Medical health data uploading management platform

Abstract

The invention relates to a medical health data uploading management platform, which comprises a control processor, and a data source module, a project module, a code matching module and a data quality module which are connected with the control processor, and is characterized in that a historical database and an annotation database are arranged in the data source module; wherein a regional project list, a hospital data set, a data query module and a data analysis module are arranged in the project module, the code matching module enables the hospital data set in the project module to complete code matching work on a unified standardized platform, automatic matching is performed according to similarity, and a data report is convenient to upload; the data quality module is internally provided with a verification module, and the verification module is internally provided with a common verification logic function. The invention is for full-life-cycle management of data uploading, multiple core functions of data extraction, cleaning, dictionary transcoding, data quality verification, data uploading and the like are achieved, and full-life-cycle monitoring of the data is achieved through an elasticsearch log service in the full life cycle.

Description

technical field [0001] The invention relates to the technical field of medical data management, in particular to a medical and health data upload management platform. Background technique [0002] In order to promote and standardize the development of health and medical big data applications, Jiangsu Province has carried out large-scale data quality audits and rectification work across the province since August 2019. The data rectification work still requires the hospital's business system manufacturers and business departments , information department, medical affairs department, etc. participated again, which virtually brought a larger workload and work pressure to the hospital. The applicant found that many data problems could be completely avoided at the beginning, but because a complete set of data audit mechanism was not established at the beginning and the engineers were busy with complicated ETL issues, so the energy devoted to the data audit itself was limited. I a...

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Problems solved by technology

The applicant found that many data problems could be completely avoided at the beginning, but because a complete set of data audit mechanism was not established at the beginning and the engineers were busy with complicated ETL issues, so the energy devoted to the data audit itself was limited. I also noticed that there is no unified standard for the logic of data auditing. Many verifications can only stay on the surface of the data and cannot be in-depth. The flexibility of data verification rules is very low, and it is impossible to customize them for different hospitals.

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