[The use of diagnosis-related-groups data for external benchmarking of anesthesia and intensive care services]
Standard
[The use of diagnosis-related-groups data for external benchmarking of anesthesia and intensive care services]. / Schuster, Martin; Kuntz, L; Hermening, D; Bauer, M; Abel, K; Goetz, Alwin E.
in: ANAESTHESIST, Jahrgang 55, Nr. 1, 1, 2006, S. 26-32.Publikationen: SCORING: Beitrag in Fachzeitschrift/Zeitung › SCORING: Zeitschriftenaufsatz › Forschung › Begutachtung
Harvard
APA
Vancouver
Bibtex
}
RIS
TY - JOUR
T1 - [The use of diagnosis-related-groups data for external benchmarking of anesthesia and intensive care services]
AU - Schuster, Martin
AU - Kuntz, L
AU - Hermening, D
AU - Bauer, M
AU - Abel, K
AU - Goetz, Alwin E.
PY - 2006
Y1 - 2006
N2 - Measurement and assessment of the economic efficiency of clinical departments is still an unresolved, yet important problem in hospital management. Benchmarking with other providers can help to evaluate one's own efficacy in anaesthesia and intensive care services. In this article we describe a method for using the diagnosis-related-groups (DRG) cost breakdown data, to achieve a case mix adjusted comparison of own costs for anaesthesia and intensive care services with the average costs in German hospitals. On the basis of 19,401 cases from 10 different surgical departments, we compared our own costs with the German-wide benchmark. Major factors for profit optimisation are discussed. Special attention is given to the close interaction of surgical, anaesthesiological and intensive care process performance and costs and its impact on benchmarking studies.
AB - Measurement and assessment of the economic efficiency of clinical departments is still an unresolved, yet important problem in hospital management. Benchmarking with other providers can help to evaluate one's own efficacy in anaesthesia and intensive care services. In this article we describe a method for using the diagnosis-related-groups (DRG) cost breakdown data, to achieve a case mix adjusted comparison of own costs for anaesthesia and intensive care services with the average costs in German hospitals. On the basis of 19,401 cases from 10 different surgical departments, we compared our own costs with the German-wide benchmark. Major factors for profit optimisation are discussed. Special attention is given to the close interaction of surgical, anaesthesiological and intensive care process performance and costs and its impact on benchmarking studies.
M3 - SCORING: Zeitschriftenaufsatz
VL - 55
SP - 26
EP - 32
JO - ANAESTHESIST
JF - ANAESTHESIST
SN - 0003-2417
IS - 1
M1 - 1
ER -