Indexed for illustrative purposes only.
Values reflect charge dollars and cash collection dollars relative to 2021.

"The relationship we have created with Health Prime allowed us to successfully implement changes in how we operate our revenue cycle, eliminating revenue leakage, decreasing denial rates, and increasing first pass yields to over 92%."

- Bruce Kline, Practice Administrator

The post Case Study: Hospital Pathology Associates – Driving Growth Through Partnership appeared first on Health Prime.

When enhanced ACA subsidies were set to expire at the end of 2025, Health Prime examined how rising ACA premiums could translate into downstream disruption within the revenue cycle. Now, as 2026 progresses, early data and operational trends are confirming many of those concerns.

The impact is no longer abstract. The combination of expired subsidies and steep premium increases has led to affordability pressures that are already reshaping coverage behavior in ways that directly affect independent and hospital-based physician groups around the country. Across the 800+ physician groups we support, we are seeing similar patterns emerge in day-to-day revenue cycle operations.

The numbers behind the disruption

Early indicators point to a meaningful shift in enrollment and coverage stability, which introduces immediate operational instability.  

• Average ACA premiums have increased approximately 26%, with some patients also seeing substantially higher out-of-pocket costs compared to prior years.
• ACA enrollment has declined by roughly 10%.
• Recent data suggests that approximately 14% of enrollees failed to make their first premium payment.

Together, these trends signal growing instability in coverage continuity and patient financial responsibility. For physician practices, this translates into greater uncertainty at the point of access, where coverage and payment assumptions have become less reliable.

What’s actually happened since subsidies expired

Three major trends are emerging across markets and specialties.

1. Coverage volatility has increased.
   Patients are moving more frequently between insured, underinsured, and uninsured statuses as premiums rise and coverage parameters change. This constant change increases the likelihood of eligibility errors, misclassified accounts, and delayed reimbursement when coverage information is not verified early and often.
2. Patients are delaying or foregoing care.
   New data from KFF shows that more than 35% of adults have postponed or skipped needed health care in the past 12 months due to cost. As coverage drops or becomes less affordable, practices are experiencing downstream impacts on routine preventative services, elective procedures, and diagnostic imaging.
3. Financial pressure on providers is accelerating.
   Industry estimates suggest hospitals and physician groups could collectively experience tens of billions of dollars in lost revenue tied to increased uncompensated care, delayed services, and slower collections as coverage declines. These pressures are especially pronounced for practices serving a higher proportion of marketplace or lower-income patients.

Collectively, these shifts have changed where financial risk first appears and how quickly it compounds across physician group operations.

Where disruption is showing up first

Coverage verification challenges are increasing as patients switch plans, miss premium payments, or lose coverage entirely. Front-end inaccuracies are cascading into higher denial rates, delayed cash flow, and increased revenue leakage later in the billing process.

At the same time, patient balances are becoming less predictable and more difficult to collect. Even patients who remain insured are more likely to carry higher deductibles or coinsurance levels, increasing variability in what is owed and raising the risk of delayed or incomplete payment. This requires revenue cycle teams to communicate financial expectations earlier in the encounter than many workflows were designed to support.

These issues compound quickly. When eligibility is unclear or patient responsibility is not addressed until after services are rendered, the probability of timely, full collection drops significantly – creating increased risk of downstream revenue leakage.

Revenue cycle takeaway:
Physician groups should reassess where they concentrate revenue cycle oversight. As coverage volatility rises, front end functions like eligibility verification and financial clarity deserve the same level of attention historically reserved for denials and back end collections.

Manual workflows struggle in volatile coverage environments

Rising premiums and coverage churn don’t just increase financial risk – they push issues further downstream, where they become harder to correct. When coverage status changes frequently and patient responsibility is harder to predict, manual workflows introduce delay, inconsistency, and rework.

Revenue cycle technology that is embedded directly into front‑, mid‑, and back‑end workflows can help practices identify issues earlier, prioritize the right work, and reduce downstream disruption. While automation and analytics do not eliminate complexity, they make it visible sooner – when it is still actionable.

Revenue cycle takeaway:
Physician groups should evaluate which processes rely on manual or individual intervention rather than continuous, system-driven visibility into performance and coverage changes. In practice, achieving that level of visibility often requires outcome-driven technology, embedded analytics, and more structured support across front-end workflows such as coverage verification, prior authorization, and patient financial clearance – whether built internally or delivered through a specialized revenue cycle partner.

