Training health professionals in bioinformatics. Experiences and lessons learned. Academic Article uri icon



  • Humans
  • Internet
  • Medical Informatics

MeSH Major

  • Computational Biology
  • Health Personnel


  • Genomic technologies and particularly bioinformatics have significantly changed biomedical research along the last decade and are being recognized as potential methods for application also in medical practice and public health. There exists a growing need for different collectives of the healthcare sector to receive training in the methods, tools and databases related with these new areas. This paper describes the teaching experience of our department during the last ten years and analyzes past activities designed for teaching bioinformatics to different groups of health professionals. We aim to illustrate the main lessons learned and offer useful clues to other groups interested in setting up training initiatives in bioinformatics for health professionals. The group selected several methodologies for the training activities ("face-to-face", online/e-learning) on the basis of three criteria: 1) the target collective, 2) the contents of the course, and 3) its length. Courses were evaluated and the results are hereby presented and discussed. National and international training courses on bioinformatics, biomedical informatics and genomics were developed according to specific requirements defined by the profile of each of the targeted health professional group. These activities provided the students with the necessary skills for better understanding the use of bioinformatics tools and databases and the appropriate way of applying them into specific health domains. The increasing demand of training courses in new technologies related to genomics and bioinformatics by health professionals provides a good opportunity for the development of tailored courses based on their specific needs, expectations and demands geared to bridge the gap between research and practice and facilitating their everyday work.

publication date

  • 2010

has subject area

  • Computational Biology
  • Health Personnel
  • Humans
  • Internet
  • Medical Informatics



  • Journal Article



  • eng

Digital Object Identifier (DOI)

  • 10.3414/ME09-02-0008

PubMed ID

  • 20405087

Additional Document Info

start page

  • 299

end page

  • 304


  • 49


  • 3