Times are displayed in (UTC-04:00) Eastern Time (US & Canada) Change
3/10/2025 |
8:30 AM – 12:00 PM |
Monongahela
W02: Real-World Analytics with Harmonized Multi-Site EHR Data: An Instructional Workshop
Presentation Type: Workshop
Session Credits: 3
Real-World Analytics with Harmonized Multi-Site EHR Data: An Instructional Workshop
Click to View Handout
Presentation Time: 08:30 AM - 12:00 PM
Abstract Keywords: Informatics Research/Biomedical Informatics Research Methods, Secondary Use of EHR Data, Biomedical Informatics and Data Science Workforce Education, Data-Driven Research and Discovery, Data-Driven Research and Discovery, Data Quality
Primary Track: Clinical Research Informatics
Programmatic Theme: Real-World Evidence in Informatics: Bridging the Gap between Research and Practice
This half-day instructional workshop will introduce attendees, including those with no programming experience, to analysis of multi-site, harmonized medical record and Electronic Health Record (EHR) data. Participants will have access to a cloud-hosted environment and will practice manipulating, analyzing, and visualizing EHR data. We’ll explore graphical and code-based analytic tools and learn about OMOP, a common data model that is growing rapidly in adoption for real-world data research. With the growing accessibility of real-world data for research purposes, we will discuss the challenges and prospects it presents in comparison to data specifically produced for research (i.e., curated data such as from clinical trials), particularly in the context of multi-site datasets. This includes both novel challenges (e.g. heterogenous missingness) and opportunities (e.g. large-scale machine learning). The presenters will use the National COVID Cohort Collaborative (N3C) as a sample data source and analytic platform to enable participants’ exploration of aggregate COVID-19 patient data as well as row-level synthetic OMOP data. N3C hosts a large database of observational EHR records, including 33 billion records on approximately 23 million patients from 84 data partners as of September 2024. We will focus on mock data developed for training purposes. We will provide facilitators at each table to lead a group exploration, so registration and access to N3C is optional (but encouraged) for all participants.
Speaker(s):
Shawn T O'Neil, PhD
University of North Carolina
Johanna Loomba, ME
University of Virginia
Richard Moffitt, Ph.D.
Emory University
Melissa Haendel, PhD
CU Anschutz
Anita Walden, MS
University of North Carolina Chapel Hill
Click to View Handout
Presentation Time: 08:30 AM - 12:00 PM
Abstract Keywords: Informatics Research/Biomedical Informatics Research Methods, Secondary Use of EHR Data, Biomedical Informatics and Data Science Workforce Education, Data-Driven Research and Discovery, Data-Driven Research and Discovery, Data Quality
Primary Track: Clinical Research Informatics
Programmatic Theme: Real-World Evidence in Informatics: Bridging the Gap between Research and Practice
This half-day instructional workshop will introduce attendees, including those with no programming experience, to analysis of multi-site, harmonized medical record and Electronic Health Record (EHR) data. Participants will have access to a cloud-hosted environment and will practice manipulating, analyzing, and visualizing EHR data. We’ll explore graphical and code-based analytic tools and learn about OMOP, a common data model that is growing rapidly in adoption for real-world data research. With the growing accessibility of real-world data for research purposes, we will discuss the challenges and prospects it presents in comparison to data specifically produced for research (i.e., curated data such as from clinical trials), particularly in the context of multi-site datasets. This includes both novel challenges (e.g. heterogenous missingness) and opportunities (e.g. large-scale machine learning). The presenters will use the National COVID Cohort Collaborative (N3C) as a sample data source and analytic platform to enable participants’ exploration of aggregate COVID-19 patient data as well as row-level synthetic OMOP data. N3C hosts a large database of observational EHR records, including 33 billion records on approximately 23 million patients from 84 data partners as of September 2024. We will focus on mock data developed for training purposes. We will provide facilitators at each table to lead a group exploration, so registration and access to N3C is optional (but encouraged) for all participants.
Speaker(s):
Shawn T O'Neil, PhD
University of North Carolina
Johanna Loomba, ME
University of Virginia
Richard Moffitt, Ph.D.
Emory University
Melissa Haendel, PhD
CU Anschutz
Anita Walden, MS
University of North Carolina Chapel Hill