The 5 Most Overlooked Areas in Long-Term Care

The Ganavyx Hidden Margin Playbook

The P&L tells you what happened. It rarely tells you why, and almost never tells you where to look next.

For most long-term care operators, the income statement arrives monthly, gets reviewed in a 45-minute meeting, and then gets filed. Revenue was up or down. Labor was over or under. The month closes. The cycle repeats. And somewhere in that rhythm, real money keeps disappearing, quietly, in places nobody is watching closely enough.

This is not a story about fraud or waste in the obvious sense. The facilities losing the most margin are not the ones making dramatic mistakes. They are the ones making dozens of small, structural errors simultaneously, each one defensible in isolation, each one compounding the others. A rounding error in Medicaid documentation. A staffing model that runs three aides more than census warrants. A vendor contract that auto-renewed at rates nobody renegotiated since 2019. None of it looks catastrophic on its own. Together, it can represent 4 to 7 percentage points of operating margin, which at a 100-bed skilled nursing facility running $12 million in annual revenue means somewhere between $480,000 and $840,000 walking out the door every year.

The five areas described below account for the majority of that loss at the facilities we work with most often. None of them require a technology overhaul or a complete restructuring of operations. They require attention, a disciplined process, and someone whose job it is to look.

This playbook is designed to help you identify which of these five areas represents the greatest opportunity at your facility, understand what is driving the loss in each area, and know what corrective action looks like in practice. The articles in the Ganavyx Insight Series explore each area in greater depth. This document gives you the map.

1. Payer Mix Drift

Of all the ways margin erodes quietly, payer mix drift may be the most insidious, because it looks like a census problem when it is actually a revenue problem in disguise.

Payer mix refers to the proportion of residents whose care is funded by Medicare, Medicaid, managed care, private pay, or other sources. Medicare and private pay typically reimburse at substantially higher rates than Medicaid. A facility that maintains a Medicare census of 18 to 22 percent will almost always outperform, on a per-bed basis, a facility with an equivalent total census but a Medicare mix of 10 to 12 percent.

The drift happens gradually. A facility builds a reputation for taking complex Medicaid long-term care residents, which is good and necessary work. Referral sources at local hospitals start to think of the facility primarily for that population. The short-stay, post-acute rehabilitation census, which drives Medicare and managed care revenue, quietly declines as a percentage of the whole. Nobody sounds an alarm because the building stays full. Occupancy looks fine. The revenue-per-patient-day is falling, but that number does not appear on the front page of most management reports.

Operators who manage this well treat payer mix as a strategic variable, not a passive outcome. They track weekly Medicare admissions alongside total admissions. They maintain active relationships with hospital discharge planners and case managers who influence referral decisions for short-stay patients. They know which diagnosis-related groups generate the highest Medicare reimbursement under PDPM and they make sure their clinical team is set up to care for those patients well.

What the numbers look like. Moving from 10 percent Medicare days to 16 percent at a 120-bed facility can add $600,000 or more annually in net revenue, without adding a single bed or changing the total census number. That arithmetic assumes an average Medicare rate of roughly $525 per day versus a blended Medicaid rate of $215, which are reasonable approximations for many Northeast and Mid-Atlantic markets. The actual impact depends on your specific rates, but the directional effect is consistent across markets: Medicare mix is one of the most powerful levers available to a long-term care operator.

The referral relationship investment. Facilities that successfully grow their Medicare census do not do it by accident. They invest deliberately in the relationships that drive short-stay referrals, hospital discharge planners, case managers, orthopedic surgeons, and cardiologists whose patients often qualify for skilled nursing rehabilitation. They make it easy for those referral sources to send patients by maintaining clear admission criteria, responsive intake processes, and consistent communication about bed availability. They track which referral sources send the most Medicare patients and they allocate relationship management time accordingly.

