Identifying palliative care needs and cardiovascular symptoms in Dutch clinical notes: An evaluation of the text mining application NimbleMiner

Presentation Time: 05:00 PM - 06:30 PM

Abstract Keywords: Natural Language Processing, Information Extraction, Nursing Informatics
Primary Track: Foundations
Programmatic Theme: Clinical Informatics

The early identification of palliative care needs in cardiovascular patients is hindered by an administrative burden of patient identification tools. Natural language processing can be leveraged to extract information indicating palliative care needs from clinical notes in the electronic health record. This study evaluated the clinical text mining application NimbleMiner for the identification of symptoms indicating palliative care needs in Dutch clinical notes. We achieved excellent performance, demonstrating potential for future applications.

Speaker(s):
Chloé Desmedt, Master of Science in Nursing and Midwifery
KU Leuven