Alberto Ortega Hinojosa
Alberto M. Ortega Hinojosa is a principal researcher in the Health Program at AIR. He has more than fourteen years of research experience in the development, maintenance, optimization, and use of comprehensive research datasets with multiple levels of detail and non-conforming geographies, interactive cloud-based business intelligence and data visualization solutions, and geographic information systems (GIS). Dr. Ortega has expertise in health equity and social determinants of health (SDoH), health data and business intelligence, healthcare knowledge translation, and healthcare policy implementation and evaluation, including developing conceptual models to create evidence-based measures to inform policy and research analyses.
As the principal investigator of the subaward for the NIH-funded Rapid Acceleration of Diagnostics, Underserved Populations (RADx-UP) Coordination and Data Collection Center (CDCC), Dr. Ortega leads AIR’s team, as part of the greater Duke Consortium, to support the CDCC’s efforts to reduce COVID-19 disparities and help understand and alleviate the barriers to COVID-19 testing across the nation. He is also a co-chair of the CDCC’s Understanding the Social Determinants of COVID-19 Testing and Vaccination working group. As project director for the Alliance of Community Health Plans (ACHP) Analytics Platform Project, Dr. Ortega led a needs assessment, development of an implementation plan, and deployment of an Amazon Web Services (AWS) cloud-based analytic platform with a Tableau Online user interface to automate ACHP’s reports via a web scraper data preparation pipeline. As co-lead for the SDOH Action Tool, Dr. Ortega led the development of a framework for selecting and operationalizing SDoH research measures and the user interface design.
Dr. Ortega’s doctoral research developed a conceptual GIS model to understand the relationship between where people live and childhood obesity prevalence. For this work, he constructed and analyzed a nested dataset of SDoH data for millions of individual records and over 300 candidate variables which were parsed using a random forest machine learning algorithm and tested using a 10-fold cross-validation.
Prior to AIR, Dr. Ortega was a senior policy analyst at the Center for Elders’ Independence, a Program of All-Inclusive Care for the Elderly (PACE) provider.
Ph.D. and M.P.H., Environmental Health Sciences, UC Berkeley School of Public Health; B.A., Psychology (Neuroscience Track); Yale University