EP03.05 - Dynamic Decision-Support Tool for Strengthening Chronic Disease Prevention and Management
e-Health ePoster Library. Samet S. Jun 7, 2016; 131553; EP03.05
Dr. Saeed Samet
Dr. Saeed Samet
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Purpose/Objectives: Access to up-to-date and relevant information on health status and the usage of health care services is vital for population health decision-making. Provincial healthcare databases are excellent sources of this information. However, these datasets can take years for researchers and decision makers to compile and analyze given legal and ethical guidelines governing the secondary use of health information. The requirement of policy makers to provide timely healthcare decisions is misaligned with the lengthy processes associated with acquiring health data. Spatiotemporal Information Systems (STIS) provide the ability to store, analyze and represent this type of information in geographic space and time. We propose to collect chronic disease information from provincial health data sources, perform the linkages, analysis and interpretation of these datasets, classify the information within time and geographic parameters, and make the results available via a technologically innovative electronic tool. The DEPICT (Digital Epidemiology Chronic Disease Tool) will place up-to-date and relevant information at the fingertips of chronic disease policymakers, researchers, healthcare practitioners and educators. Methodology/Approach: Data from Newfoundlanders and Labradoreans aged 20 years and older who have had contact with the health system in this province and who can be determined to have chronic disease will be used. The epidemiological approach for digital data is used to optimize information extraction. This includes calculation of disease rates concentrating on spatial, temporal, and demographic factors and their relationship to chronic diseases. Using SAS and SQL programming all data will be integrated with Geographic Information System (GIS) software and prepared for the online system. The dynamic system involves four engines (1) capturing data (2) processing (3) sharing information (promptly and securely) and (4) finally delivering on-demand reliable and actionable information to users. Finding/Results: A user-friendly online information system, displays chronic disease information (prevalence, incidence, outpatient and inpatient service utilization in NL) as dynamic/static tables, graphs or maps instantly. It allows users, and particularly decision makers to query existing databases in the province at different geographical levels and adjust for different variables. A demo will be presented at the conference. Conclusion/Implications/Recommendations: The generation of the DEPICT electronic information system will transform existing, but disconnected, data in NL into information to support research and policy development. Information systems such as the one we are developing allow policy makers, practitioners, and researchers to make evidence-informed decisions at all levels of the healthcare system. Those who have the potential to affect chronic disease policy will now have the most relevant and up-to-date information at their fingertips. 140 Character Summary: An online system to place up-to-date and relevant information on chronic disease at the fingertips of policymakers, clinicians, researchers, and educators.
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