Margarita Sordo is a Senior Medical Informatician, and an Instructor of General Internal Medicine and Primary Care, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School. She holds a MSc. in Artificial Intelligence from The University of Edinburgh, UK and Ph.D. in Computer Science and Artificial Intelligence from The University of Sussex, UK.
Her research interests include application of knowledge elicitation and representation techniques in biomedicine and healthcare; biomedical ontologies; artificial intelligence and machine learning techniques for knowledge discovery.
Current work focuses on the application of complex adaptive systems to model patient characteristics and preferences to evaluate the impact of determinants of health and public health policies on individual health.
Previous work includes the design and development of knowledge-based models aligned with prevailing standards to support enterprise-wide integration of Clinical Decision Support with existing clinical applications. GELLO, a language for representation and encoding of healthcare and clinical knowledge for decision support approved as an international standard by Health Level Seven, Inc. (HL7), and by the American National Standards Institute (ANSI) (2005); Postmarketing surveillance for tracking medication-related complications in patients at Partners Healthcare. Principal analyst and implementer of eRecommendations for Clinical Decision Support sponsored by the Agency for Healthcare Research and Quality (2010-2011).