Good morning? News is jelly.
The example of the domestic Big Data Utilization Review was the Health Insurance Evaluation and Evaluation
Center, which opened the Medical Information Support Center .
The “Medical Information Support Center”, which was prepared by the Health Insurance Review and Assessment Agency (Chairman Seonmyeongseo), was opened in April.
The Medical Information Support Center is a collection of 20 billion (49.5TB) ‘Big Data’ a year, including patient care, drug information, and hospital information.
The meaning of this center is that various services can be developed and studied using healthcare information.
For example, by linking the data of the HIRA with the data of the National Statistical Office, management support services for hospitals can be found.
You will be able to check the number of residents and the density of hospitals for specialty courses and areas that doctors want to open,
A similar case is the infographic, which analyzes the sustainability of the business using the Big Data of the Security Administration.
(Source: Korea Economic Daily)
I have presented the top three categories of sales persistence in each region infographically.
I thought it was infographic that would be of great help to the prospective founders preparing for start-up.
I think that if it is made infographically by utilizing the data of the HIRA, it will be a great help to open the clinic considering various things to doctors who want to open the hospital.
This infographic is news jelly, too, do not you?
Returning to the story of the medical information support center, the Medical Information Support Center can analyze the demand for chronic ill patients in the selected area or know the increase / decrease of the number of patients due to the weather change.
Based on the medical demand information in your area, we are also preparing a model that predicts the initial sales of one year and sales after one year.
“Customized hospital search services” can also be done for patients.
It provides information on medical expenses for selected diseases through natural language analysis and analysis of body parts using Big Data, and provides customized hospitals by providing information on the average medical expenses and the average medical treatment period for all medical institutions and hospitals.
“We hope to be able to strengthen the development of domestic healthcare ecosystem and the status of IT by providing not only data disclosure but also consulting about big data utilization plan”.
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