Bex George Thomas

Clerkin D

Cote M

Dan Yang

David Toledano

Kunter Akbay

Nicholls AG

Onur Dulgeroglu

Peter Katlic

Rathley NK

Srinivas Bollapragada

 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. </jats:p

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INFORMS Journal on Applied Analytics

Automated Bed Assignments in a Complex and Dynamic Hospital Environment

Automated Bed Assignments in a Complex and Dynamic Hospital Environment

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