Evaluation of Waiting Time Prediction using Data Collected from Prescriptions

Abstract

We performed waiting time prediction using the data collected from prescription pick-up. A regression equation was used to predict waiting time. An explanatory variable was adopted as “a number of retention prescriptions at the time of acceptance”, “the variety of drug to dispense”and “the presence or absence of a particular task of time-consuming work in computing multiple medications into one package”. Using waiting time as an objective variable, three regression equations were formulated. Method ①: A single regression equation using the number of retention prescriptions with only one explanatory variable. Method ②: Multiple regression equation using factors such as number of prescriptions and variety of drugs to be dispensed as explanatory variables. Method ③: Multiple regression equation using number of prescriptions, variety of drugs and the presence or absence of particular tasks involved in the preparation of the prescription. Compared to the prediction of Method ①, the prediction of Method ② resulted in better accuracy. Compared to Method ①, Method ② resulted in better accuracy, and Method ③ resulted in even better accuracy than Method ②, as predicted.