OUTPATIENT SCHEDULING IN HEALTH CARE: A REVIEW OF LITERATURE
By Tugba Cayirli, Emre A. Veral. 2003
1,053 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Emergency Medical Services, Emergency Medicine
View Paper: https://www.semanticscholar.org/paper/5351df157d87f12608aeefd6e37315d8575b5f5a
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- Abdur Rais
- Ana Viana
- T. T. Gomes
- Diwakar Gupta
- Vidyadhar G. Kulkarni
- Serhan Ziya
- Rainer Kolisch
- Nan Liu
In Emergency Medical Services
- Abdur Rais
- Ana Viana
- T. T. Gomes
- Vidyadhar G. Kulkarni
- Serhan Ziya
- Nan Liu
- Dinh-Nguyen Pham
- Rainer Kolisch
In Emergency Medicine
- T. T. Gomes
- Vidyadhar G. Kulkarni
- Serhan Ziya
- Abdur Rais
- Rainer Kolisch
- Nan Liu
- Ana Viana
- Hans-Jörg Schütz
Citations in the corpus
- Appointment scheduling in health care: Challenges and opportunities (2008, background): “A review of the literature on outpatient appointment systems can be found in Cayirli and Veral (2003), whereas Magerlein and Martin (1978) and Blake and Carter (1997) summarize articles on surgery scheduling.”
- Approximate dynamic programming for capacity allocation in the service industry (2010, positive): “Unlike Cayirli and Veral [7] we allow examinations that require not only one but lik contiguous slots.”
- Surgical case scheduling as a generalized job shop scheduling problem (2008, background): “Although outpatient booking in clinics receives wide research attention [7], ASC surgical case scheduling does not.”
- Dynamic Scheduling of Outpatient Appointments Under Patient No-Shows and Cancellations (2010, methodology): “We refer the reader to Cayirli and Veral (2003) for a comprehensive review of this literature pre-2003. More recent work in this line of research includes Denton and Gupta (2003), Robinson and Chen (2003), and Klassen and Rohleder (2004). These articles focus on the determination of appointment time”
- Reinforcement Learning for Primary care e Appointment Scheduling (2017, background): “Two major end-points are patient waiting times and waiting-room congestion, whose improvement through well-designed appointment systems is worthwhile [10].”
- Discrete event simulation for performance modelling in health care: a review of the literature (2010, background): “An extensive review of literature in this specific area is given by Cayirli and Veral (2003).”
- Clinic scheduling models with overbooking for patients with heterogeneous no-show probabilities (2010, background): “Cayirli and Veral [3] mention that no-show rates are 5-30%.”
- Operations Research in Healthcare: a survey (2011, methodology): “A review on outpatient scheduling is provided by Cayirli and Veral (2003). Genetic Algorithms were used by Chien et al. (2008) for scheduling patients and increasing the service quality through the reduction of patient waiting times and the increase of therapy equipment utilisation. The problem is m”
- Dynamic Multipriority Patient Scheduling for a Diagnostic Resource (2008, background): “Comprehensive reviews of the broader appointment scheduling literature include Magerlein and Martin (1978), Cayirli and Veral (2003), Denton and Gupta (2003), and Mondschein and Weintraub (2003).”
- Clinic Overbooking to Improve Patient Access and Increase Provider Productivity (2007, background): “Out of 36 articles categorized in a recent review of outpatient scheduling literature by Cayirli and Veral (2003) , only 11 include the possibility of no-shows and only 4 include policies to mitigate the effects of no-show behavior.”