A recommended imaging exam matters only when a patient can complete it. Yet follow-up can be lost between a radiology report, a busy clinical team, and a patient unsure what to do next. RADNAV® helps radiology practices identify lapsed follow-ups, coordinate outreach, and track completion. By making the next step easier to see and act on, RADNAV can support preventive health and earlier detection work that may make a life-changing difference for patients.
For U.S. imaging centers, radiology groups, and health systems, follow-up is both a care-continuity and an operational challenge. Manual tracking is difficult to sustain across high volumes, locations, and care pathways. RADNAV, ImagineSoftware’s AI-enabled patient follow-up solution, is designed to help close that gap.
Why Patient Follow-Up is Essential to Preventive Health
Preventive health includes what happens after a test. A screening or diagnostic exam may identify a finding that needs another image, a closer look, or a later check. Completing recommended follow-up gives the care team a chance to assess change and determine next steps.
When follow-up is delayed, a potentially important finding may go unassessed. Not every missed appointment causes harm, and not every imaging finding signals disease. But timely follow-up gives clinicians the opportunity to evaluate findings and, for some patients, detect disease earlier. In breast health, for example, a recommended imaging appointment may help evaluate risk or clarify an abnormal result.
Follow-up also supports trust. Patients may be unsure what a result means, when to return, or who is arranging the next appointment. Clear communication can reduce confusion and help patients participate in care, while reassuring referring clinicians that recommendations are being tracked.
ImagineSoftware’s RADNAV patient follow-up solution is built around this practical need: identify patients who have not completed recommended care, engage patients and care teams, and help close the loop for imaging centers.
Why Follow-Up Gaps Happen
Missed follow-ups are not simply a matter of motivation. Patients may not understand a recommendation, have difficulty scheduling, or face transportation, work, cost, language, or access barriers. Messages can be missed, contact details outdated, or patients may assume no news means no action is needed.
Staff may rely on report queues, spreadsheets, calls, or memory to find and contact patients. These steps compete with scheduling, registration, billing, and other work. As volumes rise, it becomes harder to know who still needs outreach, who responded, or who completed the exam elsewhere. A recommendation can fall between organizations despite everyone’s good intentions.
Leaders may lack a consistent way to answer basic questions: How many recommendations are outstanding? Which patients have not been reached? Where do communication or scheduling breakdowns occur? Without reliable answers, teams cannot focus effort or measure improvement.
How RADNAV Supports a More Reliable Process
RADNAV applies automation and AI to organize follow-up work at scale. The platform can identify lapsed patients and follow-up recommendations, use intelligent reminders and tailored communications to engage patients and care teams, and provide analytics to monitor activity. It is designed to integrate with revenue cycle management systems, connecting follow-up operations with the broader practice workflow.
This can move practices from reactive searches to a repeatable process. A follow-up program can surface cases needing attention and support outreach based on the practice’s workflow. Automated communication can remind patients about next steps, while staff can focus on cases needing personal attention or escalation.
A reminder alone cannot remove every barrier. Patients may need help understanding instructions, arranging a visit, or connecting with a clinician. Automation can handle routine steps and make unresolved cases easier to see, so teams can focus human support where it is most needed.
RADNAV’s role is coordination, not clinical judgment. It helps operationalize follow-up recommendations made by qualified clinicians; it does not diagnose a patient, interpret a scan, or replace a clinician’s decisions. The care team remains responsible for the recommendation, clinical communication, and any next steps.
From Reminders to Measurable Quality Improvement
A structured follow-up workflow creates information that practices can use to improve. Teams can examine outreach activity, patient response, completed exams, and patterns across locations or referral sources. RADNAV can help organizations track recommendations, document communication, and connect completed follow-up exams with operational and financial performance.
Documentation gives teams a record of the identified recommendation, outreach, and exam completion. It can support quality oversight and reveal workflow gaps, while complementing clinical policies and direct communication when needed.
