Distributed Healthcare Database Integration for Supporting Agile Decision Making

Abstract

We present an effective data model designed for designing an incrementally centralized national database for initially distributed immunization databases of CDC in Taiwan for supporting increasingly agile demand of decision making. Initially, the vaccination records for each individual are separately stored in the database of each county/city bureau of health. The main objective of this research aims to proposed an empirical data integration model and refresh Model for these distributed databases so that the widespread national vaccination data can be effectively aggregated into a centralized national immunization database. Leveraging this construction, the information for nationwide vaccination daily operation, data management, and decision making of the Center for Disease Control (CDC) of Taiwan can be more effectively supported. The system implementation and evaluation shows that the data model proposed by this research can truly reflect the requirement of each-level users.