Operating room management and operating room productivity: the case of Germany.
ABSTRACT We examine operating room productivity on the example of hospitals in Germany with independent anesthesiology departments. Linked to anesthesiology group literature, we use the ln(Total Surgical Time/Total Anesthesiologists Salary) as a proxy for operating room productivity. We test the association between operating room productivity and different structural, organizational and management characteristics based on survey data from 87 hospitals. Our empirical analysis links improved operating room productivity to greater operating room capacity, appropriate scheduling behavior and management methods to realign interests. From this analysis, the enforcing jurisdiction and avoiding advance over-scheduling appear to be the implementable tools for improving operating room productivity.
- SourceAvailable from: Ruth E Wachtel[Show abstract] [Hide abstract]
ABSTRACT: The Perioperative Surgical Home is a model adopted by the American Society of Anesthesiologists to increase quality and patient safety and to decrease costs. This Special Article is about the latter topic. Using narrative review, we show that there are two principal opportunities for net cost reduction. One opportunity is to reduce unnecessary interventions that do not have potential to benefit patients (e.g., preoperative laboratory studies in healthy patients undergoing low-risk surgery and use of substantial fresh gas flows with volatile anesthetics). The other opportunity is to optimize staff scheduling, case scheduling, and staff assignment. These two are the same as the principal ways that a positive return on investment can be achieved from use of an anesthesia information management system. Three other opportunities are much less likely to achieve as large (if any) net cost reduction among all patients but may at some hospitals. These are to reduce cancellations, operating room times, and/or hospital postoperative lengths of stay.Anesthesia and analgesia 05/2014; 118(5):1062-1071. · 3.08 Impact Factor
- [Show abstract] [Hide abstract]
ABSTRACT: BACKGROUND:Theoretically, communication systems have the potential to increase the productivity of anesthesiologists supervising anesthesia providers. We evaluated the maximal potential of communication systems to increase the productivity of anesthesia care by enhancing anesthesiologists' coordination of care (activities) among operating rooms (ORs).METHODS:At hospital A, data for 13,368 pages were obtained from files recorded in the internal alphanumeric text paging system. Pages from the postanesthesia care unit were processed through a numeric paging system and thus not included. At hospital B, in a different US state, 3 of the authors categorized each of 898 calls received using the internal wireless audio system (Vocera(®)). Lower and upper 95% confidence limits for percentages are the values reported.RESULTS:At least 45% of pages originated from outside the ORs (e.g., 20% from holding area) at hospital A and at least 56% of calls (e.g., 30% administrative) at hospital B. In contrast, requests from ORs for urgent presence of the anesthesiologist were at most 0.2% of pages at hospital A and 1.8% of calls at hospital B.CONCLUSIONS:Approximately half of messages to supervising anesthesiologists are for activity originating outside the ORs being supervised. To use communication tools to increase anesthesia productivity on the day of surgery, their use should include a focus on care coordination outside ORs (e.g., holding area) and among ORs (e.g., at the control desk).Anesthesia and analgesia 02/2013; · 3.08 Impact Factor
- [Show abstract] [Hide abstract]
ABSTRACT: Consumer-driven health care relies on transparency in cost estimates for surgery, including anesthesia professional fees. Using systematic narrative review, we show that providing anesthesia costs requires that each facility (anesthesia group) estimate statistics, reasonably the mean and the 90% upper prediction limit of case durations by procedure. The prediction limits need to be calculated, for many procedures, using Bayesian methods based on the log-normal distribution. Insurers and/or governments lack scheduled durations and procedures and cannot practically infer these estimates because of the large heterogeneities among facilities in the means and coefficients of variation of durations. Consequently, the insurance industry cannot provide the cost information accurately from public and private databases. Instead, the role of insurers and/or governments can be to identify facilities with significantly briefer durations (costs to the patient) than average. Such comparisons of durations among facilities should be performed with correction for the effects of the multiple comparisons. Our review also has direct implications to the potentially more important issue of how to study the association between anesthetic durations and patient morbidity and mortality. When pooling duration data among facilities, both the large heterogeneity in the means and coefficients of variation of durations among facilities need to be considered (e.g., using "multilevel" or "hierarchical" models).Anesthesia and analgesia 04/2013; · 3.08 Impact Factor