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Full-Text Articles in Operations Research, Systems Engineering and Industrial Engineering

Tactical Allocation And Acceptance Of Multiple Patient Classes In The Presence Of No-Shows, Lauren Davis, Husniyah Abdus-Salaam Aug 2014

Tactical Allocation And Acceptance Of Multiple Patient Classes In The Presence Of No-Shows, Lauren Davis, Husniyah Abdus-Salaam

Dr. Lauren B Davis

Clinics that provide pediatric care are frequently confronted with family group appointment requests, where parents desire their children to be scheduled simultaneously or consecutively. This is potentially beneficial to the family by minimizing the number of trips to the provider’s office. However, offering prescheduled group appointments have the risk of reducing provider utilization, particularly if the entire group fails to meet their scheduled appointment. Similarly, reserving appointment slots for same day group appointment requests may also decrease utilization and impact profitability. This paper explores the impact of family group appointments on clinic performance in terms of provider utilization and ...


Impact Of Batch Appointments On No-Show Rates: A Public Versus Private Clinic Perspective, Husniyah Abdus-Salaam, Lauren Davis Dec 2011

Impact Of Batch Appointments On No-Show Rates: A Public Versus Private Clinic Perspective, Husniyah Abdus-Salaam, Lauren Davis

Dr. Lauren B Davis

Much of the appointment scheduling literature has characterized the impact of no-show rates with respect to individual appointment requests. However, little is known about the impact of appointments that are grouped by household. This study is concerned with understanding the prevalence of these family group appointments and identifying the appointment characteristics that significantly influence no-show rates. Using historical data from a public and private pediatric clinic, Multiway Frequency Analysis is used to characterize the association between appointment characteristics and appointment size. A logistic regression model is also developed to identify the factors that contribute to no-show rates for both clinics ...