Comparison of subjective versus data base approaches for improving efficiency of operating room scheduling
Autor: | Jonathan S. Ketcham, Yasar A. Ozcan, Ramesh K. Shukla |
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Rok vydání: | 1990 |
Předmět: |
Operating Room Information Systems
Operating Rooms Models Statistical Databases Factual Computer science 030503 health policy & services Health Policy Virginia Efficiency Scheduling system Base (topology) Reliability engineering Scheduling (computing) 03 medical and health sciences Appointments and Schedules 0302 clinical medicine Time and Motion Studies Hospital Bed Capacity 100 to 299 Humans Operations management 030212 general & internal medicine 0305 other medical science Block (data storage) Forecasting |
Zdroj: | Health services management research. 3(2) |
ISSN: | 0951-4848 |
Popis: | This paper compares subjective and four data-based models to estimate length of surgery for operating room scheduling systems. The four data-based models for predicting case block length are based on 1) procedure, 2) procedure and surgeon, 3) procedure and case complexity, and 4) procedure, case complexity, and surgeon. Data-based approaches performed better than subjective estimates. In establishind data-based standards it is more important to account for complexity of cases than for differences among surgeons. |
Databáze: | OpenAIRE |
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