Computer Science

Computer Science ›› 2023, Vol. 50 ›› Issue (11A): 221100265-11.doi: 10.11896/jsjkx.221100265

• Big Data & Data Science • Previous Articles     Next Articles

Survey of Medical Data Visualization Based on EHR

YE Xianyi1, CHAI Yanmei1, GUO Fengying2   

  1. 1 School of Information,Central University of Finance and Economics,Beijing 100081,China
    2 School of Management,Beijing University of Chinese Medicine,Beijing 100029,China
  • Published:2023-11-09
  • About author:YE Xianyi,born in 1999,postgraduate.His main research interests include data analysis and data visualization.
    CHAI Yanmei,born in 1978,Ph.D,assistant professor,master supervisor,is a member of China Computer Federation.Her main research interests include image processing,pattern recognition and smarter learning.
  • Supported by:
    China University Industry-Academia-Research Innovation Fund(2021LDA12004),Supporting Plan for Scientific Research and Innovation Team of Central University of Finance and Economics and Fundamental Research Funds for the Central Universities.

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Abstract: With the development of medical information technology,the effective utilization of electronic health records(EHR) data is playing an increasingly important role in the field of assisted medical care.This paperreviews the data visualization methodsand technologies based on EHR in recent ten years.Firstly,the knowledge map method isused to show the research hotspots and development trends of EHR data visualization in the past ten years.Then the general process and four tasks of visualization technology are extracted from the literature,including comparative analysis,anomaly detection,pattern discovery and decision support.Next,the representative researchesarefurtherly summarized,classified and evaluated.Finally,5 kinds of visualization models and 3 visual dimensions of EHR aresummarized and the applicable scenarios of various methods are discussed based on the above research frameworks.It is found that the visualization technology based on EHR could not only help doctors and nurses understand patients’ status more intuitively in clinical diagnosis,but also help researchers analyze and mine the value of EHR data.At the same time,it is also of positive significance for the development of Internet medicine and intelligent medicine.However,there are still some problems in this field,such as lack of authoritative Chinese medical dictionary and knowledge database,hard to process the massive time-varying EHR data,and there is no unified and quantitative evaluation of visualization methods.

Key words: Electronic health records, Data visualization, Electronic medical record visualization

CLC Number: 

  • TP391
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