Primary-Care Clinic Overbooking and Its Impact on Patient No-shows

نویسندگان

  • Bo Zeng
  • Hui Zhao
  • Mark Lawley
چکیده

Following the successful stories in the airline industry, many primary-care clinics have adopted overbooking to deal with their prevalent patient no-show problem. However, there has been very limited research, to the best of our knowledge, that analyzes the impact of overbooking on the major causes/factors of patient no-show and its implications. While overbooking has little impact on many random factors that affect no-show, it does impact two important factors appointment delay (the time between a patient requesting an appointment and his actually seeing the doctor) and office delay (the amount of time patients wait in the office to see the doctor). In this paper, we develop a general framework to explore the impact of overbooking on these two important factors. While overbooking increases office delay (which negatively affects patient no-show rates), it appears to reduce appointment delay (which positively affects patient no-show rates). Our results show, considering both impacts, while overbooking increases clinic’s expected profit most of the time, patient no-show rates always increase after overbooking! Further, there exists a critical range of the patient panel size within which overbooking may also reduce the clinic’s expected profit. However, we propose two easy-to-implement strategies, overbooking with controlled appointment queue and selective dynamic overbooking. Both strategies can increase the clinic’s expected profit and improve no-show rates at the same time.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Clinic Overbooking to Improve Patient Access and Increase Provider Productivity

The problem of patient no-shows (patients who do not arrive for scheduled appointments) is significant in many health care settings, where no-show rates can vary widely. No-shows reduce provider productivity and clinic efficiency, increase health care costs, and limit the ability of a clinic to serve its client population by reducing its effective capacity. In this article, we examine the probl...

متن کامل

Patient no-show predictive model development using multiple data sources for an effective overbooking approach.

BACKGROUND Patient no-shows in outpatient delivery systems remain problematic. The negative impacts include underutilized medical resources, increased healthcare costs, decreased access to care, and reduced clinic efficiency and provider productivity. OBJECTIVE To develop an evidence-based predictive model for patient no-shows, and thus improve overbooking approaches in outpatient settings to...

متن کامل

Clinic Scheduling Models with Overbooking for Patients

10 Clinical overbooking is intended to reduce the negative impact of patient no-shows on clinic op11 erations and performance. In this paper, we study the clinical scheduling problem with overbooking 12 for heterogeneous patients, i.e. patients who have different no-show probabilities. We consider the 13 objective of maximizing expected profit, which includes revenue from patients and costs ass...

متن کامل

An Appointment Order Outpatient Scheduling System That Improves Outpatient Experience

Patient wait time and access to care have long been a recognized problem in modern outpatient healthcare delivery systems. Despite all the efforts to develop appointment rules and policies, the problem of long patient waits persists. Regardless of the reasons, the fact remains that there are few implemented models for effective scheduling that consider patient wait times, physician idle time, o...

متن کامل

A Stochastic Overbooking Model for Outpatient Clinical Scheduling with No-Shows

No. 0070482 A Stochastic Overbooking Model for Outpatient Clinical Scheduling with No-Shows Kumar Muthuraman, Mark Lawley School of Industrial Engineering, School of Biomedical Engineering, Purdue University, West Lafayette, IN 47906 [email protected], (765) 494-5416, [email protected], (765) 494-5415 POMS 18th Annual Conference Dallas, Texas, U.S.A., May 4 to May 7, 2007 We formulate a stocha...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2011