Name
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1287/inte.2013.0701 | INTERFACES |
Keywords | Field | DocType |
health services, hospital bed management, optimization, goal programming, cloud computing | Interdependence,Operating margin,Operating environment,Decision support system,Goal programming,Engineering,Merge (version control),Workflow,Operations management,Management science,Cloud computing | Journal |
Volume | Issue | ISSN |
43 | 5 | 0092-2102 |
Citations | PageRank | References |
3 | 0.37 | 1 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bex George Thomas | 1 | 4 | 0.73 |
| Srinivas Bollapragada | 2 | 133 | 16.49 |
| Kunter Akbay | 3 | 3 | 0.37 |
| David Toledano | 4 | 5 | 1.18 |
| Peter Katlic | 5 | 3 | 0.37 |
| Onur Dulgeroglu | 6 | 3 | 0.71 |
| Dan Yang | 7 | 5 | 0.75 |