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Evolution and Revolution in Knowledge-Driven Health IT: A 50-Year Perspective and a Look Ahead

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Knowledge Representation for Health Care (AIME 2015)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9485))

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Abstract

In this keynote presentation, my intent is to explore the evolution of the field of computer-based clinical decision support (CDS) – and its associated tasks of knowledge acquisition, knowledge modeling, knowledge representation, knowledge management, and knowledge integration into care processes – over the past five decades. I believe that we are now in a period of significant disruption – both in the health care system itself and in the technology to support it. As a result of these disruptors, I am convinced that we will need to not only continue the efforts that have proved useful in the past but also to develop some new strategies to meet the new challenges.

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Author information

Authors and Affiliations

  1. Arizona State University and Mayo Clinic, Scottsdale, AZ, USA

    Robert A. Greenes

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  1. Robert A. Greenes
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Correspondence to Robert A. Greenes .

Editor information

Editors and Affiliations

  1. Universitat Rovira i Virgili, Tarragona, Spain

    David Riaño

  2. University of Erlangen and Nuremberg, Erlangen, Bayern, Germany

    Richard Lenz

  3. Vienna University of Technology, Vienna, Austria

    Silvia Miksch

  4. University of Haifa, Haifa, Israel

    Mor Peleg

  5. Ulm University, Ulm, Germany

    Manfred Reichert

  6. Vrije Universiteit Amsterdam, Amsterdam, Noord-Holland, The Netherlands

    Annette ten Teije

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Greenes, R.A. (2015). Evolution and Revolution in Knowledge-Driven Health IT: A 50-Year Perspective and a Look Ahead. In: Riaño, D., Lenz, R., Miksch, S., Peleg, M., Reichert, M., ten Teije, A. (eds) Knowledge Representation for Health Care. AIME 2015. Lecture Notes in Computer Science(), vol 9485. Springer, Cham. https://doi.org/10.1007/978-3-319-26585-8_1

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  • DOI: https://doi.org/10.1007/978-3-319-26585-8_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-26584-1

  • Online ISBN: 978-3-319-26585-8

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