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Exploratory data analysis.
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posted on 2014-11-13, 03:05 authored by Shiying Hao, Bo Jin, Andrew Young Shin, Yifan Zhao, Chunqing Zhu, Zhen Li, Zhongkai Hu, Changlin Fu, Jun Ji, Yong Wang, Yingzhen Zhao, Dorothy Dai, Devore S. Culver, Shaun T. Alfreds, Todd Rogow, Frank Stearns, Karl G. Sylvester, Eric Widen, Xuefeng B. LingA. “Time to event” analysis. The ED revisit “time-to-event curve” showed a pattern of a rapid accrual with a stable and consistent ED visit rate thereafter. The population ED revisit curves, of patients with or without past history of ED visits, decreased significantly within 30 days from the ED discharge time, indicating that a 30-day cutoff is clinically reasonable. B. Our analysis found that both the total number and the percentage of patients with future 30-day ED visits increased as a functional of either the distinct chronic diagnoses (left panel) or the ED visit counts (right) in the prior 12 months.
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future integrationFindingsA decision treeED risk scoreED usehealthcare expenseED care work flowED visit30 daysHealth Information Exchangepatient ED 30 dayED utilization.Methodsdischarge dateretrospective cohortdiscriminant Electronic Medical Recordrisk predictionEmergency Department Revisit 30 Days Post DischargeMaine State HINEmergency DepartmentED resource burdenpatient populationemrdata systemED careProspective Study BackgroundAmong patientshiecare interventionCluster analysisClinical resource utilization
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