Dove H G, Schneider K C
Med Care. 1981 Jul;19(7):734-40. doi: 10.1097/00005650-198107000-00004.
Patients' characteristics and no-show patterns are analyzed in order to determine the number of patients to schedule in outpatient clinics. This predictive model is evaluated on a second sample of data and compared with another scheduling technique that is based on the average no-show rate for each clinic. Our survey suggests that it is possible to predict accurately the number of no-shows with a small set of variables, and that patient scheduling can be improved by paying attention to the characteristics of individual patients. The most important single predictor is the patient's previous appointment-keeping pattern.
分析患者的特征和爽约模式，以确定门诊预约的患者数量。该预测模型在第二个数据样本上进行评估，并与另一种基于每个诊所平均爽约率的预约技术进行比较。我们的调查表明，利用一小部分变量就有可能准确预测爽约患者的数量，并且通过关注个体患者的特征可以改进患者预约安排。最重要的单一预测因素是患者以前的预约遵守模式。
