Knowledge engineering for health: A new discipline required to bridge the “ICT gap” between research and healthcare

Publication: Research - peer-reviewJournal article – Annual report year: 2012

  • Author: Beck, Tim

    University of Leicester, United Kingdom

  • Author: Gollapudi, Sirisha

    University of Leicester, United Kingdom

  • Author: Brunak, Søren

    CFB - Metagenomic Systems Biology, Novo Nordisk Foundation Center for Biosustainability, Center for Biological Sequence Analysis, Department of Systems Biology, Technical University of Denmark, Denmark

  • Author: Graf, Norbert

    Saarland University, Germany

  • Author: Lemke, Heinz U.

    International Foundation for Computer‐Assisted Radiology and Surgery, Kuessaberg, Germany

  • Author: Dash, Debasis

    GNR Knowledge Center for Genome Informatics, Institute of Genomics and Integrative Biology, Council of Scientific and Industrial Research, Delhi, India

  • Author: Buchan, Iain

    University of Manchester, United Kingdom

  • Author: Díaz, Carlos

    European Projects Management and Coordination Office, Fundació IMIM, Barcelona, Spain

  • Author: Sanz, Ferran

    Research Programme on Biomedical Informatics, IMIM‐Hospital del Mar, Pompeu Fabra University, Spain

  • Author: Brookes, Anthony J.

    University of Leicester, United Kingdom

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Despite vast amount of money and research being channeled toward biomedical research, relatively little impact has been made on routine clinical practice. At the heart of this failure is the information and communication technology “chasm” that exists between research and healthcare. A new focus on “knowledge engineering for health” is needed to facilitate knowledge transmission across the research–healthcare gap. This discipline is required to engineer the bidirectional flow of data: processing research data and knowledge to identify clinically relevant advances and delivering these into healthcare use; conversely, making outcomes from the practice of medicine suitably available for use by the research community. This system will be able to self‐optimize in that outcomes for patients treated by decisions that were based on the latest research knowledge will be fed back to the research world. A series of meetings, culminating in the “I‐Health 2011” workshop, have brought together interdisciplinary experts to map the challenges and requirements for such a system. Here, we describe the main conclusions from these meetings. An “I4Health” interdisciplinary network of experts now exists to promote the key aims and objectives, namely “integrating and interpreting information for individualized healthcare,” by developing the “knowledge engineering for health” domain. Hum Mutat 33:797–802, 2012. © 2012 Wiley Periodicals, Inc.
Original languageEnglish
JournalHuman Mutation
Publication date2012
CitationsWeb of Science® Times Cited: 9
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ID: 9657516