Enabling Drug-Induced Liver Injury Surveillance Through Automated Medication Extraction From Clinical Notes: A Medical Information Mart for Intensive Care IV Real-World Large Language Models Validation Study
The LLM demonstrates high accuracy and perfect recall for unique medication extraction and identification from complex clinical notes, establishing technical feasibility. This represents a feasible and possible integration of LLM towards developing automated tools for enhanced DILI surveillance and improved patient safety.
Authors
- Thanathip Suenghataiphorn (ORCID: https://orcid.org/0000-0001-7811-7960)
- Vitchapong Prasitsumrit
- Pojsakorn Danpanichkul (ORCID: https://orcid.org/0000-0002-9121-165X)
- Narathorn Kulthamrongsri (ORCID: https://orcid.org/0000-0002-9123-7649)
- Kanachai Boonpiraks (ORCID: https://orcid.org/0000-0002-3366-2233)
Institutions
- University of Hawaiʻi at Mānoa (US)
- Texas Tech University (US)
- University of Hawaii System (US)
- Griffin Hospital (US)
- University of Kansas Medical Center (US)
- Texas Tech University Health Sciences Center (US)
Publication Details
- Journal
- Gastroenterology Research
- Published
- 2025-10-01
- DOI
- https://doi.org/10.14740/gr2062
- Citations
- 1
- Primary Topic
- Pharmaceutical Practices and Patient Outcomes
- Type
- article
- Field-Weighted Citation Impact
- 1.22