Sherry Yueh-Hsia Chiu

In the era of increasing global health issues with tremendous disease burden of heath, particularly non-communicable diseases (NCDs), a systematic framework from ecological to individual level to provide an innovative evidence-based, comprehensive, continuous, and precise heath care planning, policy and implementation pursuant to the guideline of UN Sustainable Development Goals (SDGs) is wanted. Based on the informatics system for the long-term prospective Taiwanese community-integrated screening cohort, we are able to hold the Big Data center with the constellation of new multi-level prevention models in hierarchical level from individual, household, township, county, and then region of Taiwan to devise new policy, innovative intervention (including primary prevention on health education, secondary prevention on disease screening, and tertiary prevention on rehabilitation), and alternative strategies and models (innovative quality and coordination) of health care under National Health Insurance in Taiwan. This forms the basis for novel analytical tools including visualization, data mining, conventional statistical models, artificial neural network, and Bayesian network analysis to form a network of decision support system for various kinds of interventions to guide policy-making for disease prevention.

In this talk, I will introduce the health information system in the Taiwanese community cohort to ensure the quality assurance system, organized features appertaining to intervention program, economic evaluation (cost-effectiveness or cost-utility analysis), epidemiological applications, behavior risk factor surveillance system, and social impact due to the introduction of the intervention, and to support the hierarchical prevention program. The second example is the population-based proband-oriented family-based pedigree information system together with all of the proposed methods to study familial aggregation of hypertension in relation to genetic influence based on relative relationship scores and environmental factors.