# University of Minnesota Clinical and Translational Science Institute (UMN CTSI)

> **NIH NIH UL1** · UNIVERSITY OF MINNESOTA · 2020 · $99,921

## Abstract

The National COVID Cohort Collaborative (N3C) is a project that is funded by NCATS to build
a central registry of patients who have been tested for COVID-19 or have a clinical diagnosis of
COVID-19. The Observational Medical Outcomes Partnership (OMOP) data model is the
representational format used in the full N3C repository. This project proposes to develop a
COVID-19 data extract from the University of Minnesota COVID-19 Registry by mapping it to
the OMOP data model in order to support optimal participation in the N3C. The OMOP format
will allow us to contribute all of our COVID-19 patient data at a level of detail necessary to
study this disease.
The University of Minnesota has developed and maintains a CDR that contains the EHR records
and ancillary data for 3M patients from affiliated clinics and hospitals of the M Health Fairview
System. The CDR was created in 2012 and uses a proprietary data model developed at the
University of Minnesota which has served our researchers well. In 2017, Fairview Health
Systems merged with another healthcare organization, HealthEast. As of 2020, the HealthEast
EHR has not been integrated into the overall Fairview Epic system and no HealthEast EHR
records are available in the CDR. In March 2020, one of the HealthEast hospitals, Bethesda, was
designated as the COVID hospital to treat COVID-19 ICU patients for the combined health
system. Because of this, only 50% of our COVID-19 patients' data is available in the CDR.
In order to serve the immediate needs of our COVID-19 researchers, a process for extracting
COVID-19 related data from the HealthEast system into a University of Minnesota COVID-19
Registry has been implemented. The University of Minnesota has signed the N3C data transfer
agreement and will begin participation by extracting data from our ACT i2b2 instance to the
N3C. However, none of the HealthEast data is incorporated into our ACT i2b2 database. For
complete participation, we propose to map the University of Minnesota COVID-19 Registry to
OMOP in order to support optimal participation in the N3C. The OMOP data model provides the
optimal mapping with the most detail and gives the N3C the most benefits from our data. This
approach will also allow all of the HealthEast COVID-19 patient data to be included in a
complete extract of all COVID-19 patients across our entire health system to the N3C with data
represented at a level of detail necessary to study this disease.

## Key facts

- **NIH application ID:** 10228268
- **Project number:** 3UL1TR002494-03S5
- **Recipient organization:** UNIVERSITY OF MINNESOTA
- **Principal Investigator:** Steve G Johnson
- **Activity code:** UL1 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $99,921
- **Award type:** 3
- **Project period:** 2018-03-30 → 2021-06-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10228268

## Citation

> US National Institutes of Health, RePORTER application 10228268, University of Minnesota Clinical and Translational Science Institute (UMN CTSI) (3UL1TR002494-03S5). Retrieved via AI Analytics 2026-05-26 from https://api.ai-analytics.org/grant/nih/10228268. Licensed CC0.

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