Patient Tracking & Follow-Up
Explore patient tracking, follow-up workflows, overdue case visibility, documentation, and audit-ready tracking resources for breast imaging teams.
Explore patient tracking, follow-up workflows, overdue case visibility, documentation, and audit-ready tracking resources for breast imaging teams.
Talk to usTracking is not compliance paperwork -- it is the closed-loop feedback mechanism that measures interpretive accuracy, identifies care gaps, and creates the conditions under which early-stage cancers are found before they progress. Here is what the MQSA floor requires and what robust surveillance adds.
The only reliable driver of patient tracking is the actual written recommendation in the report -- not the BI-RADS category or assessment label. Assessment statement and stated recommendation must be validated against each other in every case, with no exceptions.
Overdue and lost to follow-up are not interchangeable labels -- they are distinct operational states with different intervention capacity, audit implications, and navigation consequences. Keeping them separate is the foundation of any MQSA-compliant tracking system.
Breast screening access is not the finish line. Data from high-performing systems like Finland, Sweden, and Norway reveal why keeping women in the screening cycle over time matters as much as getting them there in the first place.
In breast imaging, tracking is often treated as one operational task. This framework organizes 36 tracking modalities into a practical closed-loop quality infrastructure for breast imaging centers.
A breast imaging practice told 3,686 women after a normal 2022 mammogram to come back in a year — then followed every one of them forward through May 2026. Two findings stand out: among the women who returned, the annual rhythm is genuinely strong. And a large, quiet group did not come back at all.
A foundational pillar guide that walks through the core ideas behind safe, repeatable workflow design — written for the people doing the work.
In 1895, Wilhelm Röntgen's accidental discovery of X-rays marked a transformative moment in medical history.
Breast cancer risk assessment is undergoing a revolution, driven by the convergence of traditional medical models and cutting-edge artificial intelligence (AI).
Breast imaging is transforming as researchers explore new methods to interpret mammograms more efficiently and accurately. Given the demands of a high-volume, high-stakes field, innovations that can streamline workflows while improving diagnostic accuracy are crucial.
Integrating artificial intelligence (AI) into breast cancer screening could radically shift how we detect and manage the disease. The standard approach has been universal for decades—inviting women to regular, one-size-fits-all mammograms.
Would you like to tap into a goldmine of essential resources for your breast imaging practice, all offered at no cost? Then read on!
Breast cancer continues to be a leading health challenge among women globally, making early detection through mammography not just beneficial but essential.
Mammography plays a pivotal role in the early detection of breast cancer, and it's crucial to obtain all radiologist-recommended follow-up imaging so a complete diagnosis can be made for the patient.
In March 2014, a movie adapted from the Electronic Arts video game, The Need for Speed, appeared in theaters. It's an action-packed story about a mechanic who becomes involved in an underground racing circuit's cross-country race.
The Importance of Using the Indicator of Volume in the Mammography Medical Outcome Audit Mammography plays a crucial role in detecting and diagnosing breast cancer.
One of the interesting observations we've made in dealing with hundreds of practices is while so much of what goes on at each breast imaging location is the same, there is also a broad array of differences.
Our team has supported breast imaging centers since 1995. If it's not here, we probably know the answer.