Translating AI Into the Eye Clinic—From Models to Clinical Workflow - JAMA Network

Eye doctors are successfully embedding AI into their clinical workflows right now — not by replacing staff or rebuilding systems, but by targeting one specific bottleneck at a time. That's the lesson

Eye doctors are successfully embedding AI into their clinical workflows right now — not by replacing staff or rebuilding systems, but by targeting one specific bottleneck at a time.

That's the lesson most AI consultants won't tell you.

You've probably been there. You bought the tool, paid the monthly fee, and three months later your team still uses the old way. Not because your people are resistant — because nobody mapped the AI to an actual workflow problem first.

That's exactly what this JAMA ophthalmology study reveals. The clinics that succeeded didn't install AI broadly. They identified one repetitive, time-consuming step — like reviewing patient images — and inserted AI precisely there. Measurable improvement. Minimal disruption.

The insight transfers directly to your business.

Before you evaluate any AI tool, name the single task that eats the most time in your operation. Not a vague category — one specific, repeatable task. Then find the tool built specifically for that task. That's your first win. You'll see results within 30 days without touching anything else that works.

Start small. Prove it once. Then expand.

What's one repetitive task in your business that costs you real time every week — and have you tried automating it yet?

#AIStrategy #SmallBusiness #BusinessOperations #AIImplementation

Original Source

This Viewpoint explores the potential for integration of artificial intelligence (AI) into ophthalmology clinic workflows and shares an example of ...