Nathanael R. Fillmore
Topics / Health Informatics
Topic

Health Informatics

Fillmore has developed advanced informatics frameworks to extract critical clinical data from unstructured electronic health records using natural language processing and machine learning. His work focuses on the creation of scalable tools for identifying patient eligibility for clinical trials, automating the recovery of oncology staging and biomarkers, and implementing learning health systems within the Department of Veterans Affairs. Through these efforts, he has demonstrated how integrated data science can reduce administrative burdens and improve the precision of clinical decision support.

U.S. Veterans and VA Data 10 Electronic Health Records 10 Natural Language Processing 6 Clinical Notes 4 Rule-Based Algorithms 3 Clinical Decision Support 3 Model Validation 3 Clinical Trial Enrollment 2 Learning Health Systems 2 Patient Screening Workflow 2 VA Cancer Registry 2 Radiology and Pathology Reports 2

Publications (12)

2026

Rule-based natural language processing to extract clinical trial and research study enrollment history from unstructured notes.

Sergey D. Goryachev†, Julie Tsu-Yu Wu†, Eric Lin†, Daphne R. Friedman, Robert Zwolinski, Rupali Dhond, Danne C. Elbers, Jennifer La, Cenk Yildirim, June K. Corrigan, Daniel C. R. Chen, Mary T. Brophy, Nhan V. Do‡, Nathanael R. Fillmore‡† Equal first authorship · ‡ Equal senior authorship

Health Informatics Journal32(1), 14604582261430614
U.S. Veterans and VA Data Electronic Health Records Natural Language Processing Rule-Based Algorithms Clinical Notes
2025

Rapid Support and Implementation of an Application for the Prediction Augmented Screening Initiative (PASI) Planning Phase Through the Enabling Technologies for Rapid Learning Health Systems Platform (ENTHRALL) at the Department of Veterans Affairs (VA).

Hannah M. Tosi, Chunlei Zheng, Amelia H. Tarren, Meghana Yellanki, Stephen J. Miller, Oleg V. Soloviev, June K. Corrigan, George R. Schneeloch, Hormuzd A. Katki, Lauren E. Kearney, Tanner J. Caverly, Nichole T. Tanner, Renda Soylemez Wiener, Mary Brophy, Nathanael R. Fillmore, Nhan V. Do, Danne C. Elbers

Cancer Informatics24, 11769351251389781
U.S. Veterans and VA Data Electronic Health Records Lung Cancer Natural Language Processing Learning Health Systems
2025

Automated Extraction of Imaging and Pathology Data From Diverse Prostate Cancer Electronic Records.

John M. Culnan, Sergey D. Goryachev, John R. Bihn, Grace Lee, Daniel C. R. Chen, Oleg Soloviev, Robert Zwolinski, Karlynn N. Dulberger, Nhan V. Do, Channing J. Paller, Matthew R. Cooperberg‡, Nathanael R. Fillmore‡‡ Equal senior authorship

JCO Clinical Cancer Informatics9, e2500085
U.S. Veterans and VA Data Electronic Health Records Prostate Cancer Natural Language Processing VA Cancer Registry
2024

Natural Language Processing Algorithm to Extract Multiple Myeloma Stage From Oncology Notes in the Veterans Affairs Healthcare System.

Sergey D. Goryachev†, Cenk Yildirim†, Clark DuMontier†, Jennifer La†, Mayuri Dharne, J. Michael Gaziano, Mary T. Brophy, Nikhil C. Munshi, Jane A. Driver, Nhan V. Do‡, Nathanael R. Fillmore‡† Equal first authorship · ‡ Equal senior authorship

JCO Clinical Cancer Informatics8, e2300197
U.S. Veterans and VA Data Electronic Health Records Multiple Myeloma Natural Language Processing VA Cancer Registry
2024

Matching Patients to Accelerate Clinical Trials (MPACT): Enabling Technology for Oncology Clinical Trial Workflow.

Nhan V. Do, Danne C. Elbers, Nathanael R. Fillmore, Samuel Ajjarapu, Steven J. Bergstrom, John Bihn, June K. Corrigan, Rupali Dhond, Svitlana Dipietro, Arkadiy Dolgin, Theodore C. Feldman, Sergey D. Goryachev, Linden B. Huhmann, Jennifer La, Paul A. Marcantonio, Kyle M. McGrath, Stephen J. Miller, Vinh Q. Nguyen, George R. Schneeloch, Feng-Chi Sung, Kaitlin N. Swinnerton, Amelia H. Tarren, Hannah M. Tosi, Danielle Valley, Austin D. Vo, Cenk Yildirim, Chunlei Zheng, Robert Zwolinski, Gisele A. Sarosy, David Loose, Colleen Shannon, Mary T. Brophy

Studies in Health Technology and Informatics310, 1086-1090
U.S. Veterans and VA Data Electronic Health Records Natural Language Processing Clinical Trial Enrollment Patient Screening Workflow
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
2021

Updating and Validating the U.S. Veterans Affairs Frailty Index: Transitioning From ICD-9 to ICD-10.

David Cheng†, Clark DuMontier†, Cenk Yildirim, Brian Charest, Chelsea E. Hawley, Min Zhuo, Julie M. Paik, Enzo Yaksic, J. Michael Gaziano, Nhan Do, Mary Brophy, Kelly Cho, Dae H. Kim, Jane A. Driver, Nathanael R. Fillmore‡, Ariela R. Orkaby‡† Equal first authorship · ‡ Equal senior authorship

Journals of Gerontology: Series A76(7), 1318-1325
U.S. Veterans and VA Data Electronic Health Records Frailty Electronic Frailty Index ICD-10 Coding
2020

An application to support COVID-19 occupational health and patient tracking at a Veterans Affairs medical center.

Nathanael R. Fillmore†, Danne C. Elbers†, Jennifer La, Theodore C. Feldman, Feng-Chi Sung, Robert B. Hall, Vinh Nguyen, Nicholas Link, Robert Zwolinski, Svitlana Dipietro, Steven J. Miller, Anahit Aleksanyan, Sergey D. Goryachev, Paul Corcoran, Steven J. Bergstrom, Michael A. Parenteau, Robert S. Sprague, David J. Thornton, Jane A. Driver, Judith M. Strymish, Stewart Evans, Benjamin Colonna, Mary T. Brophy, Nhan V. Do† Equal first authorship

Journal of the American Medical Informatics Association27(11), 1716-1720
COVID-19 Occupational Health Patient Tracking Contact Tracing Health Informatics