Paper Info
Title
Improving Open Access Policy For Scheduling Outpatient Appointments
Abstract
We present empirical and analytical results of our research that focuses on improving the Open Access (same day appointment) models for scheduling patients in a family practice setup. We show the value of dynamically incorporating the effect of anticipated behavior of patients on the expected load of the clinic. We find that many policies outperform OAP but when delay costs are introduced OAP is still robust when there is enough capacity at the clinic. We show that when both the capacity of the clinic is less than the demand and when the delay costs are significant, a simple forward looking policy does better than other current policies
Year
DOI
Venue
2016
10.1109/HICSS.2016.590
PROCEEDINGS OF THE 49TH ANNUAL HAWAII INTERNATIONAL CONFERENCE ON SYSTEM SCIENCES (HICSS 2016)
Field
DocType
ISSN
Computer science,Scheduling (computing),Operations research,Knowledge management,Robustness (computer science),Schedule,Probabilistic logic,Operations management
Conference
1060-3425
Citations 
PageRank 
References 
0
0.34
2
Authors
2
Name
Order
Citations
PageRank
Balaraman Rajan182.26
Abraham Seidmann2704112.90