
A methodology to determine and maintain the schedule times used in a computer-based OR Scheduling System is presented. State-of-the-art equations to be used for different scheduling situations are presented and discussed with the attendant data base reduction methodology to provide the scheduling parameters. An example is given of the data reduction methodology as well as suggestions for maintenance of the data base.
Operating Room Information Systems, Operating Rooms, Time Factors, Statistics, Statistics for Life Sciences, Management Information Systems, Engineering, Software Design, Health Informatics & Health Administration, Health Sciences, Computer Science, Hospital Information Systems, Medicine, Humans, Personnel Staffing and Scheduling Information Systems
Operating Room Information Systems, Operating Rooms, Time Factors, Statistics, Statistics for Life Sciences, Management Information Systems, Engineering, Software Design, Health Informatics & Health Administration, Health Sciences, Computer Science, Hospital Information Systems, Medicine, Humans, Personnel Staffing and Scheduling Information Systems
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 29 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 1% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
