Objective:To design a health state holographic perceptual intelligence operation and maintenance system,and to explore the application effect in medical equipment management of infectious disease department.Methods:The holographic perception intelligent operation and maintenance system of health status of medical equipment in the infectious disease department was built by the perception layer,transmission layer and application layer to realize the automatic alarm,active protection and real-time monitoring functions of equipment management.A total of 119 medical devices in clinical use in the Department of Infectious Diseases of The Second Affiliated Hospital of Air Force Medical University from 2021 to 2022 were selected,according to different management methods,during the equipment operation and maintenance period in 2021,the conventional medical equipment(referred to as the conventional management mode)management mode was adopted;during the equipment operation and maintenance period in 2022,the holographic perception intelligent operation and maintenance system of medical equipment health status(referred to as the intelligent operation and maintenance management mode)was adopted.The differences in the safety score,maintenance status,and ability score of equipment users between the two management modes were compared.Results:The average scores of electrical safety,biological safety,radiation safety,damage safety,diagnosis and treatment safety of medical equipment using the intelligent operation and maintenance management mode were(0.47±0.21),(0.63±0.15),(1.38±0.11),(0.83±0.34)and(0.94±0.27),respectively,which were lower than those of the conventional management mode,and the difference was statistically significant(Department of Infectious Diseases;Medical equipment;Health status;Holographic sensing;Intelligent operation and maintenance=20.609,24.003,27.127,25.135,30.762,P＜0.05).The equipment failure maintenance rate,maintenance processing time and arrival time of equipment accessories using the intelligent operation and maintenance management mode were(85.41±3.37)%,(0.77±0.14)h and(3.29±0.58)d,respectively,which were lower than those of the conventional management mode,while the average score of equipment maintenance service quality was(95.36±5.13)points,which was higher than that of the equipment score of the conventional management mode,and the differences were statistically significant(t=16.638,25.569,29.333,18.499,P＜0.05).The average scores of equipment users with respect to the sense of responsibility for using the equipment,the ability to correctly operate the equipment,the effect of responding to equipment,the ability to give an accurate and timely alarm and other operating abilities with the intelligent operation and maintenance management mode were(97.48±5.66),(91.53±4.28),(93.37±5.12)and(95.62±4.93),respectively,which were higher than the scores of conventional management mode,and the difference was statistically significant(t=10.948,17.171,6.058,7.276,P＜0.05).Conclusion:The holographic perception intelligent operation and maintenance system of medical equipment health status in the Department of Infectious Diseases can improve the quality of medical equipment management,prevent equipment failures,reduce equipment maintenance,and improve the quality of equipment services.

Objective To investigate the surgical operation incision infection risk factors and nursing countermeasure. Methods From 2010 January to 2014 January in our hospital, selected 120 cases hospitalized in department of general surgery, clinical data of patients were completed, the incision infection rate used χ2test for univariate analysis, and used nonconditional Logistic for multivariate regression analysis, and the corresponding nursing measures for the relevant factors. Results A total of 120 cases were selected, a total of 11 cases of incision occurred hospital infection, infection rate was 9.17%. Age, basic disease, operation time, incision type, length of hospital stay, length of incision, incision drainage and surgical incision infection closely related (P<0.05). Above the age of 60 years (OR=6.384), had basic dis-eases (OR=5.237), operation time ≥3 h (OR=4.726), incision type Ⅲ (OR=7.153) were the risk factors for surgical op-eration incision infection. Conclusion Age, basic disease, operation time, incision type, length of hospital stay, length of incision, incision and drainage is closely related with infection in surgical operation, including older than 60 years old, have basic diseases, operation time, incision type class Ⅲ≥3 h are the risk factors for surgical operation incision infection. Surgical operation incision infection directly affects the operation quality and patient's living standards, the nursing staff should clear the risk factors causing infection of incision, at the same time take care by effective inter-vention measures on the risk factors of infection of incision surgical operation, to reduce the incidence of operation in-cision infection, so as to promote the recovery of disease.