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TN-TIES: A system for extracting temporal information from emergency department triage notes
Ann K Irvine1, Stephanie W Haas, Tessa Sullivan
1University of North Carolina, Chapel Hill, NC, USA.
We developed the Triage Note Temporal Information Extraction System (TN-TIES) to interpret emergency department (ED) patient record timings. This system processes notes to create event timelines, aiding clinical understanding and public health insights.
Area of Science:
- Medical Informatics
- Natural Language Processing
- Emergency Medicine
Background:
- Emergency Department (ED) patient records contain crucial information about the reason for visits.
- Triage notes specifically detail patient symptoms and incidents leading to the ED visit.
- Extracting temporal information from these notes is challenging but valuable.
Purpose of the Study:
- To present the Triage Note Temporal Information Extraction System (TN-TIES).
- To systematically process ED triage note text for temporal event interpretation.
- To create a human and machine-readable timeline of pre-visit events.
Main Methods:
- The TN-TIES system employs a multi-stage approach.
- Includes chunking, classification, and interpretation processing stages.
- Processes unstructured text in ED triage notes.
Main Results:
- The system demonstrated promising results at each processing stage.
- Successfully extracts and interprets temporal information from triage notes.
- Provides a foundation for visualizing patient event timelines.
Conclusions:
- TN-TIES is a significant first step towards comprehensive event timeline presentation.
- The system can aid clinicians and public health officials in data interpretation.
- Enables better understanding and visualization of patient histories prior to ED visits.
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