Factors Influencing the Implementation of Drug Standards Improvement in China

Objective To explore the factors influencing the implementation of drug standards improvement in China,and to offer some suggestions for improving drug standards.Methods Factor analysis was used to investigate the influencing factors by referring to the literatures,experts’interview and collecting data through questionnaire,and then data were analyzed by SPSS21.0 statistical software.Results and Conclusion The results showed that there were four factors that affecting the plan of the national drug standards improvement.They were mechanism factor,design factor,constraint factor and motivation factor.And corresponding management suggestions for improving the efficiency of the plan were put forward.

Adult immunization improvement in an underserved family medicine practice

Objective:Vaccines prevent many cases of infectious disease,yet immunization campaigns are hindered by various barriers.This work presents the results of a quality improvement project addressing barriers to vaccine compliance in an underserved teaching practice by reducing missed opportunities and increasing provider and patient compliance rates for pneumococcal,Tdap,influenza,and zoster vaccines in adults.Methods:The study intervention aimed to address patient knowledge,provider knowledge and skills,proactive care coordination,and outreach and counselling of high-risk groups.Aggre-gate patient data from intervention at year-end were compared to the prior year.Outcome targets were as follows:improved vaccination rates by one-half of the difference between baseline and Healthy People 2020 goals;reduced patient refusals by 10%;and reduced missed opportunities by 50%.Results:All of the vaccination rates improved,but with mixed results regarding the target outcomes.The rates of vaccine refusal were mixed in terms of the direction of the change,the significance,and achieving targets.Missed opportunities all improved,but the significance was mixed and none reached targets.Conclusion:This project has helped to identify patient and provider knowledge of vacci-nation as a key to increasing compliance,and missed opportunities as the greatest challenge in achieving targets.The burden of documentation is significant on providers,and future work should focus on methods to improve the ease of documentation.Clinical outcomes and improvements were encouraging;however,it is clear that there remain challenges to reaching Healthy People 2020 goals within the study population and nationally.

Improving Clinical Practice Guideline Development in Integration of Traditional Chinese Medicine and Western Medicine

Integration of traditional Chinese medicine （TCM） and Western medicine （WM）, or called as integrative medicine （IM） in China, came into being in 1950s as a new form of medicine. IM emphasizes the combination of both conventional WM and TCM alternative approaches to address all aspects of health and illness.（1） The major practice in IM includes the integration of disease diagnosis in WM and pattern classification （or syndrome differentiation） in TCM, and the integration of WM interventions and TCM interventions.

Recognition of practical speech emotion using improved shuffled frog leaping algorithm

Due to the drawbacks in Support Vector Machine（SVM）parameter optimization,an Improved Shuffled Frog Leaping Algorithm（Im-SFLA）was proposed,and the learning ability in practical speech emotion recognition was improved.Firstly,we introduced Simulated Annealing（SA）,Immune Vaccination（Iv）,Gaussian mutation and chaotic disturbance into the basic SFLA,which bManced the search efficiency and population diversity effectively.Secondly,Im-SFLA Was applied to the optimization of SVM parameters,and an Im-SFLA-SVM method Was proposed.Thirdly,the acoustic features of practical speech emotion,such aS ridgetiness,were analyzed.The pitch frequency,short-term energy,formant frequency and chaotic characteristics were analyzed corresponding to different emotion categories,and we constructed a 144-dimensional emotion feature vector for recognition and reduced to 4-dimension by adopting Linear Discriminant Analysis（LDA） Finally,the Im-SFLA-SVM method Was tested on the practical speech emotion database,and the recognition results were compared with Shuffled Frog Leaping Algorithm optimization-SVM（SFLA-SVM）method,Particle Swarm Optimization algorithm optimization-SVM（PSo-SVM） method,basic SVM,Gaussian Mixture Model（GMM）method and Back Propagation（BP）neural network method.The experimentM resuits showed that the average recognition rate of Im-SFLA-SVM method was 77.8%,which had improved 1.7%,2.7%,3.4%,4.7%and 7.8%respectively,compared with the other methods.The recognition of fidgetiness was significantly improve,thus verifying that Im-SFLA was an effective SVM parameter selection method,and the Im-SFLA-SVM method may significantly improve the practical speech emotion recognition.