Segmenting outpatient appointment behavior: a data-driven approach to understanding no-shows, delays, and walk-ins in specialty care

Appointment reminders and age are strong, actionable predictors of attendance. Behavioral segmentation revealed latent patient profiles with distinct needs. Personalized scheduling strategies-especially targeted reminders and flexible systems-may improve outpatient efficiency and reduce inequities. These findings support the integration of behavioral clustering into appointment optimization frameworks.Keywords: outpatient appointments; no-show behavior; appointment reminders.

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Publication Details

Journal
International Journal for Quality in Health Care
Published
2025-12-23
DOI
https://doi.org/10.1093/intqhc/mzaf133
Primary Topic
Healthcare Operations and Scheduling Optimization
Type
article
Field-Weighted Citation Impact
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article

Segmenting outpatient appointment behavior: a data-driven approach to understanding no-shows, delays, and walk-ins in specialty care

Mehmet Akif Özgül, Ayşe Ebru Bahadir, Damla Azaklı, Sibel Yurt et al.
International Journal for Quality in Health Care
Healthcare Operations and Scheduling Optimization
article

Segmenting outpatient appointment behavior: a data-driven approach to understanding no-shows, delays, and walk-ins in specialty care

Mehmet Akif Özgül, Ayşe Ebru Bahadir, Damla Azaklı, Sibel Yurt, Ecem Bilensoy
article en

Abstract

Appointment reminders and age are strong, actionable predictors of attendance. Behavioral segmentation revealed latent patient profiles with distinct needs. Personalized scheduling strategies-especially targeted reminders and flexible systems-may improve outpatient efficiency and reduce inequities. These findings support the integration of behavioral clustering into appointment optimization frameworks.Keywords: outpatient appointments; no-show behavior; appointment reminders.

International Journal for Quality in Health CareVol. 38(1)
Eskişehir City Hospital (TR)
Decent work and economic growth
Openalex Percentile: Top 24%
Healthcare Operations and Scheduling Optimization
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