The relationship between medical care and the future of large data

Almost everyone in the medical or health field we visit has mentioned one word: Subversion. In the past, "health care" and "health" were used as two different areas, but because of the existence of large data, they will be interlinked. An idealized state is: from "wearable equipment" or other terminals to collect human physiological data, automatically into the cloud, data analysis and processing, and then to the results of the doctor, the latter give a diagnosis or rehabilitation recommendations.

This "closed loop" can be done daily, such as daily health supervision, exercise and dietary guidance, or the day-to-day management of chronic diseases such as hypertension and diabetes, and may even be able to tailor their own health records to everyone.

For the future of big health data, entrepreneurs have an imagination and a worry. How idealistic is it? What are the difficulties of implementation?

Spring Rain Palm Doctor founder Rui

Data is conducive to finding the cause of disease prevention

To discuss the "big data" problem of health or health, I think there is a prerequisite: no disease is accidental. Every disease has its causes, such as genetics, the environment, and the habits of life. Traditional medical thinking is to help you heal, but if you can find out the cause of the disease, the first can let people live longer, the second can live better, third can be lower cost. Now some people in the health management industry want to do it.

Taking heart disease For example, if you can accumulate your heart rate and heartbeat data that lasts long enough, you may be able to monitor and control the timing of your heart attack. For example, we have seen many cases of sudden death, which can be avoided if monitored 24 hours in advance.

You see the trend of foreign development, not get sick and then collect data, but before I can collect all your daily health data. So how does this data be collected? Google Glass is actually a huge collector, "wearable equipment" is also, the latter is aimed at the health market is completely. In fact, the ideal state is that everyone should collect a part of their daily data, just as girls know their menstrual period.

There is also a focus on data analysis and interpretation. In the hospital, the doctor will take the patient's film to see, the future of the reader is not necessarily the professional physician, may be some professionals, such as weight loss trainer, or even consumers themselves. Data interpretation can be completed by intelligent matching, using machines for data analysis.

The so-called health large data collation, including the EHR (Electronic Tiyatien Records, electronic health files) and EMR (Electronic Jude Records, Electronic Medical Records), "Obamacare" is actually the issue of EHR. There are only two projects in the United States where the country is investing money in large numbers, one is the space program and the other is the EHR.

I think there is a trend, but it may be very remote: health information gathering and analysis professionals will always exist, institutions may disintegrate, one day the hospital will disappear, doctors will be freed from the institutional shackles.

Now we are in the Golden Age, an inflection point, because the advent of mobile Internet, your mobile phone may be more powerful than you. It's all about health and big data, based on how we understand the basics of mobile internet.

Addicts founder Bei

Computerization reduces reliance on doctors and hospitals

If returned to 30 years ago, there is a group in China is "village", to the whole village health management contribution. They will have a cumulative memory of the diseases of the long serving villagers. Up to now, the Chinese doctor is basically one-time, sick to find a hospital, and the data between the big hospital is not docking, this is a very large data gap.

Future medical data can solve this problem. You do not have this data base, do telemedicine is more difficult, can only look at an independent indicator, three years ago, you do not have the indicators. I think it's a revolutionary thing and it can even subvert the industry.

"Wearable equipment" is important, it is possible to take a bath in the future without taking it off, the monitoring of a certain disease can be very nuanced. Chinese hypertensive patient has 100 million people, latent hypertension also has 100 million, these 200 million people if all wear a "high blood pressure watch" or what product, you do this 200 million person's health management is enough, this business is very big. And your product, the key is the technical is not stable, qualified, backstage management is not able to provide customers with data analysis and reminders, such as blood pressure to reach a critical value, is not able to remind him.

One of the great benefits of data-making is that it allows an unprofessional person to become a professional in a very short period of time. You raised a question, I must have a answer, this is called hundred answer, big deal "thousand answers." You are here about the health of the data came in, consulting health problems, my computer that one side of the answer to show the problem.

But in the chain of healthy big data, the more the link of transmission or analysis, the more difficult it is to realize. We have a very important point in the study of business models to reduce dependence on people, whether they are private doctors or medical institutions. Because doctors are always scarce resources.

If you can connect all the data interconnection, later you hold an ID card, no matter where to go to see a doctor, you can start from birth, including vaccination of BCG to now all medical records are detected. This is an idealized idea. But it takes time and enough determination.

The founder of Zhangjian

Chinese people are more passive about health data

Our original goal is to do health management, in fact, the first contact is all medical. Medical care is a very deep water industry, doctors in the health of 70% of the interests of the guide, in the entire industry, most of the interests of the doctors to pry. And as far as I know, many hospital departments and departments between the data are not common. Obama spent 70 billion dollars for four years to unify U.S. medical data, do you want to do it in China? How long will it take?

Physiological data for some high-risk groups, is high blood pressure, diabetes, but also include pregnant women, are very important. But for a healthy person who is alive and kicking, it may not be easy to use. For example, the motion data, "wearable device" is actually measured by the various data when people are exercising. But I think Fitbit in China is not easy to do well, because the Chinese in the heart is not love sports. You go to see China's Gym, 2002 is very hot, now mergers and acquisitions, death.

Western Health is sports, and the Chinese people's health is eating out. So our products pass some physical signs and other data in our daily lives, for example, what kind of food do you like to eat, then you may not have a good cervical vertebra, through this data as far as possible to do some prediction or predict, as prescribed, give you some options, or I would recommend that there are 10,000 people like you, do this thing, The Constitution really improved.

Big data is the current trend. The Western "Health kinematics" will guide you, such as running 5 kilometers on the first day, running 10 kilometers the next day, and having such a set of logic; One microblog said that Westerners live in the data, the Chinese have no concept of data, the Chinese may be more inclined to say what I can achieve, and then I get through the data how to achieve.

Liu Assistant vice president of marketing and general manager of Beijing District

Health data can be measured, but may not be used in the medical environment

From the perspective of a sales department head of a company that has always wanted to do health management, my personal opinion is this: the broad sense of health management involves chronic disease management, the patient's clinical symptoms may have been not obvious but to maintain the monitoring status, actually involves medical behavior, in case of danger, need to hospital rescue.

Telemedicine can also collect data in the past, but when the data is fed back to the other end, there is a big potential risk: To do a mobile medical module of a professional company, monitoring the accuracy of data is far from expectations. For example, do heart rate monitoring, the results often do not reach the clinical diagnostic criteria, so can only do some very basic ECG monitoring, now the single guide may not be a problem, but the multiple-lead electrocardiogram will have problems. If a doctor makes a diagnosis based on Tan Yi data, what do you think?

In fact, the diagnosis is a very complicated matter, Chinese medicine said "Hango", Western medicine also need to see how the whole situation. If there are 1000 cases, 999 is no problem, only 1 are misdiagnosed, it is also unbearable. A few years ago, companies were pushing this model, and so far it has not become a climate, it may take 5 years.

My idea is more rigorous, if just put my data upload, evaluate my health status and trends, I think it is possible.

Now the popular term is "mobile medicine", then the rise can be called "intelligent medicine." However, the existing hospital information can not be shared, including his system and medical records system. The biggest problem with health care is privacy, and it seems hard for the government to hand this information over to a company. So I'm not so optimistic about the docking of data.