Event-based knowledge elicitation of operating room management decision-making using scenarios adapted from information systems data

<p>Abstract</p> <p>Background</p> <p>No systematic process has previously been described for a needs assessment that identifies the operating room (OR) management decisions made by the anesthesiologists and nurse managers at a facility that do not maximize the efficiency of use of OR time. We evaluated whether event-based knowledge elicitation can be used practically for rapid assessment of OR management decision-making at facilities, whether scenarios can be adapted automatically from information systems data, and the usefulness of the approach.</p> <p>Methods</p> <p>A process of event-based knowledge elicitation was developed to assess OR management decision-making that may reduce the efficiency of use of OR time. Hypothetical scenarios addressing every OR management decision influencing OR efficiency were created from published examples. Scenarios are adapted, so that cues about conditions are accurate and appropriate for each facility (e.g., if OR 1 is used as an example in a scenario, the listed procedure is a type of procedure performed at the facility in OR 1). Adaptation is performed automatically using the facility's OR information system or anesthesia information management system (AIMS) data for most scenarios (43 of 45). Performing the needs assessment takes approximately 1 hour of local managers' time while they decide if their decisions are consistent with the described scenarios. A table of contents of the indexed scenarios is created automatically, providing a simple version of problem solving using case-based reasoning. For example, a new OR manager wanting to know the best way to decide whether to move a case can look in the chapter on "Moving Cases on the Day of Surgery" to find a scenario that describes the situation being encountered.</p> <p>Results</p> <p>Scenarios have been adapted and used at 22 hospitals. Few changes in decisions were needed to increase the efficiency of use of OR time. The few changes were heterogeneous among hospitals, showing the usefulness of individualized assessments.</p> <p>Conclusions</p> <p>Our technical advance is the development and use of automated event-based knowledge elicitation to identify suboptimal OR management decisions that decrease the efficiency of use of OR time. The adapted scenarios can be used in future decision-making.</p

Impact of average patient acuity on staffing of the phase I PACU

The authors consider methods for determining staffing requirements for a Phase I PACU. Given that the total number of nursing hours per day is limited by budgetary constraints, PACU staffing can be adjusted to minimize the percentage of days that the PACU is full and cannot accept additional patients from the OR. Except for very small PACUs, the number of staffing options is so large that computer optimization methods must be used. In addition, patient acuity must be incorporated into the staffing plan. Methods are described for adjusting staffing requirements when some patient acuities differ from 1 nurse:2 patients, when patients transition from one acuity to another, and when acuity is not known for all patients

Decreasing the Hours That Anesthesiologists and Nurse Anesthetists Work Late by Making Decisions to Reduce the Hours of Over-Utilized Operating Room Time

In this special article, we evaluate how to reduce the number of hours that anesthesiologists and nurse anesthetists work beyond the end of their scheduled shifts. We limit consideration to surgical suites where the hours of cases in each operating room (OR) average 8 hours or more per day. Let "allocated hours" refer to the hours into which cases are scheduled, calculated months in advance for each combination of service and day of the week. Over-Utilized time is the OR workload exceeding allocated time. Reducing Over-Utilized time is the key to reducing the hours that anesthesia providers work late. Certain decisions that reduce Over-Utilized time and reduce the hours that anesthesiologists and nurse anesthetists work late are made by the surgical committee or perioperative medical director months in advance. Such decisions include increasing the number of first case starts and planning staffing for turnovers and lunch breaks during the busiest times of the day. However, most decisions substantively influencing Over-Utilized OR time are made within 1 workday before the day of surgery and on the day of surgery, because only then are ORs sufficiently full that changes can be made to minimize Over-Utilized time. Decisions to reduce Over-Utilized time on the day of surgery include targeting ORs with expected Over-Utilized time and taking steps to reduce it, including making effective staff assignments and appropriately scheduling add-on cases

Estimate of the Relative Risk of Succinylcholine for Triggering Malignant Hyperthermia

BACKGROUND: Facilities with volatile anesthetic agents stock dantrolene for the treatment of malignant hyperthermia (MH). The availability of dantrolene at these facilities satisfies cost-utility norms even for sites with as few as 1 anesthetic per workday, based on the overall incidence of MH per anesthetic. We considered the stocking of dantrolene at facilities with succinylcholine alone (i.e., where volatile anesthetics are not available), by using registry data and estimates of the frequency of administration of succinylcholine during anesthesia. We determine the magnitude of the relative risk of the administration of succinylcholine for triggering MH. METHODS:The relative risk of triggering MH by succinylcholine versus volatile agents was calculated using data from 2 sources. The ratio of the number of cases of MH among patients receiving succinylcholine to number among patients not receiving succinylcholine was estimated from the previously published cohort of 284 cases of MH from the North American MH Registry of the MH Association of the United States (MHAUS). The percentage of anesthetics with succinylcholine was estimated using anesthesia information management system data from a typical North American hospital comprising tertiary operating rooms, obstetrics unit, ambulatory surgical center, and endoscopy and radiological suites. RESULTS: The relative risk of MH with versus without succinylcholine was 19.6 (lower 95% confidence limit > 16.1). Limiting to cases with volatile anesthetics, the relative risk was 9.1 (>7.5). Both relative risks exceed 1.0 (P < 0.0001). Because more than half of the reported cases of MH included the use of succinylcholine, the relative risk exceeded 1.0 provided fewer than half of anesthetics in North America included the use of succinylcholine. The incidences of succinylcholine use at the hospital were 5.8% and 11.6% for all anesthetics and for anesthetics with volatile agents, respectively. CONCLUSIONS: Our results provide no insight into the triggering mechanism for MH (i.e., succinylcholine could in isolation have an extremely low incidence of inducing MH, yet markedly increase the risk when administered in combination with volatile anesthetics). Until more epidemiologic data are collected and analyzed, having dantrolene available, where succinylcholine may be used, is reasonable, and this practice should be maintained. (Anesth Analg 2013;116:118-22

Meta-analysis of desflurane and propofol average times and variability in times to extubation and following commands

Purpose We performed a meta-analysis to compare the operating room recovery time of desflurane with that of propofol. Methods Studies were included in which a) humans were assigned randomly to propofol or desflurane groups without other differences between groups (e.g., induction drugs) and b) mean and standard deviation were reported for extubation time and/or time to follow commands. Since there was heterogeneity of variance between treatment groups in the log-scale (i.e., unequal coefficients of variation of observations in the time scale), generalized pivotal methods for the lognormal distribution were used as inputs of the random effects meta-analyses. Results Desflurane reduced the variability (i.e., standard deviation) in time to extubation by 26% relative to propofol (95% confidence interval [CI], 6% to 42%; P = 0.006) and reduced the variability in time to follow commands by 39% (95% CI, 25% to 51%; P < 0.001). Desflurane reduced the mean time to extubation by 21% (95% CI, 9% to 32%; P = 0.001) and reduced the mean time to follow commands by 23% (95% CI, 16% to 30%; P < 0.001). Conclusions The mean reduction in operating room recovery time for desflurane relative to propofol was comparable with that shown previously for desflurane relative to sevoflurane. The reduction in variability exceeded that of sevoflurane. Facilities can use the percentage differences when making evidence-based pharmacoeconomic decisions