The clinical readiness factor. Higher-acuity Medicare referrals, patients recovering from joint replacements, cardiac events, strokes, or complex wound conditions, require clinical programs that not every facility has built or maintained. The facilities that want to grow Medicare census need to honestly assess whether their clinical capabilities match the patients they want to attract. Investing in wound care certification, cardiac telemetry capability, or IV therapy competency is an operational expense with a well-defined revenue return when those capabilities open up referral categories that were previously closed.

2. Medicaid Rate Leakage

Most nursing facility administrators understand that Medicaid rates are set by the state. What fewer understand is how much of the rate calculation depends on data the facility itself submits, and how often that data understates the true cost of care.

State Medicaid reimbursement methodologies vary, but the majority use a cost-report-based system in which each facility's historical costs, as reported on the annual Medicaid cost report, form the basis for future rate setting. If costs are underreported, the rate goes down. If legitimate costs are excluded because the accounting team did not know they were allowable, the rate goes down. If allocation methodologies between cost centers are set up incorrectly, the rate goes down.

There is also the question of acuity capture. Under most modern Medicaid rate structures, facilities receive higher payments for residents with greater care needs. The acuity assessment, which is typically tied to the MDS (Minimum Data Set), must accurately reflect what the clinical team is actually doing. When documentation is incomplete, when assessments are late, or when nurses are not trained to capture the full scope of interventions they perform, the facility systematically receives less money than it has earned.

The cost report problem. The Medicaid cost report is among the most financially consequential documents a nursing facility submits each year, and among the most commonly prepared without expert review. The standard approach in most facilities is to have the accountant prepare it using the same methodology used in prior years, which preserves consistency but perpetuates any errors or suboptimal choices made in prior years as well. Allowable costs that were never claimed remain unclaimed. Allocation methodologies set up in 2015 remain in place regardless of whether the facility's cost structure has changed in ways that would warrant a different approach.

A professional review of the cost report, comparing current practices against what the state methodology would allow, consistently identifies recoverable revenue. The magnitude varies by state and by how long the current approach has been in place without review, but improvements of $10 to $25 per Medicaid resident per day on prospective rates are not unusual findings.

The MDS accuracy problem. A sampling review of MDS documentation at a typical 150-bed facility will often find that 8 to 15 percent of residents are coded at a lower acuity level than their actual care needs would support. The causes are usually process-related rather than intentional: assessments completed from memory rather than from careful record review, diagnoses not coded because the physician note used terminology that the MDS coordinator did not recognize as matching a codeable condition, Section GG functional scores that reflect what the resident is assumed to be able to do rather than what was observed during the three-day assessment window.

Correcting these problems, prospectively and with proper clinical documentation, can increase Medicaid revenue by $200 to $400 per resident per month for the affected population. Add to that the cost report improvements that are achievable in most facilities, and the total addressable opportunity in Medicaid reimbursement optimization is frequently $300,000 to $600,000 per year at a mid-size facility. It is also one of the most defensible margin improvements available, because it is simply a matter of being paid accurately for the care already being delivered.

3. Labor Model Misalignment

Labor is the largest expense category in long-term care, typically representing 65 to 75 percent of total operating costs. It is also the category where the gap between what operators track and what actually drives cost is widest.

Most facilities monitor total labor cost, total hours, and overtime as their primary labor metrics. These are necessary measures, but they are insufficient. They tell you the total bill. They do not tell you whether the staffing model itself is structured correctly for the census and acuity you are actually serving.

The core issue is that most facilities run on fixed staffing templates, where a certain number of CNAs, nurses, and ancillary staff are scheduled per shift regardless of daily variation in census or care intensity. When census drops from 112 to 96 residents over three weeks, the schedule often does not adjust proportionally. Floor nurses who are supposed to manage 18 residents are managing 13, but the facility is paying for 18 worth of labor. When a particular unit has a cluster of high-acuity residents requiring more intensive care, the staffing does not flex up, so staff are overwhelmed and quality suffers even though the labor budget is technically being met.

