Publications by authors named "Nilay Tanik Argon"

Study Objective: To develop a novel predictive model for emergency department (ED) hourly occupancy using readily available data at time of prediction with a time series analysis methodology.

Methods: We performed a retrospective analysis of all ED visits from a large academic center during calendar year 2012 to predict ED hourly occupancy. Due to the time-of-day and day-of-week effects, a seasonal autoregressive integrated moving average with external regressor (SARIMAX) model was selected.

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Background: Emergency department (ED) crowding is a recognized issue and it has been suggested that it can affect clinician decision-making.

Objectives: Our objective was to determine whether ED census was associated with changes in triage or disposition decisions made by ED nurses and physicians.

Methods: We performed a retrospective study using one year of data obtained from a US academic center ED (65,065 patient encounters after cleaning).

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According to American College of Emergency Physicians, emergency department (ED) crowding occurs when the identified need for emergency services exceeds available resources for patient care in the ED, hospital, or both. ED crowding is a widely reported problem and several crowding scores are proposed to quantify crowding using hospital and patient data as inputs for assisting healthcare professionals in anticipating imminent crowding problems. Using data from a large academic hospital in North Carolina, we evaluate three crowding scores, namely, EDWIN, NEDOCS, and READI by assessing strengths and weaknesses of each score, particularly their predictive power.

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