System and method for clinical disease monitoring and reporting based on real-time event perception

Abstract

The invention relates to an implementing system and an implementing method for monitoring and reporting clinical diseases based on real-time event sensing. The system comprises an outpost module and an intelligent prompt service center, wherein the outpost module is arranged in a doctor station and used for monitoring the business of the doctor station in real time, when monitoring a preset report event of the system, submitting the event data to the intelligent prompt service center to request for judging that whether disease reporting is needed, and reporting the disease to a public health management system when disease reporting is needed; and the intelligent prompt service center is used for judging that whether disease reporting is needed according to the event data sent by the outpost module and sending the disease data information of the disease event needing to report. By using the implementing system with the above structure and the implementing method for monitoring and reporting the clinical diseases based on real-time event sensing, the influence of human factors on disease monitoring can be greatly reduced, thus the disease monitoring can be seamlessly integrated with the existing information system of the hospital, the combination of prevention and cure and whole-process monitoring are achieved, the rate of missing report of the diseases, particularly the priority diseases is reduced, and the management efficiency is improved.

Description

technical field [0001] The present invention relates to the technical field of disease data management, in particular to the technical field of disease data monitoring and reporting, specifically a system and method for realizing clinical disease monitoring and reporting based on real-time event perception. Background technique [0002] Disease monitoring is an important business of public health. Frequent outbreaks such as "SARS" and "bird flu" have constantly warned the public and the society to pay close attention to disease monitoring, so as to realize early detection and treatment of diseases and form an emergency response to public health emergencies. The emergency threshold is moved forward. At present, disease prevention and control institutions at all levels, including the National Center for Disease Control and Prevention, have similar disease reporting information systems. From the perspective of operational effects, the establishment of the disease reporting info...

AI Technical Summary

Problems solved by technology

[0006] Disease reporting is a very professional job, especially with high requirements for public health knowledge. Some doctors have a low professional level in public health and cannot accurately judge whether a certain disease needs to be reported. However, the existing disease reporting information system is Cannot provide convenient and easy-to-use reminders to assist doctors in reporting illnesses

[0007] (3) Insufficient support for complex business

[0008] Clinical diagnosis is a multi-disciplinary comprehensive identification work. In many cases, it cannot be confirmed on the spot when the patient visits the doctor. It is necessary to collect relevant information from various departments in the hospital (such as laboratory test data, imaging data, etc.) and make a diagnosis after comprehensive analysis. Existing diseases The reporting information system basically does not have the function of integrating the data of various departments in the hospital, so doctors need to make up cards later, which significantly increases the workload of doctors

[0009] (4) In essence, it is still a manual method with a low degree of automation

This method has a large workload of copying, and cannot automatically obtain the information of the hospital system, and is essentially a manual method

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