People are always lazy, and they are ill-conceived. Usually we only go to the hospital for examination and treatment if we are sick. The traditional medical diagnosis adopts the non-black and white mode. For some data indicators, the over-range is sick, and no more than no disease. It is a long-term process for people to live from health to unhealthy life. It is not a healthy and unhealthy tomorrow. It is not a sudden change, but a accumulation of time. It is a process of quantitative change.
This requires us to have the ability to predict disease in advance. Big data provides us with a new latitude, can find more causality, find areas that could not be covered in the past, and discover new phenomena. These data will tell us the risks of certain diseases, how we should change, and how to do health management.
There are about 330 million people with high blood pressure in China. Why is there such a high proportion? It is because many people simply cannot know their physical condition in advance and go to the hospital if something goes wrong. So how to respond when the body is in a state of physical signs is crucial.
Chronic diseases such as high blood pressure and diabetes are caused by people destroying their own biological clock. There was no meal at the time of the meal, no exercise during the exercise, and no sleep at the time of the sleep.
Studies have shown that all testers' blood pressures will change consistently three days before the earthquake and return to normal levels at three o'clock after the earthquake. What does this mean? It shows that people are reflective of the external environment, but they can't feel it, but the data can be detected.
Any disease must have signs of change before it occurs, so the most important thing for smart health care in the future is to make early warnings. When we continuously collect and collect a person's blood pressure data, we can see a normal fluctuation curve. When the curve changes, such as the cycle and peak fluctuations, the risk of illness can be analyzed.
In fact, similar studies are being done in Europe, America, and Japan. Through the analysis of a large number of body data, better treatment results and more precise treatment time can be obtained.
User does not need data
The collection of data will be done through wearable smart devices such as smart watches, smart bracelets, smart running shoes and more. But how to let users provide data? How to collect data regularly? It is an important aspect to be considered in the future.
The data collection and analysis of smart wearable devices will be more important than the hardware itself. If you only want users to get data, there is no monitoring and analysis, it is no different from traditional hardware.
In the business model, manufacturers of intelligent hardware should gradually move away from the traditional model of profiting from selling hardware. What users really need is not data, but what do I know about my health now? Is there a risk to health? How to change? Users need this kind of Effective service and willing to pay for this service.
In the Internet era, data is mainly generated in computers. In the era of mobile phones, data mainly comes from mobile phones. In the Internet of Things era, data will mainly come from hardware.
The value and positioning of hardware in the Internet of Things era is different from the traditional one. In the future, hardware as the data entry will get more information. The real core value of hardware lies in the ability to analyze continuous data, including data collection, storage and distribution. Know what you need through data analysis to push things directly to you.
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