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Tech Talk: How AI and Data Science are Being Implemented at ChristianaCare: Case Studies
Thursday November 6, 2025 from 12:00-1:00pm
Virtual Teams Presentation
This presentation explores how AI and data science are being actively implemented at ChristianaCare to drive innovation, improve patient outcomes, and enhance operational efficiency. Through a series of real-world case studies, attendees will gain insight into the practical application of machine learning, natural language processing, forecasting, and statistical modeling across diverse healthcare challenges. Projects include predictive models for post-operative kidney injury, maternal discharge delays, patient experience analysis, HAPI prediction, baby delivery forecasting, and more. The talk will highlight both deployed and in-development solutions, showcasing measurable impact and lessons learned.
Meet the Speaker
Odai Dweekat, PhD
Senior Data Scientist
ChristianaCare
Dr. Odai Y. Dweekat is a Senior Data Scientist at ChristianaCare, specializing in AI-driven healthcare innovation. With over a decade of experience in machine learning and advanced analytics, he leads initiatives that improve clinical outcomes and operational efficiency. His work includes predictive modeling for AKI, HAPI, cancer readmission, and patient experience analysis using NLP. Dr. Dweekat holds a PhD in industrial and systems engineering from SUNY Binghamton and a MSc in operations management from the University of Birmingham. He is a published researcher and frequent presenter at national conferences.
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Meeting ID: 232 449 381 449
Passcode: Py7Q8s4b
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+1 302-483-7154,,512631687# United States, Wilmington
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To receive instructions on obtaining (1) CME credit for attendance, please RSVP to Debra.Reese@ChristianaCare.org.
Work supported by an Institutional Development Award (IDeA) from the National Institute of General Medical Sciences of the National Institutes of Health under grant number U54-GM104941 (PI:Hicks) and the State of Delaware.
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