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

被引:56
作者
Holleman, DR
Bowling, RL
Gathy, C
机构
[1] Medical Service, Lexington Vet. Aff. Medical Center
[2] Ambulatory Care, Lexington Vet. Aff. Medical Center
[3] Department of Medicine, University of Kentucky, Lexington, KY
[4] Extended Care, Biloxi Vet. Affairs Medical Center, Biloxi, MS
[5] Medical Service (111K-CDD), Lexington VAMC, Lexington, KY 40511
关键词
forecasting; weather; utilization; regression analysis; walk-in clinics;
D O I
10.1007/BF02642481
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
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.
引用
收藏
页码:237 / 239
页数:3
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