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AI agent for radiographers

Image Reject Analysis Agent

Lower reject rates and patient dose

Image Reject Analysis Agent: what goes in, what the agent does and what you get

What it does

Each rejected or repeated X-ray gives the patient extra dose and costs room time. This agent reads reject logs from each room and groups rejects by reason, such as positioning, motion, exposure or artifact, and by body part, room and shift. It calculates reject rates and compares them with the target and last month. When a rate is high, it finds the main cause and drafts a short teaching note or an equipment check request. The imaging lead approves any action. The next month it checks whether the rate fell. If it did not, it tries the next likely cause or escalates to the imaging lead. Edge case: rejects labeled test or QC are removed before calculating, so they do not inflate the rate.

How it works

Follow the arrows from top to bottom. The orange dashed arrow is the loop: when a check fails, the agent goes back and tries again.

Start and resultWhat it doesA check on its own workWaits for your OKGoes back and retries
ApprovedYes, continueNo 1 STARTS WHEN Month ends 2 USES A TOOL Read reject logs and exam counts 3 DOES Calculate rates by reason, room and body part 4 DOES Draft actions for high rates 5 YOU APPROVE Imaging lead approves actions 6 CHECKS THE RESULT Did rates fall next month? If not: try the next cause or escalate. Back to step 3. 7 RESULT Reject report
Read the steps as a list
  1. Month ends
  2. Read reject logs and exam counts
  3. Calculate rates by reason, room and body part
  4. Draft actions for high rates
  5. Imaging lead approves actionsThe agent waits here for your OK.
  6. Did rates fall next month?If not: try the next cause or escalate. Back to step 3.
  7. Reject report

How it decides

Rates above target by room or body part are investigated by top reason.

  • Target under 8% overall
  • QC images excluded
  • Equipment causes go to physics

Make it yours

Every agent is a starting point. You choose these settings for your own situation.

  • Target rate
  • Grouping
  • Report format
  • Recipients

What keeps you in control

It always asks you first

  • Training actions
  • Equipment checks

Hard limits

  • No blame of individuals in reports

It stops when

  • Done: report issued
  • Stop: logs missing, ask PACS admin

Set it up

We guide you through the set-up, step by step

Members get the full set-up guide for this agent. No technical skills needed: you copy, paste and upload.

10 minto set it up in your AI
5 AIsChatGPT, Claude, Copilot, Gemini, Grok
  • One set of instructions to paste into your AI, with the clicks for ChatGPT, Claude, Microsoft 365 Copilot, Gemini and Grok
  • The agent then walks you through connecting your own data, one source at a time
  • A downloadable copy with the flow chart, the rules and the full guide
Get access to this agent

An example run

What happensFor January, the agent read reject logs from 4 rooms. Room 2 had an 11 percent reject rate for chest X-rays against an 8 percent target, mostly positioning on night shift. Its first check found 30 entries with no reason code, so it looped back and asked the room lead to code them. The rate held at 10.5 percent. Lead radiographer Sara Diaz approved a night shift positioning refresher.

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