Zuweisung und Planung von Operationsraumkapazit�ten

Status quo and current trends of operating room management in Germany

PURPOSE OF REVIEW

Ongoing healthcare reforms in Germany have required strenuous efforts to adapt hospital and operating room organizations to the needs of patients, new technological developments, and social and economic demands. This review addresses the major developments in German operating room management research and current practice.

RECENT FINDINGS

The introduction of the diagnosis-related group system in 2003 has changed the incentive structure of German hospitals to redesign their operating room units. The role of operating room managers has been gradually changing in hospitals in response to the change in the reimbursement system. Operating room managers are today specifically qualified and increasingly externally hired staff. They are more and more empowered with authority to plan and control operating rooms as profit centers. For measuring performance, common perioperative performance indicators are still scarcely implemented in German hospitals. In 2008, a concerted time glossary was established to enable consistent monitoring of operating room performance with generally accepted process indicators. These key performance indicators are a consistent way to make a procedure or case - and also the effectiveness of the operating room management - more transparent.

SUMMARY

In the presence of increasing financial pressure, a hospital's executives need to empower an independent operating room management function to achieve the hospital's economic goals. Operating room managers need to adopt evidence-based methods also from other scientific fields, for example management science and information technology, to further sustain operating room performance.

[Economic benefits of overlapping induction: investigation using a computer simulation model]

The aim of this study was to investigate the potential economic benefit of overlapping anaesthesia induction given that all patient diagnosis-related groups (AP DRG) are used as the model for hospital reimbursement. A computer simulation model was used for this purpose. Due to the resource-intensive production process, the operating room (OR) environment is the most expensive part of the supply chain for surgical disciplines. The economical benefit of a parallel production process (additional personnel, adaptation of the process) as compared to a conventional serial layout was assessed. A computer-based simulation method was used with commercially available simulation software. Assumptions for revenues were made by reimbursement based on AP DRG. Based on a system analysis a model for the computer simulation was designed on a step-by-step abstraction process. In the model two operating rooms were used for parallel processing and two operating rooms for a serial production process. Six different types of surgical procedures based on historical case durations were investigated. The contribution margin was calculated based on the increased revenues minus the cost for the additional anaesthesia personnel. Over a period of 5 weeks 41 additional surgical cases were operated under the assumption of duration of surgery of 89+/-4 min (mean+/-SD). The additional contribution margin was CHF 104,588. In the case of longer surgical procedures with 103+/-25 min duration (mean+/-SD), an increase of 36 cases was possible in the same time period and the contribution margin was increased by CHF 384,836. When surgical cases with a mean procedural time of 243+/-55 min were simulated, 15 additional cases were possible. Therefore, the additional contribution margin was CHF 321,278. Although costs increased in this simulation when a serial production process was changed to a parallel system layout due to more personnel, an increase of the contribution margin was possible, especially with procedures of shorter duration (<120 min). For longer surgical times, the additional costs for the workforce result in a reduced contribution margin depending on the models chosen to handle overtime of the technical OR personnel. Important advantages of this approach for simulation are the use of the historical production data and the reflection of the specificities of the local situation. Computer simulation is an ideal tool to support operation room management, particularly regarding the planning of resource allocation and the coordination of workflow.

[Key performance indicators of OR efficiency. Myths and evidence of key performance indicators in OR management]

A variety of different key performance indicators, both for process and financial performance, are used to evaluate OR efficiency. Certain indicators like OR utilization and turnover times seem to become common standard in many hospitals to evaluate OR process performance. Despite the general use and availability of these indicators in OR management, the scientific evidence behind these data is relatively low. These process indicators are strongly influenced by artefacts and depend on planning process, resource allocation and documentation. Direct financial indicators become more important with increasing autonomy of OR management. Besides budgetary compliance the focus is set on the net results of internal transfer pricing systems. By taking part in an internal transfer pricing system, OR management develops from a mere passive cost center to an active shaper of perioperative processes. However, detailed knowledge of the origin of costs and pitfalls of internal transfer pricing systems is crucial. The increased transparency due to the free accessibility of diagnosis-related-groups (DRG) cost breakdown data can help to develop tools for economic analysis of OR efficiency.

The Impact of Service-Specific Staffing, Case Scheduling, Turnovers, and First-Case Starts on Anesthesia Group and Operating Room Productivity: A Tutorial Using Data from an Australian Hospital

BACKGROUND

In this tutorial, we consider the impact of operating room (OR) management on anesthesia group and OR labor productivity and costs. Most of the tutorial focuses on the steps required for each facility to refine its OR allocations using its own data collected during patient care.

METHODS

Data from a hospital in Australia are used throughout to illustrate the methods. OR allocation is a two-stage process. During the initial tactical stage of allocating OR time, OR capacity ("block time") is adjusted. For operational decision-making on a shorter-term basis, the existing workload can be considered fixed. Staffing is matched to that workload based on maximizing the efficiency of use of OR time.

RESULTS

Scheduling cases and making decisions on the day of surgery to increase OR efficiency are worthwhile interventions to increase anesthesia group productivity. However, by far, the most important step is the appropriate refinement of OR allocations (i.e., planning service-specific staffing) 2-3 mo before the day of surgery.

CONCLUSIONS

Reducing surgical and/or turnover times and delays in first-case-of-the-day starts generally provides small reductions in OR labor costs. Results vary widely because they are highly sensitive both to the OR allocations (i.e., staffing) and to the appropriateness of those OR allocations.