Predicting daily visits to a waik-in clinic and emergency department using calendar and weather data
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We studied the association between calendar and weather variables and daily unscheduled patient volume in a walk-in clinic and emergency department. Calendar variables (season, week of month, day of week, holidays, and federal check delivery days) and weather variables (high temperature and snowfall) forecasted clinic volume, explaining 84% of daily variance and 44% of weekday variance. Staffing according to predicted volume could have decreased overstaffing from 59%to 15% of days, but would have increased under-staffing from 2% to 18% of days. Models using calendar and weather data that forecast local utilization may help to schedule staffing for walk-in clinics and emergency departments more efficiently.
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- Predicting daily visits to a waik-in clinic and emergency department using calendar and weather data
Journal of General Internal Medicine
Volume 11, Issue 4 , pp 237-239
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- regression analysis
- walk-in clinics
- Industry Sectors
- Author Affiliations
- 1. Medical Service (111K-CDD), Lexington VAMC, 2250 Leestown Road, 40511, Lexington, KY
- 2. Department of Medicine, University of Kentucky, Lexington
- 4. Ambulatory Care, Lexington Veterans Affairs Medical Center, USA