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Knowledge-based electronic medical record quality control method

The invention discloses a knowledge-based electronic medical record quality control method. The method includes: by a closed loop type design structure, designing and making quality control semantic judgment rules and inputting time limit rules in an initial stage; allowing middle-stage data to enter a mobile terminal taking Raspberry Pi as a key design, wherein an analysis module combined with the NLP (natural language processing) natural language learning technology is embedded in the terminal; after quality control is finished, uploading synchronous data to a data center for storage and management; by the data center, acquiring common templates in medical record data by means of big data analysis, establishing an error correction knowledge base, and designing and constructing a database and an integrated environment to realize data sharing with internal modules of an error detection quality control terminal. By adoption of the knowledge-based electronic medical record quality control method, data of the data center are sampled and inspected regularly to further guarantee data correctness. Therefore, error detection, integration and analysis of structural medical record data can be realized, mass data and artificial intelligence processing technologies under an intelligent medical environment are utilized completely, medical record quality control cost is reduced, construction of the error correction knowledge base is realized, and quality control algorithm and rule quality is improved.
Owner:江西中科九峰智慧医疗科技有限公司
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