Adopting Data Analysis and Visualization Technology to Construct Clinical Research Data Management and Analysis System

With the development of information technology, information systems have been widely used in medical institutions, and more and more clinical research data has been digitized, which provides the possibility to carry out clinical research with data as the source. However, the complexity and multi-dimensionality of clinical data make medical scientists' progress slow, and comprehensive use of various big data technologies is needed to help improve the efficiency of clinical research. Visualization technology can display data in an intuitive and easy-to-read way, helping medical researchers understand data, while parallel computing can greatly improve computing efficiency. Therefore, this paper explores the application strategies of data analysis technology and visualization technology in the management and analysis of clinical research data, and builds a set of clinical research data management analysis system, which combines various technologies to help effectively promote medical clinical.