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- Title
Natural language processing of lifestyle modification documentation.
- Authors
Shoenbill, Kimberly; Song, Yiqiang; Gress, Lisa; Johnson, Heather; Smith, Maureen; Mendonca, Eneida A
- Abstract
Lifestyle modification, including diet, exercise, and tobacco cessation, is the first-line treatment of many disorders including hypertension, obesity, and diabetes. Lifestyle modification data are not easily retrieved or used in research due to their textual nature. This study addresses this knowledge gap using natural language processing to automatically identify lifestyle modification documentation from electronic health records. Electronic health record notes from hypertension patients were analyzed using an open-source natural language processing tool to retrieve assessment and advice regarding lifestyle modification. These data were classified as lifestyle modification assessment or advice and mapped to a coded standard ontology. Combined lifestyle modification (advice and assessment) recall was 99.27 percent, precision 94.44 percent, and correct classification 88.15 percent. Through extraction and transformation of narrative lifestyle modification data to coded data, this critical information can be used in research, metric development, and quality improvement efforts regarding care delivery for multiple medical conditions that benefit from lifestyle modification.
- Subjects
BEHAVIOR modification; COMPUTER software; DOCUMENTATION; HEALTH behavior; MEDICAL care; MEMORY; NATURAL language processing; QUALITY assurance; RESEARCH funding; EMPIRICAL research; HEALTH literacy; ELECTRONIC health records; DESCRIPTIVE statistics
- Publication
Health Informatics Journal, 2020, Vol 26, Issue 1, p388
- ISSN
1460-4582
- Publication type
Article
- DOI
10.1177/1460458218824742