CliFin: A Web-Based Geographical Information System for Time Dependant Point of Care Localization in New Brunswick, Canada

Dan Tulpan, Michelina Mancuso, Guillaume Durand, Chaouki Regoui and Luc Belliveau
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Dan Tulpan: Information and Communication Technologies, National Research Council Canada, Moncton, NB, Canada, & Department of Biology, Université de Moncton, Moncton, NB, Canada
Michelina Mancuso: New Brunswick Health Council, Moncton, NB, Canada
Guillaume Durand: Information and Communication Technologies, National Research Council Canada, Moncton, NB, Canada, & Department of Computer Science, Université de Moncton, Moncton, NB, Canada
Chaouki Regoui: Information and Communication Technologies, National Research Council Canada, Moncton, NB, Canada
Luc Belliveau: Information and Communication Technologies, National Research Council Canada, Moncton, NB, Canada

International Journal of Healthcare Information Systems and Informatics (IJHISI), 2012, vol. 7, issue 4, 32-47

Abstract: Over the past decade, the development of web-based Geographic Information Systems (GIS) for health has grown quite rapidly due to an increased need of data integration and spatial visualization. One GIS growth area in health is the construction of map-based applications that provide information on health care resources. Such applications are typically used as standard tools by public health departments, public health policy and research organizations, hospitals and health insurance organizations to provide public access to health care resources. This paper presents the design and development process of Clinic Finder (CliFin) - an open-access web-based GIS application relying on the Google Maps technology and providing access to a database with point of care facilities across the Province of New Brunswick, Canada. The uniqueness of CliFin consists in the implementation of a time-frame dependent search and results trimming approach, which allows users to identify clinics and hospitals open at any given time. The users are also encouraged to contribute with schedule updates and new point of care information to further develop CliFin’s database and its accuracy. The combination of GIS visualization capabilities, database management, user involvement in database update and the time-frame dependence of search results, confers CliFin increased practicality, especially in situations of crisis such as natural disasters.

Date: 2012
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