Responsible clinical data sharing for predictive models
Lucila Ohno-Machado's research is on the evaluation of data-driven predictive models in the context of clinical medicine, as well as responsible clinical data sharing for research. Privacy-enhancing technologies, combined with policies, can be used to decrease the risk of patient or study participant re-identification from shared records. Additionally, federated learning techniques can be combined with immutable ledger technologies to ensure fair, transparent use of clinical data for research. Ohno-Machado has assembled large networks of medical centers to harmonize their electronic health record data and help answer research questions.
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Biography
Ohno-Machado was born and educated in Brazil. She received her medical degree from the University of São Paulo. After her residency, she earned a PhD in medical information science (with a minor in computer science) at Stanford. She was assistant and then associate professor of radiology at Brigham and Women's Hospital and faculty at Harvard-MIT Health Sciences and Technology Division until 2009 when she moved to found the Division of Biomedical Informatics at the University of California San Diego. In 2023, Ohno-Machado came to Yale to found the Department of Biomedical Informatics and Data Science. She was editor-in-chief of JAMIA for eight years.