Title |
Managing daily surgery schedules in a teaching hospital: a mixed-integer optimization approach
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Published in |
BMC Health Services Research, October 2014
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DOI | 10.1186/1472-6963-14-464 |
Pubmed ID | |
Authors |
Raul Pulido, Adrian M Aguirre, Miguel Ortega-Mier, Álvaro García-Sánchez, Carlos A Méndez |
Abstract |
This study examined the daily surgical scheduling problem in a teaching hospital. This problem relates to the use of multiple operating rooms and different types of surgeons in a typical surgical day with deterministic operation durations (preincision, incision, and postincision times). Teaching hospitals play a key role in the health-care system; however, existing models assume that the duration of surgery is independent of the surgeon's skills. This problem has not been properly addressed in other studies. We analyze the case of a Spanish public hospital, in which continuous pressures and budgeting reductions entail the more efficient use of resources. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 84 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 15 | 18% |
Student > Master | 14 | 17% |
Student > Bachelor | 11 | 13% |
Student > Doctoral Student | 6 | 7% |
Researcher | 5 | 6% |
Other | 8 | 10% |
Unknown | 25 | 30% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 18 | 21% |
Medicine and Dentistry | 13 | 15% |
Business, Management and Accounting | 6 | 7% |
Decision Sciences | 3 | 4% |
Computer Science | 3 | 4% |
Other | 9 | 11% |
Unknown | 32 | 38% |