Translational Bioinformatics and Clinical Research Informatics

  • C. Daniel
  • E. Albuisson
  • T. Dart
  • P. Avillach
  • M. Cuggia
  • Y. Guo
Part of the Health Informatics book series (HI)


Two new emerging sub-domains in biomedical informatics – translational bioinformatics and clinical research informatics – provide information technology (IT) solutions supporting research – whether basic, clinical or translational research. The aim of the so-called “translational research” is to improve the continuum between research and care and to facilitate personalized medicine. Translational research requires better cooperation between basic research centers, healthcare facilities, clinical research and public health organizations and therefore better integration of information systems of these sectors.

This chapter presents the main characteristics of information systems used in the biomedical research domain and especially focuses on the information technology (IT) infrastructures developed to better integrate clinical care and research activities. The opportunities for the different stakeholders and the main challenges faced while developing such infrastructures are presented. The technical challenges are especially addressed (semantic interoperability, data integration, solutions ensuring data quality, data security and patient privacy, data mining). The potential of EHRs and PHRs to improve patient recruitment, conduct feasibility studies, refine inclusion/exclusion criteria, enhance safety data and, in general, to inform basic and clinical research is addressed. Examples of key national or international information technology (IT) infrastructures dedicated to translational research are shortly described.


Translational bioinformatics Clinical research informatics Biomedical research Clinical research Translational research Epidemiologic study characteristics as topic Evaluation studies as topic Patient selection 


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Copyright information

© Springer-Verlag France 2014

Authors and Affiliations

  • C. Daniel
    • 1
  • E. Albuisson
    • 2
  • T. Dart
    • 3
  • P. Avillach
    • 4
  • M. Cuggia
    • 5
  • Y. Guo
    • 6
  1. 1.Assistance Publique-Hôpitaux de Paris, INSERM UMRS 872 équipe 20CCS Domaine Patient AP-HPParisFrance
  2. 2.Faculté de Médecine de Nancy 9Université de LorraineVandoeuvre-les-Nancy cedexFrance
  3. 3.INSERM UMRS 872 équipe 20 15ParisFrance
  4. 4.INSERM UMRS 872 équipe 22 15ParisFrance
  5. 5.INSERM U936 Faculté de MédecineDIM - CHU PontchaillouRennesFrance
  6. 6.Department of ComputingImperial College LondonLondonUK

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