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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 4 of 4 Research Studies DisplayedBonafide CP, Roland D, Brady PW
Rapid response systems 20 years later: new approaches, old challenges.
In this article, the authors propose a set of recommendations for a research agenda aimed at pursuing the work of optimizing the identification of deteriorating children. They recommend that the second generation of pediatric rapid response systems continue to build on past achievements while further optimizing use of the data, tools, and people available at the bedside to take the next leap forward.
AHRQ-funded; HS023827.
Citation: Bonafide CP, Roland D, Brady PW .
Rapid response systems 20 years later: new approaches, old challenges.
JAMA Pediatr 2016 Aug;170(8):729-30. doi: 10.1001/jamapediatrics.2016.0398.
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Keywords: Children/Adolescents, Clinical Decision Support (CDS), Shared Decision Making, Emergency Medical Services (EMS), Hospitals
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)
Melnick ER, Keegan J, Taylor RA
Redefining overuse to include costs: a decision analysis for computed tomography in minor head injury.
This study was conducted to (1) determine the testing threshold for head computed tomography (CT) in minor head injury in the emergency department using decision analysis with and without costs included in the analysis. If only effectiveness is considered, current clinical decision rules might not provide a sufficient degree of certainty to ensure identification of all patients for whom the benefits of CT outweigh its risks.
AHRQ-funded; HS021271.
Citation: Melnick ER, Keegan J, Taylor RA .
Redefining overuse to include costs: a decision analysis for computed tomography in minor head injury.
Jt Comm J Qual Patient Saf 2015 Jul;41(7):313-22..
Keywords: Clinical Decision Support (CDS), Shared Decision Making, Imaging, Emergency Medical Services (EMS)
Lobach DF, Kawamoto K, Anstrom KJ
A randomized trial of population-based clinical decision support to manage health and resource use for Medicaid beneficiaries.
This study tested the impact of 3 clinical decision support modalities (emails to care managers, printed reports to clinic administrators, and letters to patients) on the use and cost of medical services for Medicaid patients. It found that some modalities can significantly reduce emergency department use and medical costs, while other interventions may have had detrimental consequences.
AHRQ-funded; HS015057
Citation: Lobach DF, Kawamoto K, Anstrom KJ .
A randomized trial of population-based clinical decision support to manage health and resource use for Medicaid beneficiaries.
J Med Syst. 2013 Feb;37(1):9922. doi: 10.1007/s10916-012-9922-3..
Keywords: Clinical Decision Support (CDS), Health Information Technology (HIT), Medicaid, Emergency Medical Services (EMS), Quality of Care