About the Session

Every radiology group wrestles with the same worklist headaches: studies piling up on one list while others sit empty, STAT and ED cases competing with routine reads, specialty exams landing on generalist worklists, and after-hours coverage requiring constant manual reassignment. These inefficiencies drive uneven workloads, slower turnaround times, and radiologist burnout.  

This session shows how automated worklist routing solves each of these problems. Attendees will see how rule-based triage directs specialty and urgent cases to the right readers instantly, how RVU-aware load balancing keeps work distributed fairly across reading pools in real time, and how shift-aware routing eliminates the manual handoffs that slow down nights and weekends—all drawn from a real-world, multi-site production deployment. 

Objectives 

  • Recognize common worklist inefficiencies—such as uneven study distribution,  specialty case misrouting, and manual after-hours reassignment—and their impact on turnaround times and radiologist satisfaction 
  • Understand how automated routing separates urgent, specialty, and routine work so that STAT and ED cases never wait behind routine reads and subspecialty exams always reach the right reader 
  • Assess how RVU-aware load balancing and shift-based routing reduce burnout by distributing work based on complexity—not just volume—and by eliminating manual handoffs across day, evening, and overnight coverage 

Sponsored By

Sponsored by New Lantern
Session Number

2018

Format

Education Session

Learning Topic
Artificial Intelligence (AI)Productivity & Workflow
Imaging Specialty
Radiology
Credit Type
ARRT-RTCAMPEP-MPCECSIIM IIP-CIIP

Presented By

 

Ryan Chen

Head of Operations
New Lantern