Journal of General Internal Medicine

, Volume 11, Issue 4, pp 237–239

Predicting daily visits to a waik-in clinic and emergency department using calendar and weather data

  • Donald R. Holleman
  • Renee L. Bowling
  • Charlane Gathy
Brief Report

DOI: 10.1007/BF02642481

Cite this article as:
Holleman, D.R., Bowling, R.L. & Gathy, C. J Gen Intern Med (1996) 11: 237. doi:10.1007/BF02642481

Abstract

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.

Key words

forecastingweatherutilizationregression analysiswalk-in clinics

Copyright information

© Blackwell Science, Inc. 1996

Authors and Affiliations

  • Donald R. Holleman
    • 3
    • 2
  • Renee L. Bowling
    • 3
    • 2
  • Charlane Gathy
    • 1
  1. 1.Ambulatory CareLexington Veterans Affairs Medical CenterUSA
  2. 2.Department of MedicineUniversity of KentuckyLexington
  3. 3.Medical Service (111K-CDD), Lexington VAMCLexington
  4. 4.Extended CareBiloxi Veterans Affairs Medical CenterBiloxi