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How AI-powered follow-up transforms adherence, connecting radiologists, providers and patients to improve outcomes.
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average follow-up adherence across ~3M studies (JACR)
of every 100 studies carry a follow-up recommendation
average return on completed recommended studies
patient touchpoints to schedule, down from six
Follow-up recommendations are where the arithmetic of imaging stops being one order, one appointment, one result. What the published adherence data shows, and what can be done about it.
What the studies show
Published adherence rates across modalities, and how far apart they are.
The clinical lens
What a missed follow-up means for the patient, from the radiologist's seat.
The operational lens
Who owns the recommendation once the report is signed, and how it gets tracked.
Where AI helps
Turning a recommendation into a task that somebody actually closes.
The two episodes before this one.
Follow-up recommendations are where the arithmetic of imaging stops being one order, one appointment, one result. What the published adherence data shows, and what can be done about it.
See it on your own workflows