Revenue cycle adjustments that reduce risk now

Rather than broad transformation, practices are finding the most success by tightening parts of the day-to-day billing operations where coverage volatility creates the most exposure.

1. Reprioritize the front-end of the revenue cycle
   As coverage stability declines, earlier stages of the patient financial workflow carry greater financial risk. Prioritize coverage verification and early financial clarity, as these have a disproportionate impact on downstream performance
2. Improve visibility into emerging risk
   It’s important to focus on early indicators such as eligibility accuracy, denial trends, and A/R movement, as they provide faster insight into disruption than traditional financial reporting. Monitoring early indicators allows issues to be addressed before they compound.
3. Design workflows for variability, not stability
   Financial workflows built for predictable coverage patterns are less effective in the current environment. As variability increases, prioritize workflows that emphasize consistency, adaptability, and earlier identification of issues to better manage ongoing disruption.

What this means for the rest of 2026

Whether enhanced subsidies are revisited later this year or not, one reality is already clear: coverage instability is now a defining feature of the revenue cycle environment.

Practices that treat these changes as temporary disruptions risk compounding operational strain and financial exposure. Those that respond by strengthening front-end accuracy, improving financial transparency, and tightening revenue cycle processes earlier in the patient journey will be better positioned to maintain stability through the rest of 2026.

Utilizing technology and automation can provide revenue cycle teams with the speed, consistency, and visibility required to operate in an uncertain environment. For many practices, this might mean finding a revenue cycle partner with a technology platform that can operate at scale with embedded automation and actionable analytics. Practices that prioritize this technology are better equipped to adapt workflows, allocate resources, and maintain financial stability.

The predictions from December still holds true – but the urgency is higher now. Rising ACA premiums are no longer a forecasted risk. They are an active operational challenge, and the revenue cycle is where it hits the hardest.

Health Prime can optimize your physician group’s revenue cycle by providing embedded technology, actionable analytics, and structured support across front-end workflows. To learn more, please send us an email or visit us at hpiinc.com.

Lindsey Garwood has over 15 years of healthcare administration experience supporting physician practices and revenue cycle operations. At Health Prime, Lindsey focuses on improving front- and back-office processes, helping organizations strengthen operational performance, and adapt to evolving financial and coverage dynamics. 

The post How Rising ACA Premiums Are Shifting Financial Risk for Physician Groups appeared first on Health Prime.

What’s often frustrating for cardiology practices is that denials rarely stem from a single mistake. Instead, they’re usually the result of multiple factors, including documentation, coding, payer behavior, and timing. Understanding why cardiology denials occur is the first step towards reducing them.

Below are several of the most common drivers of cardiology denials, as well as best‑practice considerations practices can use to shift from a reactive denials approach – to a proactive denial prevention process.

Prior authorizations: where cardiology denials really start

Prior authorization requirements are one of the most significant contributors to cardiology denials, particularly for advanced imaging and diagnostic studies such as nuclear stress tests, cardiac CTs, and MRIs. As authorization processes become more restrictive and automated, cardiology practices are finding that even clinically appropriate services face heightened scrutiny when documentation or payer criteria fall short.

It’s widely understood that an authorization number alone does not guarantee payment. For example, cardiology groups frequently see advanced imaging claims denied even when authorization was obtained because the clinical documentation did not clearly align with the payer’s medical‑necessity criteria at the time the service was rendered. In practice, a stress test may be appropriate, but if the record does not explicitly reflect required symptoms, prior conservative treatment, or payer‑specific indications, the claim remains vulnerable.

This risk is compounded when payer rules change mid‑cycle. Services authorized under one set of criteria may still be denied if requirements shift between scheduling and claim submission, often forcing teams into a reactive scramble after the denial arrives.

The underlying challenge is that prior authorizations are often treated as a scheduling task rather than a clinical and financial risk point. Practices that consistently reduce authorization‑related denials tend to take a different approach – treating prior authorizations as an ongoing compliance process, not a one‑time checkpoint. By routinely validating documentation against payer‑specific criteria and monitoring authorization‑related denials, they can identify gaps early and reduce avoidable denials before claims are ever submitted.