The agency cost multiplier. For facilities that rely on agency staffing to fill open shifts, the cost premium is substantial, typically 40 to 80 percent above the fully loaded cost of an employed staff member doing the same work. But the invoice rate understates the true cost significantly. Agency workers require orientation time from permanent staff, make more documentation errors, and are unfamiliar with residents in ways that increase incident risk. When those indirect costs are included, the fully loaded cost of an agency shift is typically 40 to 65 percent above the invoice rate. A facility spending $60,000 per month on agency invoices may be incurring $85,000 to $100,000 in total agency-related cost when indirect effects are counted.

The turnover trap. Agency dependency and employee turnover reinforce each other in a cycle that is expensive to maintain and relatively straightforward to break once the mechanism is understood. Facilities with high agency usage experience lower permanent staff morale, which drives higher turnover among permanent staff, which requires more agency coverage, which further erodes morale. Breaking the cycle requires addressing compensation competitiveness and scheduling quality simultaneously, not sequentially. The facilities that have done this successfully are among the highest-performing in the sector on labor cost metrics, which is a direct result of having invested in the conditions that allow employed staff to stay.

The productivity gap. Studies in long-term care settings consistently find that clinical staff spend 20 to 30 percent of their time on tasks that do not require their licensure level: pulling medication carts that CNAs could manage, doing paperwork that could be done by clerical staff, hunting for supplies that should be at point of care. Every hour a registered nurse spends on administrative tasks is an hour of RN compensation spent on non-RN work. At scale, recapturing even half that time either expands capacity or reduces the need for additional hires.

4. Vendor Spend Without Leverage

The average skilled nursing facility works with somewhere between 40 and 80 vendors. Food service. Linens. Medical supplies. Therapy. Pharmacy. Housekeeping chemicals. Waste removal. Pest control. Maintenance contracts on equipment and systems. Most of these relationships were established years ago, often by people who no longer work at the facility, and most of them have been renewed on autopilot ever since.

This is not a criticism of administrators or business office managers, who have enough to do without conducting a comprehensive vendor audit every year. It is an observation about what happens structurally when vendor management receives no dedicated attention. Pricing drifts upward with each renewal. Contract terms that made sense years ago no longer match current usage patterns. Volume discounts that the facility qualifies for are never requested. Alternative vendors who might offer better pricing are never evaluated.

The high-impact categories. Medical supplies and disposables, pharmacy services, therapy staffing, and food service are the four categories that combine to represent 15 to 25 percent of a facility's total non-labor operating expense. In medical supplies, the leverage point is almost always volume aggregation and contract renegotiation. In pharmacy, the key variable is the spread between drug acquisition cost and what the facility is billed, a spread that is often undisclosed and consistently negotiable. In food service, a detailed price analysis against competitive bids on the facility's highest-volume items routinely reveals 12 to 20 percent in achievable savings.

The compounding effect of inattention. The financial mathematics of vendor contract drift are unfavorable in ways that are not obvious without looking at the data. A contract with a 3 percent annual price escalation clause, signed seven years ago at a price that was already 5 percent above market at that time, is now costing the facility roughly 26 percent more than a new contract would cost at current market rates. Across a vendor base of 40 to 80 relationships, the cumulative effect of this drift on total non-labor expense is material.

What a structured review returns. Across all vendor categories, the discipline of doing a structured review every 24 months, with competitive bids on any contract above $50,000 annually, consistently generates savings of 8 to 14 percent on total non-labor expense. At a facility with $3 million in annual vendor spend, that is $240,000 to $420,000 per year in recoverable cost, at a one-time investment of management time that is small relative to the return.

5. Revenue Cycle Gaps

Revenue cycle management in long-term care gets discussed less than it does in the acute care world, where the complexity of hospital billing has driven an entire industry of specialized vendors and consultants. In nursing facilities, billing can appear more straightforward, which leads some operators to assume it is more or less working.

It rarely is, completely.

Claims denials. The gaps in long-term care revenue cycle tend to concentrate in a few areas. Medicare and managed care claim denials occur when a claim is rejected by the payer, either because of a documentation issue, a coding error, an authorization lapse, or an eligibility problem. In a well-run billing operation, denial rates on Medicare claims should be below 3 percent. At facilities with less oversight, denial rates of 8 to 12 percent are common. Each denied claim either requires rework and resubmission, or gets written off as uncollectable. The second outcome is direct, permanent revenue loss.

