Effective Appointment Scheduling System

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Appointment scheduling systems are used in Health care industries across the world to schedule appointments and provide services to patients. There are many factors that affects the effectiveness of appointment scheduling system and the bottleneck lies in effective utilization of operation research techniques. The most common type of appointment scheduling systems and their challenges and also the possible solutions by implementing operation research techniques are summarized in this paper.

In the current fast paced world there is a huge demand for healthcare services and also there is huge pressure on healthcare service providers to improve the efficiency and to match up the demand. Effective appointment scheduling system is …show more content…

Primary care are generally physician owned, physician’s usually divides their available time for walk-in and scheduled appointments. They generally provide appointments on first come first serve basis it can be either walk-in or through telephone booking. Usually they reserve some slots for urgent cases. Demand spillover is major drawback of this system. Specialty care are generally focuses on specific treatments or complex treatments. They follow open source appointments but in most of cases they require primary physical referral. Elective surgery appointments are scheduled well in advance and urgent cases are given first priority. They usually maintain more operation rooms to accommodate urgent cases. And surgeries are performed on both outpatients and …show more content…

The commonly used IE approaches to address the issue are heuristics, simulation, queueing theory and optimization. Most approaches either considers direct waiting cost or indirect waiting cost but not both.
Solution 1- In this method single batch process is followed in which a certain session block is assigned to the physician and the available session time is divided into intervals, and most of the patients are served before session ends. The major drawback in this system is interval length is not constant. Number of patients is the decision variable. Appointments are made on FIFO basis. It can be further categorized into single-block schedule and sequential block schedule.

Solution-2 It uses queuing theory and was generally considered as Unit process. In this approach appointments are scheduled at fixed regular intervals, and length of interval is decision variable and service times are a random variable. Cost based optimizations are used to reduce waiting costs and most of the waiting times in this method are direct waiting

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