医疗资源配置政府规制理论分析

政府规制学为我们进行经济管理提供了理论基础,本文针对医疗资源配置进行政府规制分析,分析规制的经济学理由,用公共利益理论分析政府规制的必要性,运用政府俘虏理论分析政府对医疗资源配置规制的弊端,提出政府对医疗资源规制的手段.     

大力发展中药材产业 加快“中国药都”建设

中药材是定西的重要优势资源之一。甘肃省定西市已将中药材作为当地一大支柱产业大规模地进行开发生产,并提出打造"中国药都"的目标。该文论述了定西建设"中国药都"的重要意义,阐述了定西中药材产业发展的优劣势,提出了定西如何大力发展中药材产业、加快"中国药都"建设的对策建议。     

中医院校研究生英语改革与发展——一项基于浙江中医药大学的研究

随着大学英语教学改革的深入发展,研究生英语的教学改革也势在必行。通过分析目前研究生英语教学改革所取得的成绩和存在问题,结合对浙江中医药大学的研究生英语教学情况所做的分析和调查,对中医院校的研究生英语教学发展提供了一些意见和参考。     

转化医学团队构建的经济学分析

加快转化医学发展,促进医学模式转变是医学研究发展的必然趋势。转化医学团队是联系基础医学和临床实践的纽带,根据转化医学的特点,从经济学的角度分析转化医学团队构建中的若干关系,据此提出有利于团队构建的建议,鼓励科研人员组建转化医学团队的积极性。     

天津市民自我药疗行为调查与研究

当前,因看病难、看病贵及患者用药知识严重匮乏等原因,使市民非理性的自我药疗行为非常普遍。运用SPPSS统计软件对天津市民的自我药疗行为第一手调查数据进行相关分析得出结论:市民自我用药会经常失误,极易耽误病情。政府应加大宣传,鼓励市民除常见小病外,尽可能去医院看病;应通过多种途径宣传医药常识和用药知识,减少市民乱用药的行为;继续加强对虚假药品广告的监管。同时,加强对药店的监管,提高药店服务人员的专业知识水平。     

保护中医药市场,要加强传统中药在基层的落实

本文从中医药市场日益萎缩的现状出发,分析在基层应该加强落实传统中药。     

药价虚高博弈分析

药价问题是关系能否顺利建设和谐社会的大事，“药价虚高”已引起各方高度关注，如何才能根治这个问题呢？本文发现医药定价改革的关键是解决医患之间严重的信息不对称问题，为此本文建立了一个序贯均衡博弈模型，给出了解决医患信息不对称的方法：进行医院专业化及建立医德机制。     

An investigation on traditional Chinese medicine in Dublin Ireland

The traditional Chinese medicine chain arrived in Ireland in 2005. This study focused on the standardization and adaptation of TCM companies and the customer profile in Irish market. The objective of this research dissertation is to find that how TCM is learned in Irish market and how it faces different cultures.     

工业工程在企业咨询中的实际应用

简要阐述了工业工程的基本方法及其特征,模仿中医诊病的过程,以实例介绍了工业工程在上海汽车股份公司下属一些企业的管理咨询项目中的应用情况。     

Limits to forecasting in personalized medicine: An overview

Biomedical research is generating massive amounts of information about potential prognostic factors for health and disease. However, few prognostic factors or systems are robustly validated, and still fewer have made a convincing difference in health outcomes or in prolonging life expectancy. For most diseases and outcomes, a considerable component of the prognostic variance remains unknown, and may remain so for the foreseeable future. I discuss here some of the main problems in medical forecasting that pose obstacles to personalized medicine. Their recognition may help identify solutions to improve personalized prognosis, or at least understand and cope with the component of the future that we cannot predict. Much prognostic research is stuck at generating “publishable units”, without any interest in conclusively proving their worth, let alone moving them into real life applications. Information is reported selectively and reporting is deficient. The replication record of prognostic claims is poor. Even among replicated prognostic effects, few are convincingly shown to add much information besides what is already known through more simple, traditional measurements. There are few efforts to systematize prognostic knowledge. Most prognostic effects are subtle when traced to the molecular level, where most current research operates. Many researchers, clinicians, and the public are not appropriately educated to interpret prognostic information. We still have not even agreed on what the important health outcomes are that we want to predict and intervene for, and some subjectivity may be unavoidable. Finally, without concomitant effective, affordable, and non-harmful interventions, prognosis alone is of questionable value, and wrong prognosis or a wrong interpretation thereof can be harmful. The identification of these problems also suggests a roadmap on what could be done to amend them. Solutions include a systematic approach to the design, conduct, reporting, replication, and clinical translation of prognostic research; as well as the education of researchers, clinicians, and the general public. Finally, we need to recognize that perfect individualized health forecasting is not a realistic target in the foreseeable future, and we have to live with considerable residual uncertainty.