Realizing smart medical big data in the future is crucial
And what are the three core keywords of big data? How to do big data projects? How to use smart data to achieve smart healthcare ? For these questions, Liu Shiping also gave his opinion in the speech. The following is a record of this speech. In terms of smart medical care, two points are very important. One is the hospital and the second is the medicine. Most hospitals in our country are still public hospitals. The important problem in hospitals is that the government is planning. What do we do now? We mainly do big data. How to do it? One of the most important issues is solving medical care. Big data is doing three services. What is the first service? Serve the city government within the city, as well as the various commission offices. What is the second service? Serve enterprises and institutions inside the city. What is the third service? Serve the city's citizens. As long as the statistical planning and supervision aspects, the service of urban enterprises and institutions is mainly to collect all the data of the city, including industry and commerce, taxation, overseas, and then public security, medical care, health, education and so on. We rate all businesses. After the completion of the evaluation, the banks and financial institutions will be promoted to serve the small and medium-sized innovation enterprises, and at the same time, the services of the insurance business and the wealth management services such as these will serve the citizens of the city. Closely related to today, how to do it from medical care? It is very important to have medical care in the city, hospital distribution and urban population structure. Our approach is simple. The first thing is to make a layer like all the medical facilities in the city. How many hospitals are there in this city? How many beds are there in each hospital? What is the acceptance? What is the service object and nature of the hospital, etc. On this basis, we did one thing, the data of the housing management and the overall distribution of the population, as well as the family planning data, the basic structure of the personnel. For example, there are still many children, and we must hope to have a children's hospital, which is close to the children's hospital. What do you do around each hospital? Calculate it, for example, within five kilometers, two kilometers, or five minutes and ten minutes. Now Baidu or Gaode, such a system combination, can quickly decide, driving for 5 minutes, within 10 minutes, the situation of the people living, probably such a price. So around this, you can help the city, planning future hospitals, medical clinics, etc. This is one of the smart medical treatments. Another important thing is what is important work besides medical care? medicine. Medicine in China can be said to be a very complicated process, because it is a strict regulatory industry, China Food and Drug Administration has a series of methods. We are in Guangzhou, we have a distribution agency for the entire Internet medicine. What we are doing now, I hope that the pharmaceutical factory to the logistics distribution center, as well as the pharmacy, to the last ordinary people, this system structure is all open, how to quickly and timely distribute the medicine. In the past year or so, many friends, some in the northeast, some in Mongolia, including a friend in Taizhou yesterday, his wife was hospitalized in Taizhou, looking for medicine, the medicine was sent out at 4 o'clock yesterday afternoon, medicine How to effectively combine with big data. Big data can solve many problems in reality, the first core idea of ​​data, the amount of data is large. Big data, my understanding, a broader, deeper digitalization, and social interoperability. Digitalization is a way of thinking. When making decisions, we consider using numbers to help us make decisions. It is very important for interoperability. Today, everyone here, through smart phones, has already demonstrated effective connectivity. Big data is a gradual development process, probably around 1987. Of course this is relatively early, 60 years of history. Big data, the concept of data warehousing, and the concept of parallel computing should be in 1987, the United States. In the 1990s, IBM proposed data mining. In the late 1990s, a new concept, business intelligence was proposed. In 2011, the McKinsey system proposed the concept of big data. I particularly like the three words, which are closely related to the current development strategy of our country. The first is innovation, the second keyword competition, and the third is productivity. This is the real core of big data. Now all walks of life, the world as a strategic resource, including the New York Times, Financial Times, Wall Street Journal, etc., put forward big data as a development resource. Enterprise applications are divided into several different stages of development, ERP, CRM, and today's big data. Rapid development of storage technology, computing power and analytical capability development process. Most of the data is now industry internal data, that is, structured data, and now the general Internet data is better. Very important, from machine data, Internet theme architecture, around the big data industry chain, basically what aspects, there may be data industry part, data sorting, leasing, sales, distribution technology, analysis technology, storage technology, and so on, Can sell information, sell knowledge, sell data, and so on. How is the data classified? People communicate with people, social networks, people and objects to the building, things to communicate with things. Source from the data generation. Acquisition methods are quasi-real-time, non-real-time, data from a technical perspective, structured, semi-structured, and traditional data structure.
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