In the Field
TrackThe Referrals That Didn't Come Back
A smaller, single-location breast imaging facility performing approximately 3,750 mammograms a year was in the process of acquiring a new MRI unit. The purchase was already moving forward. What the administration needed to decide was whether to include the breast coil accessory — the component that would allow the facility to perform breast MRI on-site rather than continuing to refer those patients to outside locations.
To inform that decision, radiology administration asked a practical question: how many patients were currently being referred outside the facility for breast MRI? It was framed as a volume question — the kind that gets raised in a planning discussion and usually gets answered with a rough estimate. No one suspected it would surface a retention problem. They brought it to Mammologix.
Using the facility's patient tracking records, Mammologix conducted a structured review covering a two-year period. The report was completed in one business day. It identified the number of patients referred out for breast MRI, the ordering providers driving those referrals, and — critically — whether those patients had returned to the original facility for any subsequent care after the breast MRI was completed elsewhere.
The referral volume was significant. But that wasn't the finding that changed the conversation.
The more consequential finding was in the return data. A meaningful number of patients referred out for breast MRI did not come back. Once they left the facility to have the study performed at another location, some of them did not return to the original care pathway. From a tracking standpoint, those patients were effectively lost — not documented as declined or transferred, simply no longer present in the facility's ongoing breast imaging records.
The facility had been operating under the assumption that referring out for breast MRI was a temporary logistical arrangement — patients would leave, get the study done, and return. The tracking data showed that assumption had a gap in it. For a portion of referred patients, the referral was the last documented interaction.
With that data in hand, the administrative discussion shifted. The question was no longer simply whether there was enough volume to justify the breast coil. It was whether the facility was losing patients it had already established a clinical relationship with — and whether that loss had any bearing on the accessory decision already before them.
A volume question had become a patient retention question. The data supported adding the breast coil.
The facility moved forward with the breast coil at the time the MRI unit was acquired and began offering breast MRI services on-site. The patients who had been lost to competitor MRI facilities did not return — they had established care elsewhere and stayed there. But the outbound referral stream stopped. Patients who would have been sent out were now kept in. The leakage ended.
That outcome is worth naming precisely. The tracking data did not recover the patients already gone. What it did was prevent the same thing from happening to the next group — and give the facility a factual basis for a capital accessory decision that had previously rested on a volume estimate alone.
Tracking data rarely answers only the question it was asked. Done correctly, it surfaces the question behind the question — the one that turns out to matter more.