Evaluation of a Large Language Model to Identify Confidential Content in Adolescent Encounter Notes-Reference-Cited by-同舟云学术

Evaluation of a Large Language Model to Identify Confidential Content in Adolescent Encounter Notes

Published:2024-03-01 Issue:3 Volume:178 Page:308
ISSN:2168-6203
Container-title:JAMA Pediatrics
language:en
Short-container-title:JAMA Pediatr

Author:

Rabbani Naveed¹,Brown Conner²,Bedgood Michael³,Goldstein Rachel L.¹,Carlson Jennifer L.¹,Pageler Natalie M.¹,Morse Keith E.¹

Affiliation:

1. Department of Pediatrics, Stanford University, Palo Alto, California

2. Information Services, Lucile Packard Children’s Hospital, Palo Alto, California

3. Department of Emergency and Transport Medicine, Children’s Hospital Los Angeles, Los Angeles, California

Abstract

This cross-sectional study assesses the ability of a language learning model to classify whether a progress note contains confidential information and to identify the specific confidential content in the note.

Publisher

American Medical Association (AMA)

Link

https://jamanetwork.com/journals/jamapediatrics/articlepdf/2814109/jamapediatrics_rabbani_2024_ld_230063_1708531182.44647.pdf

Reference6 articles.

1. 21st Century Cures Act ONC rule: implications for adolescent care and confidentiality protections.;Pasternak;Pediatrics,2023

2. Preserving privacy for pediatric patients and families: use of confidential note types in pediatric ambulatory care.;Parsons;J Am Med Inform Assoc,2020

3. The prevalence of confidential content in adolescent progress notes prior to the 21st Century Cures Act information blocking mandate.;Bedgood;Appl Clin Inform,2023

4. A natural language processing model to identify confidential content in adolescent clinical notes.;Rabbani;Appl Clin Inform,2023

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