论文代写:医疗数据分析

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16/11/2017

论文代写:医疗数据分析

客户将是医疗保险公司和医院。他们将使用这种预测模型来发展预防保健。与客户经理保持关系是很重要的。数据将从医院和疾病控制机构进行整理。通过应用不同的标准和创建后续的分析,将会应用批判性思维技能。为了确保过程的准确性,将对数据来源和过程设计进行文档说明。将会有关于目前的卫生要求和业务和技术规范的文件,将根据负责的利益相关者的适当投入和批准而制定。使用诸如t – sql和reporting Services这样的自定义报告工具,也可以使用传统的Microsoft工具来支持定制的报告过程。开发的数据将通过传输报告、基于web的工具和标准化的报告传输向涉众提出。所开发的数据和分析将以标准的CSV格式呈现。它将充当医院医护人员和软件开发人员之间的中介代理,以创建预测模型。将会有自动化和可伸缩的数据收集或报告过程。对商业智能工具和当前实践的扎实工作知识将被注入。数据仓库的开发也将用于支持客户和决策支持的目的。为了实现这一点,将有从多个解决方案到标准报告工具集的报告的迁移。

论文代写:医疗数据分析

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. 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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