The Hybrid Hospital: Balancing On-Site and Remote Hospitalization
Noa Zychlinski, Gal Mendelson, Andrew Daw

TL;DR
This study models hybrid hospitals combining on-site and remote care, revealing that remote hospitalization is cost-effective only for moderately distant patients and highlighting the importance of resource allocation and travel risks.
Contribution
It introduces a Brownian Motion-based model for hybrid hospital operations and proposes practical policies for optimal patient and resource management.
Findings
Remote hospitalization is cost-effective for moderately distant patients.
Optimal resource allocation shifts with resource scarcity and patient types.
Travel risks may make on-site care more cost-effective for distant patients.
Abstract
Hybrid hospitals offer on-site and remote hospitalization through telemedicine. These new healthcare models require novel operational policies to balance costs, efficiency, and patient well-being. Our study addresses two first-order questions: (i) how to direct patient admission and call-in based on individual characteristics and proximity and (ii) how to determine the optimal allocation of medical resources between these two hospitalization options and among different patient types. We develop a model that uses Brownian Motion to capture the patient's health evolution during remote/on-site hospitalization and during travel. Under cost-minimizing call-in policies, we find that remote hospitalization can be cost-effective for moderately distant patients, as the optimal call-in threshold is non-monotonic in the patient's travel time. Subject to scarce resources, the optimal solution…
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Taxonomy
TopicsHealthcare Operations and Scheduling Optimization
MethodsEmirates Airlines Office in Dubai
