Jeremy L Warner

Summary

Affiliation: Vanderbilt University
Country: USA

Publications

  1. doi request reprint Classification of hospital acquired complications using temporal clinical information from a large electronic health record
    Jeremy L Warner
    Department of Medicine, Division of Hematology and Oncology, Vanderbilt University, Nashville, TN, USA Department of Biomedical Informatics, Vanderbilt University, Nashville, TN, USA Electronic address
    J Biomed Inform 59:209-17. 2016
  2. doi request reprint ReCAP: Feasibility and Accuracy of Extracting Cancer Stage Information From Narrative Electronic Health Record Data
    Jeremy L Warner
    Vanderbilt University and Vanderbilt Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN
    J Oncol Pract 12:157-8. 2016
  3. doi request reprint HemOnc.org: A Collaborative Online Knowledge Platform for Oncology Professionals
    Jeremy L Warner
    Vanderbilt University, Nashville, TN Fred Hutchinson Cancer Research Center and University of Washington School of Medicine, Seattle, WA University of Wisconsin School of Medicine and Public Health, Madison, WI Massachusetts General Hospital, Boston, MA
    J Oncol Pract 11:e336-50. 2015
  4. doi request reprint Development, implementation, and initial evaluation of a foundational open interoperability standard for oncology treatment planning and summarization
    Jeremy L Warner
    Department of Medicine, Division of Hematology and Oncology, Vanderbilt University, Nashville, TN, USA Department of Biomedical Informatics, Vanderbilt University, Nashville, TN, USA
    J Am Med Inform Assoc 22:577-86. 2015
  5. pmc Physician inter-annotator agreement in the Quality Oncology Practice Initiative manual abstraction task
    Jeremy L Warner
    Vanderbilt University, Nashville, TN, USA
    J Oncol Pract 9:e96-102. 2013
  6. pmc External phenome analysis enables a rational federated query strategy to detect changing rates of treatment-related complications associated with multiple myeloma
    Jeremy L Warner
    Department of Medicine, Division of Hematology and Oncology, Vanderbilt University, Nashville, Tennessee 37232, USA
    J Am Med Inform Assoc 20:696-9. 2013
  7. pmc Temporal phenome analysis of a large electronic health record cohort enables identification of hospital-acquired complications
    Jeremy L Warner
    Department of Medicine, Division of Hematology and Oncology, Vanderbilt University, Nashville, Tennessee, USA
    J Am Med Inform Assoc 20:e281-7. 2013
  8. pmc Phenome based analysis as a means for discovering context dependent clinical reference ranges
    Jeremy L Warner
    Division of Hematology Oncology, Vanderbilt University, Nashville, TN, USA
    AMIA Annu Symp Proc 2012:1441-9. 2012
  9. doi request reprint Seeing the forest through the trees: uncovering phenomic complexity through interactive network visualization
    Jeremy L Warner
    Division of Hematology Oncology, Department of Medicine, Vanderbilt University, Nashville, Tennessee, USA Department of Biomedical Informatics, Vanderbilt University, Nashville, Tennessee, USA
    J Am Med Inform Assoc 22:324-9. 2015

Detail Information

Publications9

  1. doi request reprint Classification of hospital acquired complications using temporal clinical information from a large electronic health record
    Jeremy L Warner
    Department of Medicine, Division of Hematology and Oncology, Vanderbilt University, Nashville, TN, USA Department of Biomedical Informatics, Vanderbilt University, Nashville, TN, USA Electronic address
    J Biomed Inform 59:209-17. 2016
    ....
  2. doi request reprint ReCAP: Feasibility and Accuracy of Extracting Cancer Stage Information From Narrative Electronic Health Record Data
    Jeremy L Warner
    Vanderbilt University and Vanderbilt Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN
    J Oncol Pract 12:157-8. 2016
    ..Can the cancer stage be accurately extracted by natural language processing (NLP) of the text from EHRs?..
  3. doi request reprint HemOnc.org: A Collaborative Online Knowledge Platform for Oncology Professionals
    Jeremy L Warner
    Vanderbilt University, Nashville, TN Fred Hutchinson Cancer Research Center and University of Washington School of Medicine, Seattle, WA University of Wisconsin School of Medicine and Public Health, Madison, WI Massachusetts General Hospital, Boston, MA
    J Oncol Pract 11:e336-50. 2015
    ..This information is constantly evolving, and there has been no freely available, comprehensive, centralized repository of chemotherapy information to date...
  4. doi request reprint Development, implementation, and initial evaluation of a foundational open interoperability standard for oncology treatment planning and summarization
    Jeremy L Warner
    Department of Medicine, Division of Hematology and Oncology, Vanderbilt University, Nashville, TN, USA Department of Biomedical Informatics, Vanderbilt University, Nashville, TN, USA
    J Am Med Inform Assoc 22:577-86. 2015
    ..Develop and evaluate a foundational oncology-specific standard for the communication and coordination of care throughout the cancer journey, with early-stage breast cancer as the use case...
  5. pmc Physician inter-annotator agreement in the Quality Oncology Practice Initiative manual abstraction task
    Jeremy L Warner
    Vanderbilt University, Nashville, TN, USA
    J Oncol Pract 9:e96-102. 2013
    ..We quantified the IAA of QOPI abstractions on a cohort of cancer patients treated at Beth Israel Deaconess Medical Center...
  6. pmc External phenome analysis enables a rational federated query strategy to detect changing rates of treatment-related complications associated with multiple myeloma
    Jeremy L Warner
    Department of Medicine, Division of Hematology and Oncology, Vanderbilt University, Nashville, Tennessee 37232, USA
    J Am Med Inform Assoc 20:696-9. 2013
    ..This proof of concept demonstrates that a staged approach to federated queries, using external EHR data, can yield potentially clinically meaningful results...
  7. pmc Temporal phenome analysis of a large electronic health record cohort enables identification of hospital-acquired complications
    Jeremy L Warner
    Department of Medicine, Division of Hematology and Oncology, Vanderbilt University, Nashville, Tennessee, USA
    J Am Med Inform Assoc 20:e281-7. 2013
    ..To develop methods for visual analysis of temporal phenotype data available through electronic health records (EHR)...
  8. pmc Phenome based analysis as a means for discovering context dependent clinical reference ranges
    Jeremy L Warner
    Division of Hematology Oncology, Vanderbilt University, Nashville, TN, USA
    AMIA Annu Symp Proc 2012:1441-9. 2012
    ..In conclusion, context-dependent clinical reference ranges are critical to clinical decision making; furthermore, important findings can be discovered through EMR-driven phenome association studies...
  9. doi request reprint Seeing the forest through the trees: uncovering phenomic complexity through interactive network visualization
    Jeremy L Warner
    Division of Hematology Oncology, Department of Medicine, Vanderbilt University, Nashville, Tennessee, USA Department of Biomedical Informatics, Vanderbilt University, Nashville, Tennessee, USA
    J Am Med Inform Assoc 22:324-9. 2015
    ..Visualization of complex data, potentially offered as point-of-care tools on mobile devices, may allow clinicians and researchers to quickly generate hypotheses and gain deeper understanding of patient subpopulations...