A larger breast imaging network operated multiple imaging centers across a multi-county suburban region. All facilities were part of the same healthcare organization. All of them ran on the same EMR. Staff at any location could pull up a patient record from any other location in the system.
On paper, this looked like a solved problem. In practice, patients were disappearing, and no one could see it happening.
The follow-up data existed. It was spread across the enterprise, siloed by site, with no continuity between locations. A patient who received a follow-up recommendation at one facility and returned at another was not generating an alert anywhere. She was not appearing on anyone's overdue list. She was simply absent from the picture, and the gap was completely invisible until someone looked for it across all sites at once.
Access to a patient's record is not the same as tracking whether the patient completed follow-up.
Patients in a suburban commuting area are mobile. A screening mammogram at one facility, a diagnostic follow-up at another because it was closer to work: within the same network, entirely routine. But follow-up tracking organized by location has no mechanism for stitching those interactions together. The EMR showed what had happened at each site. It did not tell anyone whether the patient's care pathway, taken as a whole, was intact or broken.
The most acute version of this problem involved self-referred patients: 14% of the network's screening population had scheduled their own mammograms without a physician referral. When a self-referred patient received a recommendation for additional imaging, there was no ordering physician to loop in, no referring practice to notify, no outside clinical relationship carrying any follow-up obligation. If the breast imaging program did not track her, no one did.
From the initial request to a fully operational cross-facility tracking model: 24 hours.
Mammologix built a tracking model that followed the patient, not the location. As patients moved through the network, Mammologix tracked whether recommended follow-up was completed, where it occurred, and whether the patient remained within the network's breast imaging pathway or had fallen out entirely. The self-referred population was identified and monitored as a distinct subset, the group where the risk of a gap was highest and the safety net was thinnest.
The organization shared what they had learned with their EMR vendor. The vendor acknowledged the problem. But the data management this required (cross-site, patient-level, continuous follow-up tracking) was outside what the EMR could execute. The system that held all the records could not do what needed to be done with them.
What the tracking model produced, for the first time, was clarity. In the words of the Breast Practice Manager:
"The biggest improvement was clarity. We could distinguish between patients who completed follow-up at another site, patients who went outside the network, and patients who had not returned at all."
Three categories. Three different clinical and operational responses. Before the cross-facility model, all three looked the same, like silence.
An EMR is a records system. Breast imaging follow-up tracking is an operational process. The two are not substitutes for each other, and organizations with both still need someone managing the space between them.