From our partners at Duke AI Health
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AI Health Data Studios are designed for investigators who are considering working with medical data at Duke -- especially applications of machine learning and artificial intelligence -- and may not be sure where to begin. Duke early-stage investigators and campus-based researchers are encouraged to attend. The series is hosted by Ursula Rogers, Ricardo Henao, and Shelley Rusincovitch.
Weekly seminars through March go into detail on each of the data resources and introduce participants to the many experts and resources available at Duke.
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AI Health Data Studio Session 2 Working with DEDUCE and PACE
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Wednesday, February 16, 12:00 - 1:00pm Eastern
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This one-hour virtual seminar will introduce researchers to two key platforms for clinical data at Duke: DEDUCE (the Duke Enterprise Data Unified Content Explorer), a query tool for clinical data retrieval; and PACE (the Protected Analytics Computing Environment), a virtual computing space approved by Duke Health for use in analyzing health data. Learn more about PACE.
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AI Health Data Studio Session 3 EHR APIs and ECHO: A Strategy for Next Generation Data Delivery
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Wednesday, February 23, 4:00 - 5:00pm Eastern
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This one-hour virtual seminar will introduce researchers to two more advanced platforms with clinical data: the application programming interfaces (APIs) developed to provide secure access to data from the electronic health record (EHR), and the Echo data lake designed to provide efficient access to larger volumes of data. Learn more about the EHR APIs.
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AI Health Data Studio Session 4 The DIHI Data Pipeline
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Wednesday, March 2, 12:00 - 1:00pm Eastern
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This one-hour virtual seminar will introduce researchers to the Duke Health Data Pipeline, powered by the Duke Institute for Health Innovation (DIHI). The Pipeline is a foundational, fully-automated data curation tool enabling data liquidity which accelerates quality improvement, learning health, research and innovation projects. Learn more about the Duke Health Data Pipeline.
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