Managed care underpayment. Facilities that have accepted managed care contracts without carefully tracking actual rates against contracted rates are frequently underpaid without knowing it. Managed care organizations have complex billing systems that sometimes apply incorrect rates, particularly for higher-level care or ancillary services. Without systematic reconciliation of remittance advice against contracted fee schedules, these underpayments accumulate silently. At facilities doing meaningful managed care volume, underpayment recovery through systematic remittance review commonly identifies $50,000 to $150,000 in legitimate, recoverable payments.

Private pay collections. Private pay residents who fall behind on monthly statements represent both a financial and a relationship problem. The financial issue is accounts receivable aging: balances more than 90 days old become progressively harder to collect and often end up as bad debt. Facilities that have a structured approach to early financial counseling, initiating a conversation with family members about financial situation and Medicaid eligibility before a resident is 60 or 90 days past due, both collect more effectively and create a better experience for families navigating a difficult situation.

Charge capture gaps. In facilities where charge capture is done manually or semi-manually, therapy charges, ancillary services, and supply charges are frequently undercaptured. Residents receive services that never make it onto a bill. This is not intentional; it reflects systems that rely on human memory and paper processes to capture billable events, which will always miss some percentage of what should be charged.

A Note on Benchmarking

One of the most reliable ways to identify where a facility is leaving money on the table is systematic benchmarking against comparable facilities. The challenge is that most operators do not have good benchmarking data because they have not sought it out, and because state-level data, while publicly available through CMS cost report files, requires significant effort to clean and interpret.

The metrics worth benchmarking, at minimum: revenue per patient day by payer category, labor cost as a percentage of net revenue, agency labor as a percentage of total labor, productive nursing hours per patient day, food and dietary cost per patient day, pharmacy cost per patient day, and days in accounts receivable. For each of these, there is a meaningful spread between the top quartile of performing facilities and the median, and a larger spread between the top quartile and the bottom.

An administrator who knows that their labor cost as a percentage of revenue is at the 75th percentile of the peer group has specific and actionable information. They may be running a legitimate model that warrants that staffing level. Or they may have a structural inefficiency that accounts for the difference. Either way, the benchmark prompts the right question. Without it, the number looks like the number it has always been, and nobody thinks to ask.

State associations, regional operators, and advisory firms that work across multiple facilities are the most accessible sources of sector-specific benchmarking data. CMS also publishes cost report data publicly through its Healthcare Cost Report Information System, which with appropriate technical support provides a rich source of peer comparison data.

Putting It Together

These five areas do not exist in isolation from each other, and their financial effects compound. A facility losing margin through payer mix drift is also likely to be underresourcing its billing operation, because less Medicare revenue means less cash to invest in the administrative function. A facility over-reliant on agency labor is likely to see higher staff turnover, which erodes consistency in MDS documentation and drives Medicaid acuity capture errors. The problems feed each other.

The facilities that address them successfully tend to share a few characteristics. First, they have someone, internally or through an outside advisory relationship, whose explicit job is to look at these issues systematically and regularly, not just when a crisis makes them visible. Second, they treat financial performance as an operational discipline rather than an accounting exercise. The administrator who understands payer mix, monitors labor productivity, and reviews vendor contracts is not doing an accountant's job. That person is managing the business.

Third, they use data at a level of granularity that most management reports do not provide by default. Average daily census by payer is not enough; you need admissions by payer by referral source by month to understand where the trend is going. Total labor cost is not enough; you need productive hours per resident day by unit by shift to understand where the model is misaligned. Total vendor spend is not enough; you need spend by vendor against contracted prices to see the gap.

The good news is that none of this requires a large capital investment or a wholesale change in how the facility operates. It requires looking in the right places, with the right metrics, with enough regularity that problems are caught before they become structural. Most of the margin that is hiding in a long-term care facility has been hiding in the same places for years. It is waiting to be found.