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Kidney Week

Abstract: INFO13-SA

NIH Artificial Intelligence/Machine Learning Consortium to Advance Health Equity and Researcher Diversity (AIM-AHEAD): West Hub

Session Information

Category: Diversity and Equity in Kidney Health

  • No subcategory defined

Authors

  • Nicholas, Susanne B., University of California Los Angeles, Los Angeles, California, United States
  • Cabunag, Christian, University of California Los Angeles, Los Angeles, California, United States
  • Norris, Keith C., University of California Los Angeles, Los Angeles, California, United States
  • Jones, Cami R., Providence St Joseph Health, Renton, Washington, United States
  • Tuttle, Katherine R., Providence St Joseph Health, Renton, Washington, United States
  • Bui, Alex, University of California Los Angeles, Los Angeles, California, United States
  • Xu, Fang, Centers for Disease Control and Prevention, Atlanta, Georgia, United States
  • Shen, Jenny, University of California Los Angeles, Los Angeles, California, United States
  • Alicic, Radica Z., Providence St Joseph Health, Renton, Washington, United States
  • Daratha, Kenn B., Providence St Joseph Health, Renton, Washington, United States
  • Kornowske, Lindsey M., Providence St Joseph Health, Renton, Washington, United States
  • Reynolds, Christina, Providence St Joseph Health, Renton, Washington, United States
  • Neumiller, Joshua J., Washington State University College of Pharmacy and Pharmaceutical Sciences, Spokane, Washington, United States
  • Mayhand, Kiara, John Hopkins University, Baltimore, Maryland, United States
  • Zemke, Anna M., University of Washington, Seattle, Washington, United States
  • Pavkov, Meda E., Centers for Disease Control and Prevention, Atlanta, Georgia, United States
Description

AIM-AHEAD was created by the NIH Office of Data Science to increase participation and representation of researchers and communities currently underrepresented in the development of Artificial Intelligence/Machine learning (AI/ML) models to understand and address their community’s health needs. West Hub is part of the AIM-AHEAD Admin/Leadership Core, and its mission is to promote community engagement around AI/ML awareness in underserved settings, and knowledge among community health stakeholders.

The Center for Kidney Disease Research, Education and Hope (CURE-CKD) collaborative was established to assess the incidence, prevalence, and care of chronic kidney disease (CKD) in two healthcare systems. An infrastructure was created to facilitate and leverage the longstanding research and quality improvement expertise within the Providence and UCLA systems. CURE-CKD is a unique multidisciplinary collaboration between nephrologists, endocrinologists, primary care physicians with health services research skills, health economists, and those with expertise in statistics, bioinformatics and AI/ML. CURE-CKD provides important contributions for healthcare and for improving clinical outcomes in patients with and at-risk for CKD (diabetes, hypertension, prediabetes). The CURE-CKD registry holds longitudinal EHR data from UCLA & Providence spanning 2006-2022 and >150 EHR variables for >5M patients with or at-risk for CKD. The CURE-CKD registry powers research for the prediction of factors that impact CKD progression and access to care and the identification of potential interventions to delay CKD progression

Funding

  • NIH