Improving data and knowledge management to better integrate healthcare and research

M. Cases, L. I. Furlong, J. Albanell, R. B. Altman, R. Bellazzi, S. Boyer, A. Brand, A. J. Brookes, S. Brunak, T. W. Clark, J. Gea, P. Ghazal, N. Graf, R. Guigo, T. E. Klein, N. Lopez-Bigas, V. Maojo, B. Mons, M. Musen, J. L. OliveiraA. Rowe, P. Ruch, A. Shabo, E. H. Shortliffe, A. Valencia, J. van der Lei, M. A. Mayer, F. Sanz*

*Corresponding author for this work

Research output: Contribution to journalEditorialpeer-review

Abstract / Description of output

"Once upon a time, several engineers, biologists and clinicians realized that a lot of information in biomedicine was partitioned into 'silos' that do not intercommunicate. These silos were a side effect of the existence of different disciplines required to, for example, develop new drugs. The engineers decided to dispose of the silos, and to put the information in axiomatic form to facilitate automatic reasoning over multiple data sources. They also decided to do this in a very open way so that effort was not duplicated. This seemed to be a very reasonable step and was welcomed by all. This article is protected by copyright. All rights reserved.
Original languageEnglish
Pages (from-to)321–328
Number of pages8
JournalJournal of Internal Medicine
Volume274
Issue number4
DOIs
Publication statusPublished - Oct 2013

Keywords / Materials (for Non-textual outputs)

  • TRANSLATIONAL RESEARCH
  • DRUG-INTERACTIONS
  • SEMANTIC-WEB
  • MEDICINE
  • FRAMEWORK

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