Document Type
Article
Publication Date
12-4-2019
Publication Title
International Journal of Clinical & Medical Informatics
First Page
71
Last Page
81
Additional Publication URL
http://www.tridhascholars.org/pdfs/assigning-triaged-patients-to-treatment-rooms-in-a-hospital-emergency-department-ijcmi-2-1019.pdf
Abstract
The assigning of new arrivals at a hospital emergency department to treatment rooms was examined. New patients are summarily triaged and assigned to a treatment room based on severity of their symptoms, the grade of a treatment room, and an exponential benefit curve that encourages the solver to schedule the most severe cases early. SAS’s OPTMODEL modeling language was employed to build the model and SAS’s MILP solver was used to perform the scheduling. Up to thirty patients were optimally assigned to depict the example of a large emergency department.
Rights
Originally published by International Journal of Clinical & Medical Informatics under a Creative Commons 4.0 license in the International Journal of Clinical & Medical Informatics, 2019, Volume 2, Issue 2. The original article can be found here.
Recommended Citation
King, Barry E. King E.; Pollard, Tyler; Rice, Jennifer; and Siegler, Jane, "Assigning Triaged Patients to Treatment Rooms in a Hospital Emergency Department" (2019). Scholarship and Professional Work - Business. 301.
https://digitalcommons.butler.edu/cob_papers/301
