Dr. Mirhaji was the former director of the Center for Biosecurity and Public Health Informatics Research at the University of Texas at Houston where he developed clinical text understanding, semantic information integration, and EMR interoperability solutions, for public health and disaster preparedness. He is an inventor with several patents covering information integration, biomedical vocabularies and taxonomy services, clinical text understanding and natural language processing, electronic data capture, and knowledge-based information retrieval. Dr. Mirhaji and his fellow researchers were awarded “The Best Practice in Public Health. He is a member of W3C working groups for application of Semantic Technologies in Healthcare and Life Sciences, and organizer and committee member for several national and international conferences on Bio-Ontologies and Semantic Technologies.
Patient-Centered Analytic Learning Machine- PALM
This talk will cover Enterprise architecture to operationally support advanced analytics, AI/ML, and big-data strategy at large scale in large integrated health systems to improve outcomes and patient experience. And Use of knowledge-graphs, ontologies, and graph analytics at scale and in real-time to provide a secured, enterprise analytic solution for learning healthcare systems.
Data science in combination with new tools help predict which patients will benefit most from health care interventions. Session contributors are representatives from medical organizations discussing various data science applications and their approaches to using data and predictive modeling to analyze and identify meaningful patterns that result in better patient outcomes.