Automated Bed Assignments in a Complex and Dynamic Hospital Environment

Bed management, an important function of any hospital, has a major impact on patient care, patient flow, patient and staff satisfaction, and ultimately on the hospital’s operating margin. A key challenge in bed management is optimizing the bed-assignment process in a complex and dynamic operating en...

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Veröffentlicht in:Interfaces (Providence) 2013-09, Vol.43 (5), p.435-448
Hauptverfasser: Thomas, Bex George, Bollapragada, Srinivas, Akbay, Kunter, Toledano, David, Katlic, Peter, Dulgeroglu, Onur, Yang, Dan
Format: Artikel
Sprache:eng
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Zusammenfassung:Bed management, an important function of any hospital, has a major impact on patient care, patient flow, patient and staff satisfaction, and ultimately on the hospital’s operating margin. A key challenge in bed management is optimizing the bed-assignment process in a complex and dynamic operating environment. Efficient bed assignment requires the merging of clinical information, hospital operations information, interdependencies between units, and real-time information on patients, resources, and workflows. We have developed analytical decision support tools with embedded mathematical models to periodically recommend bed-patient assignments. Using an innovative mixed-integer goal-programming modeling approach, we are able to accommodate the multiple goals and complex operating rules of different hospitals. We implemented and hosted our prototype bed-assignment solution as a cloud-based application for Mount Sinai Medical Center in New York.
ISSN:0092-2102
2644-0865
1526-551X
2644-0873
DOI:10.1287/inte.2013.0701