The government has set a goal of expanding the global medical device market from the current 3 trillion yen to 21 trillion yen by 2050.

The government has set a goal of expanding the domestic market for healthcare, nursing care, and lifestyle support industries outside the public insurance system to 77 trillion yen, approximately three times the size of the market in 2020. In order to achieve this goal, digital transformation (DX) centered on the use of AI in the healthcare, medical care, nursing care, and lifestyle support fields is indispensable, and this is a major area of opportunity for Japanese companies that have been working on AI and robot technologies for some time. However, there are not a few challenges that healthcare equipment and medical device manufacturers and health/medical/care facilities face when utilizing AI systems.

For example, what are the social demands surrounding AI? What are the latest trends in AI in the medical welfare and healthcare fields?
What are the challenges in the field of patient safety and how can we implement AI safety and quality management in the medical welfare and healthcare industry?
What are the common and domain-specific differences from other industries?
Are there any guidelines or checklist examples for the use of generated AI?

The challenges, approaches of the AI industry and the healthcare and medical welfare industry, case studies and future perspectives on these issues will be discussed.

In the field of patient safety, he has served as an observer in a working group for the prevention of falls and tumbles in medical facilities, in which doctors, nurses, and other medical staff of various professions participate. He is also active in the academic world in addition to the IT industry.
He has experience in product development in various fields, joint research with universities on patient safety AI and preventive medicine AI, research experience at academic conferences, and knowledge of AI quality management.
In other words, he has established safety quality management methods for issues in the field of patient safety and AI-utilized systems. It is necessary to ensure the characteristics of the medical welfare and healthcare industry and how it differs from other industries.