Research of statistically analytic system based on Visual Studio 2005 for the usage of medical equipment
10.3969/J.ISSN.1672-8270.2017.11.032
- VernacularTitle:基于Visual Studio2005的医疗设备使用统计分析系统的研究
- Author:
qing Chao YIN
1
;
min Xin XU
;
ni Yan LIANG
Author Information
1. 解放军第323医院医学工程科 陕西 西安 710054
- Keywords:
Software of visual studio 2005;
Medical equipment;
Usage;
Statistics;
Analysis
- From:
China Medical Equipment
2017;14(11):109-113
- CountryChina
- Language:Chinese
-
Abstract:
Objective: To study and design a software system of filling out and submitting on line for the utilization rate of medical equipment so as to realize automatic analysis for the utilization rate of medical equipment in accordance with the time slot. Methods: SQL Server2000 was used as backend database, and Visual Studi2005 that was object-oriented language was adopted as procedure software to research this system. The filled data of client-side were saved in internal storage array of client, and the array of internal storage could be visited through Socket C of client, and then all of these data were disposably send to server. The Socket of server saved these received data in array of internal storage through the link of Socket C at client-side. And server was used as bridge between client and database through to link active data object of Sql serve2000 database, and it saved these received data of client and visited these data of database, and then returned to client and displayed them at client. Results: The software system realized submission on line for the service situation of medical equipment and saved the times of department that used medical equipment and statistic staff who count utilization rate. Through statistic analysis of computer, the system tremendously reduced the error rate and enhanced the accuracy and work efficiency of statistic work for the utilization rate of medical equipment. Conclusion: The software system can effectively replace the manual filling and calculate the utilization situation of medical equipment, and it can enhance timeliness and accuracy of statistic analysis for the utilization of medical equipment.
