Objective To investigate the development of the digital wireless network billing system of oxygen flow in clinical application. Methods By random 220 cases of patients who need to absorb oxygen were divided into the observation group(108 cases)and the control group(112 cases), the observation group used the digital wireless network billing system of oxygen flow, and the control group adopted the traditional buoy type oxygen gauge instrument. The following items were compared between the two groups: dispute rates between nurses and patients for different amount of absorbed oxygen, the average time cost for nurses in measuring the duration of oxygen absorbing, total income per barrel for recycling oxygen. Results For the dispute rates between nurses and patients for different amount of absorbed oxygen were 0.93% in the observation group, and 75.89% in the control group. The average time cost for nurses in measuring the duration of oxygen absorbing was 2.03 minutes for the observation group, and 12.54 minutes for the control group; total income per barrel for recycling oxygen was 42.68 yuan per barrel of the observation group, and 28.23 yuan in the control group. The statistical analysis between the two groups was supported by 95% confidential level. Conclusions Using the digital wireless network billing system of oxygen flow in clinical can reduce the dispute rates between the nurses and patients, improve patients' satisfaction degree, reduce the total time cost for nurses in measuring the duration of oxygen absorbing, raise efficiency, build a clear scientific charge system of oxygen flow, and restore economic loss.

OBJECTIVETo meet the needs of clinical practice of rescuing critical illness and develop the information management system of the emergency medicine.

METHODSMicrosoft Visual FoxPro, which is one of Microsoft's visual programming tool, is used to develop computer-aided system included the information management system of the emergency medicine.

RESULTSThe system mainly consists of the module of statistic analysis, the module of quality control of emergency rescue, the module of flow path of emergency rescue, the module of nursing care in emergency rescue, and the module of rescue training. It can realize the system management of emergency medicine and,process and analyze the emergency statistical data.

CONCLUSIONSThis system is practical. It can optimize emergency clinical pathway, and meet the needs of clinical rescue.

Critical Pathways ; organization & administration ; Emergency Service, Hospital ; organization & administration ; Hospital Information Systems ; organization & administration ; Software Design

Objective:To investigate the clinical value of conventional ultrasound combined with automated breast volume scanner (ABVS) in predicting axillary lymph node metastasis (ALNM) of patients with invasive ductal carcinoma.Methods:A retrospective analysis was performed in 96 patients in the General Hospital of Eastern Theater Command from January 2014 to December 2020. All patients were examined by conventional ultrasound and ABVS before treatment. The patients were divided into the ALNM group and non-axillary lymph node metastasis (N-ALNM) group according to the postoperative pathological results. The differences of ultrasound parameters between the two groups were compared, and Logistic regression was used to analyze the independent predictive factors of ALNM. The ROC curve was plotted to evaluate the diagnostic efficacy for ALNM.Results:Compared with the N-ALNM group, the ALNM group had the characteristics of larger long diameters, unclear boundary, uneven internal echo, Adler blood flow grade Ⅱ-Ⅲ and retraction phenomenon (all P<0.05). Logistic regression analysis showed that the long diameter, uneven internal echo, and retraction phenomenon were independent predictors of ALNM ( OR=1.051, 4.055, 3.493, all P<0.05). The area under curve of ALNM was 0.752(0.653-0.834), the sensitivity and specificity were 54.7% and 83.7%, respectively. Conclusions:The long diameter, uneven internal echo, and retraction phenomenon measured by conventional ultrasound and ABVS are independent predictors of ALNM. The combination of the three can provide imaging references for the evaluation of ALNM of breast cancer.