| With the development of hospital informatization and the advancement of digital and intelligent medical technology,a large amount of medical and health data has been accumulated in hospital medical information systems.Massive medical and health data has a large volume of data and data in the context of the digital era.With a wide variety of features,traditional data expression methods face great challenges.Although information systems such as hospital HIS,EMRS,and LIS can already store,manage,and search different medical and health data,the data in the system is often presented in a list format.If a doctor needs to consult the patient’s complete medical and health data,he or she needs to perform more.Level search and screening,this type of multi-level retrieval,multiple data extraction methods have the disadvantages of low efficiency and complicated operation,and due to the massiveness of data and the complexity of reference,it is easy to have missing information,information acquisition errors,etc.All have become obstacles for doctors to use medical health data quickly and efficiently.In order to better mine potential information in medical and health data,and provide reference for clinicians,researchers,and decision makers,we propose a method and method for implementing multi-dimensional intelligent visual display of medical and health data based on HTML5 technology.Health data visualization tool,which can display multi-dimensional visual display of patient’s medical and health data.Intuitive medical and health data presentation mode enables information to be extracted quickly and accurately.It helps doctors to discover the laws hidden in mass medical health data and acquire knowledge.At the same time,these data can also be used to provide the analysis basis and data support for hospitals to improve the quality of medical care,and even make use of medical and health data to make intelligent auxiliary decision-making in the clinical medical process.The main innovative research work of this paper is as follows:(1)Design a data statistical analysis and application display platform based on the original medical information system data for medical institutions,namely Medical and Health Data Visualization Tools(MHDVT).MHDVT presents the data available in the hospital’s medical information system in a multidimensional and visual manner,enhancing the readability of data,enabling doctors and researchers to use medical and health data quickly and efficiently.(2)Using hypertext markup language HTML5,combined with CSS3 and JavaScript technology design to complete the multi-dimensional visualized intelligent display of medical health data.Users only need to use browsers to visualize medical health data without installing program software and browser plug-ins,simplifying the use process.At the same time,the medical and health data visualization tool also uses XMLHttpRequest2 and other related technologies to solve existing problems such as cross-domain issues,making the site more adaptable to a variety of use environments,ensuring ease of use and performance,and improving user experience..(3)Designed and developed a medical health data usage method based on a datadriven platform.Compared with the traditional process-driven platform,the data-driven software platform pays more attention to the value of data,and its characteristics lie in the underlying data platform for medical information systems.The medical health data is extracted,cleaned,and imported into the target database to form valid data.The user can extract data according to different requirements and observe,compare,and analyze the data through a visual interface.The user can independently realize the visualization of data dimensions,metrics,and charts.The free configuration and personalized analysis of the form meets the needs of medical and health data use in various scenarios,and strengthens the “interaction” between data and people,and realizes the humancomputer interaction function. |
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