Follow-up Recommendation Detection on Radiology Reports with Incidental Pulmonary Nodules.
Stud Health Technol Inform
; 216: 1028, 2015.
Article
in En
| MEDLINE
| ID: mdl-26262328
ABSTRACT
The management of follow-up recommendations is fundamental for the appropriate care of patients with incidental pulmonary findings. The lack of communication of these important findings can result in important actionable information being lost in healthcare provider electronic documents. This study aims to analyze follow-up recommendations in radiology reports containing pulmonary incidental findings by using Natural Language Processing and Regular Expressions. Our evaluation highlights the different follow-up recommendation rates for oncology and non-oncology patient cohorts. The results reveal the need for a context-sensitive approach to tracking different patient cohorts in an enterprise-wide assessment.
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Collection:
01-internacional
Database:
MEDLINE
Main subject:
Referral and Consultation
/
Natural Language Processing
/
Radiography, Abdominal
/
Diagnosis, Computer-Assisted
/
Radiology Information Systems
/
Decision Support Systems, Clinical
Type of study:
Diagnostic_studies
/
Prognostic_studies
Limits:
Humans
Country/Region as subject:
America do norte
Language:
En
Journal:
Stud Health Technol Inform
Journal subject:
INFORMATICA MEDICA
/
PESQUISA EM SERVICOS DE SAUDE
Year:
2015
Document type:
Article
Affiliation country:
United States