CliniViewer: A tool for viewing electronic medical records based on natural language processing and XML

Hongfang D Liu, Carol Friedman

Research output: Chapter in Book/Report/Conference proceedingChapter

7 Citations (Scopus)

Abstract

With the evolving use of computers in healthcare, the electronic medical record (EMR) is becoming more and more popular. A tool is needed that would enable physicians to accurately and efficiently access clinical information in multiple medical records associated with a particular patient. Both natural language processing (NLP) and the eXtensible Markup Language (XML) have been used in the clinical domain for capturing, representing, and utilizing clinical information and both have shown great potential. In this paper, we demonstrate another use of XML and NLP through CliniViewer, a tool that organizes and presents the clinical information in multiple records. We also describe the flexibility and capability provided when combining XML and NLP to summarize, navigate, and conceptualize structured information. The tool has been fully implemented and tested using patients with multiple discharge summaries.

Original languageEnglish (US)
Title of host publicationStudies in Health Technology and Informatics
Pages639-643
Number of pages5
Volume107
DOIs
StatePublished - 2004
Externally publishedYes

Fingerprint

Natural Language Processing
Electronic medical equipment
Electronic Health Records
XML
Processing
Medical Records
Language
Delivery of Health Care
Physicians

Keywords

  • Electronic Medical Record
  • Natural Language Processing
  • Summarization
  • XML

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management

Cite this

CliniViewer : A tool for viewing electronic medical records based on natural language processing and XML. / Liu, Hongfang D; Friedman, Carol.

Studies in Health Technology and Informatics. Vol. 107 2004. p. 639-643.

Research output: Chapter in Book/Report/Conference proceedingChapter

Liu, Hongfang D ; Friedman, Carol. / CliniViewer : A tool for viewing electronic medical records based on natural language processing and XML. Studies in Health Technology and Informatics. Vol. 107 2004. pp. 639-643
@inbook{058d544523244c84b97631aff96e87dc,
title = "CliniViewer: A tool for viewing electronic medical records based on natural language processing and XML",
abstract = "With the evolving use of computers in healthcare, the electronic medical record (EMR) is becoming more and more popular. A tool is needed that would enable physicians to accurately and efficiently access clinical information in multiple medical records associated with a particular patient. Both natural language processing (NLP) and the eXtensible Markup Language (XML) have been used in the clinical domain for capturing, representing, and utilizing clinical information and both have shown great potential. In this paper, we demonstrate another use of XML and NLP through CliniViewer, a tool that organizes and presents the clinical information in multiple records. We also describe the flexibility and capability provided when combining XML and NLP to summarize, navigate, and conceptualize structured information. The tool has been fully implemented and tested using patients with multiple discharge summaries.",
keywords = "Electronic Medical Record, Natural Language Processing, Summarization, XML",
author = "Liu, {Hongfang D} and Carol Friedman",
year = "2004",
doi = "10.3233/978-1-60750-949-3-639",
language = "English (US)",
volume = "107",
pages = "639--643",
booktitle = "Studies in Health Technology and Informatics",

}

TY - CHAP

T1 - CliniViewer

T2 - A tool for viewing electronic medical records based on natural language processing and XML

AU - Liu, Hongfang D

AU - Friedman, Carol

PY - 2004

Y1 - 2004

N2 - With the evolving use of computers in healthcare, the electronic medical record (EMR) is becoming more and more popular. A tool is needed that would enable physicians to accurately and efficiently access clinical information in multiple medical records associated with a particular patient. Both natural language processing (NLP) and the eXtensible Markup Language (XML) have been used in the clinical domain for capturing, representing, and utilizing clinical information and both have shown great potential. In this paper, we demonstrate another use of XML and NLP through CliniViewer, a tool that organizes and presents the clinical information in multiple records. We also describe the flexibility and capability provided when combining XML and NLP to summarize, navigate, and conceptualize structured information. The tool has been fully implemented and tested using patients with multiple discharge summaries.

AB - With the evolving use of computers in healthcare, the electronic medical record (EMR) is becoming more and more popular. A tool is needed that would enable physicians to accurately and efficiently access clinical information in multiple medical records associated with a particular patient. Both natural language processing (NLP) and the eXtensible Markup Language (XML) have been used in the clinical domain for capturing, representing, and utilizing clinical information and both have shown great potential. In this paper, we demonstrate another use of XML and NLP through CliniViewer, a tool that organizes and presents the clinical information in multiple records. We also describe the flexibility and capability provided when combining XML and NLP to summarize, navigate, and conceptualize structured information. The tool has been fully implemented and tested using patients with multiple discharge summaries.

KW - Electronic Medical Record

KW - Natural Language Processing

KW - Summarization

KW - XML

UR - http://www.scopus.com/inward/record.url?scp=84857778928&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84857778928&partnerID=8YFLogxK

U2 - 10.3233/978-1-60750-949-3-639

DO - 10.3233/978-1-60750-949-3-639

M3 - Chapter

C2 - 15360891

AN - SCOPUS:84857778928

VL - 107

SP - 639

EP - 643

BT - Studies in Health Technology and Informatics

ER -