As an emerging cross subject in the information era, medical informatics has come into being due to the wide application of modern information science and computer technologies in medical sciences.Although great suc-cesses have been achieved in its education and research both in China and foreign countries, there are a number of problems that need to be solved in its new development environment.In this paper, the education of medical infor-matics in China in the past 10 years was reviewed and its achievements in Central South University were summarized with suggestions put forward for its future development.

Objective To investigate the methods and application effectiveness of micro-lecture in the clinical nursing specialty courses.Methods The micro-video was empoldered with camera tool to record,record the screen software production,PPT directly method,etc.The micro-video was applied in teaching practice of clinical nursing specialty courses.Seven class students in 2013 in Nursing of Guangxi Medical University were selected as teaching object randomly and were divided into the experimental group and the control group with 49 cases cach.The experimental group was used micro-lecture aided teaching,the control group was used traditional teaching.After the class,the teaching effect was evaluated by the examination,clinical probation appraisal and evaluation questionnaire of the experimental group students.The data were statistically analyzed by SPSS 11.5.Results The results of theory examination in the experimental group was (87.20 ± 6.50) scores and in the control group was (75.30 ± 7.89) scores,there was significant difference,t=3.20,P ＜ 0.01.The qualified result of clinical probation appraisal in the experimental group was 93.88％ (46/49),and in the control group was 81.63％(40/49),there was significant difference,x2=6.712,P＜ 0.01.The teaching satisfaction of micro-lecture in the experimental group was better.Conclusion The microlecture which based on the micro video as the main carrier used in teaching can effectively improve the effect of teaching,and is a valuable teaching method as a supplementary of the traditional teaching.

Objective To investigate the correlation between IL‐6 ,hs‐CRP and blood lipids ,blood glucose in type 2 diabetes mel‐litus(T2DM) patients complicated with coronary heart disease .Methods 64 outpatients first diagnosed T2DM complicated with coronary heart disease were selected ,56 T2DM patients and 58 health examination were as compare from 2014 January to November in my courtyard .Interleukin‐6(IL‐6) ,high sensitivity C reactive protein(hs‐CRP) and total cholesterol(TC) ,low density lipopro‐tein‐C(LDL‐C) ,blood glucose and HbA1c were detected in 3 groups of person .Results T2DM group and T2DM complicated with coronary heart disease with fasting glucose ,HbA1c ,TC and LDL‐C was significantly higher than normal group ,the difference was statistically significant(P<0 .05);The level of IL‐6 ,hs‐CRP in patients T2DM with coronary heart disease complicated was signifi‐cantly higher than that of T2DM group ,and T2DM group was higher than that of healthy group ,the differences were statistically significant(P<0 .05) .Conclusion IL‐6 and hs‐CRP can be as a specific index to predict the disease process of T2DM complicated with coronary heart disease .

Objective:To explore the microbiological and disease distribution characteristics of multidrug-resistant bacteria in patients hospitalized in a critical care rehabilitation ward, and to analyze the risk factors leading to multidrug-resistant bacterial infections.Methods:Microbiology screening data describing 679 patients admitted to a critical care rehabilitation ward were retrospectively analyzed to divide the subjects into a multidrug-resistant group (positive for multidrug-resistant bacterial infections, n=166) and a non-multidrug-resistant group (negative for multidrug-resistant bacterial infections, n=513). The risk factors were then analyzed using logistic regression. Results:Among 369 strains of multidrug-resistant bacteria observed, 329 were gram-negative bacteria (89.2%), mainly Pseudomonas aeruginosa, Klebsiella pneumoniae and Escherichia coli. They were distributed in sputum (56.9%) and mid-epidemic urine (28.2%) specimens. Patients whose primary disease was hemorrhagic or ischemic cerebrovascular disease accounted for 40.96% and 23.49% of the multidrug-resistant bacterial infections, respectively. Logistic regression analysis showed that albumin level, dependence on mechanical ventilation, central venous cannulation, or an indwelling urinary catheter or cystostomy tube were significant independent predictors of such infections.Conclusion:The multidrug-resistant bacterial infections of patients admitted to the critically ill rehabilitation unit are mainly caused by gram-negative bacteria. Their occurrence is closely related to low albumin levels and mechanical ventilation, as well as to bearing an indwelling central venous catheter, a urinary catheter or a cystostomy catheter.

Objective:To explore the influencing factors of instrument and equipment alarm fatigue risk of nurses in pediatric intensive care unit (ICU) , establish a prediction model and verify its prediction efficiency.Methods:A multi-stage sampling method was used to select 300 pediatric ICU nurses from 2 tertiary children's specialized hospitals in Henan Province from October 2020 to March 2021 as the research objects for model construction. A total of 300 questionnaires were distributed and 225 valid questionnaires were recovered. From April to May 2021, 110 pediatric ICU nurses in Henan Children's Hospital were selected for model validation, 110 questionnaires were distributed and 100 valid questionnaires were recovered. A self-made baseline rating scale was used to collect relevant baseline information. The medical equipment alarm management questionnaire and the equipment alarm fatigue related scale were used for investigation. The Logistic regression model was used to establish the prediction model, Hosmer-Lemeshow test was used to test the fitting effect of the model and the receiver operating characteristic curve was used to evaluate the prediction value.Results:The 225 pediatric ICU nurses scored (48.67±4.35) for medical equipment alarm management factors, (39.67±3.67) for obstacles to medical equipment alarm management and (22.32±2.83) for clinical alarm fatigue. The results of multivariate analysis showed that the factors of age less than 30 years old, working years less than 5 years, working with illness, nurses with professional titles below, shift work, no habit of setting medical equipment alarms, and medical equipment management factors were all pediatric ICU nurses' equipment alarm fatigue. The independent risk factor of ICU ( P<0.05) . In this study, a prediction model was finally constructed. The area under the receiver operating characteristic curve (AUC) of the model was 0.887, the sensitivity was 0.891 and the specificity was 0.843. The validation data results showed that AUC value of the model was 0.901, the sensitivity was 0.912 and the specificity was 0.857. Conclusions:Pediatric ICU nurses have different degrees of equipment alarm fatigue. This research model can reliably predict the alarm fatigue risk of their equipment and equipment, suggesting that high-risk factors should be paid attention to and timely intervention measures should be carried out to reduce the risk of related adverse events.