ISPE 2026: Leveraging unstructured EHR notes using LLMs to unlock real-world outcomes in intracranial aneurysm

Authors: Sarah Eng, MPH ⊕, Truveta, Inc, Bellevue, WA, Amy Wu ⊕, Truveta, Inc, Bellevue, WA, Joseph Engeda, PhD ⊕, Truveta, Inc, Bellevue, WA, Esther Kim, PhD ⊕, Truveta, Inc, Bellevue, WA, Joud Roufael, MPH ⊕, Truveta, Inc, Bellevue, WA, Amy Sullivan, MS ⊕, Truveta, Inc, Bellevue, WA, Jared Kern ⊕, Truveta, Inc, Bellevue, WA, Puja Rao, MPH ⊕, Truveta, Inc, Bellevue, WA, Mantas Dmukauskas, PhD ⊕, Truveta, Inc, Bellevue, WA, Vidya Venkataraman, PhD ⊕ Truveta, Inc, Bellevue, WA, The Truveta Language Model (TLM) extracted angiographic occlusion and functional status outcomes from unstructured cli