[Construction and effect evaluation of tuberculosis information platform in Ningxia]

Zhonghua Yu Fang Yi Xue Za Zhi. 2021 Apr 6;55(4):517-520. doi: 10.3760/cma.j.cn112150-20200701-00959.
[Article in Chinese]

Abstract

Objective: To explore the value of information technology in management of tuberculosis patients. Methods: The data comes from the case reports of Ningxia tuberculosis patients in the national tuberculosis special report system from March to December 2019 and the data of Ningxia tuberculosis information management platform. Using the computer Information and communication technologies and the Internet platform, unified data collection and data interface standards,Hospital Information System(HIS) of 18 (90%)TB specific Hospitals in Ningxia 22 counties are linked together, forming a closed loop management System, to realize Information interconnection, compare the patients' diagnostic rate before and after the application, and standardize treatment differences. Results: The system automatically collected and uploaded valid data for 2 918 times, and the consistency rate of uploaded data was 94.8%.The clinical diagnostic rate was 18.23% (1 154/6 332) before and 39.1% (914/2 335) after using the AI imaging screening subsystem (χ²=235.56, P<0.001).The regular medication rate of patients after system use was 86.89% (510/587), which was higher than that before [73.72% (544/738)] (χ²=3.94, P<0.05).The cure rate of etiologically positive tuberculosis patients (2019) was 86.03% (788/916), which was higher than that of 83.45% (1 008/1 208) before the use of the system (2018) (χ²=435.43, P<0.001). Conclusion: The tuberculosis information management platform in Ningxia has achieved tuberculosis information interconnection, significantly improving the standard diagnosis, treatment and management level of tuberculosis.

目的: 探索宁夏信息化技术在结核病患者管理中的价值。 方法: 数据来源于2019年3—12月《中国疾病预防控制信息系统》中《国家结核病专报系统》宁夏结核患者病例报告数据及宁夏结核病信息化管理平台数据。利用计算机信息通信技术以及互联网平台,制定标准统一的数据集和数据接口将宁夏全区22个县的18家(90%)定点医院系统(HIS)相连,形成一个闭环式管理系统,实现信息互联互通,比较应用前后患者诊断率、确诊病例和规范治疗等差异。 结果: 系统自动收集上传有效数据2 918次,上传数据一致率94.8%。使用AI人工智能影像筛查子系统前临床诊断率为18.23%(1 154/6 332),使用后临床诊断率为39.1%(914/2 335)(χ²=235.56,P<0.001)。系统使用后患者规则服药率为86.89%(510/587),高于使用前的73.72%(544/738)(χ²=3.94,P<0.05);系统使用后病原学阳性肺结核患者治愈率(2019年)为86.03%(788/916),高于系统使用前(2018年)的83.45%(1 008/1 208)(χ²=435.43,P<0.001)。 结论: 宁夏结核病信息化管理平台实现了结核病信息互联互通,提升结核病规范诊疗和管理水平。.

MeSH terms

  • Data Collection
  • Diagnostic Tests, Routine
  • Hospitals
  • Humans
  • Mass Screening
  • Tuberculosis*