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One or more keywords matched the following properties of Reyes Nieva, Harry
overview I'm currently a PhD student in the Department of Biomedical Informatics at Columbia University and a Visiting Research Fellow at Harvard Medical School and Brigham and Women's Hospital in the MTERMS Research Lab led by Li Zhou, MD, PhD. My primary research area involves leveraging artificial intelligence to improve the quality and safety of patient care, support knowledge discovery, and promote health equity. Generally, my research interests concern developing and applying novel machine learning and natural language processing methods to examine and support clinical cognition and decision making; assess disease risk, presence, progression and treatment response; identify disease subtypes and biomarkers associated with important outcomes;and study the fairness, accountability, and transparency of intelligent systems in the health care setting. Prior to pursuing a career in medicine and health services research, I was a member of the Strategic Information division of the U.S. President’s Emergency Plan for AIDS Relief (PEPFAR) at Harvard University, which aimed to rapidly expand antiretroviral therapy (ART) treatment and care programs for people living with HIV/AIDS in Nigeria, Tanzania, and Botswana. As Data Quality Assurance Manager for the Nigeria country program, my focus was scale-up and transition of data quality improvement and assurance activities nationwide. In this capacity, I worked closely with in-country quality improvement, monitoring and evaluation, and clinical specialists while developing or assisting with the modification of pediatric and adult quality improvement dashboards and monitoring and evaluation tools for over 175,000 patients. My division also generated monitoring and evaluation reports for the U.S. Health Resources and Services Administration (HRSA), Centers for Disease Control and Prevention (CDC), and a United Nations General Assembly Special Session (UNGASS).
Search Criteria
  • Biomedical
  • Informatics
Funded by the NIH National Center for Advancing Translational Sciences through its Clinical and Translational Science Awards Program, grant number UL1TR002541.