Duke AI Health is pleased to launch the AI Health Data Studio Seminar series this spring. This multi-part educational offering is designed for campus-based researchers at Duke who are interested in working with medical data but are unsure where to begin.

Duke AI Health’s mission is to harness the power of artificial intelligence, machine learning, and related quantitative fields for the benefit of medical research, healthcare delivery, and the health of individuals and communities. The series is also supported by the Duke +Data Science program, a campus-wide educational initiative devoted to expanding knowledge of and facility with machine learning and other artificial intelligence tools across multiple academic fields.

The multi-part Data Studio seminar series will begin with an overview presented by AI Health Senior Informaticist Ursula Rogers, who has 25 years of experience in data management and software development. In her role at Duke AI Health, she brings expertise in understanding, extracting and curating data from electronic health records (EHRs) and other sources of clinical data to support clinical research, quality improvement, and operations. Read more about Ms. Rogers’ experience of working with medical data in her blog post When Data Meets the Real World.

Additional individual sessions will feature data experts from across the Duke enterprise. Hosted by Ms. Rogers, Chief AI Health Scientist Ricardo Henao, PhD, and Associate Director of Informatics Shelley Rusincovitch, MMCi, the series builds on the successful AI Health Proposal Studios and extends structured opportunities for investigators to engage with Duke’s top data science expertise and thought leadership.

Campus-based researchers are especially invited to attend the AI Health Data Studio Seminar series this spring, along with anyone interested from the Duke community, including faculty, staff, and students.