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A temporal constraint structure for extracting temporal information from clinical narrative.

Li Zhou¹, Genevieve B Melton, Simon Parsons

¹Department of Biomedical Informatics, Columbia University, 622 West 168th Street, VC5, New York, NY 10032, USA.

Journal of Biomedical Informatics

|September 20, 2005

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This study introduces a temporal constraint structure to effectively model temporal expressions in clinical discharge summaries, achieving 97% coverage and supporting advanced medical reasoning.

Area of Science:

Medical Informatics
Natural Language Processing
Clinical Data Modeling

Background:

Temporal reasoning is crucial for medical data analysis.
Constraint-based approaches are common for temporal reasoning.
Electronic discharge summaries present unique temporal challenges.

Purpose of the Study:

To categorize temporal expressions in clinical narrative text.
To propose and evaluate a temporal constraint structure for modeling temporal information.
To support higher-level temporal reasoning in clinical data.

Main Methods:

Grounded approach using 200 discharge summaries to develop a representation structure.
Analysis of 100 summaries to tally temporal expression categories and model coverage.

Related Experiment Videos

Inter-coder agreement assessment on 50 temporal expressions.

Main Results:

Identified six main categories of temporal expressions.
Developed a temporal constraint structure modeling event start/end times, anchors, relations, and vagueness.
Successfully modeled 97% of temporal expressions in 100 discharge summaries with high inter-coder agreement (90% exact match).

Conclusions:

The proposed temporal constraint structure effectively encodes diverse temporal information in discharge summaries.
This structure provides a foundation for advanced temporal reasoning in clinical data.
Implementation supports further post-processing for simple temporal problems (STP).