Abnormal medication behavior detection method and system

Abstract

The invention relates to the technical field of medicine prescription anomaly detection, and particularly discloses an abnormal medication behavior detection method. The method comprises the followingsteps: classifying and analyzing acquired diagnosis data according to disease types to obtain medicine details corresponding to different doctor-seeing numbers under each disease type; acquiring a prescription database corresponding to each disease type according to the medicine details; obtaining a medicine combination according to the full medicine set corresponding to each disease type, and screening out a common medicine combination with the common degree greater than or equal to the minimum support degree from the medicine combination; according to each prescription under the corresponding disease type and the medication mode corresponding to each disease type, calculating the medication conformity of each prescription corresponding to the corresponding disease type; and judging whether the current medication behavior is abnormal or not according to the medication conformity of each prescription corresponding to the corresponding disease type. The invention further discloses an abnormal medication behavior detection system. According to the abnormal medication behavior detection method provided by the invention, whether the prescription has the violation risk or not is judgedby calculating the conformity of the single prescription and the medication mode.

Description

technical field [0001] The present invention relates to the technical field of abnormal drug prescription detection, and more specifically, to a method and system for detecting abnormal medication behavior. Background technique [0002] Since the establishment of the basic medical security system, the coverage has been continuously expanded, and the level of security has been steadily improved. It has played a positive role in safeguarding the health rights and interests of the people, alleviating poverty due to illness, and promoting the reform of the medical and health system; however, due to the imperfect regulatory system and incentive constraints Restricted by factors such as imperfect mechanisms, the use efficiency of medical insurance funds is not high, fraud and insurance fraud are common, and the situation of fund supervision is relatively severe; at present, there are drug abuse and irrational use in the medical field, resulting in unreasonable medical expenses Gro...

AI Technical Summary

Problems solved by technology

[0002] Since the establishment of the basic medical security system, the coverage has been continuously expanded, and the level of security has been steadily improved. It has played a positive role in safeguarding the health rights and interests of the people, alleviating poverty due to illness, and promoting the reform of the medical and health system; however, due to the imperfect regulatory system and incentive constraints Restricted by factors such as imperfect mechanisms, the use efficiency of medical insurance funds is not high, fraud and insurance fraud are common, and the situation of fund supervision is relatively severe; at present, there are drug abuse and irrational use in the medical field, resulting in unreasonable medical expenses Growth has brought great harm and burden to the safety of individuals, families, and medical insurance funds. However, hospitals generate a large amount of medical data every day, and the drugs prescribed for different patients with the same disease may be different. Traditional rules and manual sampling are difficult. Guaranteed accuracy and coverage

[0003] Although the drug use of the same disease will be affected by some factors (age, gender, medical unit, etc.) There is a certain similarity in the knowledge of the disease, so there is a certain regularity in the drug use of the disease; most of the drugs in a prescription should be regarded as reasonable behaviors in the common drug use mode of the disease, on the contrary, if most of the drugs If the medicine is not in the common medicine of the disease, the prescription has the risk of violating the regulations

[0004] Association rules can be used to effectively identify commonly used drug patterns for different diseases, but traditional association rule algorithms cannot identify the degree of conformity between a single prescription and commonly used drug patterns

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