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 Yun said, the biggest trouble in China after ten years is the issue of health and happiness. I believe that the next person who surpasses 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 projects in medical care: 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 a lack of a unified data access platform in China. In addition, consumers generally adopt a pre-emptive attitude towards wearable devices. The group of technology experts who wear Jawbone up first may have lost their hands to somewhere after the enthusiasm has subsided. The corner, while the premise of big data is that there is a certain scale and data that can continue to accumulate.
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