Abstract

The information work in the hospital is very complicated. The amount of data is huge, and the forms are various. It is very troublesome to organize and find the data you need. In order to solve the problem, which often appears in the process of analyzing medical case and data, we use Labview2017 to design the corresponding multimedia data calling system for the purpose of rapid searching and effective extraction. This program, which greatly improves work efficiency, can realize fast searching multimedia data in the folder. Since we use of this type of system, the work efficiency has been greatly improved, and the burden on the staff has been greatly reduced.

Highlights

  • With the advancement of times, people’s requirements for office efficiency are getting higher and higher [1], which makes the level of office automation systems correspondingly higher [2].In the daily information statistics of large hospitals, there are often huge folders of messy storage

  • In order to solve the problem, which often appears in the process of analyzing medical case and data, we use Labview2017 to design the corresponding multimedia data calling system for the purpose of rapid searching and effective extraction

  • Since we use of this type of system, the work efficiency has been greatly improved, and the burden on the staff has been greatly reduced

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Summary

Introduction

With the advancement of times, people’s requirements for office efficiency are getting higher and higher [1], which makes the level of office automation systems correspondingly higher [2]. In the daily information statistics of large hospitals, there are often huge folders of messy storage. It is very troublesome to organize such folders and obtain specific information in need [3]. When the data are stored in multimedia style, the file retrieval function of the operating system alone is difficult to meet the demand [4] [5] [6]. Using the search system that comes with the computer system, you can only retrieve files with inefficient [7]. If the corresponding data is damaged or cannot be used, it requires manual discrimination. We fully understood the needs of our staff. On the basis of active communication and collaboration among all personnel, we conscientiously implemented relevant work

Construction of This System
Experimental Argumentation
Conclusions

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