Authors:
Mareike Burmester
1
;
2
;
Paul-Ulrich Menz
3
;
Vera Ries
4
;
Klaus-Peter Thiele
4
;
Bernhard van Treeck
5
and
Reinhard Schuster
1
;
2
Affiliations:
1
Medical Advisory Board of Statutory Health Insurance in Northern Germany (MD Nord), 23554 Lübeck, Germany
;
2
Institute of Mathematics, University of Lübeck, 23562 Lübeck, Germany
;
3
Medical Advisory Board of Statutory Health Insurance in Westphalia-Lippe (MD Westfalen-Lippe), 48153 Münster, Germany
;
4
Medical Advisory Service Institution of the Statutory Health Insurance in North Rhine (MD Nordrhein), 40212 Düsseldorf, Germany
;
5
Federal Joint Committee (G-BA), 10587 Berlin, Germany
Keyword(s):
Medical Quality Assurance, Statutory Health Insurance in Germany, Linear Optimization, Correlations and Partial Correlations.
Abstract:
In recent years, a comprehensive system has been developed both in terms of content and IT for quality assurance in the assessment for the granting of benefits for persons with statutory health insurance by the Medical Advisory Boards, which has also been enshrined in German legislation. In addition to not insignificant formal criteria and criteria relating to specific assessment areas, four criteria relevant to the entire assessment spectrum are evaluated in detail. One- and two-dimensional criteria provide an overview as an introduction to the topic. Similar to the procedure in image processing, linear optimization methods are used to infer relevant intervals of the detailed parameters from row and column totals. Using correlations and partial correlations, the relationship between the central quality criteria is shown. Methods of spherical trigonometry are generalized. For each of the three sides of the quadrilateral of the four central criteria, it is of central importance that t
he partial correlations are greater or smaller than the correlations overall. This is determined by the modulus value, which in the application under consideration produces the same results on all sides of the tetrahedron under consideration.
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