Conference Agenda

Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).

 
 
Session Overview
Session
SD02 - SIG Healthcare4: Patient flow in healthcare systems
Time:
Sunday, 26/June/2022:
SD 15:00-16:30

Session Chair: Jonas Jonasson
Session Chair: Pengyi Shi
Location: Forum 8


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Presentations

Design of patient visit itineraries in tandem systems

Nan Liu1, Guohua Wan2, Shan Wang3

1Boston College, United States of America; 2Shanghai Jiao Tong University, China; 3Sun Yat-sen University, China

Discussant: Jingui Xie (Technical University of Munich)

In many healthcare settings, patients receive a series of services during a single visit, e.g., infusion care and orthopedic visit. A key commonality is the tandem structure where each stage involves a non-trivial random service time. We develop the first analytic model to provide each patient an individualized visit itinerary in a tandem health service system. A case study populated by data from a large infusion center shows that our approach makes a remarkable 27% cost reduction over practice.



What causes delays in admission to rehabilitation care? A structural estimation approach

Jing Dong1, Berk Gorgulu2, Vahid Sarhangian2

1Decision, Risk, and Operations, Columbia Business School; 2Department of Mechanical and Industrial Engineering, University of Toronto, Canada

Discussant: Christopher Chen (Indiana University)

Delays in admission to rehabilitation care can be both capacity-driven and/or due to processing delays. Standard data however only includes a single measure of delay, and the bed allocation decisions in practice do not follow a systematic policy. We propose a hidden Markov model to estimate the processing times and the status-quo bed allocation policy. We validate our structural model and conduct counterfactual experiments to evaluate various operational interventions aimed at reducing delays.



 
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