Dr Ori Gudes

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Adjunct Senior Lecturer at University of New South Wales

BA (Geography), Ben Gurion University of the Negev, Israel

MA (Urban Planning & GIS), Ben Gurion University of the Negev, Israel

PhD (Urban Planning), Queensland University of Technology, Australia

Biography:

Ori is a researcher with expertise in geographic information systems (GIS), urban planning, and spatial science. His areas of research focus on GIS and health, spatial analysis, decision support systems, city analytics, and usability evaluation. He has been teaching GIS, web mapping, and spatial analysis courses and workshops since 2008 at both QUT, Griffith University, Curtin University, and UNSW. He has also been leading research projects with industry and government, especially with the CRC-SI, CRC for Low Carbon, and the government sector.

PhD Thesis Title:

Developing a Framework for Planning Healthy Communities: The Logan Beaudesert Health Decision Support System

PhD Research Summary:

The field of collaborative health planning faces significant challenges created by the narrow focus of the available information, the absence of a framework to organise that information, and the lack of systems to make information accessible and guide decision-making. These challenges have been magnified by the rise of the ‘healthy communities’ movement’, resulting in more frequent calls for localised, collaborative, and evidence-driven health-related decision-making. This PhD study examined the role of decision support systems as a mechanism to facilitate collaborative health decision-making. The study presents a potential information management framework to underpin a health decision support system and describes the participatory process that is currently has been used to create an online tool for health planners using geographic information systems. The PhD study also underlines the critical importance of the proposed framework not only in forcing planners to engage with the entire range of health determinants but also in providing sufficient flexibility to allow exploration of the local setting-based determinants of health.