Medical care is supported by the dedicated efforts of frontline staff.This is what I feel standing on the front lines of medicine in the emergency room/intensive care unit.

In Japan, there is a universal health insurance system of a high level even by global standards, but behind this system lies the work of documenting the "quality of medical care provided" through a massive amount of paperwork by medical staff. As their results, a composition that epitomizes modern medicine: exhausted medical staff, patients who are frustrated by long waiting times and staff who only look at their computers.

In spite of these tough paperworks, there is no clear data existing even the the most rudimentary details such as the most common symptoms and diagnoses of patients who visit their neighboring clinics, or even what are the most common symptoms and diagnoses of the patients visiting our hospital.

To overcome such a situation, what is needed first is technology close to the field. It has been a long time since the term "Medical Al" has been in the papers, but rather than forcibly looking for situations where AI technology can be useful, we first want to solve such a situation, where paper notes are transcribed into Excel. Forcing the application of the latest IT technology to the current medical field is like trying to do a Google search on a stack of paper documents.

What the field needs is not AI technology, but first of all, a recording system that can be used as easily as paper-based operations with less double entry, and reliable clinical data that can be appropriately cross-referenced with neighboring medical institutions.

Only with such a truly useful data infrastructure in the field, Al utilization in healthcare and data-based healthcare quality assessment and policy formulation will be realized.

We are committed to building a health care system that saves lives through the approach using medical data.