Clinic scheduling models with overbooking for patients with heterogeneous no-show probabilities

By Bo Zeng, Ayten Turkcan, Ji Lin, Mark A. Lawley. 2010

194 citations recorded by the source corpus.

Subfields: Emergency Medical Services, Statistics and Probability, Surgery

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Emergency Medical Services

1. Chao Yu
2. Jiming Liu
3. Shamim Nemati

In Statistics and Probability

1. Chao Yu
2. Jiming Liu
3. Shamim Nemati

In Surgery

1. Shamim Nemati
2. Chao Yu
3. Jiming Liu

Citations in the corpus

• Reinforcement Learning in Healthcare: A Survey (2019, background): “ctive of the service provider is to maximize profit overtime, considering various customer classes and service types with dynamics or uncertainties such as cancellations or no-shows of patients [280], [281]. Since the optimal resource allocation problem in BPM can be seen as a sequential decision mak”
• Approximate dynamic programming for capacity allocation in the service industry (2010, unknown): “[46] consider stochastic service times but no tardiness of clients.”