Measuring performance in health care: case-mix adjustment by boosted decision trees

2004 ◽  
Vol 32 (2) ◽  
pp. 97-113 ◽  
Author(s):  
Anke Neumann ◽  
Josiane Holstein ◽  
Jean-Roger Le Gall ◽  
Eric Lepage
2008 ◽  
Vol 43 (6) ◽  
pp. 2014-2032 ◽  
Author(s):  
Laura L. Eselius ◽  
Paul D. Cleary ◽  
Alan M. Zaslavsky ◽  
Haiden A. Huskamp ◽  
Susan H. Busch

2010 ◽  
Vol 91 (9) ◽  
pp. 1339-1346.e3 ◽  
Author(s):  
Susan E. Palsbo ◽  
Guoqing Diao ◽  
Gregory A. Palsbo ◽  
Liansheng Tang ◽  
William F. Rosenberger ◽  
...  

2012 ◽  
Vol 38 (9) ◽  
pp. 791
Author(s):  
H. Snijders ◽  
D. Henneman ◽  
M. Fiocco ◽  
N.J. Leersum ◽  
R.A.E.M. Tollenaar ◽  
...  

2002 ◽  
Vol 33 (2) ◽  
pp. 99-105 ◽  
Author(s):  
Gerald T. O'Connor ◽  
Hebe B. Quinton ◽  
Richard Kahn ◽  
Priscilla Robichaud ◽  
Joanne Maddock ◽  
...  

1997 ◽  
Vol 10 (3) ◽  
pp. 173-186 ◽  
Author(s):  
R. J. Ozminkowski ◽  
M. Noether ◽  
P. Nathanson ◽  
K. M. Smith ◽  
B. E. Raney ◽  
...  

We developed methods for comparing physicians who would be selected to participate in a major employer's self-insurance program. These methods used insurance claims data to identify and profile physicians according to deviations from prevailing practice and outcome patterns, after considering differences in case-mix and severity of illness among the patients treated by those providers. The discussion notes the usefulness and limitations of claims data for this and other purposes. We also comment on policy implications and the relationships between our methods and health care reform strategies designed to influence overall health care costs.


2001 ◽  
Vol 28 (3) ◽  
pp. 287-300 ◽  
Author(s):  
Teresa L. Kramer ◽  
Richard B. Evans ◽  
Reid Landes ◽  
Michael Mancino ◽  
Brenda M. Booth ◽  
...  

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