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Stud Health Technol Inform. 2019 Aug 21;264:1546-1547. doi: 10.3233/SHTI190527.

Understanding Urgency in Radiology Reporting: Identifying Associations Between Clinical Findings in Radiology Reports and Their Prompt Communication to Referring Physicians.

Author information

1
Department of Computer Science, Dartmouth College, Hanover, New Hampshire, USA.
2
Department of Psychiatry, Dartmouth-Hitchcock Medical Center, Lebanon, New Hampshire, USA.
3
Department of Biomedical Data Science, Dartmouth College, Hanover, New Hampshire, USA.
4
Department of Radiology, Dartmouth-Hitchcock Medical Center, Lebanon, New Hampshire, USA.
5
Department of Epidemiology, Dartmouth College, Hanover, New Hampshire, USA.

Abstract

In this study, we aim to develop an automatic pipeline to identify clinical findings in the unstructured text of radiology reports that necessitate communications between radiologists and referring physicians. Our approach identified 20 distinct clinical concepts and highlighted statistically significant concepts with strong associations to cases that require prompt communication.

KEYWORDS:

Natural language processing; communication; radiology

PMID:
31438224
DOI:
10.3233/SHTI190527
[Indexed for MEDLINE]

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