Published on in Vol 10, No 6 (2022): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/38482, first published .
Prevalence of Sensitive Terms in Clinical Notes Using Natural Language Processing Techniques: Observational Study

Prevalence of Sensitive Terms in Clinical Notes Using Natural Language Processing Techniques: Observational Study

Prevalence of Sensitive Terms in Clinical Notes Using Natural Language Processing Techniques: Observational Study

Journals

  1. Sisk B, Antes A, Bereitschaft C, Enloe M, Bourgeois F, DuBois J. Challenges to Developing and Implementing Policies for Adolescent Online Portal Access. Pediatrics 2023;151(6) View
  2. Rabbani N, Bedgood M, Brown C, Steinberg E, Goldstein R, Carlson J, Pageler N, Morse K. A Natural Language Processing Model to Identify Confidential Content in Adolescent Clinical Notes. Applied Clinical Informatics 2023;14(03):400 View
  3. Sinha S, Bedgood M, Puttagunta R, Kataria A, Bourgeois F, Lee J, Vodzak J, Hall E, Levy B, Vawdrey D. Variation in pediatric and adolescent electronic health data sharing practices under the 21st Century Cures Act. Journal of the American Medical Informatics Association 2023;30(12):2021 View
  4. Sisk B, Antes A, Bereitschaft C, Enloe M, Lin S, Srinivas M, Bourgeois F, DuBois J. Engaging Adolescents in Using Online Patient Portals. JAMA Network Open 2023;6(8):e2330483 View
  5. Sisk B, Antes A, Bereitschaft C, Bourgeois F, DuBois J. Providing Adolescents with Access to Online Patient Portals: Interviews with Parent-Adolescent Dyads. The Journal of Pediatrics 2024;270:114015 View
  6. Sisk B, Antes A, Bereitschaft C, Enloe M, Bourgeois F, DuBois J. Guiding Principles for Adolescent Web-Based Portal Access Policies: Interviews With Informatics Administrators. JMIR Pediatrics and Parenting 2024;7:e49177 View