No abstract

Benchmarking sample mean turnover times among hospitals, without the use of confidence intervals, can be valid and useful. The authors successfully developed and validated a statistical method to estimate the percentage of turnover times at a surgical suite that are prolonged and occur at specified times of the day. Managers can target their quality improvement efforts on times of the day with the largest percentages of prolonged turnovers.

This paper analyzes the impact of sequencing rules on the phase I post anesthesia care unit (PACU) staffing and over-utilized operating room (OR) time resulting from delays in PACU admission. The sequencing rules are applied to each surgeon's list of cases independently. Discrete event simulation shows the importance of having a sufficient number of PACU nurses. Sequencing rules have a large impact on the maximum number of patients receiving care in the PACU (i.e., peak of activity). Seven sequencing rules are tested, over a wide range of scenarios. The largest effect of sequencing was on the percentage of days with at least one delay in PACU admission. The best rules are those that smooth the flow of patients entering in the PACU (HIHD (Half Increase in OR time and Half Decrease in OR time) and MIX (MIX OR time)). We advise against using the LCF (Longest Cases First) and equivalent sequencing methods. They generate more over-utilized OR time, require more PACU nurses during the workday, and result in more days with at least one delay in PACU admission.

Operating room cancellation rates can be monitored statistically by considering the number of canceled and performed cases during each 4-week period, performing a transformation of each period's cancellation rate, and then applying Student's t-test. Methods such as the Fisher's exact test and {chi}2 test should be avoided for this application because they can give erroneous results.

Designing new operating room (OR) facilities implies many decisions on the number of ORs, postanesthesia care unit (PACU) beds, and on the staff of nurses and porters. To make these decisions, managers can use rules of thumb or recommendations. Our study highlights the interest of using flow simulation to validate these choices. In this case study we determine the number of PACU beds and porter staff and assess the impact of decreasing the number of porters on PACU bed requirements.

Home Care (HC) services provide complex and coordinated medical and paramedical care to patients at their homes. As health care services move into the home setting, the need for developing innovative approaches that improve the efficiency of home care organizations increases. We first conduct a literature review of investigations dealing with operation planning within the area of home care management. We then address a particular issue dealing with the planning of operations related to chemotherapy at home as it is an emergent problem in the French context. Our interest is focused on issues specific to the anti-cancer drug supply chain. We identify various models that can be developed and analyze one of them.

No abstract

The uncoordinated decision-making of multiple surgeons working in different ORs can result in a sufficiently uniform rate of admission of patients into the PACU and holding that the independent sequencing of each surgeon's list of cases would not reduce the incidence of delays in admission or staffing requirements.