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IEEE VisWeek Workshop on Visual Analytics in Health Care 2010

Published: 01 March 2011 Publication History

Abstract

Around the world, tremendous sums of money and time are being spent modernizing the health care ecosystem to improve outcomes and reduce cost. One of the critical hypotheses behind many of these efforts is that the collection of electronic data, such as longitudinal electronic health records (EHRs), will enable tools that provide actionable insights about a patient's condition required to make more intelligent medical decisions. This data-driven vision promises to improve care in facilities ranging from emergency rooms to general practitioner offices.

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  • (2016)A detailed study on temporal data visualization techniques in electronic health records2016 Sixth International Conference on Innovative Computing Technology (INTECH)10.1109/INTECH.2016.7845074(638-643)Online publication date: Aug-2016

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  1. IEEE VisWeek Workshop on Visual Analytics in Health Care 2010

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      cover image ACM SIGHIT Record
      ACM SIGHIT Record  Volume 1, Issue 1
      March 2011
      37 pages
      EISSN:2158-8813
      DOI:10.1145/1971706
      Issue’s Table of Contents
      Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      Published: 01 March 2011
      Published in SIGHIT Volume 1, Issue 1

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      Cited By

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      • (2016)A detailed study on temporal data visualization techniques in electronic health records2016 Sixth International Conference on Innovative Computing Technology (INTECH)10.1109/INTECH.2016.7845074(638-643)Online publication date: Aug-2016

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