Source:http://linkedlifedata.com/resource/pubmed/id/11115195
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Predicate | Object |
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rdf:type | |
lifeskim:mentions | |
pubmed:issue |
10
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pubmed:dateCreated |
2001-1-8
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pubmed:abstractText |
Determining a community's health care access needs and testing interventions to improve access are difficult. This challenge is compounded by the task of translating the relevant data into a format that is clear and persuasive to policymakers and funding agencies. Geographic information systems can analyze and transform complex data from various sources into maps that illustrate problems effortlessly for experts and nonexperts.
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pubmed:language |
eng
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pubmed:journal | |
pubmed:citationSubset |
IM
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pubmed:status |
MEDLINE
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pubmed:issn |
1063-3987
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pubmed:author | |
pubmed:issnType |
Print
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pubmed:volume |
9
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pubmed:owner |
NLM
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pubmed:authorsComplete |
Y
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pubmed:pagination |
971-8
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pubmed:dateRevised |
2006-11-15
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pubmed:meshHeading |
pubmed-meshheading:11115195-Catchment Area (Health),
pubmed-meshheading:11115195-Community Health Services,
pubmed-meshheading:11115195-Demography,
pubmed-meshheading:11115195-Geography,
pubmed-meshheading:11115195-Health Services Accessibility,
pubmed-meshheading:11115195-Humans,
pubmed-meshheading:11115195-Missouri,
pubmed-meshheading:11115195-Software
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pubmed:articleTitle |
Using geographic information systems to understand health care access.
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pubmed:affiliation |
Department of Family and Community Medicine, University of Missouri-Columbia, USA. bphillips@aafp.org
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pubmed:publicationType |
Journal Article,
Research Support, Non-U.S. Gov't
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