An evolutionary approach to the annotation of discharge summaries

Abstract:

We here describe the evolution of annotation guidelines for major clinical named entities, namely Diagnosis, Findings and Symptoms, on a corpus of approximately 1,000 German discharge letters. Due to their intrinsic opaqueness and complexity, clinical annotation tasks require continuous guideline tuning, beginning from the initial definition of crucial entities and the subsequent iterative evolution of guidelines based on empirical evidence. We describe rationales for adaptation, with focus on several metrical criteria and task-centered clinical constraints.

Projects: SMITH - Smart Medical Information Technology for Healthcare

Publication type: Journal article

Journal: Stud. Health Technol. Inform.

Human Diseases: No Human Disease specified

Citation: Stud. Health Technol. Inform. 270:28–32

Date Published: 1st Jun 2020

Registered Mode: imported from a bibtex file

Authors: Christina Lohr, Luise Modersohn, Johannes Hellrich, Tobias Kolditz, Udo Hahn

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Created: 24th Feb 2023 at 17:05

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