Rethinking Health Planning: A Framework for Organising Information to Underpin Collaborative Health Planning

Abstract

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 paper discusses the role of decision support systems as a mechanism to facilitate collaborative health decision-making. The paper presents a potential information management framework to underpin a health decision support system and describes the participatory process that is currently being used to create an online tool for health planners using geographic information systems. The need for a comprehensive information management framework to guide the process of planning for healthy communities has been emphasised. The paper 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.

Sustainable development of smart cities: a systematic review of the literature

“…In general, however, it is understood that smart cities make use of information and communication technology (ICT) extensively to help cities to build their competitive advantages (Yigitcanlar and Baum 2008;Caragliu et al 2011), or that it is a conceptual model where urban development is achieved through the use of human, collective and technological capital (Angelidou 2014). The term smart city is, therefore, an umbrella concept that contains a number of subthemes such as smart urbanism, smart economy, sustainable and smart environment, smart technology, smart energy, smart mobility, smart health, and so on (Gudes et al 2010;Cocchia 2014;Lara et al 2016).…”

What does it feel like to live here? Exploring sensory ethnography as a collaborative methodology for investigating social determinants of health in place

“…Our choice of methods for the SELB was based on a combination of recommendations from the existing literature on visual and sensory ethnography (see in particular Pink, 2009); communication needs and strengths of participating residents and the multidisciplinary research team members; and appropriateness of the method for place based research. Because a significant focus of our team's ongoing research was how to inform local health and urban planners' decision-making processes via the GIS-based health decision support system (see Gudes et al, 2010aGudes et al, , 2010b, we sought to create lived experience ''stories'' using media types that would have high impact. We hence chose methods that would produce ''rich media'' narrative and observational data which can have an enduring impact on decision makers (see Daft and Lengel, 1986;Hampton, 2004).…”

“…Co-authors Sunderland and Gudes planned the SELB during 2009-2010 as part of a previous Australian Research Council (ARC) funded study that analysed the development of a placebased coalition for health promotion and chronic disease prevention in Queensland, Australia (see Kendall et al, 2007). The ARC project team developed a GIS database of quantitative data related to the SDOH and a related decision support interface for local use (see Gudes et al, 2010aGudes et al, , 2010b. We recognised that researchers and local health and urban planners could understand what existed and where it was happening but not necessarily why or what it meant to local residents.…”

A Comparison of a Smart City’s Trends in Urban Planning before and after 2016 through Keyword Network Analysis

“…In addition, Information and Communication Technologies (hereafter ICT) will extensively and effectively help cities achieve a comparative edge [4, 8,9], and be used as the tools and means to develop Intelligent Transport Systems (hereafter ITS) with mobility information and the Internet of Things (hereafter IoT) [10][11][12], as well as to achieve urban policy making based on governance and open data [13][14][15]. Accordingly, in improving the urban quality of future urban areas, the term smart city is considered as an umbrella concept that includes various sub-concepts such as sustainable smart environments, smart technology, smart energy, smart transportation, smart mobility, and smart government [16][17][18][19][20][21]. The concept of the smart city has emerged over the past decade through ideas of ways to improve the functioning, efficiency, and competitiveness of cities, and solve their environmental challenges.…”