Health Informatics

photo Takeo Nakayama Takeo Nakayama, M.D., Ph.D. Professor btn

Health Informatics

In today’s society, the impact of health-related information on human behavior and health can be just as profound as, or in some cases, more profound than, the impact of physical environment on human health. This field of study explores how information can contribute to improving people’s health behavior/health-care-seeking behavior, and decision-making in community health. The main topics to be covered are: Evidence-based healthcare (EBHC); decision analysis, health literacy & communication; epidemiologic research including genome approach, quantitative and qualitative assessment of health-related information; e-Health; and information ethics.

Research and Education


Health informatics has potential applications for the creation, communication and use of information, and the discipline is being expanded as nap practical applied science in search of solution.
Creation: epidemiological researches (including genome-approach), information ethics, and appraising scientific information.
Communication: systematic reviews, clinical guidelines, creating databases, developing tools for decision-making support, and health communication.
Use: health literacy, and shared-decision making.

  1. Epidemiology I: to learn methodologies and principles of epidemiology.
  2. Literature Search: to learn literature databases of health research.
  3. Critical Appraisal: to learn skills of critical appraisal based on epidemiology and EBM.
  4. Health Informatics I: to learn how to collect, store, communicate, retrieve, and evaluate health-related information and data.
  5. Health Informatics II: to learn the application of ICT to healthcare.
  6. EBM and clinical practice guidelines: to learn concepts and methodologies of them.
  7. Methods of Health Sciences Research: to learn knowledge of communication in health sciences research.

Alumni meeting 2016 (1)

Alumni meeting 2016 (2)

Recent Publications

  1. Ohtera S, et al. Proposal of quality indicators for cardiac rehabilitation after acute coronary syndrome in Japan: a modified Delphi method and practice test. BMJ Open. 2017 Jan 27;7(1):e013036.
  2. Dagvadorj A, et al. Hospitalization risk factors for children’s lower respiratory tract infection: A population-based, cross-sectional study in  Sci Rep. 2016 Apr 19;6:24615..
  3. Kanatani KT,; Japan Environment & Children’s Study Group. Effect of desert dust exposure on allergic symptoms: A natural experiment in Japan. Ann Allergy Asthma Immunol. 2016 May;116(5):425-430.
  4. Takahashi Y, Ishizaki T, Nakayama T, Kawachi I. Social network analysis of duplicative prescriptions: One-month analysis of medical facilities in Japan. Health Policy. 2016 Mar;120(3):334-41.
  5. Tominari S,; Unruptured Cerebral Aneurysm Study Japan Investigators. Prediction model for 3-year rupture risk of unruptured cerebral aneurysms in Japanese patients. Ann Neurol. 2015 Jun;77(6):1050-9.

Health Informatics

Professor: Takeo Nakayama, M.D., Ph.D.
Associate Professor: Yoshimitsu Takahashi, Dr.P.H.
TEL: +81-75-753-9477
FAX: +81-75-753-9478
e-mail: nakayama.takeo.4a [at]