Case—AdWords to AdWards: Online Optimization for Hospital Patient Placement

This case illustrates online optimization algorithms for sequential decision making. Students are asked to translate an unfamiliar healthcare setting into a well-known online optimization problem, the Google AdWords problem. The case is based on an actual process improvement project aimed at maximizing the use of a hospital’s capacity. The main character, Dr. Kelly, heads an observation unit and had tried a predictive model for patient assignments to her unit versus the hospital wards, which, however, can sometimes lead to inefficient bed capacity management. She is looking to improve patient allocation decisions made in real time. The complexity of the healthcare environment makes the mapping challenging, requires discussions with experts with domain knowledge and various stakeholders in the process, and raises ethical questions.

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Publication Details

Journal
INFORMS Transactions on Education
Published
2026-11-05
DOI
https://doi.org/10.1287/ited.2025.0147cs
Primary Topic
Healthcare Operations and Scheduling Optimization
Type
article
Field-Weighted Citation Impact
0.00
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Case—AdWords to AdWards: Online Optimization for Hospital Patient Placement

Dessislava A. Pachamanova, Keely Dwyer‐Matzky, Vera Tilson
INFORMS Transactions on Education
Healthcare Operations and Scheduling Optimization
article

Case—AdWords to AdWards: Online Optimization for Hospital Patient Placement

Dessislava A. Pachamanova, Keely Dwyer‐Matzky, Vera Tilson
article en

Abstract

This case illustrates online optimization algorithms for sequential decision making. Students are asked to translate an unfamiliar healthcare setting into a well-known online optimization problem, the Google AdWords problem. The case is based on an actual process improvement project aimed at maximizing the use of a hospital’s capacity. The main character, Dr. Kelly, heads an observation unit and had tried a predictive model for patient assignments to her unit versus the hospital wards, which, however, can sometimes lead to inefficient bed capacity management. She is looking to improve patient allocation decisions made in real time. The complexity of the healthcare environment makes the mapping challenging, requires discussions with experts with domain knowledge and various stakeholders in the process, and raises ethical questions.

INFORMS Transactions on Education
University of Rochester Medical Center (US), Golisano Children's Hospital (US), University of Rochester (US), Babson College (US)
Openalex Percentile: Top 13%
Healthcare Operations and Scheduling Optimization
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