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AHRQ Research Studies
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Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
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1 to 2 of 2 Research Studies DisplayedRhee C, Kalil AC
Toward a more nuanced approach to the early administration of intravenous fluids in patients with sepsis.
In this paper the authors discuss an article by Lane et al., published in 2018 in JAMA Network Open, related to the early administration of intravenous fluids in patients with sepsis.
AHRQ-funded; HS025008.
Citation: Rhee C, Kalil AC .
Toward a more nuanced approach to the early administration of intravenous fluids in patients with sepsis.
JAMA Netw Open 2018 Dec 7;1(8):e185844. doi: 10.1001/jamanetworkopen.2018.5844..
Keywords: Emergency Medical Services (EMS), Mortality, Sepsis
Taylor RA, Pare JR, Venkatesh AK
Prediction of in-hospital mortality in emergency department patients with sepsis: A local big data-driven, machine learning approach.
In this proof-of-concept study, a local, big data-driven, machine learning approach is compared to existing clinical decision rules (CDRs) and traditional analytic methods using the prediction of sepsis in-hospital mortality as the use case. It concluded that this approach outperformed existing CDRs as well as traditional analytic techniques for predicting in-hospital mortality of ED patients with sepsis.
AHRQ-funded; HS021271.
Citation: Taylor RA, Pare JR, Venkatesh AK .
Prediction of in-hospital mortality in emergency department patients with sepsis: A local big data-driven, machine learning approach.
Acad Emerg Med 2016 Mar;23(3):269-78. doi: 10.1111/acem.12876.
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Keywords: Emergency Medical Services (EMS), Mortality, Clinical Decision Support (CDS), Sepsis, Health Information Technology (HIT)