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PubMed2002

Foucault could have been an operating room nurse.

BACKGROUND: Operating room nursing is an under-researched area of nursing practice. The stereotypical image of operating room nursing is one of task- and technically-orientated aspects of practice, where nurses work in a medical model and are dominated by constraints from outside their sphere of influence. This paper explores the possibility of understanding operating room nursing in a different way. AIM: Using the work of Michel Foucault to analyse the work of operating room nursing, this paper argues the relevance of the framework for a more in-depth analysis of this specialty area of practice. CONTENT: The concepts of power, discipline and subjectivity are used to demonstrate how operating room nursing is constructed as a discipline and how operating room nurses act to govern and construct the specialty. Exemplars are drawn from extensive professional experience, from guidelines of professional operating room nursing associations, as well as published texts. The focus is predominantly on the regulation of space and time to maintain the integrity of the sterile surgical field and issues of management, as well as the use of the ethical concept of the 'surgical conscience'. CONCLUSIONS: This form of analysis provides a level and depth of inquiry that has rarely been undertaken in operating room nursing. As such, it has the potential to provide a much needed, different view of operation room nursing that can only help to strengthen its professional foundations and development.

Ethics↗
PubMed1999

Which algorithm for scheduling add-on elective cases maximizes operating room utilization? Use of bin packing algorithms and fuzzy constraints in operating room management.

BACKGROUND: The algorithm to schedule add-on elective cases that maximizes operating room (OR) suite utilization is unknown. The goal of this study was to use computer simulation to evaluate 10 scheduling algorithms described in the management sciences literature to determine their relative performance at scheduling as many hours of add-on elective cases as possible into open OR time. METHODS: From a surgical services information system for two separate surgical suites, the authors collected these data: (1) hours of open OR time available for add-on cases in each OR each day and (2) duration of each add-on case. These empirical data were used in computer simulations of case scheduling to compare algorithms appropriate for "variable-sized bin packing with bounded space." "Variable size" refers to differing amounts of open time in each "bin," or OR. The end point of the simulations was OR utilization (time an OR was used divided by the time the OR was available). RESULTS: Each day there were 0.24 +/- 0.11 and 0.28 +/- 0.23 simulated cases (mean +/- SD) scheduled to each OR in each of the two surgical suites. The algorithm that maximized OR utilization, Best Fit Descending with fuzzy constraints, achieved OR utilizations 4% larger than the algorithm with poorest performance. CONCLUSIONS: We identified the algorithm for scheduling add-on elective cases that maximizes OR utilization for surgical suites that usually have zero or one add-on elective case in each OR. The ease of implementation of the algorithm, either manually or in an OR information system, needs to be studied.

Algorithms↗
PubMed1994

Fire safety in the operating room.

The operating room environment is considered a potentially significant fire hazard. The role of the anesthetist in preventing and handling fires is pivotal to patient survival. Means of preventing fires as well as extinguishing them are discussed.

Fires↗
PubMed2001

The reliability of an instrument for identifying and quantifying surgeons' teaching in the operating room.

BACKGROUND: The operating room is an important teaching venue where surgical residents develop their operative skills and clinical judgement. The purpose of this study was to establish reliability for an observation instrument designed to quantify surgeons' teaching behaviors in the operating room. METHODS: An instrument was developed to identify operating room teaching behaviors in four categories: informing, questioning, responding, and setting tone. Two trained observers coded videotaped operations. Cronbach's alpha was used to estimate the instrument's internal consistency, and criterion-related reliability was established through an interobserver agreement level (IOA). RESULTS: Results for each of the teaching behavior categories were as follows: informing (IOA = 86%, alpha = +0.978); questioning (IOA = 97%, alpha = +0.966); responding (IOA = 93%, alpha = +0.97); setting tone (IOA = 97%, alpha = +0.882). CONCLUSIONS: This instrument is reliable in identifying and quantifying surgeons' teaching behaviors in the operating room. Identifying teaching behaviors will be valuable to describing and enhancing teaching in the operating room.

Behavior↗
PubMedDate not supplied

Automated data collection and presentation in the operating room.

An 'Operating Room Data Integration System', is described which is used to collect, present and archive all important physiological parameters during open heart surgery. The system requires very little attention, and provides an easy to understand and coherent interface to the user. The system is adaptable to a large extend and thus data can be presented to the user in a manner, with which he or she is already familiar. Simple drivers can be written to enable connection of the system to almost any other piece of medical equipment, if the latter provides an analog or digital, output signal. Automatic logging of the acquired signals is then possible.

Computer Systems↗
PubMed2003

Operating room utilization alone is not an accurate metric for the allocation of operating room block time to individual surgeons with low caseloads.

INTRODUCTION: Many surgical suites allocate operating room (OR) block time to individual surgeons. If block time is allocated to services/groups and yet the same surgeon invariably operates on the same weekday, for all practical purposes block time is being allocated to individual surgeons. Organizational conflict occurs when a surgeon with a relatively low OR utilization has his or her allocated block time reduced. The authors studied potential limitations affecting whether a facility can accurately estimate the average block time utilizations of individual surgeons performing low volumes of cases. METHODS: Discrete-event computer simulation. RESULTS: Neither 3 months nor 1 yr of historical data were enough to be able to identify surgeons who had persistently low average OR utilizations. For example, with 3 months of data, the widths of the 95% CIs for average OR utilization exceeded 10% for surgeons who had average raw utilizations of 83% or less. If during a 3-month period a surgeon's measured adjusted utilization is 65%, there is a 95% chance that the surgeon's average adjusted utilization is as low as 38% or as high as 83%. If two surgeons have measured adjusted utilizations of 65% and 80%, respectively, there is a 16% chance that they have the same average adjusted utilization. Average OR utilization can be estimated more precisely for surgeons performing more cases each week. CONCLUSIONS: Average OR utilization probably cannot be estimated precisely for low-volume surgeons based on 3 months or 1 yr of historical OR utilization data. The authors recommend that at surgical suites trying to allocate OR time to individual low-volume surgeons, OR allocations be based on criteria other than only OR utilization (e.g., based on OR efficiency).

Computer Simulation↗
PubMed2003

How to release allocated operating room time to increase efficiency: predicting which surgical service will have the most underutilized operating room time.

At many facilities, surgeons and patients choose the day of surgery, cases are not turned away, and staffing is adjusted to maximize operating room (OR) efficiency. If a surgical service has already filled its allocated OR time, but has an additional case to schedule, then OR efficiency is increased by scheduling the new case into the OR time of a different service with much underutilized OR time. The latter service is said to be "releasing" its allocated OR time. In this study, we analyzed 3 years of scheduling data from a medium-sized and a large surgical suite. Theoretically, the service that should have its OR time released is the service expected to have the most underutilized OR time on the day of surgery (i.e., any future cases that may be scheduled into that service's time also need to be factored in). However, we show that OR efficiency is only slightly less when the service whose time is released is the service that has the most allocated but unscheduled (i.e., unfilled) OR time at the moment the new case is scheduled. In contrast, compromising by releasing the OR time of a service other than the one with the most allocated but unscheduled OR time markedly reduces OR efficiency. OR managers can use these results when releasing allocated OR time.

Appointments and Schedules↗