Tech Talk: Leveraging Natural Language Processing (NLP) to Uncover Insights from Hospital Patient Feedback: Transforming patient comments into actionable improvements
Thursday April 9, 2026 from 12:00-1:00pm
Virtual Teams Presentation
Leveraging a structured, AI‑driven methodology, this work applied advanced Natural Language Processing (NLP) to more than 40,000 free‑text patient comments, transforming raw narratives into meaningful insights across six focused improvement initiatives: sleeping, cleanliness, linens, noise from roommates, temperature control, bed comfort, and hospital‑acquired pressure injuries. Through sentiment analysis, thematic modeling, and rule‑based classification, the methodology opened the black box of patient feedback, enabling clinical and operational teams to understand not only what patients were saying, but why issues were occurring and where they were most pronounced.
By converting unstructured comments into clear themes, campus‑specific and unit‑level patterns, and evidence‑based priorities, this work provided leaders with the clarity needed to target improvements where they would have the greatest impact. It now supports patient‑experience committees, in driving focused, data‑informed enhancements that elevate the quality, comfort, and overall experience of care across ChristianaCare.
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: 238 738 836 336 38
Passcode: Qu6N4Xx6
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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.