
Sign up to save your podcasts
Or
Unintentional disclosures of adolescents’ protected health information are major privacy and security concerns that providers must navigate. Natalie Pageler, MD, chief health informatics officer and division chief of pediatric clinical informatics at Stanford Medicine Children’s Health, discusses how the use of large language models (LLMs) could help prevent these disclosures by identifying confidential content in clinical notes.
4.7
3434 ratings
Unintentional disclosures of adolescents’ protected health information are major privacy and security concerns that providers must navigate. Natalie Pageler, MD, chief health informatics officer and division chief of pediatric clinical informatics at Stanford Medicine Children’s Health, discusses how the use of large language models (LLMs) could help prevent these disclosures by identifying confidential content in clinical notes.
30,672 Listeners
110,759 Listeners
95 Listeners
7,056 Listeners
1,022 Listeners
26 Listeners
28,602 Listeners
13 Listeners
19,448 Listeners