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Identifying nurses' concern concepts about patient deterioration using a standard nursing terminology
Min-Jeoung Kang1, Patricia C Dykes1, Tom Z Korach1
1Division of General Internal Medicine and Primary Care, Brigham & Women's Hospital, Boston, USA; Harvard Medical School, Boston, USA.
International Journal of Medical Informatics
|November 11, 2019
Summary
Nurses
Area of Science:
- Nursing Informatics
- Clinical Data Analysis
Background:
- Nurse concerns in clinical notes predict patient deterioration risk.
- Standardized terminology is needed for automated analysis of these concerns.
Purpose of the Study:
- To identify and define nurse concern concepts related to patient deterioration.
- To develop a lexicon for automated processing of nursing concerns.
Main Methods:
- Subject-matter experts (SMEs) identified and graded Clinical Care Classification (CCC) concepts.
- A fundamental lexicon was built using selected CCC concepts, entities, and seed terms.
Main Results:
- 29 CCC concepts were identified as nurse concerns.
- A lexicon of 111 entities and 586 seed terms was generated.
- Nursing concerns varied by care setting (ICU vs. non-ICU) and unit type (medicine vs. surgery).
Conclusions:
- Clinical Care Classification (CCC) concepts provide a practical, nursing-centric framework for lexicon construction.
- The developed fundamental lexicon enables automated identification and processing of granular nursing concerns for deteriorating patients.
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