Characterizing workflow for pediatric asthma patients in emergency departments using electronic health records

Journal of Biomedical Informatics
Mustafa OzkaynakEric Tham

Abstract

The purpose of this study was to describe a workflow analysis approach and apply it in emergency departments (EDs) using data extracted from the electronic health record (EHR) system. We used data that were obtained during 2013 from the ED of a children's hospital and its four satellite EDs. Workflow-related data were extracted for all patient visits with either a primary or secondary diagnosis on discharge of asthma (ICD-9 code=493). For each patient visit, eight different a priori time-stamped events were identified. Data were also collected on mode of arrival, patient demographics, triage score (i.e. acuity level), and primary/secondary diagnosis. Comparison groups were by acuity levels 2 and 3 with 2 being more acute than 3, arrival mode (ambulance versus walk-in), and site. Data were analyzed using a visualization method and Markov Chains. To demonstrate the viability and benefit of the approach, patient care workflows were visually and quantitatively compared. The analysis of the EHR data allowed for exploration of workflow patterns and variation across groups. Results suggest that workflow was different for different arrival modes, settings and acuity levels. EHRs can be used to explore workflow with statistical and visu...Continue Reading

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Citations

Dec 4, 2020·Journal of Medical Internet Research·Jawad Ahmed ChishtieSusan Jaglal
May 23, 2017·Journal of Biomedical Informatics·Jane ChungGeorge Demiris
May 22, 2019·Applied Ergonomics·Scott R WalterJohanna I Westbrook

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