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Methods Inf Med 2008; 47(04): 283-295
DOI: 10.3414/ME9117
Original Article
Schattauer GmbH

Informatics and Medicine

From Molecules to Populations
K. A. Kuhn
1   Technische Universität München, Munich, Germany*
,
A. Knoll
1   Technische Universität München, Munich, Germany*
,
H.-W. Mewes
1   Technische Universität München, Munich, Germany*
,
M. Schwaiger
1   Technische Universität München, Munich, Germany*
,
A. Bode
1   Technische Universität München, Munich, Germany*
,
M. Broy
1   Technische Universität München, Munich, Germany*
,
H. Daniel
1   Technische Universität München, Munich, Germany*
,
H. Feussner
1   Technische Universität München, Munich, Germany*
,
R. Gradinger
1   Technische Universität München, Munich, Germany*
,
H. Hauner
1   Technische Universität München, Munich, Germany*
,
H. Höfler
1   Technische Universität München, Munich, Germany*
,
B. Holzmann
1   Technische Universität München, Munich, Germany*
,
A. Horsch
1   Technische Universität München, Munich, Germany*
,
A. Kemper
1   Technische Universität München, Munich, Germany*
,
H. Krcmar
1   Technische Universität München, Munich, Germany*
,
E. F. Kochs
1   Technische Universität München, Munich, Germany*
,
R. Lange
1   Technische Universität München, Munich, Germany*
,
R. Leidl
2   Ludwig-Maximilians-Universität, Munich, Germany*
,
U. Mansmann
2   Ludwig-Maximilians-Universität, Munich, Germany*
,
E. W. Mayr
2   Ludwig-Maximilians-Universität, Munich, Germany*
,
T. Meitinger
1   Technische Universität München, Munich, Germany*
,
M. Molls
1   Technische Universität München, Munich, Germany*
,
N. Navab
1   Technische Universität München, Munich, Germany*
,
F. Nüsslin
1   Technische Universität München, Munich, Germany*
,
C. Peschel
1   Technische Universität München, Munich, Germany*
,
M. Reiser
2   Ludwig-Maximilians-Universität, Munich, Germany*
,
J. Ring
1   Technische Universität München, Munich, Germany*
,
E. J. Rummeny
1   Technische Universität München, Munich, Germany*
,
J. Schlichter
1   Technische Universität München, Munich, Germany*
,
R. Schmid
1   Technische Universität München, Munich, Germany*
,
H. E. Wichmann
2   Ludwig-Maximilians-Universität, Munich, Germany*
,
S. Ziegler
1   Technische Universität München, Munich, Germany*
› Author Affiliations
Further Information

Publication History

Publication Date:
18 January 2018 (online)

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Summary

Objectives: To clarify challenges and research topics for informatics in health and to describe new approaches for interdisciplinary collaboration and education. Methods: Research challenges and possible solutions were elaborated by scientists of two universities using an interdisciplinary approach, in a series of meetings over several months. Results and Conclusion: In order to translate scientific results from bench to bedside and further into an evidence-based and efficient health system, intensive collaboration is needed between experts from medicine, biology, informatics, engineering, public health, as well as social and economic sciences. Research challenges can be attributed to four areas: bioinformatics and systems biology, biomedical engineering and informatics, health informatics and individual healthcare, and public health informatics. In order to bridge existing gaps between different disciplines and cultures, we suggest focusing on interdisciplinary education, taking an integrative approach and starting interdisciplinary practice at early stages of education.

* See more detailed authors´ affiliations at the end of the article.

Keywords

Informatics - bioinformatics - health informatics - biomedical engineering - biomedical informatics - public health
 

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