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Custom app
Healthcare · Automation
Imaging follow-up recommendations
AI tracking of radiology follow-up recommendations
Follow-up recommendations in radiology reports, such as a repeat scan in six months, are tracked until ordered or closed by a clinician.
01 today
The problem
Radiologists often recommend follow-up imaging for incidental findings, such as a small nodule. The recommendation sits in the report text, the referring doctor may not act on it, and months later nobody remembers it was made.
02 the run
What the AI does
- Step 1: Reads finalised radiology reports for follow-up recommendations, using the wording your radiologists use.
- Step 2: Records the recommended test, timeframe and responsible clinician in a tracking list.
- Step 3: Notifies the referring clinician and checks whether the follow-up has been ordered.
- Step 4: Sends reminders as the due date approaches and escalates overdue items to a named coordinator.
- Step 5: Closes items when the test is done or a clinician records that it is not needed, with the reason.
paused: waiting for a person to approve
03 human in the loop
Where a person approves
Radiologists write the recommendations, and clinicians decide whether to order the follow-up. The tool tracks what was written and never adds or changes a recommendation.
04 after
What changes
Recommended follow-ups are either done or deliberately closed, rather than forgotten. Coordinators work from one list instead of searching reports.
Case studyClosing the loop on recommended follow-up scansThe rollout, what to measure, a worked example and the research behind it.see also
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