医药大数据服务系统研究与设计

Research and design of medical big data service system

为了解决当前医药品类繁多,对应疗效功能更是复杂,难以进行大数据管理和服务的问题,针对各种医药信息,设计了一套基于大数据分析的医药服务管理系统。首先,对医药品类、来源和功效信息,进行大数据建库和电子化管理,形成医药大数据库;然后,基于云计算平台和大数据分析算法,设计并开发出医药服务管理系统;最后,利用大数据库丰富信息和云计算平行算力,对医药大数据信息实现快速检索查阅、相似医药信息推荐以及完整医药品类数据管理服务,在软件系统界面给出用户体验良好的服务功能。场景使用结果显示,该系统应用在医药大数据服务领域,达到了用户要求,可以稳定的服务在医药一线使用场景中。

In order to solve the problem that there are many kinds of medicine,the function of curative effect is more complex,and it is difficult to manage and serve big data,this study designed a set of medical service management system based on big data analysis.First of all,large data base and electronic management are carried out for medical category,source and efficacy information to form a large medical database.Then,based on the cloud computing platform and big data analysis algorithm,the medical service management system is designed and developed.Finally,using the large database to enrich information and cloud computing parallel computing power,we can quickly retrieve and consult the medical big data information,recommend similar medical information and complete medical category data management services,and provide a good user experience service function in the software system interface.The results show that:the system is applied in the field of medical big data service,which meets the user requirements,and can be used in the first-line medical scenarios stably.