Are we talking about the same patient?

Khawllah Roussi; Vanessa Soussa; Karen Dunn Lopez; Abhinaya Balasubramanian; Gail M Keenan; Michel Burton; Neil Bahroos; Barbara DiEugenio; Andrew D Boyd

doi:10.3233/978-1-61499-564-7-1059

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Book chapter

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Peer reviewed

Are we talking about the same patient?

Khawllah Roussi, Vanessa Soussa, Karen Dunn Lopez, Abhinaya Balasubramanian, Gail M Keenan, Michel Burton, Neil Bahroos, Barbara DiEugenio and Andrew D Boyd

MEDINFO 2015 : eHealth-enabled health : proceedings of the 15th World Congress on Health and Biomedical Informatics, pp.1059-1059

Studies in health technology and informatics, v. 216, IOS Press

2015

DOI: 10.3233/978-1-61499-564-7-1059

PMID: 26262358

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Abstract

The objective of this study is to determine the degree of similarities between the clinical terms used by physicians and nurses in their documentation.

Semantics

United States

Electronic Health Records - classification

Electronic Health Records - utilization

Natural Language Processing

Nurses - statistics & numerical data

Nursing Records - classification

Nursing Records - statistics & numerical data

Patient Discharge Summaries - classification

Patient Discharge Summaries - statistics & numerical data

Physicians - statistics & numerical data

Standardized Nursing Terminology

Terminology as Topic

Unified Medical Language System

Details

Title: Subtitle: Are we talking about the same patient?
Creators: Khawllah Roussi - University of Illinois Chicago
Vanessa Soussa - Department of Health System Science, UIC
Karen Dunn Lopez - Department of Health System Science, UIC
Abhinaya Balasubramanian - Department of Computer Science, UIC
Gail M Keenan - Department of Health Care Environments and Systems, University of Florida, Gainesville, FL, USA
Michel Burton - Department of Medicine, UIC
Neil Bahroos - Department of Medicine, UIC
Barbara DiEugenio - Department of Computer Science, UIC
Andrew D Boyd - University of Illinois Chicago
Resource Type: Book chapter
Publication Details: MEDINFO 2015 : eHealth-enabled health : proceedings of the 15th World Congress on Health and Biomedical Informatics, pp.1059-1059
Series: Studies in health technology and informatics; v. 216
DOI: 10.3233/978-1-61499-564-7-1059
PMID: 26262358
NLM abbreviation: Stud Health Technol Inform
ISSN: 0926-9630
eISSN: 1879-8365
Publisher: IOS Press; Amsterdam
Language: English
Date published: 2015
Academic Unit: Nursing
Record Identifier: 9984370738302771

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