Abstract
The PDCA cycle, also known as Deming's cycle, mainly includes four stages: planning, implementation, inspection, and processing. As a kind of atypical pneumonia with fever and cough, mycoplasma pneumonia harms the health of many children. The purpose of this study is to investigate the anti-inflammatory and antimycoplasma effects and safety of artificial intelligence e-health PDCA nursing mode on pediatric MPP, to investigate its clinical efficacy, to observe the changes of serum cytokines (IL-10, IL-2, IL-4, IFN-γ), and to explore the mechanism of action and possible targets for the treatment of MPP, to provide a new basis for clinical treatment of MPP. The experimental results show that in the experimental group using PDCA nursing mode, the total satisfaction is 97.22%, higher than the control group of 94.44%; in the experimental group, the hospital stay and symptom disappearance time were significantly shortened by four hours. The satisfaction of nursing staff was significantly increased in statistical significance (P < 0.05). Therefore, in a statistical sense, the artificial intelligence e-health PDCA nursing mode can significantly improve the clinical symptoms of MPP children with wind-heat stagnation of lung syndrome and phlegm-heat closure of lung syndrome, improve the treatment effect of childhood mycoplasma pneumonia epidemic, shorten the time of hospitalization and symptom disappeared, and play a great auxiliary role in the treatment of childhood mycoplasma pneumonia.
Highlights
IntroductionE main cause of the disease is the infection of pathogenic mycoplasma pneumoniae (MP)
Mycoplasma pneumonia (MPP) is a kind of atypical pneumonia with fever, severe irritant dry cough, and mild pulmonary signs. e main cause of the disease is the infection of pathogenic mycoplasma pneumoniae (MP)
Mycoplasma pneumonia is a very common disease that harms the health of children
Summary
E main cause of the disease is the infection of pathogenic mycoplasma pneumoniae (MP). Studies have shown that the incidence of MPP has increased significantly, and it is even the primary pathogen in some age stages, accounting for about 30% of CAP, and the onset age tends to be younger. With the widespread use of antibiotics, the drug resistance rate of MP varies from 3.6% to 36.4%, showing an increasing trend. E drug resistance rate of MPP children varies greatly in specific regions due to the influence of regional, climate, and other factors. The long-term and widespread application of antibiotics is prone to various problems such as drug resistance of superbacteria, loss of regulation of bacterial community, and double opportunistic infection
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