Literature DB >> 14643721

Using nurses' natural language entries to build a concept-oriented terminology for patients' chief complaints in the emergency department.

Debbie A Travers1, Stephanie W Haas.   

Abstract

Information about the chief complaint (CC), also known as the patient's reason for seeking emergency care, is critical for patient prioritization for treatment and determination of patient flow through the emergency department (ED). Triage nurses document the CC at the start of the ED visit, and the data are increasingly available in electronic form. Despite the clinical and operational significance of the CC to the ED, there is no standard CC terminology. We propose the construction of concept-oriented nursing terminologies from the actual language used by experts. We use text analysis to extract CC concepts from triage nurses' natural language entries. Our methodology for building the nursing terminology utilizes natural language processing techniques and the Unified Medical Language System.

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Mesh:

Year:  2003        PMID: 14643721     DOI: 10.1016/j.jbi.2003.09.007

Source DB:  PubMed          Journal:  J Biomed Inform        ISSN: 1532-0464            Impact factor:   6.317


  8 in total

1.  Automating the assignment of diagnosis codes to patient encounters using example-based and machine learning techniques.

Authors:  Serguei V S Pakhomov; James D Buntrock; Christopher G Chute
Journal:  J Am Med Inform Assoc       Date:  2006-06-23       Impact factor: 4.497

2.  Evaluation of a chief complaint pre-processor for biosurveillance.

Authors:  Debbie Travers; Shiying Wu; Matthew Scholer; Matt Westlake; Anna Waller; Anne-Lyne McCalla
Journal:  AMIA Annu Symp Proc       Date:  2007-10-11

3.  Mapping cancer patients' symptoms to UMLS concepts.

Authors:  Laura Slaughter; Cornelia Ruland; Ann Kristin Rotegård
Journal:  AMIA Annu Symp Proc       Date:  2005

4.  TN-TIES: A system for extracting temporal information from emergency department triage notes.

Authors:  Ann K Irvine; Stephanie W Haas; Tessa Sullivan
Journal:  AMIA Annu Symp Proc       Date:  2008-11-06

5.  Emergency Medical Text Classifier: New system improves processing and classification of triage notes.

Authors:  Stephanie W Haas; Debbie Travers; Anna Waller; Deepika Mahalingam; John Crouch; Todd A Schwartz; Javed Mostafa
Journal:  Online J Public Health Inform       Date:  2014-10-16

6.  Multilingual chief complaint classification for syndromic surveillance: an experiment with Chinese chief complaints.

Authors:  Hsin-Min Lu; Hsinchun Chen; Daniel Zeng; Chwan-Chuen King; Fuh-Yuan Shih; Tsung-Shu Wu; Jin-Yi Hsiao
Journal:  Int J Med Inform       Date:  2008-10-05       Impact factor: 4.046

7.  Validation of a Natural Language Processing Algorithm for Detecting Infectious Disease Symptoms in Primary Care Electronic Medical Records in Singapore.

Authors:  Antony Hardjojo; Arunan Gunachandran; Long Pang; Mohammed Ridzwan Bin Abdullah; Win Wah; Joash Wen Chen Chong; Ee Hui Goh; Sok Huang Teo; Gilbert Lim; Mong Li Lee; Wynne Hsu; Vernon Lee; Mark I-Cheng Chen; Franco Wong; Jonathan Siung King Phang
Journal:  JMIR Med Inform       Date:  2018-06-11

8.  Fever detection from free-text clinical records for biosurveillance.

Authors:  Wendy W Chapman; John N Dowling; Michael M Wagner
Journal:  J Biomed Inform       Date:  2004-04       Impact factor: 6.317

  8 in total

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