Skip to main content
APIC25 Annual Conference & Expo Main banner
Final Program


APIC25 Brochure

Quality Assurance and Performance Improvement

Session: ePoster Presentation

QAPI 120 - Rule-based Artificial Intelligence to Target Earlier Identification of Patients with Clostridioides Difficile: A Quality Improvement Project

Monday, June 16, 2025
1:31 PM - 2:00 PM PT
Location: Kiosk 7
Disclosure(s):
Peggy Leung, MSN, RN: No financial relationships to disclose
Virginia A. Becker, MPH, BN, RN, CIC: Inovalon: Employment (full or part time) (Ongoing)
Haley Davis, BSN, RN: No financial relationships to disclose
Deborah Sumantri, MPH: No financial relationships to disclose
Sarah Burgos, RN, MSN, CIC: No financial relationships to disclose
Joan Kramer, PharmD, BCPS, DPLA: Inovalon: Employment (full or part time) (Ongoing)

Learning Objectives:

  • Identify factors to include in rule-based artificial intelligence to identify patients with potential Clostridioides difficile earlier in a hospital stay.
  • Describe quality improvement strategies to implement for targeted Clostridioides difficile patient identification.
  • State strategies for determining if implemented rule-based artificial intelligence and quality improvement activities result in earlier identification of Clostridioides difficile infection, and a change in isolation practices.