Your age
shouldn't dictate the quality of your heathcare
Your age, where you live, gender, disability, ethnicity, income, and environment shouldn't determine the quality of your healthcare. NADPH employs cutting-edge Artificial Intelligence (AI) and Machine Learning (ML), along with active community outreach, to help solve health equity concerns.
NADPH’s major objective is to Bridge the Gap in access to advanced, precision-based healthcare in underserved and under-resourced communities. NADPH seeks to do this by providing access to information, subject matter experts, and technology that helps community members.
Community Education & Outreach
Advocacy & Thought Leadership
Scientific Research & Technology
in large-scale public health surveillance processes
NADPH in partnership with CDC Foundation and Data Equity Coalitions (DECs): Data Driven Detroit, Community Information Now, Data Works, Neighborhood Nexus, and Western Pennsylvania Regional Data Center
NADPH’s work with the Robert Wood Johnson Foundation (RWJF) on “Rising Equitable Community Data Ecosystems (RECoDE)” project, or the “Improving Engagement in Community Level Data Collection” program, has helped to shape and refine its programs and operational models, strengthening the organization.
We believe good health is fundamental to a high quality life. Join us!
There are a number of ways for individuals and organizations to help. Join us today to help us reach our goal of eliminating health disparities and enhancing health outcomes.
EPIDEMIOLOGY SECTION SESSION
American Public Health Association (APHA) theme was "Creating the Healthiest Nation: Overcoming Social and Ethical Challenges."
NADPH led a session on Elevating Community Voices to Uncover the Challenges in the Public Health Data Ecosystem.
04/06/2023
Hybrid
The National Alliance Against Disparities in Patient Health (NADPH) partnered with Fisk University to host a hybrid (in-person and online) roundtable discussion with faculty researchers, health care and policy practitioners, and community leaders to discuss the realities and hype surrounding AI/ML use in health research.
The panel discussion was moderated by Rachele Hendricks-Sturrup, DHSc, MSc, MA, at the NADPH, functioning within (NIH) AIM-AHEAD's Infrastructure Core and co-chairing AIM-AHEAD's Ethics and Equity Workgroup.