A method for integrating distributed electronic medical record data

Abstract

The invention discloses a method for integrating distributed electronic medical record data. The method comprises the following steps: step S1, defining a data standard of a document index; S2, establishing a data center for storing a document index; S3, searching for the document index of the data center to obtain the corresponding medical information. The integration technology of document indexbookkeeping and document data distributed storage has obvious technical advantages compared with the centralized clinical data center technology mode.

Description

technical field [0001] The invention relates to the field of big data technology, in particular to a method for integrating distributed electronic medical record data. Background technique [0002] With the popularization of "Internet + medical and health" services, medical and health services have broken through the walls of hospitals, and all medical services will no longer be limited to a single medical institution. Collaboration between medical institutions and doctors using the Internet to achieve pre-diagnosis for patients The continuous service during, during and after the diagnosis will become a new model of medical and health services in the future. Therefore, the medical record data generated by patients in various medical institutions and various forms of medical services must be integrated and shared in order to better achieve the continuity and effectiveness of collaborative services and health services. Therefore, the integration of electronic medical record d...

AI Technical Summary

Problems solved by technology

In this technical solution, various systems of medical institutions are required to convert and upload regularly according to unified data standards. Due to the complex structure and variety of electronic medical record data, it is necessary to define the structural standards of hundreds of medical documents and make each A system converts and uploads according to it, and its workload is huge, which leads to slow progress in the promotion process. Even the integrated data has problems such as incomplete data and low accuracy.

[0004] (2) The amount of data is large, the integration efficiency is not high, the practicability is not high, and the cost is huge

Due to the large amount of data in electronic medical records, especially a lot of medical imaging data, real-time transmission is not realistic. Therefore, this technical solution can only upload and integrate data regularly at night, but this leads to a lot of data sharing that cannot be realized in real time. The scene requirements of the service, and the storage equipment and network equipment required by the data center are very high, and the investment cost is huge

[0005] (3) Data security and privacy protection are more difficult

Since this technical solution uses centralized data storage, data security and privacy protection are guaranteed by the data center, so the risk of data is relatively high

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