@article{ref1,
title="Predicting daily visits to a walk-in clinic and emergency department using calendar and weather data",
journal="Journal of general internal medicine",
year="1996",
author="Holleman, D. R. Jr and Bowling, R. L. and Gathy, C.",
volume="11",
number="4",
pages="237-239",
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 understaffing 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.<p /><p>Language: en</p>",
language="en",
issn="0884-8734",
doi="",
url="http://dx.doi.org/"
}