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Once collected, all data are anonymized and sent to the so-called benchmark server where participants can compare their own results with those of other hospitals. Filter functions enable the user to choose different parameters and to do stratifications according to different fields of medical treatment. At this, the user can identify his own data and compare them with other anonymized data sets. An automated data analyzing allows a prompt, nearly realtime feedback (fig. 1 and 2)

Fig. 1: Online presentation "Patients with side-effects"

Additionally, the performance in the course of time can be shown. This feature permits the assessment of effects caused by modifications of procedures (fig. 1). Frequently, changes of "own" data are more likely to be accepted than comparisons with other institutions.

Fig. 2: Online presentation "Patients with handicaps"

Because of the considerable number of data sets, an offline evaluation of many additional aspects is possible (e.g. surgery-specific problems, influences of different anesthesia procedures or use of analyses of variance in order to identify independent factors of influence on the outcome).
The identification of so-called tracer-operations that are characteristic for a particular field of medicine (e.g. cholezystectomy for abdominal surgery) provides an additional reduction of variables and thus an even more valid comparison of different hospitals as well as a further economization of data collection.
Those offline-evaluations can be coordinated by the steering committee of the DGAI. Furthermore, each participant can use his own data sets without any restrictions for evaluation purposes.

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