Methods Inf Med 2015; 54(05): 385-387
DOI: 10.3414/ME15-05-1001
Editorial
Schattauer GmbH

Good Medicine and Good Health-care Demand Good Information (Systems)

A. Winter
1   Leipzig University, Institute for Medical Informatics, Statistics and Epidemiology, Leipzig, Germany, Editor in Chief of MIBE
,
R. -D. Hilgers
2   RWTH Aachen University, Institute for Medical Statistics, Aachen, Germany, Editor of MIBE
,
R. Hofestädt
3   Bielefeld University, Bioinformatics Department, Bielefeld, Germany, Editor of MIBE
,
U. Hübner
4   Osnabrück University of Applied Sciences, Faculty of Business Management and Social Sciences, Osnabrück, Germany
,
P. Knaup-Gregori
5   Heidelberg University, Institute for Medical Biometry and Informatics, Heidelberg, Germany, Editor of MIBE
,
C. Ose
6   Duisburg-Essen University, Faculty of Medicine, Centre for Clinical Trials, Essen, Germany, Editor of MIBE
,
C. Schmoor
7   Freiburg University, Faculty of Medicine, Centre for Clinical Trials, Freiburg, Germany
,
A. Timmer
8   Carl von Ossietzky University of Oldenburg, Department for Epidemiology and Biometry Oldenburg, Germany, Editor of MIBE
,
D. Wege
9   Medical Service of Public Health Insurances Lower Saxony, Hannover, Germany
› Author Affiliations
Further Information

Publication History

17 September 2015

Publication Date:
22 January 2018 (online)

Summary

The demand for evidence-based health informatics and benchmarking of ‘good’ information systems in health care gives an opportunity to continue reporting on recent papers in the German journal GMS Medical Informatics, Biometry and Epidemiology (MIBE) here. The publications in focus deal with a comparison of benchmarking initiatives in German-speaking countries, use of communication standards in telemonitoring scenarios, the estimation of national cancer incidence rates and modifications of parametric tests. Furthermore papers in this issue of MIM are introduced which originally have been presented at the Annual Conference of the German Society of Medical Informatics, Biometry and Epidemiology. They deal as well with evidence and evaluation of ‘good’ information systems but also with data harmonization, surveillance in obstetrics, adaptive designs and parametrical testing in statistical analysis, patient registries and signal processing.

 
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