January 7, 2026

Webinar: UAMS’ AI Playbook for Capacity Lift & Fewer Cancellations, January 21
Manual, fragmented pre-admission testing strains perioperative teams and the operating room. Phone tag for histories, missing documents and late risk discovery all drive day-of-surgery delays, idle rooms and staff burnout. Leaders need a faster more reliable way to prepare patients without adding FTEs.
University of Arkansas for Medical Sciences (UAMS) reworked its pre-admission testing model with AI-enabled workflows to give each nurse an assistant for information gathering, risk flagging and follow-up tasks. The result: a 50% increase in PAT nurse capacity, a 25% reduction in surgical cancellations and a 60% drop in manual document processing time.
In this session, Tammy Jones, PhD, RN, chief nursing officer and associate vice chancellor for patient care services and clinical operations at UAMS, will detail how her team changed the work, not just the tools. She will be joined by Andrew Fisher, MD, assistant professor of anesthesiology at the Medical University of South Carolina to discuss perioperative governance, clinical criteria and integration considerations.
Learnings include:
- How to supercharge pre-admission testing programs with AI,
- How to successfully implement an AI solution, ensuring staff and integration into existing workflows, and
- How to use AI to enhance staff productivity and optimize patients before surgery.
Cost: Free
When: Wednesday, January 21, 1:00 p.m. – 2:00 p.m.
Click Here to Register