ImagineSoftware reports examples of improved adherence after implementation. In one example breast MRI follow-up adherence increased from 50% to 87%, while a separate large imaging organization reported capturing more than 15,800 additional exams over ten months and over $3 million in additional revenue. These are reported organizational results, not a guarantee of what another practice will achieve. They illustrate how finding patients who need follow-up and making outreach more consistent can affect both care completion and practice performance.
Preventive Care in Women’s Health
Women’s health shows why follow-up should reflect the recommendation rather than send a generic message. Breast imaging may call for additional views, a diagnostic study, or later surveillance. Patients benefit from clear next steps and a practice that can track completion.
RADNAV supports workflows such as breast cancer screening follow-ups and risk-assessment-based outreach, according to ImagineSoftware’s women’s health and RADNAV webinar. Tailored messaging can help make the action understandable and relevant, while tracking helps staff identify patients who may need additional assistance. A personalized workflow is especially useful when a practice serves patients with different screening histories, risk factors, or care pathways.
Outreach must follow privacy, consent, and communication policies. Automation can give teams a dependable way to begin the conversation and see when a patient has not been reached or scheduled.
Supporting Pay-for-Performance and Value-Based Care
Follow-up completion can also support performance programs that reward measurable quality improvement. Payers and health system partners may ask provider organizations to demonstrate progress with consistent data and reporting. This can be difficult when information is scattered across systems and staff must assemble results manually.
The RADNAV Advantage white paper explains how automated identification, communication, and analytics can help organizations turn follow-up activity into measurable performance information. RADNAV can help organize data on recommendations and completion, giving practices a foundation to evaluate care gaps and prepare reports for performance-based programs. Contract requirements vary, so organizations should confirm each payer’s measures, documentation rules, and reporting standards.
Automated patient follow-up can support patient retention, continuity of care, and performance-based programs. By measuring quality workflows, healthcare leaders can see where to focus resources and whether changes help more patients complete recommended care.
A Practical Way to Close the Loop
For radiology practices, the case for follow-up is clear: recommended care has value only if patients can reach it. A reliable program needs an organized way to identify due patients, communicate the next step, support scheduling, document outreach, and review completion. RADNAV is designed to bring those tasks into a coordinated workflow, helping practices find patients who may otherwise be overlooked.
When a patient completes a recommended exam, clinicians can evaluate findings and guide next steps. This may contribute to earlier detection and, in some cases, more effective treatment. No technology can promise an individual outcome, but a consistent process can help prevent avoidable gaps in care.
By combining reminders, tailored communication, analytics, and workflow integration, RADNAV targets a specific problem: too many patients do not complete the follow-up their care team recommended. It gives imaging centers a practical tool to reach lapsed patients, see where the process is breaking down, and make preventive care easier to complete. For patients and practices alike, closing the loop is a meaningful step toward safer, more connected care.
Frequently Asked Questions About RADNAV and Patient Follow-Up
What is RADNAV?
RADNAV is ImagineSoftware’s AI-enabled patient follow-up solution. It helps imaging practices identify lapsed follow-up recommendations, coordinate patient and care-team outreach, and monitor completion through analytics.
How can patient follow-up support preventive health?
Follow-up helps patients complete imaging or screening recommended after an earlier exam. Timely completion gives clinicians the information needed to evaluate findings and determine appropriate next steps, which may support earlier detection of disease.
Does RADNAV make clinical decisions?
No. RADNAV supports the operational process for clinician-recommended follow-up. Qualified clinicians remain responsible for interpreting results, making recommendations, and deciding on patient care.
Can RADNAV help practices measure follow-up performance?
RADNAV provides analytics that can help teams monitor recommendations, outreach, and completed follow-up exams. Organizations can use those insights to review adherence and workflow performance, subject to their systems and program requirements.
Can RADNAV guarantee that patients will complete follow-up?
No. Automation can support timely, consistent outreach and make unresolved cases more visible, but patient response and access depend on many factors. Practices still need staff involvement and escalation pathways for cases that require additional help.
