A method and cloud platform for collecting, analyzing and managing chronic disease medical data

Abstract

The present invention discloses a chronic disease medical data collection, analysis and management method and cloud platform based on data analysis and cloud computing. Through processing and analysis, the average medical expenses and the average medical effect coefficient of chronic disease patients with various chronic disease types corresponding to various medical history durations in each hospital are obtained. Long-term hospital collection, comprehensive sorting of hospitals in the hospital collection, and then storing the sorting results in the chronic disease medical management platform, providing chronic disease patients with chronic disease retrieval needs, and realizing the intelligent matching recommendation for chronic disease patients. The principles of treatment efficacy and economy in the choice of medical treatment for patients with chronic diseases have greatly improved the medical experience of patients with chronic diseases.

Description

Technical field [0001] The invention is a chronic disease medical data management technology field. Specifically, it involves a chronic disease medical data collection analysis and management method and cloud platform based on data analysis and cloud computing. Background technique [0002] Chronic diseases are a disease that is hidden and cannot be cured in the short term, such as diabetes, cardiovascular and cerebrovascular diseases, and chronic respiratory diseases. With the development of my country's socio -economic development and the changes in people's lifestyle, chronic diseases such as cardiovascular and cerebrovascular diseases, diabetes and other types have become a serious challenge that affects the health and economic and social development of residents in my country. The number of chronic diseases has increased significantly. Essence But not all patients with chronic diseases need to go to the hospital for treatment. For patients with mild chronic diseases with rel...

AI Technical Summary

Problems solved by technology

On the one hand, this blind selection method may cause a situation where the chronic disease type of the chronic disease patient does not match the type of chronic disease that the selected hospital is good at treating, resulting in poor treatment effects and a long treatment period; on the other hand There may be a situation where the treatment costs that patients with chronic diseases can afford do not match the charging standards of the hospital they choose, causing patients to interrupt treatment due to overwhelmed treatment costs, which greatly affects the medical experience of patients with chronic diseases

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