How medical care adapts to the age of large data

Source: Internet
Author: User
Keywords We we the big data age we the big data age is we the big data age is the concept we the big data age is the concept now

From the computer, the Internet, cloud computing ... To the Internet of things, the tide of big data has come quietly, and has penetrated into the http://www.aliyun.com/zixun/aggregation/18607.html "> medical services in every aspect, who can not keep up with the situation, who may be overwhelmed by the tide."

What I want to say today is the topic of the availability of primary medical care in the era of Internet of things. To put it simply, accessibility is a question of feasibility and can be based on feasibility. Now is the information age, but also a large data era, from simple data collection to data mining and applications have undergone great changes. How can medical service adapt to this big data age, make full use of all kinds of useful data, establish efficient and fast service platform? Personally, there are a number of key factors, but the main one is the following four factors or four latitude:

The first is the idea. Concept is very important, some time ago, we also put forward a "wisdom of Guangdong" concept, but in how to use large data, there is still a lack of overall strategic vision, the operation is also a bit deficient. What is the concept? is how we adapt to the trend of the era of large data. We do not use the traditional concept of no way or say, let the experts talk about, let everyone to a "concussion", to a collision of ideas. Only in this way, we will know what we are doing "big data", what should the government do? Again, how to adapt to the hospital? Now I think that the idea of obstruction, in the doctor is still quite common. As long as everyone on my microblog can see, I recently proposed third-party testing can be vigorously promoted. But there are a lot of medical staff think not, in fact, when you say no, you have to ask yourself, you into the big data age? I said, in the big data age, there is nothing to do, only unexpected. This is a change of mindset. From cognition, application to transformation, is a stage of understanding.

The second issue is policy. Health reform is one of the biggest problems in the medical industry, how to adapt to the big data age? That is to say, our goal is to put forward the question of how to achieve our good ideals. For the moment, I think our policy is disjointed and formalism is very serious. The reason for disconnection also has the benefit of the game and redistribution. There are also policy bottlenecks that have not been liberalized, such as third-party testing, which is internationally accepted, especially in the market economy that our country pursues, so why can't our policies be completely liberalized like the United States? Like doctors practising more, we have been encouraging openness, but in practice there has been very limited progress. Openness is secondary, and supervision is the key. In practice, however, the policy bottlenecks of third-party testing or doctor-side practice remain. In fact, the formulation of the policy is how to go from the access, supervision and withdrawal of these three aspects to consider, so that can form a real market.

The third is technology. The current problem is not the application of technology, but the platform to build and integrate. Technology can say no problem, now we do not have a lot of handheld this palm that? These are a terminal service. If you think of it, you can do it. When I was studying in Israel in the 1995, Israel had already had a tele-consultation with the ECG, why haven't we applied it yet? It's not a technical problem, it's a platform problem or a resource integration problem. Now, almost all government departments have their own database, but not open, resulting in a huge waste of resources. How to provide a service platform there are many forms, are not technical problems, many times is a matter of interest, so the government should consider how to apply the technology under the guidance of the policy. Of course, the access to technology has yet to be considered. For example, third party testing, some people who are not open to the idea that third-party inspection is a mess, and I think, in fact, only they can be more professional, more large-scale, more standardized.

The fourth is service. Whether private or state-owned, I believe that third party service platforms must be built, at least to save resources, improve standards and facilitate the patient. Therefore, in this market, we do not discriminate against the private sector, in fact, we have a very successful third party platform in Guangdong, they are successful because of the support of all parties. Now provide a variety of medical services related to a lot of companies, especially some network services platform and software, rely on is the technology, rely on is the service. Only from the point of view of people-oriented, the establishment of a more friendly interface to provide human services, so that can attract more people, products can be rooted in the people, the company can continue to grow and develop.

From the computer, the Internet, cloud computing ... Until the Internet of things, the tide of big data has come quietly, and has penetrated all aspects of medical services, who can not keep up with the situation, who may be overwhelmed by the tide. Therefore, whether the government departments or medical institutions, as well as corporate enterprises, medical staff, should be fully prepared to meet the arrival of the big data age.

Lio Noo (Deputy Director of health Department of Guangdong Province, network name: Doctor Gopoz)

(Responsible editor: The good of the Legacy)

Related Article

Contact Us

The content source of this page is from Internet, which doesn't represent Alibaba Cloud's opinion; products and services mentioned on that page don't have any relationship with Alibaba Cloud. If the content of the page makes you feel confusing, please write us an email, we will handle the problem within 5 days after receiving your email.

If you find any instances of plagiarism from the community, please send an email to: info-contact@alibabacloud.com and provide relevant evidence. A staff member will contact you within 5 working days.

A Free Trial That Lets You Build Big!

Start building with 50+ products and up to 12 months usage for Elastic Compute Service

  • Sales Support

    1 on 1 presale consultation

  • After-Sales Support

    24/7 Technical Support 6 Free Tickets per Quarter Faster Response

  • Alibaba Cloud offers highly flexible support services tailored to meet your exact needs.