BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//The Delaware CTR ACCEL Program - ECPv6.15.20//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:The Delaware CTR ACCEL Program
X-ORIGINAL-URL:https://www.de-ctr.org
X-WR-CALDESC:Events for The Delaware CTR ACCEL Program
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:America/New_York
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20250309T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20251102T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20260308T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20261101T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20270314T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20271107T060000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20260409T120000
DTEND;TZID=America/New_York:20260409T130000
DTSTAMP:20260421T162417
CREATED:20260318T190004Z
LAST-MODIFIED:20260320T120848Z
UID:7228-1775736000-1775739600@www.de-ctr.org
SUMMARY:Tech Talk: Leveraging Natural Language Processing (NLP) to Uncover Insights from Hospital Patient Feedback: Transforming patient comments into actionable improvements using AI
DESCRIPTION:Thursday April 9\, 2026 from 12:00-1:00pm\nVirtual Teams Presentation \nLeveraging 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 seven 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.   \nBy 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. \nMeet the Speaker\n \n\n\nOdai Dweekat\, PhD \nSenior Data Scientist\,ChristianaCare \nDr. 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. \n\n\n \n\n \nMicrosoft TeamsJoin the meeting nowMeeting ID: 238 738 836 336 38Passcode: Qu6N4Xx6 \n\n\n \n\nDial in by phone \n+1 302-483-7154\,\,651112315# United States\, WilmingtonFind a local numberPhone conference ID: 651 112 315#\n \n\nTo receive instructions on obtaining (1) CME credit for attendance\, please RSVP to Debra.Reese@ChristianaCare.org. \n  \n\n\n\nWork 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.
URL:https://www.de-ctr.org/event/tech-talk-leveraging-natural-language-processing-nlp-to-uncover-insights-from-hospital-patient-feedback-transforming-patient-comments-into-actionable-improvements/
LOCATION:Microsoft Teams
CATEGORIES:Tech Talk Series
END:VEVENT
END:VCALENDAR