The invention relates to the field of
artificial intelligence and digital
medical treatment, is applied to the field of intelligent
medical treatment, and discloses a medical data
anomaly detection method, device and equipment and a storage medium. The method comprises the following steps: receiving hospitalization medical data, and inputting the hospitalization medical data into a preset judgment engine for
verification; if the check of the judgment engine is not passed, determining that the hospitalization medical data is abnormal data; if
verification of the judgment engine is passed, taking the hospitalization medical data passing
verification of the judgment engine as to-be-processed data, and performing
disease name extraction on the to-be-processed data by utilizing a
disease theme extraction model; according to the
disease name, obtaining an identification model, inputting the to-be-processed data into the identification model for
abnormality judgment, and determining whether the to-be-processed data is abnormal data; and when the to-be-processed data is abnormal data, outputting the corresponding to-be-processed data. The invention further relates to a block chain technology, and hospitalization medical data is stored in
blockchain. The abnormal data in the hospitalized medical data can be accurately screened out.