International Journal of Advanced Innovative Technology in Engineering (IJAITE)

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ONLINE CLINIC APPOINTMENT SYSTEM

Ms. Kavita G. Bramhankar, Shikha Y. Somkuwar, Samiksha B. Kamble, Krutika R. Kuthe, Megha R. Gaikwad, Rani Surjuse

Abstract :

Health care is a fast growing industry in the world. Appointment scheduling is one of the key processes in this health industry. This paper focused on on-line appointment system for clinics. The objective of this thesis is to maximize patients’ preferences and the number of patients seen during normal business hours. This is a multi-objective problem to balance the tradeoff between overtime and patients’ preferences. To achieve the objective, a simulation model was built to compare four policies proposed. Emergent patient were always assigned to the same day they requested appointment. In the basic policy, non-emergent patients are assigned to their first preferred date until the reserved capacity for non-emergent patients is full. In Naïve policy, non-emergent patients are always assigned on their first preferred day. Non-emergent patients were assigned based on daily reserved capacity in Policy In forecasted the expected number of patients to be scheduled for each day and assigned patients to a highly preferred day with lower number of patients scheduled or forecast to be scheduled. Based on simulation results, it was found that most of non-dominated solutions were close both minimum objective values, so policies proposed were helpful for the clinics to balance overtime and patients’ preferences.

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