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Outpatient Appointment Scheduling

Operations research problem of designing the slot duration, slot loading and intra-day assignment policy of an outpatient clinic โ€” to balance patient wait time, doctor idle time and same-day access.

Outpatient Appointment Scheduling ProblemOAPClinic Appointment SchedulingAmbulatory Appointment Scheduling
Outpatient Appointment Scheduling Problem (OAP) is the question an outpatient clinic operator faces of designing the slot grid and the assignment policy on a doctor's calendar: slot duration (equal-spacing, variable-block, dome shape), patients per slot (single booking or double booking / overbooking), priority of urgent versus routine patients, panel-doctor assignment. Objective: a weighted minimum of patient wait time, doctor idle time and same-day access. The foundational paper is Bailey (1952), with a queue-theoretic first model for a Copenhagen-style outpatient clinic โ€” the two-patients-in-the-first-slot rule (Bailey-Welch) originates here; the canonical survey is Cayirli and Veral (2003); the modern application-side map is Gupta and Denton (2008). Solution methods: deterministic MIP (fixed no-show + fixed service time), stochastic programming (log-normal service time + no-show probability), simulation-optimisation (the most common practical approach), online policy (dynamic intra-day booking).
ร–rnek

A private hospital dermatology outpatient with 10 doctors schedules 200 patients a day in equal 15-minute slots; mean patient wait is 42 minutes, doctor idle time is 85 minutes/day. The OAP model is redesigned with Bailey-Welch plus LaGanga-Lawrence overbooking โ€” wait time drops to 24 minutes, idle time to 35 minutes/day, and 14 extra patients/day of capacity open up.

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