Literature DB >> 15361002

Visualizing the infrastructure of US healthcare using Internet GIS: a community health informatics approach for reducing health disparities.

Christopher L Fulcher1, Catherine E Kaukinen.   

Abstract

Policy makers and healthcare providers often lack the resources or information to make effective healthcare decisions that impact their communities. Information must therefore be delivered to in a way that maximizes healthcare decision making. This paper examines the infrastructure of U.S. Healthcare using an Internet-based geographic information system (GIS). Internet GIS assists communities in accessing health information via the Internet, thereby leveling the playing field between urban and less affluent rural communities in the United States. A Community Health Informatics approach of incorporating "place" in identifying and reducing health dis-parities and transforming patients to active consumers of health care may ameliorate the impact of devolution and provide a foundation for effective decision support. The Internet GIS includes data visualization tools that provide the public, health care providers, and policy makers with tools to examine socio-economic and demographic factors that impact the distribution of health services

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Year:  2004        PMID: 15361002

Source DB:  PubMed          Journal:  Stud Health Technol Inform        ISSN: 0926-9630


  4 in total

Review 1.  A Review and Framework for Categorizing Current Research and Development in Health Related Geographical Information Systems (GIS) Studies.

Authors:  A K Lyseen; C Nøhr; E M Sørensen; O Gudes; E M Geraghty; N T Shaw; C Bivona-Tellez
Journal:  Yearb Med Inform       Date:  2014-08-15

2.  A Web-based graphical user interface for evidence-based decision making for health care allocations in rural areas.

Authors:  Nadine Schuurman; Margo Leight; Myriam Berube
Journal:  Int J Health Geogr       Date:  2008-09-15       Impact factor: 3.918

3.  Using participatory design to develop (public) health decision support systems through GIS.

Authors:  S Michelle Dredger; Anita Kothari; Jason Morrison; Michael Sawada; Eric J Crighton; Ian D Graham
Journal:  Int J Health Geogr       Date:  2007-11-27       Impact factor: 3.918

4.  Evaluation of SOVAT: an OLAP-GIS decision support system for community health assessment data analysis.

Authors:  Matthew Scotch; Bambang Parmanto; Valerie Monaco
Journal:  BMC Med Inform Decis Mak       Date:  2008-06-09       Impact factor: 2.796

  4 in total

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