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Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
Results
1 to 3 of 3 Research Studies DisplayedDurojaiye AB, McGeorge NM, Puett LL
Mapping the flow of pediatric trauma patients using process mining.
The purpose of this study was to describe a process mining approach for mapping the inhospital flow of pediatric trauma patients, to identify and characterize the major patient pathways and care transitions, and to identify opportunities for patient flow and triage improvement. Process mining was successfully applied to derive process maps from trauma registry data and to identify opportunities for trauma triage improvement and optimization of PICU use.
AHRQ-funded; HS023837.
Citation: Durojaiye AB, McGeorge NM, Puett LL .
Mapping the flow of pediatric trauma patients using process mining.
Appl Clin Inform 2018 Jul;9(3):654-66. doi: 10.1055/s-0038-1668089..
Keywords: Trauma, Children/Adolescents, Transitions of Care, Data
Eisler L, Huang G, Lee KM
Identification of perioperative pulmonary aspiration in children using quality assurance and hospital administrative billing data.
This study aims to identify the incidence of and risk factors for perioperative aspiration in children using quality assurance data supplemented by administrative billing records, and to examine the utility of billing data as a supplementary data source. The investigators found that International Classification of Diseases, Ninth Revision codes for aspiration used as a secondary data source were nonspecific for perioperative aspiration, but when combined with record review yielded a 30% increase in identified cases of aspiration over quality assurance data alone.
AHRQ-funded; HS022941.
Citation: Eisler L, Huang G, Lee KM .
Identification of perioperative pulmonary aspiration in children using quality assurance and hospital administrative billing data.
Paediatr Anaesth 2018 Mar;28(3):218-25. doi: 10.1111/pan.13319..
Keywords: Adverse Events, Children/Adolescents, Data, Pneumonia, Respiratory Conditions
Arthur KC, Lucenko BA, Sharkova IV
Using state administrative data to identify social complexity risk factors for children.
Researchers aimed to test the feasibility of using an integrated state agency administrative database to identify social complexity risk factors and examine their relationship to emergency department (ED) use. They concluded that State administrative data can be used to identify social complexity risk factors associated with higher rates of ED use among Medicaid-insured children.
AHRQ-funded; HS020506.
Citation: Arthur KC, Lucenko BA, Sharkova IV .
Using state administrative data to identify social complexity risk factors for children.
Ann Fam Med 2018 Jan;16(1):62-69. doi: 10.1370/afm.2134.
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Keywords: Children/Adolescents, Data, Emergency Department, Healthcare Utilization, Risk