Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Use of large language models to optimize poison center charting
3
Zitationen
5
Autoren
2024
Jahr
Abstract
In this study, we demonstrate that large language models can generate coherent summaries of real-world poison center calls that are often acceptable for entry to the medical record as is. When errors were present, these were often fixed with the addition or deletion of a word or phrase, presenting an enormous opportunity for efficiency gains. Our future work will focus on implementing this process in a prospective fashion.
Ähnliche Arbeiten
Research electronic data capture (REDCap)—A metadata-driven methodology and workflow process for providing translational research informatics support
2008 · 49.759 Zit.
Gene Ontology: tool for the unification of biology
2000 · 43.828 Zit.
STRING v11: protein–protein association networks with increased coverage, supporting functional discovery in genome-wide experimental datasets
2018 · 18.768 Zit.
A translation approach to portable ontology specifications
1993 · 12.444 Zit.
Blast2GO: a universal tool for annotation, visualization and analysis in functional genomics research
2005 · 11.958 Zit.