The DOI matches its Crossref record; 28 of the 28 references it cites were found in a registry or an index.
Dynamic Scheduling of Outpatient Appointments Under Patient No-Shows and Cancellations
Abstract
This paper develops a framework and proposes heuristic dynamic policies for scheduling patient appointments, taking into account the fact that patients may cancel or not show up for their appointments. In a simulation study that considers a model clinic, which is created using data obtained from an actual clinic, we find that the heuristics proposed outperform all the other benchmark policies, particularly when the patient load is high compared with the regular capacity. Supporting earlier findings in the literature, we find that the open access policy, a recently proposed popular scheduling paradigm that calls for “meeting today's demand today,” can be a reasonable choice when the patient load is relatively low.
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Cites
Simulation Modeling and Analysis.
Schervish, M. J., Law, A. M., & Kelton, W. D. (1983) · Journal of the American Statistical Association · doi:10.2307/2288169 · Cited by 8,697
Simulation modeling and analysis
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Stochastic orders and their applications
Shaked, M., & Shanthikumar, J. G. (1994) · Cited by 2,125
Appointment Scheduling in Health Care: Challenges and Opportunities
Gupta, D., & Denton, B. (2008) · IIE Transactions · doi:10.1080/07408170802165880 · Cited by 1,043
OUTPATIENT SCHEDULING IN HEALTH CARE: A REVIEW OF LITERATURE
CAYIRLI, T., & VERAL, E. (2003) · Production and Operations Management · doi:10.1111/j.1937-5956.2003.tb00218.x · Cited by 986
Stochastic models: an algorithmic approach
(1995) · Choice Reviews Online · doi:10.5860/choice.32-6289 · Cited by 776
Kh, S., & Friedemann, H. (1991) · PubMed · Cited by 464
Dynamic Multipriority Patient Scheduling for a Diagnostic Resource
Patrick, J., Puterman, M. L., & Queyranne, M. (2008) · Operations Research · doi:10.1287/opre.1080.0590 · Cited by 377
A Sequential Bounding Approach for Optimal Appointment Scheduling
Denton, B., & Gupta, D. (2003) · IIE Transactions · doi:10.1080/07408170304395 · Cited by 340
Clinic Overbooking to Improve Patient Access and Increase Provider Productivity*
LaGanga, L. R., & Lawrence, S. R. (2007) · Decision Sciences · doi:10.1111/j.1540-5915.2007.00158.x · Cited by 338
Cited by
Outpatient appointment scheduling given individual day-dependent no-show predictions
Samorani, M., & LaGanga, L. R. (2015) · European Journal of Operational Research · doi:10.1016/j.ejor.2014.06.034 · Cited by 126
Metadata
- Authors
- Liu, N., Ziya, S., & Kulkarni, V. G.
- Venue
- Manufacturing & Service Operations Management
- Published
- 2010-04
- Volume
- 12
- Issue
- 2
- Pages
- 347-364
- ISSN
- 1523-4614 (ISSN-L)
- 1526-5498
- OpenAlex
- W2123619613
- Cited by
- 316
- References
- 28
- FWCI
- 15.07
- Type
- journal article
- Language
- en
- Open access
- closed
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- Liu, N., Ziya, S., & Kulkarni, V. G. (2010). Dynamic Scheduling of Outpatient Appointments Under Patient No-Shows and Cancellations. Manufacturing & Service Operations Management. https://doi.org/10.1287/msom.1090.0272
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
