New Lantern unifies the worklist, viewer, and reporter into one seamless system where every component talks to the others. No hand-offs, nothing to reconcile, and the whole experience is configured around how you want to read.
At SIIM 2026 in Pittsburgh, The Imaging Wire's Brian Casey sat down with Ryan Chen, New Lantern's Head of Operations, to discuss how the company approaches this challenge.
Within the worklist, New Lantern uses agentic AI to eliminate cherrypicking, uneven exam loads, and the manual work of building a shift. Rather than clicking through assignment rules one at a time, an administrator can describe what a shift needs in plain English, such as capping RVUs, routing stats to the top, or filtering by subspecialty.
The agent builds the worklist view and routing from that description. The agent is deliberately limited to worklist tasks and isn't given the run of the rest of the system. That boundary matters as much as the automation itself.
Hear more from Ryan Chen in the Interview with The Imaging Wire:
New Lantern unifies the worklist, viewer, and reporter into one seamless system where every component talks to the others. No hand-offs, nothing to reconcile, and the whole experience is configured around how you want to read.
At SIIM 2026 in Pittsburgh, The Imaging Wire's Brian Casey sat down with Ryan Chen, New Lantern's Head of Operations, to discuss how the company approaches this challenge.
Within the worklist, New Lantern uses agentic AI to eliminate cherrypicking, uneven exam loads, and the manual work of building a shift. Rather than clicking through assignment rules one at a time, an administrator can describe what a shift needs in plain English, such as capping RVUs, routing stats to the top, or filtering by subspecialty.
The agent builds the worklist view and routing from that description. The agent is deliberately limited to worklist tasks and isn't given the run of the rest of the system. That boundary matters as much as the automation itself.
Hear more from Ryan Chen in the Interview with The Imaging Wire:
