Hospital data fusion system and method, electronic device and storage medium

Abstract

The invention discloses a hospital data fusion system including a model engine, a data engine and a hospital data integration system. The model engine creates an MDT uniquely corresponding to the medical concept in a natural language in the medical field, and establishes a medical conceptual model; the data engine converts the MDT into a data type supported by a relational database; and the hospital data integration system reads heterogeneous data through an MDT mapping technology, uses an ETL function module to extract the heterogeneous data, and integrates the heterogeneous data into standard data. The invention further discloses a hospital data fusion method, an electronic device and a storage medium. The heterogeneous data of the heterogeneous systems in a hospital are fused through the hospital data integration system. By using domain-specific dynamic concept modeling, data integration based on an integrated model is realized, and cross-system integrated data integration is realized. 'Information island' is eliminated in the data layer. The problem about deep integration, expansion, maintenance, upgrade and evolution of historical data is solved.

Description

technical field [0001] The invention relates to the field of hospital data processing, in particular to a hospital data fusion system, method, electronic equipment and storage medium. Background technique [0002] At present, the domestic medical regional data platform generally adopts the traditional front-end computer technology, refer to Figure 5 , the front-end mode is mainly to deploy the equipment in various medical institutions and connect with the medical systems that have been used. The business data generated by each system is transmitted to the equipment for storage. The front-end is based on the set interval date and data format, and report to the data center of the upper-level platform in a unified manner. However, after long-term implementation in many places, it has been proved that this model has major disadvantages: due to the low quality of data, the data in the data center of the upper-level regional platform cannot be trusted, and the front-end computers...

AI Technical Summary

Problems solved by technology

However, after long-term implementation in many places, it has been proved that this model has major disadvantages: due to the low quality of data, the data in the data center of the upper-level regional platform cannot be trusted, and the front-end computers in medical institutions and the upper-level regional platform lack supervision, deployment and management. Mixed with human factors, resulting in low credibility of the uploaded data, the main problems are summarized as follows:

From the perspective of system architecture, heterogeneous systems are directly exposed to the overall architecture of the data platform, which is also a "taboo" in large-scale information system architecture. The instability of any heterogeneous system may cause the instability of the entire system;

[0004] 2. Hospitals are the backbone of the regional medical and health system, but for many large tertiary hospitals in China, the current regional medical and health informatization can bring very limited direct benefits, and the way of data processing through interfaces is also significant Increased the burden and complexity of hospital informatization, especially when the data requirements of the regional system change frequently, and the multiple releases of data interfaces also affect the efficiency of hospital system operation;

[0005] 3. Data front-end processor technology may be suitable for small-scale regional medical data projects, but when the scope of medical areas gradually expands from small areas to districts, cities, or even provinces, countries, etc., the central data platform cannot regularly complete the reporting of heterogeneous data. A large number of non-standard data are stored in the platform, which seriously reduces the availability and credibility of the data in each system, and causes a waste of medical resources.

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