Design and implementation of multi-point trigger system for infectious disease warning
10.3969/j.issn.1671-332X.2024.01.025
- VernacularTitle:传染病预警多点触发系统的设计与实现
- Author:
Xuechao CHEN
1
;
Changlin HU
;
Huiyuan ZHAO
;
Hua LI
Author Information
1. 合肥市健康信息中心 安徽合肥 230041
- Keywords:
Deep learning;
Infectious disease warning;
Multi-point trigger;
Syndrome monitoring;
Big data
- From:
Modern Hospital
2024;24(1):93-98
- CountryChina
- Language:Chinese
-
Abstract:
Objective With the focus on emerging infectious diseases and diseases of unknown cause,the study aims to realize multi-point trigger monitoring of infectious diseases through key monitoring sites and key populations.Methods Using ar-tificial intelligence,deep learning,big data and other information technologies to build an intelligent information center for infec-tious diseases with patients'disease files as the core,construct a core capacity of infectious disease surveillance,early warning and situation prediction,and predict and evaluate the importance of infectious disease warning signals.Results The system cov-ered 1 425 primary-level medical institutions,18 hospitals,2 580+schools,4 134 pharmacies,4 laboratories and civil affairs departments,detected 55 kinds of infectious diseases and 6 kinds of syndrome monitoring signals.Since its launch,121 000 ac-tive notification cards have been issued,more than 54 000 new notification cards have been added,35.256 million times of multi-source monitoring and 14.4 million disease files have been recorded.Conclusion By expanding monitoring content and chan-nels,we realized early monitoring,auxiliary investigation and multi-mode visual early warning of infectious diseases,built a multi-point trigger mechanism,and moved forward the infectious disease surveillance.
