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A medical information and query system technology, applied in the field of medical information query, can solve problems such as low efficiency and complex medical information query
Active Publication Date: 2017-10-10
BOE TECH GRP CO LTD
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[0005] Embodiments of the present invention provide a medical information query system and method to solve the problem of complex and inefficient medical information query in the prior art
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no. 1 example
[0028] The first embodiment of the present invention discloses a medical information query system. The medical information query system can be connected with external devices through the Java interface. Such as figure 1 As shown, the medical information query system includes: a rule engine module 1 , a decision support module 2 and a graph database module 3 .
[0029] Among them, the rule engine module 1 is used to receive clinical data and obtain query rules matching the clinical data.
[0030] The clinical data may be the patient's basic signs, test results, and the like. The query rules can reflect the clinical data and the processing method of the corresponding clinical data.
[0031] The rule engine module 1 adopts an application framework that accepts data input, interprets business rules, and makes business decisions according to the business rules. For example, rule engine module 1 adopts Drools framework. As the core framework of the system, the Drools framework ...
no. 2 example
[0070] The second embodiment of the present invention discloses a medical information query method. Such as Figure 4 As shown, the method specifically includes the following steps:
[0071] Step S401: Receive clinical data.
[0072] The clinical data may be the patient's basic signs, test results, and the like.
[0073] Step S402: Obtain query rules matching the clinical data.
[0074] The query rules can reflect the clinical data and the processing method of the corresponding clinical data. For example, if the clinical data is: the blood glucose is higher than 7.0 mmol / L 2 hours after a meal, the corresponding data processing method is the matters that should be paid attention to corresponding to the blood glucose value.
[0075] Step S403: Query the medical information corresponding to the query rule in the graph database.
[0076] Among them, the graph database includes multiple nodes and directed line segments connecting nodes. Nodes are used to represent clinical fac...
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Abstract
The embodiment of the invention provides a medical information querying system and method. The system comprises a rule engine module, a decision supporting module and a graph database module. The rule engine module is used for receiving clinical data and obtaining querying rules matched with the clinical data; the decision supporting module is used for searching a graph database stored by the graph database module for medical information corresponding to the querying rules obtained by the rule engine module. According to the medical information querying system and method, loads of the rule engine module can be relieved, the task requirement of the decision supporting module can be rapidly responded to, and the efficiency is high; meanwhile, the rule engine module and the graph database module are not coupled, the system development and maintenance complexity is simplified, the storage space is saved, and the querying time is shortened; in addition, the graph database is adopted for storing medical information, so that querying is performed more conveniently and rapidly.
Description
technical field [0001] The invention relates to the technical field of medical information query, in particular to a medical information query system and method. Background technique [0002] In 1978, S. Morton defined Decision Support System (DSS) for the first time as: "Assist managers in the decision-making process of semi-structured problems, support rather than replace managers in making judgments, and improve the effectiveness of decision-making. Not an efficient computer application system". In the 1980s, DSS achieved significant development. On the one hand, it began to expand to unstructured decision-making problems; on the other hand, it has also made great progress in human-computer interaction. Since then, DSS has been generally defined as a computer application system that assists decision makers in semi-structured or unstructured decision-making through human-computer interaction through data, models, and knowledge. [0003] With the development of artificia...
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