NURSE SCHEDULING FORECASTS USING EMPIRICAL REGRESSION MODELING

摘要

Nurse scheduling forecasts are enabled using empirical regression modeling. A regression model may be constructed for nurse scheduling. The nurse scheduling regression model may predict a number of nurses that need to be scheduled for various work shifts (e.g., night and day) for specified periods of time for various nurse specialties at one or more nursing facilities (e.g., an inpatient nursing unit). The model may be trained with historical data. Independent variables may include patient census at particular times of day and the number of nurses actually needed to provide patient care and/or comply with applicable policies and regulations, with the dependent variable being a prediction of the number of nurses to be scheduled in a specified period of time. Additional independent variables may include day of week, month of year, seasons and seasonal factors such as holidays and cultural events, staff vacations, and sick calls.