Patient health big data self-management system and method thereof

Abstract

The invention discloses a patient health big data self-management system and a method thereof. The patient health big data self-management system comprises a patient diagnosis and treatment data integration system, a health big data evaluation system, a daily data recording and monitoring system and a disease emergency intervention system. The beneficial effects of the invention are that: a self-management platform of the patient health big data is constructed, systematic management and analysis of the patient self-health big data are achieved, the patient precision management efficiency, especially the efficiency of new coronal pneumonia epidemic situations and other emergency states, is improved, a reference basis is provided for precision and efficient management of chronic diseases, and scientific construction of a medical system in China is accelerated and promoted.

Description

technical field [0001] The invention relates to a patient health management system, specifically a patient health big data self-management system and a method thereof, belonging to the technical field of medical management systems. Background technique [0002] Chronic diseases are short for chronic non-communicable diseases, including cancer, kidney failure, diabetes, high blood pressure, etc. At present, chronic diseases, including cancer patients, have entered the era of full management. Taking breast cancer as an example, in the long-term follow-up diagnosis and treatment of patients, a large amount of fragmented health data will be generated. How to realize real-time and orderly management of these data is of great significance for comprehensive understanding of patients' conditions and accurate diagnosis and treatment. However, the overall education level of patients with chronic diseases such as breast cancer in my country is not high, and the popularization of medic...

AI Technical Summary

Problems solved by technology

First, the medical information data coordination and sharing mechanism still needs to be improved. The diagnosis and treatment information data of various medical platforms, different regions, and different levels of hospitals cannot be effectively connected, and data sharing cannot be realized in real time, resulting in repeated diagnosis and treatment of patients, excessive diagnosis and treatment, and aggravated the burden on patients. It is also not conducive to online and offline diagnosis and treatment, and precise policy implementation; second, breast cancer patients need to improve their awareness of disease and self-health data management. At present, the management of breast cancer mainly adopts the combination of prevention and control, and the whole process of management In the long-term follow-up of patients, a large number of fragmented and messy health data are generated. How to effectively organize and scientifically manage these data is an urgent problem to be solved in clinical practice. For example, patients carry a large amount of medical data when visiting the clinic , not only easily lead to the loss of diagnosis and treatment data, but also increase the financial burden of patients, which is not conducive to efficient and accurate diagnosis and treatment of doctors, and indirectly causes a waste of medical resources; third, the level of online medical resources is uneven, and there is no Standard operating procedures (SOPs) are also difficult to achieve information sharing and intelligent analysis

With the development of Internet technology, the online diagnosis and treatment platform has become one of the important ways to solve the medical needs of patients. However, there is no effective connection between the online medical platform and the hospital and the medical insurance department, and there are differences in technology and management levels between the various platforms. It is very large, and it is impossible to realize patient information sharing, let alone intelligent analysis, and it is difficult to achieve precise treatment and precise policy implementation

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