基于透镜模型的大型医疗设备购置决策判断分析

目的 研究购置审批决策活动中利益相关方决策行为与偏好,并提出优化设备审批的建议。方法 通过向设备审批活动的利益相关方发放情景问卷,并借鉴认知心理学透镜模型进行实证分析。结果 在大型医疗设备采购活动中,不同决策者的决策质量存在显著的组间差异,事务所组的判断质量最高,政府机构组最低;使用人次的决策有用性最低,诊断准确率的决策有用性最高。结论 （1）加强注册会计师在设备审批中的第三方评价作用,以优化医院设备购置的审批流程;（2）依据透镜模型调整医疗设备构置的绩效评价指标体系。     

浅谈医疗设备的预防性维护

随着人们生活水平的不断提高,对自身的生活质量（包括身体健康状况）的要求也越来越高,这也要求医院医疗设备必须处在随时能及时提供服务的状态。而医疗设备随着使用日期的增加,在使用二年后会进入一个故障高发期即U字型的俗称“澡盆曲线”周期。而医疗设备的Maintenance／维护、Repair／维修时效性和质量,     

当代医院大型医疗设备维修存在问题与对策探析

目的:探讨医院大型医疗设备在维修过程中所暴露的问题,并提出相应的解决对策。方法:选取我院2012年4月至2013年4月间采购及正常使用的大型医疗设备60台,通过观察和探讨设备维修中的问题,提出对应的问题解决方案。结果:大型医疗设备在维修过程中面临资金匮乏、技术陈旧等突出问题,要通过制度完善、人才培养、技术改造及定期维修等方面加以努力解决。结论:大型医疗设备尽管存在的问题较多,但均是可控的,医院要积极重视设备维修中的问题,确保使用安全、可靠。     

浅析医疗设备的监管与维护

人们对健康状况越发重视,很多检查身体状况与手术辅助的医疗设备的性能要求越来越高。随着科学技术的不断进步和医疗水平的提升,越来越多高科技医疗设备被广泛应用。但是医疗设备的价格比较昂贵,因此在使用时需要有科学的监管与维护措施,从而延长其使用期限,最大限度造福于人类。因此对于医疗设备的保护措施必须健全。     

基于医疗成本项目标准化核算的成本控制研究

首先对医疗成本项目进行分类标准化处理,统一和规范医疗作业成本项目;在此基础上借助作业成本法,通过对医疗项目的价值分析与优化,达到节约卫生资源,控制医疗成本的目的;最后,通过实例和数学模型证明医疗成本项目标准化核算下的医疗成本控制的有效性。     

医疗设备软件维修与调整

介绍了医疗设备软件维修必须具备的知识,DSA机与培养仪软件维修实例。同时还介绍了医疗设备的调整的方法,用于排除故障的经验。     

大龙医疗设备有限公司简介

大龙医疗设备有限公司．创立于1992年,生产基地座落在中国最大的商业城市——上海,拥有多家分公司和数百家代理公司,集科研、生产、贸易于一体。     

医院计算机化医疗设备的维护管理

现代医疗设备大都采用了计算机化设计,分析了目前医院拥有的计算机现状、医疗设备的分类和管理。最后,提出了维护管理措施。     

现代医院医疗设备的信息化管理

利用计算机高新技术对医疗仪器进行信息化管理,提高设备的使用效能,探索一条科学管理医疗设备的新技术。利用VB的(Visual Data Manager)技术建立设备数据管理系统,设置各种管理功能模块,制作各种统计报表,规范操作流程。该系统操作简便,功能性强,灵活的统计功能,可以随时全面地掌     

大型医院医疗设备采购流程精细化管理的探讨

医疗设备采购工作由于环节众多,过程复杂,且工作性质的特殊性、敏感性关系,很多的审批、监督环节无法省略,对工作速度造成了严重影响。该文探讨了一种基于项目团队模式的医疗设备采购管理新模式。打破了采购工作各相关部门的职能壁垒,按精细化管理的原则,构建了一个跨部门的医疗设备采购工作职能团队,快速、准确、高效地完成大型医院医疗设备购置工作,提高医疗设备采购工作的效率和质量,以充分发掘采购工作的效益。     

数学模型在二元复配杀螨剂最优配比筛选中的应用

采用共毒系数法对复配剂的最优配比进行筛选可能会造成真正最优配比的漏筛,且工作量很大,具有局限性.以朱砂叶螨为试虫,分别对甲氰菊酯、阿维菌素、氯氰菊酯、三氯杀螨醇、氧化乐果、甲氰·阿维、氯氰·三杀和氧乐·甲氰进行毒力测定并对复配剂共毒系数Y进行计算.将甲氰菊酯、氯氰菊酯和氧化乐果在各自复配剂有效成分中的质量分数k进行反正弦转换(X=arcsin(k)1/2),通过SPSS软件拟合k反正弦转换值与共毒系数的数学模型.甲氰·阿维、氯氰·三杀和氧乐·甲氰的数学模型为Y1=-30179.08 769.24 X1-4.8472 X21;Y2=-251.53 32.34 X2-0.6858 X22;Y3=-7066.96 266.06 X3-2.4267 X23.对上述的3个方程进行求导可得:Y1'=769.24-9.6944 X1;Y2'=32.34-1.3716 X2;Y3'=266.06-4.8534 X3.令Y'=0,则有X1=79.34;X2=23.58;X3=54.82.将X1、X2和X3值分别代入各自的方程可以求得甲氰·阿维、氯氰·三杀和氧乐·甲氰复配剂的最大共毒系数分别为340.09、129.71和225.65,将X1、X2和X3值代入X=arcsin(K)1/2中可以求得各单剂在复配剂有效成分中的质量分数k值,根据k值可以求得:甲氰菊酯和阿维菌素的最优配比为28:1;辛硫磷和啶虫脒的最优配比为1:5.25;三唑磷和杀虫单最优配比为2:1.     

