Managing a rural practice is not simply a scaled-down version of urban clinic operations. It is a distinct discipline that requires strategic agility, resource prioritization, and operational precision.
In rural settings, administrative headcount is limited, recruitment pipelines are thinner, and patient access challenges are more complex. Yet assumptions about “underutilization” often mask deeper workflow inefficiencies, scheduling constraints, or productivity barriers.
This session will focus on practical, high-impact operational levers that rural practice leaders can implement immediately. We will explore strategies to optimize scheduling templates, reduce no-shows, improve patient throughput, and accurately assess provider productivity in a way that reflects the realities of rural demand.
Participants will leave with a clear framework for identifying true bottlenecks, reallocating limited resources effectively, and strengthening clinic performance without adding significant administrative burden.
At the end of this session, participants will be able to:
- Identify the operational bottlenecks most common in rural practices, distinguishing perceived underutilization from true workflow constraints.
- Implement scheduling, access, and productivity optimization strategies that improve throughput and financial performance without expanding administrative headcount.
- Apply a practical performance framework to monitor provider productivity and clinic efficiency in a resource-constrained environment.
Q&A
The Third Next Available (TNA) measures the number of days until the third available appointment slot for a specific provider. TNA provides a more accurate picture of true access because it filters out one-off openings caused by cancellations. For example, next available appointment = tomorrow, second available appointment = tomorrow afternoon, third available appointment = 14 days from now. In this instance, your TNA is 14 days. Tracking TNA monthly can help determine whether scheduling adjustments are actually improving patient access.
Our billing specialists are supported by a structured leadership team, including two team leads, one Supervisor, and one Director. Training for billing specialists is conducted by our Supervisor and team leads to ensure consistency and expertise. Additionally, billing specialists meet weekly with leadership to review denials and identify payer-specific trends. For new coders, who are required to be certified, training is led by our Coding Lead to maintain high standards of accuracy and compliance.
Benchmarks vary significantly based on specialty, patient complexity, staffing models, and provider responsibilities. Based on the MGMA rural data (and adjusting to assume 48 weeks worked per year and four 8-hour patient facing days per week), family medicine w/o OB physicians are seeing anywhere from 8 (10th percentile) to 23 patients (90th percentile) per day. We typically like to recommend family medicine physicians see 16-22 patients per day. MGMA rural data for family medicine w/o OB physicians also shows wRVUs ranging from 2,931 (10th percentile) to 8,604 (90th percentile). Encounter and wRVU productivity expectations should be adjusted for any hospital, ED or nursing home coverage. We also recommend adjusting expectations to reflect administrative time.
This is a great question as many practices do not perform well obtaining ABNs when audited. To handle Advance Beneficiary Notices (ABNs) effectively, provider offices must integrate proactive screening tools directly into their daily workflows. If the Electronic Health Record (EHR) possesses automated medical necessity checking, it should automatically cross-reference provider orders against National and Local Coverage Determinations (NCDs/LCDs) to flag frequency limits or diagnosis mismatches in real time. For practices operating without automated EHR screening, offices must establish a manual “desktop cheat sheet” or a standardized medical necessity log of the clinic’s top 10 to 15 highest-risk services—such as specific laboratory panels, advanced imaging, or annual wellness boundaries—enabling clinical staff to quickly verify coverage rules manually when a provider places an order. Regardless of the verification method used, clinical staff or financial counselors should present the form to the patient in a quiet clinical setting before the service is rendered, ensuring the patient has adequate time to review their options without feeling rushed at check-out. To ensure the ABN is legally valid and successfully shifts financial liability to the patient upon a Medicare denial, the form must be executed flawlessly. Staff must provide a specific, plain-language reason for potential non-coverage and insert a good-faith cost estimate, as leaving these fields blank or using vague phrasing (“Medicare won’t pay”) invalidates the form. Furthermore, the patient must personally select their billing option, sign, and date the current, unexpired CMS-R-131 form. Practices must strictly avoid “blanket” ABN archiving—issuing them routinely to all patients “just in case”—as CMS prohibits this practice and will hold the provider financially responsible for any subsequent claim denials.
Coders entering charges allows for more consistency and improved coding accuracy, as well as better compliance oversight and reduced provider administrative burden. This does require strong and accurate documentation from the provider. Many organizations follow a model where the provider completes the documentation, a certified coder reviews and finalizes coding/charges, and the provider receives education when patterns are identified.
In rural primary care, we typically see panel sizes ranging from 1,200 to 1,500 patients per 1.0 FTE. Panel size depends on visit frequency, patient complexity, staffing support, access expectations and provider scope. In highly rural settings with older and more complex patients, panel sizes may be lower. The most important metrics is often panel adequacy relative to access, TNA and provider workload.
There is bell curve data in MGMA, however, since this is a paid data source, Stroudwater is unable to share this data due to copyright laws.
There is no universally accepted staffing ratio because optimal levels heavily depend on specialty, patient volume, EHR efficiency, care model, and scope of services. Many high-performing primary care practices target 1 to 2 MAs/LPNs per provider, and 1 registration/scheduling FTE per 2 to 3 providers, with additional resources allocated for chronic care management, care transitions, and quality programs. To determine if your current staffing is optimal, we recommend measuring metrics such as provider idle time, time spent on non-provider work, documentation burden, Third Next Available (TNA) appointments, and overall schedule utilization. These metrics reveal if providers are regularly performing administrative or clinical tasks that could be efficiently delegated to support staff. To justify expanding your team, practices should conduct a localized Return on Investment (ROI) analysis to evaluate how increased staffing impacts patient throughput and overall profits. When providers are burdened with documentation and rooming tasks, their hourly throughput drops. By adding a dedicated MA or scribe, a provider can often see just 1 to 2 additional patients per day. Because support staff salaries are fixed hourly costs, while provider revenue scales with volume, capturing those extra visits typically covers the new staff member’s salary within the first few slots of the week. The remaining additional visits flow directly to the clinic’s bottom line, successfully turning an increased labor expense into a net profit driver.
Absolutely. If a physician spends 0.6 FTE in clinic, 0.2 FTE in hospital and 0.2 FTE in the ED, then comparing their total wRVUs to a full-time ambulatory benchmark will significantly understate their productivity. We recommend measuring productivity within each setting when possible and normalizing clinic benchmarks to their true clinic FTE.
