Topic

Clinical Informatics

Fillmore focuses on the development of scalable data infrastructure and automated extraction tools to enhance precision oncology. His work includes the creation of the Veterans Precision Oncology Data Commons to integrate clinical, genomic, and imaging data for national research use. Additionally, he has developed natural language processing tools to accurately extract biomarkers from unstructured clinical notes, reducing the reliance on manual chart review.

U.S. Veterans and VA Data 2 Electronic Health Records 2 Natural Language Processing 1 Machine Learning 1 PD-L1 Expression 1 Clinical Notes 1 Health Informatics 1 Immunotherapy 1 Precision Oncology 1 Data Sharing Platform 1 Clinical Data Integration 1 Cancer Patients 1

Publications (2)

2023

Machine learning-based natural language processing to extract PD-L1 expression levels from clinical notes.

Eric Lin^†, Robert Zwolinski^†, Julie Tsu-Yu Wu, Jennifer La, Sergey Goryachev, Linden Huhmann, Cenk Yildrim, David P. Tuck, Danne C. Elbers, Mary T. Brophy, Nhan V. Do^‡, Nathanael R. Fillmore^‡^† Equal first authorship · ^‡ Equal senior authorship

Health Informatics Journal29(3), 14604582231198021

U.S. Veterans and VA Data Electronic Health Records Natural Language Processing Machine Learning PD-L1 Expression

2019

The Veterans Precision Oncology Data Commons: Transforming VA data into a national resource for research in precision oncology.

Nhan Do, Robert Grossman, Theodore Feldman, Nathanael Fillmore, Danne Elbers, David Tuck, Rupali Dhond, Luis Selva, Frank Meng, Michael Fitzsimons, Samuel Ajjarapu, Siamack Ayandeh, Robert Hall, Stephanie Do, Mary Brophy

Seminars in Oncology46(4-5), 314-320

U.S. Veterans and VA Data Electronic Health Records Precision Oncology Data Sharing Platform Clinical Informatics