Scientific research data extraction system based on electronic medical records

Abstract

The invention discloses a scientific research data extraction system based on electronic medical records. The scientific research data extraction system comprises a patient subject entering module, a module for checking whether a patient enters a subject or not, a cover writing module, a before-treatment data writing module, an interview record writing module, a halfway exit module, an adverse event writing module, a drug combination writing module, a summary and check writing module and a data collection and report generation module. According to the scientific research data extraction system, automatic generation of the clinical scientific research data based on medical records is achieved by fully using the data extraction and conversion method, clinicians can conveniently achieve medical treatment and scientific research sharing, a large amount of time is saved, dynamic generation of the scientific research data is achieved, and the authenticity, the reliability and the traceability of the data are improved.

Description

technical field [0001] The present invention is a scientific research data extraction system based on electronic medical records, which is used to realize clinical research grouping on the basis of clinical electronic medical records, and to collect patient medical record data (such as hospitalization records, engraved symptoms, physical examination, vital signs, diagnosis, etc.) Information, course records, medication records), LIS system inspection data, PACS system inspection data, HIS system data extraction, and the selection and withdrawal of subjects required for the management of clinical research, subject privacy protection, scientific research data Compositing and printing. It realizes scientific research data information acquisition, aggregation and production through knowledge reconstruction. At the same time, the data acquired by the invention conforms to the scientific research data standards, which is convenient for data exchange and aggregation of domestic and ...

AI Technical Summary

Problems solved by technology

At the same time, it solves four problems faced by clinical data: ① the inconsistency of the same type of data caused by different detection methods in clinical data; ② the problem of privacy protection of subjects in the process of clinical research; ③ the problem that scientific research data cannot be dynamically generated; ④ The problem of poor authenticity of scientific research data

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