Prevalence of Sensitive Terms in Clinical Notes Using Natural Language Processing Techniques: Observational Study
JMIR Medical Informatics2022Vol. 10(6), pp. e38482–e38482
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Jennifer Lee, Samuel Yang, Cynthia Holland-Hall, Emre Sezgın, Manjot K. Gill, Simon Lin Linwood, Yungui Huang, Jeffrey Hoffman
Abstract
Notes containing sensitive terms are not limited to adolescent patients, specific note types, or certain specialties. Recognition of sensitive terms across all ages and clinical settings complicates efforts to protect patient and caregiver privacy in the era of information-blocking regulations.
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