When smart bracelets and watches are wrapped around our wrists, we are always generating health data and are willing to let the data guide our way of life. On the other hand, the electronicization of medical information has begun to be robust, and medical data may become as collectable and integrated as data in the fields of e-commerce, sports, and security. But specific to the health care data itself, the problem is coming. Some people are beginning to struggle with whether the amount of data is large enough and whether the quality of the data is good enough. Medical health big data is the key investment direction of Fengrui Capital. In this report, Fengrui Capital Medical Group explores the comparison between medical health big data and us, what is meant for the future, the development of medical health big data, and how we can sort out the data and use it effectively. China and the United States medical health big data report How to examine health in multiple dimensions? Human's appeal to health has long evolved from disease-free and painless to the pursuit of great health (including health, health, fitness), which means multi-dimensional examination of health. Factors such as genetics, personal lifestyle, and medical care all affect people's health. In recent years, a frequently cited factor is the environment. Although individual differences are large, factors affecting broad and narrow health will be treated with caution in the future. The visible trends are: 1. Although the average ratio of genetics and medicine is not the largest, it is undoubtedly increased because it may be fatal to individuals. 2. In the past, the environment and personal lifestyle were considered to be the icing on the cake, but now people are willing to invest more in new health claims. 3. Different factors may exist independently or have strong correlations, and the connection between the factors can get global information. If we have good medical health big data, the future application scenarios are mainly the following three aspects: 1. Quantify people themselves: Use static or dynamic data to define a person's current metrics anytime, anywhere. Human genes and various signs are the basic representation; human life habits and surroundings are auxiliary dimensions. 2. Intelligent Medicine: Conducting smart medicine on the basis of deepening evidence-based medicine: perfecting treatment based on a large number of patient history in the past; predicting the future based on quantified human and disease history. 3. Provide factual evidence for the input and output of health care institutions: health insurance and commercial security protection and claims design; input and output of pharmaceutical and device companies; efficiency and effectiveness of medical institution services. However, we are still far from the ideal state. Fortunately, we are always producing health data, and the whole society is precipitating these data. If there is better data collection, sorting, integration, and mining, we can see the data that is better organized. The first step towards health.
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