Primary care workflow still slows lung cancer screening referrals
Lung cancer screening depends on more than a guideline and a low-dose CT scanner. It depends on whether primary care teams can identify eligible patients, document smoking history accurately, and move a referral through a system that is already carrying too many competing demands.
A qualitative study from an urban U.S. health system examined how lung cancer screening fits into routine primary care and where the process breaks down. The work focused on providers and staff in Jefferson Health, which uses a hybrid model: primary care teams begin the process, while a dedicated screening program carries much of the downstream work. Interviews with 10 providers and staff members exposed a familiar problem in modern preventive care. The clinical pathway exists, but the labor behind it remains unevenly distributed.
One sentence captures the operational strain: physicians often compressed shared decision-making discussions and relied on the specialized program to finish the protocol.
Smoking history, eligibility checks, and referral steps are split across roles
The interview data showed a clear division of labor. Medical assistants documented smoking status, physicians assessed eligibility, and physicians made referrals. On paper, that sequence appears orderly. In practice, each step introduced a chance for incomplete documentation, uncertainty about criteria, or a delay in moving the patient forward.
Providers generally knew that lung cancer screening was recommended, but several had gaps in the finer details, including age thresholds and smoking history requirements. Those details matter because eligibility for screening hinges on exact risk parameters rather than broad clinical intuition. If pack-years are unclear or quit dates are missing, the patient may never reach the screening program even when screening would be appropriate.
The study also found variation in referral practice. Even with different habits at the point of care, many providers preferred sending patients to the dedicated lung cancer screening program. The reasons were practical and revealing: limited visit time, confidence in the structure of the specialized program, and a more streamlined follow-up process after referral. In other words, the referral destination was not just a clinical choice. It was a workflow strategy designed to protect the primary care visit from overload.
Shared decision-making is compressed when clinic time runs short
Shared decision-making remains central to lung cancer screening, yet the interviews suggested that it is often abbreviated in real-world primary care. Physicians did not necessarily reject the concept. They simply lacked the time to carry out a complete, detailed conversation during a standard visit and leaned on the screening program to complete the process.
This is where screening programs can either rescue a workflow or expose its fragility. When the downstream pathway is reliable, primary care clinicians may feel comfortable making the referral even if they cannot complete every component themselves. When the pathway is fragmented, the patient can fall through a gap between the primary care office and the specialty program. The hybrid model studied here appears to reduce some of that friction by giving clinicians a clear off-ramp for the more time-intensive pieces of screening coordination.
The arrangement also reflects a broader truth about preventive care delivery. Screening rates rarely rise because clinicians simply “remember more.” They rise when the system makes the correct action easier than the incorrect one.
Documentation quality emerged as a bottleneck with downstream consequences
Poor or incomplete smoking documentation was one of the most concrete process barriers identified in the interviews. If smoking history is recorded inconsistently, eligibility screening becomes unreliable before the patient even reaches the referral stage. That creates a double burden: clinicians must first reconstruct the risk profile, then act on it within a limited visit window.
Electronic health records could do more of this work, and providers in the study said so directly. They emphasized the need for better EHR support to assist with eligibility checks, referral placement, counseling prompts, and timely follow-up. They also called for better integration of lung cancer screening quality metrics. Those metrics can change behavior only when they are visible in the workflow where the decision is made, not buried in a separate dashboard that rarely reaches the exam room.
A stronger EHR could also reduce the cognitive load on primary care teams. When eligibility criteria are embedded in the record, the system can flag patients who meet age and smoking thresholds, prompt documentation of quit date and pack-years, and route the encounter toward the appropriate next step. Without that support, the screening process remains dependent on memory, habit, and spare minutes that many clinics do not have.
Centralized support may improve screening uptake without isolating primary care
The study points to a balanced model rather than an all-or-nothing redesign. Purely decentralized screening, in which every step must be completed within primary care, may be too burdensome. Purely centralized screening, in which primary care disengages, risks weakening patient identification and follow-through. The hybrid approach described here combines primary care engagement with centralized program support, and that combination may be the most workable path for busy urban systems.
The clinical logic is straightforward. Primary care clinicians are best positioned to identify eligible patients during routine visits and initiate the conversation. Dedicated screening programs are better positioned to manage the complex logistics after referral, including coordination and follow-up. When the two components are linked by a structured pathway, screening can move from an abstract recommendation to an executable process.
One of the clearest implications of the study is that lung cancer screening quality is shaped as much by infrastructure as by clinical intent. Education alone will not fix a workflow that requires clinicians to perform too many manual steps under time pressure.
Knowledge gaps persist even when guideline awareness is present
The interviews revealed a subtle but important disconnect: general awareness of screening guidelines did not eliminate uncertainty about the specifics. Providers may know that screening is recommended, yet still struggle to apply the criteria precisely enough to avoid missed opportunities. That gap can delay referrals, reduce completion, and limit the reach of a preventive service that depends on accurate case-finding.
For health systems, the findings argue for targeted provider education rather than broad reminders. Education should focus on the exact eligibility rules, the mechanics of documenting smoking history, and the practical steps that convert a screening recommendation into an actual completed scan. Paired with EHR decision support and a reliable referral pathway, that kind of training could reduce both cognitive burden and process variation.
The study did not measure screening rates or clinical outcomes. Its value lies elsewhere: it maps the workflow itself and identifies where primary care teams lose time, certainty, or momentum. In an urban health system that already uses a hybrid model, the next gains are likely to come from making eligibility checks more automatic, documentation more complete, and referral pathways more uniform. The barrier is no longer whether lung cancer screening should happen. The barrier is whether the system can make it routine enough to happen consistently.