Applying Large Language Models to Assess Quality of Care: Monitoring ADHD Medication Side Effects
Deploying an LLM on a variable set of clinical notes, including telephone notes, offered scalable measurement of quality of care and uncovered opportunities to improve psychopharmacological medication management in primary care.
Authors
- Fatma Güntürkün (ORCID: https://orcid.org/0000-0002-0948-0413)
- Jessica E. Herrmann (ORCID: https://orcid.org/0000-0002-3357-8437)
- Heidi M. Feldman (ORCID: https://orcid.org/0000-0002-4435-0913)
- Malvika Pillai (ORCID: https://orcid.org/0000-0001-8739-189X)
- Yair Bannett (ORCID: https://orcid.org/0000-0001-5134-3300)
- Lynne C. Huffman (ORCID: https://orcid.org/0000-0003-1240-7118)
- Ingrid Luo (ORCID: https://orcid.org/0009-0005-6649-962X)
Institutions
- VA Palo Alto Health Care System (US)
- Stanford University (US)
Publication Details
- Journal
- PEDIATRICS
- Published
- 2024-12-19
- DOI
- https://doi.org/10.1542/peds.2024-067223
- Citations
- 10
- Primary Topic
- Attention Deficit Hyperactivity Disorder
- Type
- article
- Field-Weighted Citation Impact
- 3.86
Funders
- National Institutes of Health
- National Institute of Mental Health
- Stanford Maternal and Child Health Research Institute