Symposium Speaker: Emily Pfaff, MS, PhD

Dr. Emily R. Pfaff received her Masters in Information Science and her PhD in Clinical and Health Informatics, both from the University of North Carolina (UNC). Since 2011, Dr. Pfaff has served in multiple roles in the North Carolina Translational and Clinical Sciences Institute (NC TraCS), UNC's CTSA. Dr. Pfaff is currently NC TraCS Co-Director for Informatics and Data Science. She is also Associate Director of UNC Chapel Hill School of Medicine's Program on Clinical and Health Informatics. Dr. Pfaff has an academic appointment as Research Associate Professor in the Department of Medicine, Division of Endocrinology & Metabolism at UNC Chapel Hill School of Medicine. Dr. Pfaff is nationally known for her work and leadership in the National Covid Cohort Collaborative (N3C), now known as the N3C COVID Enclave. The N3C COVID Enclave is the largest data enclave of de-identified, individual-level clinical data available for COVID-19 research. Dr. Pfaff and others are piloting additional data enclaves as part of the expansion of N3C, the National Clinical Cohort Collaborative.

 

Recent Publications

  1. Lamoureux, AA, Fisher, MJ, Lemelle, L, Pfaff, E, Amir-Yazdani, P, Kramm, C, De Wilde, B, Kazanowska, B, Hutter, C, Pfister, SM et al.. Clinical characteristics and outcome of central nervous system tumors harboring NTRK gene fusions. Clin Cancer Res 2024; : . PubMed PMID:39625867 .
  2. Walters, KM, Clark, M, Dard, S, Hong, SS, Kelly, E, Kostka, K, Lee, AM, Miller, RT, Morris, M, Palchuk, MB et al.. National COVID Cohort Collaborative Data Enhancements: A Path for Expanding Common Data Models. J Am Med Inform Assoc 2024; : . PubMed PMID:39579089 .
  3. Tan, ALM, Gonçalves, RS, Yuan, W, Brat, GA, Gentleman, R, Kohane, IS, Consortium for Clinical Characterization of COVID-19 by EHR (4CE) . Implications of mappings between International Classification of Diseases clinical diagnosis codes and Human Phenotype Ontology terms. JAMIA Open 2024; 7 (4): ooae118. PubMed PMID:39559493 PubMed Central PMC11570992.
  4. Wang, WK, Jeong, H, Hershkovich, L, Cho, P, Singh, K, Lederer, L, Roghanizad, AR, Shandhi, MMH, Kibbe, W, Dunn, J et al.. Tree-based classification model for Long-COVID infection prediction with age stratification using data from the National COVID Cohort Collaborative. JAMIA Open 2024; 7 (4): ooae111. PubMed PMID:39524607 PubMed Central PMC11547948.
  5. Vinson, AJ, Anzalone, AJ, Schissel, M, Dai, R, Olex, AL, Mannon, RB, National COVID Cohort Collaborative. Association of COVID-19 With Risk of Posttransplant Diabetes Mellitus. Transplantation 2024; : . PubMed PMID:39531312 .
  6. O'Neil, ST, Madlock-Brown, C, Wilkins, KJ, McGrath, BM, Davis, HE, Assaf, GS, Wei, H, Zareie, P, French, ET, Loomba, J et al.. Finding Long-COVID: temporal topic modeling of electronic health records from the N3C and RECOVER programs. NPJ Digit Med 2024; 7 (1): 296. PubMed PMID:39433942 PubMed Central PMC11494196.
  7. Patanwala, AE, Xiao, X, Hills, TE, Higgins, AM, McArthur, CJ, Alexander, GC, Mehta, HB, National Covid Cohort Collaborative (N3C) Consortium. Comparative Effectiveness of Baricitinib Versus Tocilizumab in Hospitalized Patients With COVID-19: A Retrospective Cohort Study of the National Covid Collaborative. Crit Care Med 2024; : . PubMed PMID:39365115 .
  8. Bergquist, T, Loomba, J, Pfaff, E, Xia, F, Zhao, Z, Zhu, Y, Mitchell, E, Bhattacharya, B, Shetty, G, Munia, T et al.. Crowd-sourced machine learning prediction of long COVID using data from the National COVID Cohort Collaborative. EBioMedicine 2024; 108 : 105333. PubMed PMID:39321500 PubMed Central PMC11462169.
  9. Islam, JY, Hurwitz, E, Li, D, Camacho-Rivera, M, Sun, J, Safo, S, Ross, JM, Wilkins, K, Hassan, S, Hill, EL et al.. Associations of County-Level Social Determinants of Health with COVID-19 Related Hospitalization Among People with HIV: A Retrospective Analysis of the U.S. National COVID Cohort Collaborative (N3C). AIDS Behav 2024; 28 (Suppl 1): 136-148. PubMed PMID:39292319 PubMed Central PMC11469976.
  10. Wen, A, Wang, L, He, H, Fu, S, Liu, S, Hanauer, DA, Harris, DR, Kavuluru, R, Zhang, R, Natarajan, K et al.. A Case Demonstration of the Open Health Natural Language Processing Toolkit From the National COVID-19 Cohort Collaborative and the Researching COVID to Enhance Recovery Programs for a Natural Language Processing System for COVID-19 or Postacute Sequelae of SARS CoV-2 Infection: Algorithm Development and Validation. JMIR Med Inform 2024; 12 : e49997. PubMed PMID:39250782 PubMed Central PMC11420592.
Search PubMed

The Pfaff Lab Website

Curriculum vitae