Extracting Information from Textual Documents in the Electronic Health Record: A Review of Recent Research

Savova, Guergana; Kipper-Schuler, Karin; Hurdle, John F.; Meystre, S. M.

doi:10.1055/s-0038-1638592

reviewYearbook of Medical InformaticsAug 1, 2008BRONZE OA

Extracting Information from Textual Documents in the Electronic Health Record: A Review of Recent Research

GSGuergana Savova KKKarin Kipper-Schuler JFJohn F. HurdleSMS. M. Meystre

Mayo Clinic · University of Utah

PubMed

Indexed incrossrefpubmed

Abstract

Objectives

We examine recent published research on the extraction of information from textual documents in the Electronic Health Record (EHR).

Methods

Literature review of the research published after 1995, based on PubMed, conference proceedings, and the ACM Digital Library, as well as on relevant publications referenced in papers already included.

Citation impact

895

total citations

FWCI: 13.62
Percentile: 100%
References: 179

Citations per year

Authors

4

GS
Guergana SavovaCorresponding
Mayo Clinic, University of Utah
KK
Karin Kipper-Schuler
Mayo Clinic, University of Utah
JF
John F. Hurdle
University of Utah
SM
S. M. Meystre
University of Utah

Topics & keywords

Topics

Keywords

Terminology
Computer science
Information extraction
Identification (biology)
Biomedical text mining
Field (mathematics)
Information retrieval
Digital library

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