Identifying Symptom Information in Clinical Notes Using Natural Language Processing

• Published in: Nursing research (New York) Vol. 70; no. 3; p. 173
• Main Authors: Koleck, Theresa A, Tatonetti, Nicholas P, Bakken, Suzanne, Mitha, Shazia, Henderson, Morgan M, George, Maureen, Miaskowski, Christine, Smaldone, Arlene, Topaz, Maxim
• Format: Journal Article
• Language: English
• Published: United States 01.05.2021
• Subjects: Constipation - diagnosis; Depression - diagnosis; Electronic Health Records - statistics & numerical data; Fatigue - diagnosis; Humans; Natural Language Processing; Pattern Recognition, Automated - methods; Sleep Wake Disorders - diagnosis; Symptom Assessment - nursing; Tachycardia - diagnosis; Vocabulary, Controlled

Symptoms are a core concept of nursing interest. Large-scale secondary data reuse of notes in electronic health records (EHRs) has the potential to increase the quantity and quality of symptom research. However, the symptom language used in clinical notes is complex. A need exists for methods design...