# Technical/Data Core

> **NIH NIH U54** · BROWN UNIVERSITY · 2022 · $1,467,186

## Abstract

Project Summary – Technical Data Core
Health-system embedded pragmatic clinical trials (ePCT) that address the needs of people with dementia (PWD)
and their caregivers (CGs) are critical for developing and disseminating evidence-based, non-pharmacological
interventions. A key element of ePCTs is to use data derived from and integrated with the health system workflow
in the design, conduct, and dissemination of interventions. Central to the establishment of National Institute on
Aging (NIA) Alzheimer's disease (AD)/AD-related dementia (AD/ADRD) Healthcare Systems (HCS)
Collaboratory, the Technical Data Core (TDC) will develop methods, tools, and data strategies that enable
efficient use of electronic health records (EHRs), administrative data and other sources of information to
accelerate the conduct of ePCTs in PWD and their CGs in partnership with the HCSs that serve them. To do so,
the TDC core will conduct the foundational work needed to establish the methods that identify participants and
measure outcomes, provide technical assistance to implement those methods and monitor pilot progress, and
provide aggregated information about sites of care and geographic areas to assist in selection of pilot sites and
dissemination. The methods and tools developed in this Core will have broad applicability for future full-scale
ePCTs conducted with HCS that test interventions aimed at improving the care and outcomes for PWD and their
CGs. The TDC will be led Dr. Julie Bynum, Professor of Medicine in Geriatrics and Palliative Care at the
University of Michigan, an expert in the study of health system quality, processes and outcomes when caring for
older adults, with a specific focus on AD/ADRD. Dr. Bynum will be supported by five exceptional Executive
Committee members, who bring critical expertise in: natural language processing and informatics, complex data
sharing, experience with data needs of AD/ADRD ePCTs, healthcare information systems in complex illness,
and the NIH HCS Collaboratory’s Distributed Research Network. The Aims of the TDC are: Aim 1: To develop
and disseminate standardized and valid algorithms to identify and characterize PWD, from EHRs, registries and
administrative datasets (e.g., Medicare claims, Minimum Data Set) and their CGs; Aim 2: To develop and
disseminate standardized and valid data algorithms that capture relevant health outcomes of PWD and their
CGs; Aim 3: To provide technical assistance to Collaboratory pilot project leaders and career development
awardees, as well as NIA-funded investigators conducting ePCTs in PWD; and Aim 4: To enable access to
remote enclaves of sensitive data (e.g., EHRs, private claims records). IMPACT: A successful TDC is essential
to enable ePCTs by improving efficiency of participant identification and outcome measurement, and to provide
information that supports selection of sites for pilot studies and for ultimate dissemination of ePCT across HCS.
The methods and tools developed in this Core wil...

## Key facts

- **NIH application ID:** 10443664
- **Project number:** 5U54AG063546-04
- **Recipient organization:** BROWN UNIVERSITY
- **Principal Investigator:** Julie PW Bynum
- **Activity code:** U54 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2022
- **Award amount:** $1,467,186
- **Award type:** 5
- **Project period:** 2019-09-01 → 2024-06-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10443664

## Citation

> US National Institutes of Health, RePORTER application 10443664, Technical/Data Core (5U54AG063546-04). Retrieved via AI Analytics 2026-05-24 from https://api.ai-analytics.org/grant/nih/10443664. Licensed CC0.

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