Medical data heterogeneous fusion governance system and method

Abstract

The invention discloses a medical data heterogeneous fusion governance system, and the system comprises a data acquisition module, a message engine module, a subscription rule base module, a data governance fusion module, a data encapsulation module, a data storage module and a data reading interface. A method using the system comprises the following steps: acquiring medical data through the dataacquisition module; packaging the medical data into data of an HL7V3 type through the message engine module; sorting the data of the HL7V3 type through the data management fusion module according to the data in the subscription rule base module; performing secondary packaging of the sorted data into CDA standard data through the data packaging module; and inputting the CDA standard data into the data storage module for storage, and setting a data reading interface in the data storage module. According to the method, the standards of the medical data are unified, a unified data management process is established, the association analysis of the data can be realized, and the value of the medical data is fully mined.

Description

technical field [0001] The invention belongs to the technical field of medical data, and in particular relates to a system and method for heterogeneous fusion management of medical data. Background technique [0002] With the deepening of hospital informatization, medical information technology has become an important guarantee for hospital operations. The interconnection between systems, the efficiency of data interaction and the degree of sharing have attracted the attention of medical institutions at all levels. At present, there are many informatization business systems in large-scale tertiary hospitals, built by different manufacturers, with different database software, system architectures, and communication protocols. status, and the data of some systems cannot be fully shared and efficiently interacted, which belongs to information island data. [0003] At present, the main problems in the development and utilization of hospital data in my country are reflected in t...

AI Technical Summary

Problems solved by technology

[0005] Most hospitals are still lacking incomplete and inconsistent data management systems, scattered management mechanisms in key areas such as metadata, master data, data quality, and data standards, without effective management tools

At the same time, different departments pay different attention to data, and lack of a global perspective to manage data applications, resulting in the inability to establish unified data management procedures and methods

[0006] 2. Data standards and specifications are not uniform

[0007] There are problems such as data errors and omissions and incomplete data in the process of raw data entry; there is a lack of unified metadata standards, and it is difficult to integrate and associate different data; due to the lack of unified master data management, the core Data entities are difficult to be uniquely identified and updated in real time; data cleaning lacks a unified strategy, resulting in data being cleaned multiple times, and the cost of use is high; lack of metadata and master data standards, even if the data is barely put together, data accessibility It is also very poor, unable to know the exact meaning and specific value range of each field, and it is difficult to find the required data with a simple query; lack of unified data specification and data model

Due to the lack of guiding technical standards and specifications for data privacy management, authority and process of data use, although hospitals have collected and stored a lot of data, they do not know who and how to use the data

[0008] 3. Islands between data

[0009] Data resources are scattered in different business systems, including electronic medical record data, business settlement data, inspection and inspection data, medical research data, resident health records and public health data, etc. Due to the inconsistent data standards of different business systems, each system The generated data can only be used within the system, and data sharing across systems and institutions cannot be realized

Cross-system and cross-organizational data association analysis is difficult, and data value mining and utilization are insufficient

[0010] 4. Data quality lacks effective guarantee

[0012] 5. The value of data has not been fully tapped

[0013] The hospital has a large amount of full-process and full-cycle data on medical diagnosis and treatment, clinical test results, clinical medication, hospital management, etc., which has very high clinical value and scientific research value, and is also an important resource for the application of new technologies such as artificial intelligence in hospitals. Data is difficult to provide strong support for hospital business innovation, and the value of data has not been fully reflected

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