The famous American economist Paul Pilzer reminds people in the "Five Waves of Fortune" to seize an opportunity to get rich: the health revolution. This rich mine is being collectively excavated by various enterprises across industries. Internet giants are busy investing in the medical sector, traditional medical institutions are advancing medical informatization , pharmaceutical companies are trying to save high R&D costs by deploying and using big data, and drug dealers are waiting for opportunities to break through. The wearable device manufacturers that have sprung up and are also helping people use big data to achieve self-health management...
On the one hand, the Chinese national conditions of small running into an aging society, and the traditional medical institutions that are overloaded and bloated, the current medical and health industry has become a continuous sunrise industry. As Ma said, the biggest trouble in China after ten years is the issue of health and happiness. The next person who exceeds him must appear in the health industry. As early as 2013, McKinsey believes that part of the medical industry Big Data revolution has arrived, even has reached a tipping point, because the medical profession has long faced the challenges of massive data and unstructured data.
Big data is detonating the revolution
The American film Gattaca (Natural Man), which was released in 1997, presents a medical form of the future world: the baby will fall into the bed, and the nurse will take out the medical report from the medical machine on the side. The prevalence and incidence of various diseases of the baby in the future, even to the age of death.
This sci-fi movie nearly 20 years ago has an amazing insight into the future world. In 2014, Google X Labs launched the Baseline Study program, which was estimated by the industry as one of Google’s most powerful medical projects: not only medical treatment Experts predict the treatment of major diseases, the ultimate goal is to use the big data analysis to find a healthy and perfect human genetic model.
As described in the movie, in the future, in order to reduce the birth defects and genetic diseases caused by natural childbirth, genetic engineering is used to genetically process unborn babies to ensure that they are genetically human elites.
If Google X's genetic engineering program is still a vision of big data in the human medical field, there is still a distance from the realization, and the real scene may allow us to more realistically see the changes in big data for the current medical health industry. As the source of big data and a global pioneer in the medical industry, the US big data path is undoubtedly the fastest. After Obama took office, he proposed a big data national strategy, and now the value of this strategy is gradually becoming prominent in the medical industry. The McKinsey Global Institute report shows that if the US healthcare industry makes effective use of big data, it can reduce costs by about 8%, creating more than $300 billion in annual output.
According to industry analysts, collecting data is one of the biggest problems in medical research. Supporting an expert to study the formation mechanism of a disease often requires the largest possible case data. Traditional medical research projects usually take years to collect. Thousands of cases, the time span is large and the amount of engineering is large.
In the entire health care industry, only traditional medical institutions hold core data resources. Although the data collected by wearable devices looks beautiful, there are still many problems to be faced. Firstly, medical research requires very high precision for collecting data, which poses a challenge to the accuracy of data collection in intelligent terminal devices. There is no unified data access platform in China. In addition, consumers generally adopt a pre-emptive attitude towards wearable devices. The group of technology experts who first wear Jawbone up may already be in the market.
After the enthusiasm subsided, the handle ring was thrown to a corner, and the premise of big data is that there is a certain scale and data that can be continuously accumulated. For China, breaking the barriers between internal, external, public and commercial has become the primary problem, integrating the information content of different channels, using a unified standard to establish a database of information flow, and calculating and analyzing big data. Provide a pool of information. Of course, it is not enough for medical institutions to input the information they receive into the computer. It is also necessary to use the clinical decision-making system to support the diagnosis and use the clinical analysis system for effect analysis.
"The ideal form is that in the future, you can do a 'medical insurance card' all over the world. No matter which hospital doctor, you can understand the patient's medical history and medication history by brushing the patient's medical insurance card, and analyze it through historical data. In conjunction with the support of the clinical decision-making system, the patient is given advice on medical treatment," said Xu Wei, a global deputy director of Bain Consulting, to the Business School reporter.
There are three levels of health care big data , the first is data collection, the second is data integration and machine analysis, and the third is data intervention. At present, the medical informationization that is being implemented in domestic hospitals is the first-level task. Xu Wei believes that for the domestic medical and health industry, big data is still in the initial stage of data collection and organization. There are currently more than 20,000 hospitals and a larger number of primary medical institutions. There are still a large number of medical institutions that record cases and information in writing. Even medical institutions that have already implemented electronic medical records use different electronic medical records. The system, which brings practical difficulties to the use of data by medical institutions and the future flow of information between medical institutions.
A veteran journalist who has been observing for many years in the medical industry has also revealed his hidden concerns. The domestic medical institutions still have the status quo that information data is not circulated and not shared. There is a lot of room for imagination in medical health big data, but there is still a long process of distance implementation.
BAT's medical entrance dispute
Traditional medical institutions hold the most core clinical data and sample resources, and the urgent task of development is the construction of medical information. And BAT's sprinting in the Internet medical field is already in full swing. However, industry insiders told the "Business School" reporter that BAT is still "squatting at the hospital door". Whether it is online registration or wifi installed in hospitals, it is still in the stage of shallow service, and more plays the role of technical service provider. The BAT Internet medical dispute is still stuck in the peripheral medical services such as platform, entrance, and payment.
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