Takashi FURUNO, M.Eng.

Specially Appointed Researcher, Department of Global Health Metrics and Evaluation, Bureau of International Health Cooperation, National Center for Global Health and Medicine, Tokyo, Japan

AREA OF EXPERTISE

Information Technology
Medical Information
Engineering
AI

MESSAGE

• I will be working on data science and research activities using medical information.
• I will learn how to define requirements, design, operate, teaming, and behavior according to the characteristics of data.
• I will contribute to the education of my team and the next generation by accumulating know-how and achievements in data-driven initiatives.

NARRATIVE CV

Takashi Furuno is a Specially Appointed Researcher of Institute for Global Health Policy Research (iGHP) of National Center for Global Health and Medicine (NCGM). He is also a Technical Fellow at the National Institute of Mental Health, National Center of Neurology and Psychiatry, Department of Public Mental Health Care. He graduated from Kitakyushu National College of Technology, majoring in control engineering. He received his master's degree in engineering from Kyushu Institute of Technology, Graduate School of Bioengineering, Department of Brain Information. He worked as a web-based system engineer for about 9 years at an IT venture and an electronic medical record manufacturer. Since then, he has been working as a researcher with his experience as an engineer capable of handling medical information. He is mainly in charge of the IT technology required for the collection and aggregation analysis of the data handled in policy-based research.

Department of Psychiatric Policy Research (currently Department of Public Mental Health Care), National Institute of Mental Health, National Center of Neurology and Psychiatry Outpatient researcher (2017-2019), Current Researcher (Research Fellow) (2019-2021), Technical Fellow (2021-).

CAREER

IT venture system engineer

• Development of websites, EC sites, web applications, and smart phone applications
• IT training instructor for new employees of other companies

System engineer for an electronic medical record manufacturer

• Research team for electronic medical records (investigating problems, responding to inquiries, testing)
• Electronic medical record development team (new function development, defect repair, maintenance)
• Project manager for the development of web services and smartphone applications for home nursing
• Medical information data creation, electronic medical record data input/output work Technical support
• Project manager for the development of the PECO system for the visualization of inpatient psychiatric care
• Mentor and judge for application development seminars for students

National Institute of Mental Health, National Center of Neurology and Psychiatry Outpatient researcher, Department of Psychiatric Policy Research, National Center of Neurology and Psychiatry

• Research for the establishment of an effective monitoring system for medical and disability welfare plans. Research for building effective monitoring systems for medical care plans and disability welfare plans Survey (630 surveys): Data aggregation, questionnaire system design, survey website development and maintenance
• Research on visualization of inpatient psychiatric care PECO system technical support

National Institute of Mental Health, National Center of Neurology and Psychiatry Mental Health Research Institute, National Center of Neurology and Psychiatry (now Public Mental Health Research Institute) Research Fellow, Technical Fellow

• Research for the establishment of an effective monitoring system for medical and disability welfare plans. Surveys (630 survey, survey on the actual conditions of seclusion and physical restraint in psychiatric beds): Data aggregation, questionnaire system design, survey website development and maintenance
• Research on visualization of inpatient psychiatric care PECO system technical support
• Technical support for the PECO system
• 6NC Collaborative NDB Policy Research Group Master data arrangement and selection program creation
• Research on the development of models using natural language processing to predict long-term hospitalization patients from medical records
• Research on the development of a model using natural language processing to predict long-term hospitalization patients from medical records - Policy study, data processing, program development for learning model