Method for collecting and cleaning atrial fibrillation single disease data

Abstract

The invention discloses a method for collecting and cleaning atrial fibrillation single disease data. The method includes the following steps: querying from database views of each system of a hospitaland related data ports; when a preset keyword appears in the diagnosis of the disease condition data of a patient, obtaining an identification code of the patient; correlating the basic information,medical history, medication, electrocardiogram, ultrasound and atrial fibrillation patient-related scores of the patient through the identification code of the patient; and structuring the obtained data through a preset structuring mode, and then storing and classifying the structured data according to a preset storage classification format. Therefore, multi-port integration is carried out on diagnosis and treatment information of all atrial fibrillation patients who have been diagnosed in hospital outpatient emergency treatment and hospitalization through an informatization technology, and disease condition data of the patients scattered in all data ports are integrated; and each clear doctor-seeing data of each atrial fibrillation patient can be intact, so that doctors can simply and integrally check the data and analyze the data.

Description

technical field [0001] The invention relates to the technical field of medical data processing, in particular to a method for collecting and cleaning data of a single disease of atrial fibrillation. Background technique [0002] When collecting medical data in existing technologies, manual input is mainly used, or a large amount of data that is invalid for the management and analysis of a single disease of atrial fibrillation is collected through the existing information system of the hospital. These data extraction methods rely on a large amount of labor costs , Time cost investment, and the collection efficiency is low, and the collection effect is poor. [0003] Moreover, in the existing medical data processing, manual cleaning is basically the main reason. The main reason is that the existing technical solutions are not aimed at the single disease of atrial fibrillation, and most of them do not set standard data fields for patients. The relationship is fragmented and in...

AI Technical Summary

Problems solved by technology

[0002] In the prior art, when collecting medical data, manual input is mainly used, or a large amount of data that is invalid for the management and analysis of a single disease of atrial fibrillation is collected through the existing information system of the hospital. These data extraction methods rely on a large amount of labor costs , Time cost investment, and the collection efficiency is low, and the collection effect is poor

[0003] Moreover, in the existing medical data processing, manual cleaning is basically the main reason. The main reason is that the existing technical solutions are not aimed at the single disease of atrial fibrillation, and most of them do not set standard data fields for patients. The relationship is fragmented and independent of each other, resulting in most of the obtained data being unstructured and invalid data, so the structured, follow-up, and single-disease processing of the data requires a lot of time investment

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