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  • Frontal

    • Panel

    Fast-Tracking the Path from FHIR Implementation Guide to Implementation

    • Sara Armson ;
    • Bryn Rhodes ;
    • Laura Marcial ;
    • Daniel Vreeman ;
    • Roland Gamache

    Fast-Tracking the Path from FHIR Implementation Guide to Implementation


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    How Distributed Clinical Observations Become Big-data COVID Research Publications Using the N3C

    • Christopher Chute ;
    • Anita Walden ;
    • Emily Pfaff ;
    • Davera Gabriel ;
    • Charisse Madlock Brown ;
    • Melissa Haendel

    How Distributed Clinical Observations Become Big-data COVID Research Publications Using the N3C


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    Building Data Capacity for Patient-Centered Outcomes Research (PCOR) for the Next Decade

    • Nancy De Lew ;
    • Katherine Kim ;
    • Susan Hull ;
    • Sara Wei ;
    • Scott Smith

    Building Data Capacity for Patient-Centered Outcomes Research (PCOR) for the Next Decade


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    Generating Synthetic Health Data to Accelerate Patient-Centered Outcomes Research (PCOR) and the Evaluation of an Open-Source Synthetic Data Platform for Simulation Studies

    • Stephanie Garcia ;
    • Daniella Meeker ;
    • Casey Thompson

    Generating Synthetic Health Data to Accelerate Patient-Centered Outcomes Research (PCOR) and the Evaluation of an Open-Source Synthetic Data Platform for Simulation Studies


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    Using Clinical Informatics to Improve Chronic Pain and Opioid Management in Real-World Clinical Practice

    • Christopher Harle ;
    • Laura Marcial ;
    • Meredith Adams ;
    • Neda Laiteerapong ;
    • Roland Gamache

    Using Clinical Informatics to Improve Chronic Pain and Opioid Management in Real-World Clinical Practice


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    Ensuring Quality: A Core Competency of Federated EHR Data Networks

    • Jeffrey Klann ;
    • Darren Henderson ;
    • Shyam Visweswaran ;
    • Hossein Estiri ;
    • Shawn Murphy,

    Ensuring Quality: A Core Competency of Federated EHR Data Networks


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    Identifying and Addressing the Evolving Privacy and Security Risks Lurking in Translational Science

    • Luke Rasmussen ;
    • Chris Lunt ;
    • Shelley Rusincovitch ;
    • Justin Starren

    Identifying and Addressing the Evolving Privacy and Security Risks Lurking in Translational Science


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    Utility of the All of Us Researcher Workbench in Educational and Research Settings

    • Adrienne Roman ;
    • Hiral Master ;
    • Jessica Ancker ;
    • Evan Brittain ;
    • Patrick Wu

    Utility of the All of Us Researcher Workbench in Educational and Research Settings


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    Machine Learning, Data, Algorithms, and Equity in Biomedicine and Healthcare

    • Anthony Solomonides ;
    • Dina Paltoo ;
    • Charisse Madlock Brown ;
    • Jimmy Phuong ;
    • Arash Shaban-Nejad ;
    • Vignesh Subbian ;
    • Naoko Muramatsu

    Machine Learning, Data, Algorithms, and Equity in Biomedicine and Healthcare


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    De-Identified Record Linkage: the power of combining PPRL and an Honest Linkage Broker

    • Umberto Tachinardi ;
    • Abel Kho ;
    • Kenneth Gersing ;
    • Jasmin Phua ;
    • Shaun Grannis

    De-Identified Record Linkage: the power of combining PPRL and an Honest Linkage Broker


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    Lessons Learned from a National Data to Health Coordinating Center

    • Adam Wilcox ;
    • Anita Walden ;
    • David Eichmann ;
    • Christopher Chute ;
    • Philip Payne ;
    • Melissa Haendel

    Lessons Learned from a National Data to Health Coordinating Center


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    Enabling Re-Use of Computational Phenotyping Algorithms

    • Laura Wiley ;
    • Luke Rasmussen ;
    • Rachel Richesson

    Enabling Re-Use of Computational Phenotyping Algorithms


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