# A National Center for Digital Health Informatics Innovation

> **NIH NIH U24** · UNIVERSITY OF COLORADO DENVER · 2021 · $96,811

## Abstract

Project Summary
Local solutions rarely scale to multi-institutional settings, and don’t realize the vision of CTSAs catalyzing data-
driven translational research. Data, Software, and People are Largely Decentralized and Unconnected in
CTSA. CTSAs hold a wealth of data that is neither accessible nor interoperable; this hinders opportunities to
innovate algorithms and tools.
Tools in turn, suffer from myopic focus or blind duplication. It is extremely difficult to identify expert partners
whether for functionally validating a candidate variant for a rare disease, finding clinical cohorts, or navigating
the IP odyssey of starting a company. There are the challenges in building a truly learning health system where
high quality clinical and research data can effectively and efficiently be reused in clinical care. The CD2H has
developed the National COVID Cohort Collaborative (N3C) with COVID data from clinical institutions across
the country.
This publicly available data resource includes data on adults and pediatrics and can address the questions
related to vaccine effectiveness, treatments and predictions of severity of illness. The Pediatric COVID-19
DREAM Challenge will ask community participants to predict severity status in children, using the National
COVID Cohort Collaborative (N3C) Electronic Health Record (EHR) data. The desired outcome for this
challenge is to produce trained and validated pediatric COVID-19 severity prediction models that can be
implemented into a clinical workflow in an EHR to help facilitate appropriate treatment.

## Key facts

- **NIH application ID:** 10464821
- **Project number:** 3U24TR002306-05S1
- **Recipient organization:** UNIVERSITY OF COLORADO DENVER
- **Principal Investigator:** CHRISTOPHER G CHUTE
- **Activity code:** U24 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2021
- **Award amount:** $96,811
- **Award type:** 3
- **Project period:** 2021-09-25 → 2023-06-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10464821

## Citation

> US National Institutes of Health, RePORTER application 10464821, A National Center for Digital Health Informatics Innovation (3U24TR002306-05S1). Retrieved via AI Analytics 2026-05-26 from https://api.ai-analytics.org/grant/nih/10464821. Licensed CC0.

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