pubmed-article:17568328 | rdf:type | pubmed:Citation | lld:pubmed |
pubmed-article:17568328 | lifeskim:mentions | umls-concept:C0042153 | lld:lifeskim |
pubmed-article:17568328 | lifeskim:mentions | umls-concept:C0025663 | lld:lifeskim |
pubmed-article:17568328 | lifeskim:mentions | umls-concept:C0597198 | lld:lifeskim |
pubmed-article:17568328 | lifeskim:mentions | umls-concept:C0021708 | lld:lifeskim |
pubmed-article:17568328 | lifeskim:mentions | umls-concept:C1527075 | lld:lifeskim |
pubmed-article:17568328 | lifeskim:mentions | umls-concept:C0035201 | lld:lifeskim |
pubmed-article:17568328 | lifeskim:mentions | umls-concept:C1516048 | lld:lifeskim |
pubmed-article:17568328 | lifeskim:mentions | umls-concept:C0205210 | lld:lifeskim |
pubmed-article:17568328 | pubmed:issue | 8 | lld:pubmed |
pubmed-article:17568328 | pubmed:dateCreated | 2007-8-16 | lld:pubmed |
pubmed-article:17568328 | pubmed:abstractText | In 1994, Rapoport et al. published a two-dimensional graphical tool for benchmarking intensive care units (ICUs) using a Mortality Probability Model (MPM0-II) to assess clinical performance and a Weighted Hospital Days scale (WHD-94) to assess resource utilization. MPM0-II and WHD-94 do not calibrate on contemporary data, giving users of the graph an inflated assessment of their ICU's performance. MPM0-II was recently updated (MPM0-III) but not the model for predicting resource utilization. The objective was to develop a new WHD model and revised Rapoport-Teres graph. | lld:pubmed |
pubmed-article:17568328 | pubmed:commentsCorrections | http://linkedlifedata.com/r... | lld:pubmed |
pubmed-article:17568328 | pubmed:language | eng | lld:pubmed |
pubmed-article:17568328 | pubmed:journal | http://linkedlifedata.com/r... | lld:pubmed |
pubmed-article:17568328 | pubmed:citationSubset | AIM | lld:pubmed |
pubmed-article:17568328 | pubmed:status | MEDLINE | lld:pubmed |
pubmed-article:17568328 | pubmed:month | Aug | lld:pubmed |
pubmed-article:17568328 | pubmed:issn | 0090-3493 | lld:pubmed |
pubmed-article:17568328 | pubmed:author | pubmed-author:KramerAndrewA | lld:pubmed |
pubmed-article:17568328 | pubmed:author | pubmed-author:TeresDanielD | lld:pubmed |
pubmed-article:17568328 | pubmed:author | pubmed-author:HigginsThomas... | lld:pubmed |
pubmed-article:17568328 | pubmed:author | pubmed-author:CopesWayne... | lld:pubmed |
pubmed-article:17568328 | pubmed:author | pubmed-author:NathansonBria... | lld:pubmed |
pubmed-article:17568328 | pubmed:author | pubmed-author:StarkMaureenM | lld:pubmed |
pubmed-article:17568328 | pubmed:issnType | Print | lld:pubmed |
pubmed-article:17568328 | pubmed:volume | 35 | lld:pubmed |
pubmed-article:17568328 | pubmed:owner | NLM | lld:pubmed |
pubmed-article:17568328 | pubmed:authorsComplete | Y | lld:pubmed |
pubmed-article:17568328 | pubmed:pagination | 1853-62 | lld:pubmed |
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pubmed-article:17568328 | pubmed:year | 2007 | lld:pubmed |
pubmed-article:17568328 | pubmed:articleTitle | A revised method to assess intensive care unit clinical performance and resource utilization. | lld:pubmed |
pubmed-article:17568328 | pubmed:affiliation | OptiStatim LLC, Longmeadow, MA, USA. | lld:pubmed |
pubmed-article:17568328 | pubmed:publicationType | Journal Article | lld:pubmed |
pubmed-article:17568328 | pubmed:publicationType | Research Support, Non-U.S. Gov't | lld:pubmed |
pubmed-article:17568328 | pubmed:publicationType | Multicenter Study | lld:pubmed |
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