Jul 13, 2016

Detecting the presence of an indwelling urinary catheter and urinary symptoms in hospitalized patients using natural language processing

Journal of Biomedical Informatics
Adi V GundlapalliBarbara W Trautner

Abstract

To develop a natural language processing pipeline to extract positively asserted concepts related to the presence of an indwelling urinary catheter in hospitalized patients from the free text of the electronic medical note. The goal is to assist infection preventionists and other healthcare professionals in determining whether a patient has an indwelling urinary catheter when a catheter-associated urinary tract infection is suspected. Currently, data on indwelling urinary catheters is not consistently captured in the electronic medical record in structured format and thus cannot be reliably extracted for clinical and research purposes. We developed a lexicon of terms related to indwelling urinary catheters and urinary symptoms based on domain knowledge, prior experience in the field, and review of medical notes. A reference standard of 1595 randomly selected documents from inpatient admissions was annotated by human reviewers to identify all positively and negatively asserted concepts related to indwelling urinary catheters. We trained a natural language processing pipeline based on the V3NLP framework using 1050 documents and tested on 545 documents to determine agreement with the human reference standard. Metrics reported are...Continue Reading

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References

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Citations

Mentioned in this Paper

Electronic Health Records
Research
Urinary Tract Infection
Ureteral Catheters
Objective (Goal)
Experience
Hospitalized Patients
Urinary Symptoms
Urinary Catheter
Pharmaceutical Preparations

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