectively, after the emergency first aid nursing mode was used in the hospital emergency center. The success rates of first aid within three years were compared, which were 91.8%, 93.4%, and 94.2%, respectively, showing an increasing trend year by year. 255 emergency patients in five batches in June and five batches in July were selected as the research objects by convenience sampling method. Among them, 116 cases in June were taken as the experimental group, and 139 cases in July were taken as the control group, which was used to verify the efficiency of the design model in this study. The results showed that the triage time of the two groups was 8.16 ± 2.07 min and 19.21 ± 6.36 min, respectively, and the difference was statistically significant (P < 0.01). The triage coincidence rates were 96.35% and 90.04%, respectively, and the difference was statistically significant (P < 0.05). The research proved that the design of intelligent medical information processing and emergency first aid nursing management research model can effectively improve the triage efficiency of the wounded, assist the efficiency of emergency nursing of medical staff, and improve the survival rate of emergency patients, which is worthy of clinical promotion.
Highlights
Emergency treatment is an important consulting room independent of other departments of the hospital
Integrated Medical Information Processing and Emergency First Aid Nursing Management Process Based on Artificial Intelligence
The following chart is the construction process of the integrated medical information processing and emergency first aid nursing management system based on artificial intelligence (Figure 4)
Summary
Emergency treatment is an important consulting room independent of other departments of the hospital. It undertakes the emergency diagnosis and treatment of all diseases, regardless of the patient’s individual situation, and regardless of time and place. It is important to ensure the safety of people’s lives [1]. According to relevant incomplete statistics, the total number of emergency patients in China’s top 100 hospitals in 2019 was 351 million, accounting for onetenth of the total number of 34,354 registered hospitals, that is, in 2019, the number of emergency patients in national registered hospitals reached 3.5 billion, and the data showed an increasing trend year by year [2]. The majority of first aid can save lives if people are effectively treated within 10 minutes to one hour. Effective diversion and diagnosis and treatment optimization of emergency patients are inevitable requirement for the development of emergency department [3–5]
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