一个新的养分效应数学模型

在养分效应研究中,多采用二次抛物线模型,从容（1991）在米氏方程的基础上提出一个改进抛物线模型,这两种模型都是对称性模型,也即是把养分正负效应的速率视为相同,而大多数实际情形并非如此．本文建立了一个反映养分效应普遍现象的非对称性模型,两个应用实例表明新模型较之原来的模型无论在拟合度（残差平方和）还是在生物学意义方面都具有明显的优越性．     

A Mathematical Model of Uterine Dynamics and its Application to Human Parturition

We have developed a simple mathematical model with three physiologically significant states to describe the changes in intrauterine pressure associated with a contraction during human parturition. The myometrium is modelled as a set of smooth muscle cells, each of which is in one of three states (quiescent, contracted, refractory) at a given time. These states are occupied according to a cycle governed by three temporal parameters. The solutions of the equations describing the model show an oscillatory behavior for particular values of these parameters, which is very similar to the time dependant development of intrauterine pressure during labor. Due to its non-linear terms, our model could lead to chaotic oscillations (in the mathematical sense), whose clinical counterpart may occur in cases of dystocia. Despite its simplicity, this model appears to be a useful guide to further investigations of the oscillatory behavior of the myometrium, or other smooth muscles, in normal and pathological situations.     

现代医院设备采购管理的探索

医院的采购管理是医院设备管理的重要组成部,该文分析了当今医院设备采购的原则、相关流程及评标方法进行了技术探讨和解析。     

初生根伸长对环境响应的数学模型

在根组织细胞分裂和细胞体积增大亚过程基础上,建立了一个综合根生长特征参数和环境影响在内的单根伸长的数学模型,同时实验观测了大豆根在不同的环境水势下的生长过程。模型计算结果与实验结果吻合较好。最后利用模型探讨了根伸长对环境因子变化的响应,以及根内水势分布。     

生态学数学模型的研究进展

当前许多生态学的研究工作使用了数学的方法和手段。因为它可以对生态现象进行量化的研究,而且理论上的分析往往还能使研究结果得以深化。数学模型是数学的思想和方法应用于生态学研究的桥梁。自从60年代数学模型的研究在生态学上再次被人们重视以来,其发     

Central Pressure Appraisal: Clinical Validation of a Subject-Specific Mathematical Model

IntroductionCurrent evidence suggests that aortic blood pressure has a superior prognostic value with respect to brachial pressure for cardiovascular events, but direct measurement is not feasible in daily clinical practice.AimThe aim of the present study is the clinical validation of a multiscale mathematical model for non-invasive appraisal of central blood pressure from subject-specific characteristics.MethodsA total of 51 young male were selected for the present study. Aortic systolic and diastolic pressure were estimated with a mathematical model and were compared to the most-used non-invasive validated technique (SphygmoCor device, AtCor Medical, Australia). SphygmoCor was calibrated through diastolic and systolic brachial pressure obtained with a sphygmomanometer, while model inputs consist of brachial pressure, height, weight, age, left-ventricular end-systolic and end-diastolic volumes, and data from a pulse wave velocity study.ResultsModel-estimated systolic and diastolic central blood pressures resulted to be significantly related to SphygmoCor-assessed central systolic (r = 0.65 p <0.0001) and diastolic (r = 0.84 p<0.0001) blood pressures. The model showed a significant overestimation of systolic pressure (+7.8 (-2.2;14) mmHg, p = 0.0003) and a significant underestimation of diastolic values (-3.2(-7.5;1.6), p = 0.004), which imply a significant overestimation of central pulse pressure. Interestingly, model prediction errors mirror the mean errors reported in large meta-analysis characterizing the use of the SphygmoCor when non-invasive calibration is performed.ConclusionIn conclusion, multi-scale mathematical model predictions result to be significantly related to SphygmoCor ones. Model-predicted systolic and diastolic aortic pressure resulted in difference of less than 10 mmHg in the 51% and 84% of the subjects, respectively, when compared with SphygmoCor-obtained pressures.     

Mathematical modelling of biofilm structures

The morphology of biofilms received much attention in the last years. Several concepts to explain the development of biofilm structures have been proposed. We believe that biofilm structure formation depends on physical as well as general and specific biological factors. The physical factors (e.g. governing substrate transport) as well as general biological factors such as growth yield and substrate conversion rates are the basic factors governing structure formation. Specific strain dependent factors will modify these, giving a further variation between different biofilm systems. Biofilm formation seems to be primarily dependent on the interaction between mass transport and conversion processes. When a biofilm is strongly diffusion limited it will tend to become a heterogeneous and porous structure. When the conversion is the rate-limiting step, the biofilm will tend to become homogenous and compact. On top of these two processes, detachment processes play a significant role. In systems with a high detachment (or shear) force, detachment will be in the form of erosion, giving smoother biofilms. Systems with a low detachment force tend to give a more porous biofilm and detachment occurs mainly by sloughing. Biofilm structure results from the interplay between these interactions (mass transfer, conversion rates, detachment forces) making it difficult to study systems taking only one of these factors into account. This revised version was published online in August 2006 with corrections to the Cover Date.