代写论文:医疗保险

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澳洲论文代写 论文通

澳洲论文通 ASSIGNMENT PASS - 论文代写以独特的澳洲论文代写.澳洲essay代写和assignment代写专业服务理念,尝试创新的代写形式赢得了澳洲留学生的口碑.我们代写团队对于代写论文采取多样化的手段.做到了代写论文的原创性和对论文抄袭的杜绝.

21/03/2018

代写论文:医疗保险

客户将是医疗保险公司和医院。他们会使用这种预测模型来开发预防性护理。保持与客户经理的关系非常重要。数据将从医院和疾病控制机构整理。通过应用不同的标准并创建后续分析,将会应用批判性思维技能。数据源和过程设计的文件将被完成以确保过程的准确性。将会有关于当前健康要求的文件,并且将根据负责的利益相关者的适当输入和批准来制定操作和技术规范。将使用定制报告工具(如T-SQL和Reporting Services)以及常规Microsoft工具来支持自定义报告流程。所开发的数据将通过传输报告,基于网络的工具和标准化的报告传输呈现给利益相关者。

代写论文:医疗保险
数据和开发的分析将以标准的CSV格式显示。它将作为医院医疗保健人员和软件开发人员之间的中介机构,用于创建预测模型。将会有自动和可扩展的数据收集或报告过程。商业智能工具和当前实践的扎实的工作知识将被灌输。数据仓库的开发也将用于支持客户和决策支持目的。为实现这一目标,将会有多个解决方案的报告向标准报告工具集迁移。

代写论文:医疗保险

The clients would be the healthcare insurance companies and hospitals. They would use this predictive model for the development of preventive care. It is important to maintain relationships with the account managers. Data would be collated from the hospitals and the disease control agencies. There would be application of the critical thinking skills by applying the different criteria and creating subsequent analysis. Documentation of the data sources and process design will be done to ensure accuracy of the processes. There will be documentation of the current health requirement and operational and technical specifications will be developed based on the appropriate input and approval of the stakeholders who are in charge. The use of the custom reporting tools such as T-SQL and Reporting Services would be used as well as conventional Microsoft tools to support the customized reporting process. The data that is developed would be presented to the stakeholders using transmit reports, web based tools and standardized report transmissions.

代写论文:医疗保险
The data and the analysis that is developed would be presented in a standard CSV format. It would act as an intermediary agent between the hospital healthcare workers and the software developers for creation of the predictive models. There would be automated and scalable data collection or reporting process. A solid working knowledge of the business intelligence tools and the current practices would be infused. The development of data warehousing would also be done to support clients and for decision support purposes. To achieve this, there would be migration of reports from multiple solutions to standard reporting toolset.

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