Medical record grouping method and device based on dynamic illness state, equipment and storage medium

Abstract

The invention provides a medical record grouping method, device and equipment based on a dynamic illness state and a storage medium, and the method comprises the steps: obtaining the dynamic medical record of a target patient, and the dynamic medical record of the target patient being used for recording the real-time dynamic illness state information of the target patient; extracting medical record information from the dynamic medical record of the target patient; comparing the medical record information with preset grouping conditions, then when the dynamic medical record of the target patient meets key medical record grouping conditions, classifying the dynamic medical record of the target patient into key medical records, and the processing priority of the key medical records being higher than that of common medical records. According to the medical record grouping method and device, whether the medical record of the target patient meets the key medical record grouping condition or not can be judged in real time, then priority grouping is conducted on the medical record of the patient in time, priority processing of medical staff is facilitated, and therefore the defects that an existing medical record grouping method is slow in updating and inaccurate in grouping are overcome.

Description

technical field [0001] The present application relates to the field of medical care systems, in particular, to a method, device, equipment and storage medium for grouping medical records based on dynamic conditions. Background technique [0002] At present, the medical records of patients are manually classified by medical staff based on their own experience. For example, medical staff can identify which patients are seriously ill based on their own experience, so as to give priority to such patients. However, this manual classification method is easy. Affected by the experience of medical staff, on the other hand, this manual classification method is based on static patient medical record information to achieve medical record classification, so it cannot realize medical record classification according to the dynamic changes of patient medical record information. To sum up, the existing manual medical record grouping has the disadvantages of inaccurate grouping and slow upda...

AI Technical Summary

Problems solved by technology

It is used to realize real-time judgment of whether the medical records of a target patient meet the key medical record entry conditions, and then realize the timely priority grouping of the patient's medical records, so that the medical staff can give priority to treatment, thereby overcoming the slow update existing in the existing medical record grouping method , The shortcomings of inaccurate grouping

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