# An Interdisciplinary Program for Advanced Training in Health Data Analytics

> **NIH NIH T15** · UNIV OF NORTH CAROLINA CHAPEL HILL · 2020 · $609,402

## Abstract

The proposed training program adds predoctoral and postdoctoral training to the Carolina
Health Informatics Program (CHIP), which concentrates on both advancing research and
training in biomedical and health informatics. CHIP is a truly interdisciplinary program co-
created and co-sponsored by 1) School of Medicine, 2) Gillings School of Global Public Health,
3) School of Nursing, 4) Eshelman School of Pharmacy, 5) School of Dentistry, 6) School of
Information & Library Science, and 7) Computer Science Department of the College of Arts &
Sciences. The program is further strengthened by close partnerships with area health care
organizations and companies specializing in biopharmaceuticals, heath care, IT and analytics.
Recognizing the many challenges associated with health data analytics and use, the three
foundational aspects of the CHIP training programs are: 1) Methods for health data analytics, 2)
Building powerful interactive analytics systems that allow customization and support decision
making for a wide variety of health care operations, and 3) Addressing translational challenges
in implementing and managing information systems that leverage health data analytics
effectively. Given that CHIP is a highly interdisciplinary program, it will draw upon its diverse
faculty, research centers, laboratories, and other rich resources to develop three major types of
activities as part of the proposed advanced predoctoral and postdoctoral training program. The
three activities are: 1) Research methods and analytics techniques for clinical data science,
imaging informatics, precision medicine, and big data analytics for population health, 2) Didactic
learning based on courses in machine learning, biostatistics, big data management, and visual
analytics and additional courses that are rooted in realistic health care problems, and 3) Large-
scale, population-oriented system development, deployment, and outcome evaluation.

## Key facts

- **NIH application ID:** 9968437
- **Project number:** 5T15LM012500-04
- **Recipient organization:** UNIV OF NORTH CAROLINA CHAPEL HILL
- **Principal Investigator:** Javed Mostafa
- **Activity code:** T15 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $609,402
- **Award type:** 5
- **Project period:** 2017-07-01 → 2022-06-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/9968437

## Citation

> US National Institutes of Health, RePORTER application 9968437, An Interdisciplinary Program for Advanced Training in Health Data Analytics (5T15LM012500-04). Retrieved via AI Analytics 2026-05-24 from https://api.ai-analytics.org/grant/nih/9968437. Licensed CC0.

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