Electronic medical record medication structural processing system based on multiple models

Abstract

The present invention relates to an electronic medical record medication structural processing system based on multiple models. The system comprises: a plurality of medical record input devices, wherein each medical record input device is used for inputting each piece of electronic medical record information of a medical group/doctor corresponding to the medical record input device, and each pieceof electronic medical record information comprises a course paragraph; and a cloud service network element set which is used for selecting a corresponding deep neural network model according to the received source medical group/doctor of each piece of electronic medical record information so as to execute deep neural network identification processing on the disease course paragraph and obtain a patient medication structured file taking a medication name as a main index word. The electronic medical record medication structural processing system based on multiple models is intelligent in operation and timely in response. On the basis that a computer adopts a deep neural network model to read electronic medical record data mainly including texts, medical record writing habits of different medical groups/different doctors in the same medical institution are recognized, and effective structured medical basic data are provided for a scientific research data platform of the medical institution.

Description

[0001] (1) Technical field [0002] The invention relates to the field of medical resource management, in particular to a multi-model-based electronic medical record medication structure processing system. [0003] (2) Background technology [0004] Electronic Medical Record (EMR) is a written record made by medical staff on the patient's illness and treatment, and is the basis for doctors to diagnose and treat diseases. Electronic medical records not only record the condition of the disease, but also record the process of analysis, diagnosis and treatment of the disease, the estimation of the prognosis, and the opinions of doctors at all levels on ward rounds and consultations. As the original record of the patient's entire diagnosis and treatment process, the electronic medical record records the real situation of the whole process of the patient's admission to the medical institution, the patient or his companion stating the course of the disease, the medical staff's diagnos...

AI Technical Summary

Problems solved by technology

[0009] In order to solve the above-mentioned technical problems of various electronic medical record identification difficulties, the present invention provides a multi-model-based electronic medical record medication structured processing system. First, the computer uses a deep neural network model to realize text-based electronic medical record data Read in, secondly, introduce a variety of deep neural network models to adapt to the medical record writing habits of the corresponding medical groups / doctors for different medical groups / doctors of the same medical institution, and again, in the depth of each medical group / doctor In the neural network model, based on the number of doctors in the medical group / the number of departments that doctors have rotated through, the medical institution realizes the customized design of the model. Finally, in order to improve the response speed and processing efficiency of the scientific research data platform of the medical institution that reads the electronic medical record information, Introduce a set of cloud service network elements consisting of more than one cloud service network element and use the cloud service network element with the lightest task to read in the electronic medical record information

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