Details
As part of the Health Outcomes of Interest (HOI) series of projects, this project aims to: develop and validate electronic algorithms for identifying cases of lymphoma in the Sentinel Distributed Database using the Cohort Identification and Descriptive Analysis (CIDA) tool and full-text medical record review.
Additional Information
Contributors
Mara Meyer Epstein ScD; Meyers Primary Care Institute, University of Massachusetts Medical School, Worcester, MA
Susan E. Andrade ScD; Chris Delude; Jerry Gurwitz MD; Cassandra Saphirak MA; Mary Ellen Stansky; Yanhua Zhou MS; Meyers Primary Care Institute (Fallon Community Health Plan, Reliant Medical Group, and University of Massachusetts Medical School)
Muthalagu Ramanathan MD; University of Massachusetts Medical School)
Tejaswini Dhawale MD; University of Washington Medical Center
Noelle Cocoros DSc; Nina DiNunzio; Sandra Feibelmann MPH; Autumn Gertz; Laura Hou; Department of Population Medicine, Harvard Pilgrim Health Care Institute and Harvard Medical School, Boston, MA
Sarah Dutcher PhD; Office of Research and Standards/Office of Generic Drugs, Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, MD
Nguyen Michael MD; Office of Surveillance and Epidemiology, Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, MD
Kira Leishear PhD; Office of Surveillance and Epidemiology/Division of Epidemiology I, Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, MD