Technical, data, and health care support for improving Alzheimer's and related dementia care
Technical, Data and Health Care Systems Core (TDHCS) (B)
This project helps hospitals and clinics use electronic health records and technical tools to find people with Alzheimer's and run real-world dementia care programs for patients and their caregivers.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Brown University NIH-funded |
| Lab location | 1 site (Providence, United States) |
| Project ID | NIH-11218945 on NIH RePORTER |
What this research studies
This core combines technical, data, and health system expertise to help hospitals identify people living with Alzheimer's and related dementias using electronic health records and Medicare data. It creates and validates algorithms to find eligible patients, supports health systems to embed pragmatic clinical trials into routine care, and helps extract outcomes from real-world data. The core also builds learning communities of health systems to share best practices and provides tools and training to local investigators and staff. By harmonizing data methods and system-level supports, the core aims to make it faster and easier to spread proven dementia care approaches into everyday clinical practice.
Who could benefit from this research
Good fit: Ideal candidates are people living with Alzheimer's disease or related dementias and their care partners who receive care at health systems participating in embedded pragmatic trials supported by the core.
Not a fit: Patients who do not get care at participating health systems or whose health issues are unrelated to dementia are unlikely to be directly affected by this core's work.
Why it matters
Potential benefit: If successful, patients could see effective dementia care practices adopted more quickly across hospitals and clinics, improving day-to-day care and support for people with Alzheimer's and their caregivers.
How similar studies have performed: Previous IMPACT Collaboratory cores have already validated identification algorithms and supported sites, so this renewal builds on established, successful methods rather than starting from scratch.
Where this research is happening
Providence, United States
- Brown University — Providence, United States (Active)
Researchers
- Principal investigator: Meeker, Daniella — Brown University
- Study coordinator: Meeker, Daniella
About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page below.