A multi-source heterogeneous doctor-patient experience abnormal data fusion working system and working method

Abstract

The present invention proposes a multi-source heterogeneous doctor-patient experience abnormal data fusion work system, including: big data platform: used for receipt data, analysis platform: analyze the data of the big data platform, push platform: analyze the results according to Cases are paired with patients for push. Discharged patient terminal: displays abnormal experience data and analysis results after analysis on the discharged patient terminal. Hospital terminal: used to collect information from doctor terminals and admitted patient terminals. Doctor terminal; physical examination of patients Test data result entry, admitted patient terminal: admitted patients fill in their identity information; the big data platform is connected to the analysis platform and the hospital terminal, the analysis platform is connected to the push platform, the push platform is connected to the discharged patient terminal, and the hospital terminal is connected to the doctor terminal and the admitted patient The terminal is connected. The invention can effectively solve the related problems of fragmentation, unintegration and lack of continuous tracking of case data of patients in terms of experience abnormality.

Description

technical field [0001] The invention relates to the field of electronic information technology, and especially designs a multi-source heterogeneous doctor-patient experience abnormal data fusion working system and working method. Background technique [0002] Today's digital medical care is developing rapidly, and patient network management systems have been widely used. However, the case data of patients with abnormal experience is often fragmented, without information integration, and lack of continuous tracking. In addition, experience data is generally based on the results of doctors' professional knowledge judgments, but in the actual diagnosis process, experience knowledge, that is, other data not detected by doctors, needs to be considered comprehensively. The results obtained by a single professional knowledge often have certain deviations, so it is very necessary to build a working system for the fusion of multi-source heterogeneous doctor-patient experience abnorma...

AI Technical Summary

Problems solved by technology

[0002] Today's digital medical care is developing rapidly, and patient network management systems have been widely used. However, the case data of patients with abnormal experience is often fragmented, without information integration, and lack of continuous tracking.

In addition, experience data is generally based on the results of the doctor's professional knowledge judgment, but the actual diagnosis process also needs to comprehensively consider experience knowledge, that is, other data not detected by the doctor

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