Evaluation of an automated knowledge-based textual summarization system for longitudinal clinical data, in the intensive care domain.

Journal: Artificial intelligence in medicine
Published Date: Oct 1, 2017

Abstract

OBJECTIVES: To examine the feasibility of the automated creation of meaningful free-text summaries of longitudinal clinical records, using a new general methodology that we had recently developed; and to assess the potential benefits to the clinical decision-making process of using such a method to generate draft letters that can be further manually enhanced by clinicians.

Authors

  • Ayelet Goldstein
    Medical Informatics Research Center, Department of Information Systems Engineering, Ben Gurion University of the Negev, Beer Sheva, Israel.
  • Yuval Shahar
    Medical Informatics Research Center, Department of Information Systems Engineering, Ben Gurion University of the Negev, Beer Sheva, Israel.
  • Efrat Orenbuch
    Hadassah Medical Center, Jerusalem, Israel.
  • Matan J Cohen
    Clalit Health Services, affiliated with the Hebrew University School of Medicine, Jerusalem, Israel.

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