Method for adaptively adjusting medical insurance coverage strategy

A technology of self-adaptive adjustment and medical insurance, applied in the field of medical big data to achieve the effect of guaranteeing life and health

Inactive Publication Date: 2019-08-16
中康龙马(北京)医疗健康科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, under the condition of unequal resources, the limited level of the medical field cannot keep up with the rapi...

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  • Method for adaptively adjusting medical insurance coverage strategy
  • Method for adaptively adjusting medical insurance coverage strategy
  • Method for adaptively adjusting medical insurance coverage strategy

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Embodiment Construction

[0027] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0028] The present invention provides such figure 1 A method for adaptively adjusting the medical insurance coverage strategy shown includes the following steps:

[0029] S1. Step S1. Collect the basic medical information of the patients, including name, gender, age, income level, type of medical insurance, the proportion of individual medical insurance financing to the total medical insurance financing, and the proportion of individual medical insurance finan...

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Abstract

The invention discloses a method for adaptively adjusting a medical insurance coverage strategy and specifically relates to the field of medical big data. The method comprises the following steps: S1, collecting basic doctor-seeing information of a patient, wherein the information comprises names, genders, ages, income levels, types of medical insurance, proportion of personal medical insurance financing to total medical insurance financing, proportion of personal medical insurance financing to income of the personal income, and disease conditions; and marking the collected information as state information of a training sample. In the invention, through collecting doctor-seeing information of patients, a state-action-feedback sample set is constructed, a deep reinforcement learning neural network is designed, the neural network is trained, a medical insurance coverage strategy capable of being adjusted in a self-adaptive mode is obtained, different crowds can obtain better health medical guarantees, the medical insurance coverage strategy is adjusted in a self-adaptive mode, and the healthy life level of people is guaranteed.

Description

technical field [0001] The present invention relates to the field of medical big data, and more specifically, the present invention relates to a method for adaptively adjusting medical insurance coverage policies. Background technique [0002] When the society is developing towards a better direction, medical insurance is indispensable as an important part of social security. To a certain extent, the development of the medical insurance system has also affected the allocation level of medical resources, national health conditions, and even the socio-economic development of the population. However, under the condition of unequal resources, the limited level of the medical field cannot keep up with the excessive growth of medical demand; at the same time, the poor population's demand for medical security is facing more long-term problems. Under such circumstances, how to timely and adaptively adjust the medical insurance coverage strategy to ensure people's healthy living sta...

Claims

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Application Information

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IPC IPC(8): G06Q40/08
CPCG06Q40/08
Inventor 汪娟英熊方舟杨旭袁野叶晓龙柳振宇
Owner 中康龙马(北京)医疗健康科技有限公司
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