Miyagawa, Shoko
Faculty of Nursing and Medical Care Professor
Graduate School of Health Management Graduate School Board Member
Research Overview
Associate Professor, Faculty of Nursing and Medical Care, Graduate School of Health Management, Keio University. Specializes in health informatics, nursing informatics, and disaster informatics. Her research focuses on how information is generated, circulated, and utilized across healthcare settings, from routine care to disaster health and welfare response. In care engineering, she develops care products driven by clinical needs using tools such as 3D printers. Through interdisciplinary collaboration with engineering researchers, this work extends to the development of soft robotics simulators for excretory care training and the visualization of tacit nursing knowledge using sensing technologies and machine learning. In public health nursing, she studies GIS-based community assessment education and digital transformation in public health nurse training. Her disaster research, grounded in approximately 30 years of field experience since the 1995 Great Hanshin-Awaji Earthquake, examines information handoff challenges during evacuation phase transitions and the design of health/medical/welfare information coordination systems, drawing on fieldwork and qualitative methods. She teaches nursing informatics, IT literacy, research methods, and AI ethics, and pursues international collaborations in nursing AI and digital health. Selected Publications 1. Kanbara S, Miyagawa S, Miyazaki H (Eds.). Disaster Nursing, Primary Health Care and Communication in Uncertainty. Springer, 2022. ISBN: 978-3-030-98296-6. 2. Miyagawa S, Seong YA, Mao Z, Nabae H, Maeda S, et al. Soft Robotic Excretory Care Simulator for Nursing Education: Functional and Perceptual Biomimetics Approach. Advanced Robotics Research, 2025. doi: 10.1002/adrr.202400026. 3. Miyagawa S, Hattori R, Hattori K. A Simulation Model of Escapable and Non-Escapable Areas from Which Pregnant Women Can Reach Tsunami Evacuation Buildings: The Case in 110 Elementary School Districts in Nagoya City, Aichi, Japan. Disaster Medicine and Public Health Pr
Specialty
Health Informatics / Disaster Informatics