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The Big Data Situation in Japan (and other Asian countries)

Y-h. Taguchi
September 09, 2021

The Big Data Situation in Japan (and other Asian countries)

9th September 2021

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Y-h. Taguchi

September 09, 2021

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  1. The Big Data Situation in Japan (and other Asian countries)

    Y-h. Taguchi Department of Physics, Chuo University, Tokyo, Japan (Basically, my expertize is bioinformatics. Please do not expect too much in my talk!!!!!)
  2. China: Strong needs for AI-based medical care Reason: While urban

    area is as good as developed country, rural area is still the stage of developing country. Urban : rural = 7:3 (2020 year) Remote medical care can improve the situation in rural area.
  3. Advantage in China: Because of lack of democracy, it is

    very easy for the government to collect personal information ( no personal rights are guaranteed). InferRead CT Lung (by INFERVISION) It is introduced even in developed countries including Japan, because in democratic countries, it is difficult to collect personal information to develop this kind of AI-based tools.
  4. People in rural area is happy to provide personal health

    information to government, since they can have opportunity to get health checked in turn. In addition to this, salary of medical doctor is low while Chinese government pay huge amount money for AI based medical care. All of these drastically accelerate AI based medical care in China
  5. In addition to this, COVID-19 pandemic further accelerates AI based

    medical care. 健康码(Health code) in Shanghai Danger of SARS-CoV-2 infection. No public traffic use without green code. More rapid and advanced development of AI-based medical in China is expected.
  6. Korea: Generally speaking, Korea is one of the most “digitalized”

    countries in the world. "IMD World Digital Competitiveness Ranking"
  7. Additional advantage of Korea: Medical care system has already been

    unified into one. It is easier to collect personal health information. National Health Insurance Data Sharing Service(NHISS)was founded. Purpose: Based upon collected Personal Health Record, to warn future health risk. The goal is Customized Medicine.
  8. COVID-19 pandemic also accelerates AI based medical care in Korea

    as in China. At the outbreak of COVID-19 in Wuhan, China, Korean Company, Seegene, developed PCR based test kit in three weeks without getting virus sample, but only with information technology (This test kit was later approved by FDA). Corona 100m (SARS-CoV-2 infection trace tool) was released as early as Feb. 2020. Coronamap (big data based trace tool) can visualize moving path of infected people.
  9. Japan Medical DX is late behind in Japan. Reasons: Positive

    reasons: People are hard workers. Without AI or DX, system can work to some extent. Negative reasons: People are conservative. If the system works well in the present form, they dislike to update it with risk taking.
  10. Present stage: Making use of receipt data (How much you

    pay for which disease?) The reason for this delay: Strong refusal for the collection of personal medical data (Disease record can be used for not employment and so on). Not unified data collection. No unified health data collection format exist. Health records are stored in separated hospital with distinct record format. It makes difficult to make use of them as collected big data.
  11. The lack of “digitalized” medical system damaged effectiveness of Japanese

    COVID-19 counter plan. No effective SARS-CoV-2 infection tracking system was released. Government provided vaccine record storing tablet did not work properly in the initial stage. Rapid economical support was impossible (Everything is text (facsimile) based)
  12. Other Asian countries (Basically, I did not have much information

    about other countries than Japan, Korea and China) India: Rural area has similar problems in Chinese rural area (Not enough medical care). Thus remote medical system is encouraged. India also has similar advantages with China, because of its large population (collecting large scale medical data is possible). At the moment, medical DX in India is still development stage, although market size expected to be as large as $372,000,000,000 in 2022.
  13. Singapore: Discovery AI platform: (developed by Ngiam Kee, NUHS) Unified

    plat form to store and access patients data in hospital. It can integrate distributed information in individual hospitals into one. Assistive Technology and Robotics in Healthcare:
  14. Conclusions East Asian area is definitely “Hot spot” of big

    data based health care, because… 1. More group oriented people (lack of respect to personal rights) 2. Historically, people like to record everything and keep it for future use. 3. Relatively strong to math and language. These points will continuously accelerate the develop of big data based healthy care in east Asian area...