data extraction

  • To accelerate translation, researchers need access to a broad range of data from a variety of sources (electronic health records, imaging, genetics, behavioral, etc.). These sources manage and store data differently, which creates the need for standardization. The Informatics Common Metric, which is in its second year, addresses the need to harmonize data across the CTSA Program. This will enhance
  • The webcast provides examples of how data interoperability was used in the N3C program for the COVID-19 pandemic. The first five webcasts are an introduction to informatics, created to build foundational knowledge and to define key terms. We encourage you to watch them in order.
  • University Of Washington

    Understanding the complexities of requesting research data within a large academic health system can be a challenge for investigators. The University of Washington (UW) is working to provide the research community with avenues for requesting data that are both simple to understand and execute. From self-service tools both in and outside of the Electronic Health Record (EHR), to a well-defined

  • University Of Washington

    Introduction The COVID-19 pandemic has claimed over 220,000 lives in the United States. A promising resource for discovery in COVID-19’s symptom progress is data documented in electronic health record (EHR) systems as part of clinical care. Such data are stored in disparate locations within the EHR, requiring multiple extraction methods. Methods Symptoms were extracted from EHR data for all

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    Johns Hopkins University

    The June HOT meeting will cover the Protégé plug-in tool and “caDSR on FHIR”, with insight from the CD2H ACT enhancement project. The HOT team is building a FHIR terminology service that focuses on value sets from data elements and value domains in the NCI cancer Data Standards Registry and Repository (caDSR). Guest speakers this month include Dr. Gilberto Fragoso (NCI Center for Biomedical

  • CD2H-teal
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    Center for Data to Health

    AMIA attendees, come join panel discussion S24 - Open Source Research Analytics: Using Leaf for Cohort Discovery and Data Extraction to hear an overview of Leaf data model-agnostic functionality and examine various use cases where the software is being actively developed and used at various institutions. Discussion will cover an introduction to Leaf (a lightweight self-service web application for