@phdthesis{Kurrek2015,
  author    = {Kurrek, Matthias M.},
  title     = {Simulation To Establish Benchmark Outcome Measures},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-143882},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2015},
  abstract  = {Following the early experiences in aviation, medical simulation has rapidly evolved into one of the most novel educational tools of the last three decades. In addition to its use in training individuals or teams in crisis resource management, simulation has been studied as a tool to evaluate technical and non-technical skills of individuals as well as, more recently, entire medical teams. It is usually fairly difficult to obtain clinical reference data from critical events to refute claims that the management of actual events fell below what could reasonably be expected and we demonstrated the use of rank order statistics to calculate quantiles with confidence limits for management times of critical obstetrical events using data from realistic simulation. This approach could be used to describe the distribution of treatment times in order to assist in deciding what performance may constitute an outlier. It can also identify particular challenges of clinical practice and allow the development of educational curricula. While the information derived from simulation has to be interpreted with a high degree of caution for a clinical context, it may represent a further 'added value' or important step in establishing simulation as a training tool and to provide information that could be used in an appropriate clinical context for adverse events. Large amounts of data (such as from a simulation registry) would allow the calculation of acceptable confidence intervals for the required outcome parameters as well as actual tolerance limits.},
  language  = {en}
}