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A medical system large data stand-alone integration method and device

A technology of medical system and integration method, which is applied in the field of big data stand-alone integration of the medical system, can solve the problems affecting the scientificity and accuracy of medical equipment, the difficulty of benefit analysis of stand-alone equipment, and the lack of reflection, so as to reduce the workload and errors of manual statistics , to achieve the effect of refined management

Inactive Publication Date: 2019-03-12
佛山市第二人民医院
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AI Technical Summary

Problems solved by technology

At present, the actual operation of medical equipment economic benefit analysis is relatively complicated, lacking the support of relevant software and systems
The information system can only provide simple data of inspection income and person-times, and lacks the reflection of single equipment benefit data
These have greatly affected the scientificity and accuracy of the economic benefit analysis of medical equipment
At present, the hospital HIS system charges for medical equipment inspection and treatment based on the medical service prices of non-profit medical institutions. Each medical service price item has "financial classification", "billing code", "item name", "project Connotation", "Exclusions", "Pricing Unit", "Price", "Description" and other columns basically do not correspond to the data of stand-alone equipment, which brings great difficulty to the benefit analysis of stand-alone equipment

Method used

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  • A medical system large data stand-alone integration method and device
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Embodiment Construction

[0037] The concept, specific structure and technical effects of the present disclosure will be clearly and completely described below in conjunction with the embodiments and drawings, so as to fully understand the purpose, scheme and effect of the present disclosure. It should be noted that, in the case of no conflict, the embodiments in the present application and the features in the embodiments can be combined with each other.

[0038] Such as figure 1 Shown is a medical system big data stand-alone integration method and device work flow chart according to the present disclosure, combined below figure 1 To illustrate the user preference analysis method according to the present disclosure.

[0039] The disclosure proposes a method for single-machine integration of big data in a medical system, which specifically includes the following steps:

[0040] Step 1, connect different interface adapters corresponding to different interfaces of each subsystem of the medical system; ...

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Abstract

A medical system large data stand-alone integration method and apparatus are provide, integrating data interfaces of medical big data between multiple different systems on a stand-alone basis, Changing medical big data problems such as data inconsistencies from different systems, to realize single disease accounting for hospital, Clinical pathway management provides effective data integration, reduces manual statistical workload and errors, and realizes integrated management of hospital and department data. When the data increase greatly, it enhances the system scalability, flexibility and stability requirements of business data after the integration of HIS, PACS, LIS, CDSS and other systems.

Description

technical field [0001] The present disclosure relates to the field of medical system big data integration, in particular to a medical system big data stand-alone integration method and device. Background technique [0002] At present, the HIS system (hospital management information system) includes medical imaging information system PACS (PictureArchiving and Communication Systems), clinical information system (Clinical Information System, CIS), radiology information system (Radiology Information System, RIS), laboratory information system ( Laboratory Information System, LIS), Clinical Decision Support System (Clinical Decision Support System, CDSS), among them, the information system directly related to medical activities is called medical system. Including medical expert system, auxiliary diagnosis system, auxiliary teaching system, critical patient monitoring system, drug consultation and monitoring system, and some special diagnosis and treatment systems, such as CT (co...

Claims

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Application Information

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IPC IPC(8): G06F16/25G16H40/20
CPCG16H40/20
Inventor 鹿奉华陶俊义黄嘉诚陈逸安梁先荣黄健
Owner 佛山市第二人民医院
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