Medical laboratory inspection system source code, SaaS mode.Net Core version cloud LIS system source code
SaaS mode. Net Core version cloud LIS system source code, has been operated in third-party rapid inspection laboratories and laboratory departments of secondary hospitals for more than 5 years. The system runs stably, has complete functions, reasonable interface layout, and easy operation. (with demo)
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Cloud LIS system is one of the important components of hospital information management. It is a network management system integrating application, sampling, verification, billing, inspection, review, release, quality control, query, consumable control and other laboratory work. The cloud LIS system is not only a tool for automatically receiving test data, printing test reports, and systematically saving test information, but also an important reference indicator for doctors' scientific research, diagnosis and treatment.
System Features:
1. This set of cloud LIS system adopts the new technical framework of .Net Core, DEV report, front-end js packaging, distributed file storage, distributed cache, etc., and supports LIS independent deployment, Docker deployment and other methods.
2. Dozens of report templates are preset, which supports the issuance of personalized reports and the generation of reports by a separate queue on the server side, and can generate reports in batches within a few minutes.
3. According to the type of inspection, the system is divided into three stages: pre-inspection, in-inspection and post-inspection.
4. Automatic drawing of quality control charts. Support multiple quality control data drawing. That is to say, the three curves of level, high, middle and low can be displayed in one graph at the same time, which is convenient for inspectors to observe the quality control situation.
5. Designed for regional LIS, relying on the underlying cloud architecture, "cloudify" traditional LIS functional modules, establish a regional LIS inspection center, and support appointments, remote access, data sharing, data mining, etc.
