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.