School of Medicine- Course Introduction
Department of Next Generation Emergency Disaster and Critical Care Medical Science
Endowment Departments
The current emergency transport system determines the destination medical facility based on the severity and urgency of the patient (single matching system). In emergencies where medical demand exceeds supply (acute illness, accidents, disasters, cyber terrorism, pandemics, etc.), transports are concentrated at certain medical facilities, easily leading to a shortage of hospital beds, resulting in patients who are difficult to transport by emergency transport, and resulting in "preventable deaths". The shortcomings of this system have become even more apparent during the COVID-19 pandemic. On the other hand, even in peacetime, 60% of ambulance transports are inappropriate transports that do not require transport, and since emergency teams cannot decide not to transport patients in response to 119 calls, the number of ambulance dispatches is on the rise. It has also been reported that the "preventable deaths" of emergency patients nationwide are caused by such system shortcomings.
Therefore, the ultimate goal and significance of this course is to build an "emergency disaster database" that collects EHRs (Electronic Health Records: electronic health data; hospital personal electronic medical records) linked to PHR (Personal Health Records: personal health data; daily life logs, vital sign information) applications, as implemented in the government's "Basic Policy for Economic and Fiscal Management and Reform 2023," and to develop and implement a next-generation emergency medical system (dynamic matching system) that uses the big data obtained from this to derive the optimal solution for the medical facility to which patients should be transported, thereby reducing "preventable deaths" and improving the survival rate even if only slightly.
We aim to include as many people as possible in preemptive applications with PHR/EHR built in, and to implement them in society as the core of emergency medical institution collaboration tools in emergencies (acute illnesses, accidents, disasters, cyber terrorism, pandemics, etc.). At the same time, by returning electronic health data to individuals through the application, it is expected that in addition to improving individual health literacy, PHR/EHR will be able to realize seamless medical accessibility anytime, anywhere without interrupting treatment. Furthermore, the data accumulated in the "emergency disaster database" will not only contribute to improving public health, such as systematic disease prevention measures and maintaining health promotion in close contact with local residents, but also make it possible to visualize various emergency situations in virtual reality simulations and build a next-generation emergency medical system in the real world to confront them, even in unpredictable times such as the current COVID-19 pandemic. We will create such a worldview and core values.
Course Information
- Specially Appointed Professor
- Junichi Hirata (concurrent post)
- Specially Appointed Associate Professor
- Mariko Terashima
- TEL
- 0798-45-6514
- FAX
- 0798-45-6813