Hospital-oriented patient abnormal medical treatment behavior detection method and system

Abstract

The invention discloses a hospital-oriented patient abnormal medical treatment behavior detection system which comprises a medical treatment abnormality detection analyzer (1), a data storage platform (2), an identity recognition module (3), a personnel medical treatment data acquisition module (4), a personnel medicine purchasing data acquisition module (5), a health examination data acquisition module (6) and a medical treatment abnormality alarm module (7), wherein the medical treatment abnormity detection analyzer (1) is in data communication connection with the data storage platform (2), the identity recognition module (3), the personnel medical treatment data acquisition module (4), the personnel medicine purchasing data acquisition module (5), the health examination data acquisition module (6) and the medical treatment abnormity alarm module (7). According to the invention, through a big data method, medicine purchasing habits of the user and frequently going hospitals are analyzed, medicine purchasing and hospital portraits of the user are formed, and when personnel go to hospitals or drugstores to purchase medicines, the system checks medicine details and hospitals, so that the situation that non-medical insurance articles are purchased by using a medical insurance card is prevented, and the safety of the medical insurance card is protected.

Description

technical field [0001] The invention relates to the technical field of information technology security, in particular to a hospital-oriented method and system for detecting abnormal medical-seeking behavior of patients. Background technique [0002] Health is an increasingly important topic in people's lives. At the same time, in order to provide universal welfare and ensure that people get medical care, the national medical insurance department proposes a medical insurance system. On the one hand, it hopes to reduce the pressure on medical expenses for medical personnel when they seek medical treatment , to effectively protect people's right to health and medical treatment; on the other hand, the main purpose of implementing medical insurance in the country is to protect people's right to life and medical treatment, and it is hoped that the funds will be earmarked for this purpose. However, there are currently some pharmacies that simultaneously sell drugs and Daily necessi...

AI Technical Summary

Problems solved by technology

[0013] (1) In the prior art, when people go to see a doctor, they swipe their medical insurance card as a means of authentication whether they are entitled to medical insurance. If the patient does not carry the medical insurance card or loses the medical insurance card, he cannot enjoy the medical insurance service. On the contrary, if If you pick up a medical insurance card, even if it is not your own medical insurance card, you can still use it by swiping the card, which leads to the phenomenon that the medical insurance card is stolen

[0014] (2) In the prior art, there is also a system of face recognition for medical insurance cards to prevent fraudulent swiping, but this cannot completely prevent the occurrence of fraudulent swiping by personnel, especially since the amount of the medical insurance card is a special-purpose asset , it needs to be prevented from being used for other purposes, but now some pharmacies buy other medicines that are not covered by medical insurance, but daily necessities, which obviously does not meet the original intention of medical insurance

[0015] (3) In the existing technology, extreme conditions and sudden diseases are not monitored for the body of the personnel. Such diseases are often unpredictable and unpredictable. The image is not accurate, resulting in an error

[0016] (4) In the existing technology, the sales amount of the hospital or pharmacy and the conditions of purchased medicines and diseases are not taken into account. Therefore, the analysis of the personnel's medicine purchase situation alone cannot fully grasp the abnormal medicine purchase behavior, especially the purchase of daily necessities the behavior of

But so far, there is no effective way to solve the above technical problems in the prior art

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