What proactive authorization management looks like in practice:

• Authorization is treated as a clinical‑billing handoff, not an isolated task.
  High‑performing practices align authorization workflows tightly with clinical documentation, ensuring medical necessity is clearly supported at the point of care, not reconstructed after a denial.
• Payer requirements are tracked by service, not memorized by staff.
  Rather than relying on institutional knowledge, practices maintain visibility into payer‑specific authorization rules for high‑risk cardiology services and update workflows as those rules change.
• Authorization performance is monitored, not assumed.
  Services that consistently require prior authorization are flagged and reviewed regularly to identify emerging denial patterns before they show up in A/R.

Inclusive and same-day service rules: common cardiology traps

Few billing challenges frustrate cardiology practices more than denials tied to same‑day or “inclusive” services. When a patient has an office visit and also receives an EKG or other diagnostic test on the same day, payers often take a closer look at how those services relate to each other. In some cases, payers assume that deciding to order and review a diagnostic test is already part of the test itself, and they may deny payment for the office visit unless it’s clear that additional, separate evaluation work took place.

These same‑day combinations are especially vulnerable to denials – not because care was unnecessary, but because payer systems often apply automated bundling logic before a full clinical review occurs. To complicate matters further, payer bundling rules vary by plan and can change without much notice. Even when services are medically appropriate, insufficient documentation or inconsistent modifier usage can trigger denials.

As a result, cardiology practices face a difficult balancing act: underbilling can leave legitimate revenue uncollected, while overbilling can increase denial rates and compliance risk. In cardiology, inclusive billing rules aren’t just a technical issue – they’re a recurring operational risk that can quietly erode revenue, increase rework, and strain already limited staff resources.

How experienced practices reduce same-day service risk:

• Same‑day services are reviewed through a payer lens, not just a clinical one.
  Practices proactively evaluate common E/M‑plus‑diagnostic combinations to understand where payer bundling logic is most likely to apply – and where documentation must clearly support separate, identifiable work.
• Documentation standards are clarified before denials occur.
  Instead of relying on modifiers alone, high‑performing groups ensure providers understand what additional evaluation or decision‑making must be documented when billing same‑day services.
• Same‑day denials are trended, not treated as one‑offs.
  Regular review of same‑day denial activity helps practices identify payer‑specific behavior patterns and adjust workflows accordingly.

Rapidly changing coding, coverage, and payer rules

Cardiology is a fast‑evolving specialty, with new procedures, devices, and medications introduced regularly. Coverage, coding, and payment policies, however, often lag behind clinical innovation, creating gaps that leave practices vulnerable to denials. In this environment, CPT codes may remain unchanged even as medical necessity definitions shift, coverage can vary significantly from one payer to the next for the same service, and documentation expectations continue to evolve year over year.

As a result, staying current requires more than annual training or occasional updates – it requires ongoing translation of payer policy changes into day‑to‑day documentation and coding decisions. Billing teams must continuously monitor payer policy changes, stay aligned with clinical workflows, and proactively adjust documentation expectations as rules evolve. Practices that struggle here often aren’t doing anything “wrong” – they’re simply operating in a landscape where clinical innovation moves faster than coverage, coding, and reimbursement rules can keep up.

What it takes to keep pace with constant change:

• Education is continuous, not calendar‑driven.
  Practices move away from annual coding updates and instead provide targeted, ongoing education tied to new cardiology services, devices, and evolving coverage criteria.
• Policy monitoring is operationalized.
  Payer updates that affect cardiology services are reviewed routinely and translated into workflow or documentation changes, rather than living in reference documents.
• Coding, documentation, and compliance stay aligned as rules evolve.
  Cross‑functional alignment ensures changes in coverage or medical necessity don’t create downstream gaps that lead to preventable denials.

Denials aren’t the problem; it’s a lack of visibility

One of the biggest challenges in cardiology denial management isn’t the denial itself, but the lack of insight into why it happened. Without visibility into denial patterns by payer, CPT code, service type, or provider, practices are forced into a reactive cycle that includes fixing the claim, submitting an appeal, and moving on to the next denial. Over time, this approach drains staff resources, delays cash flow, and fails to address the root causes driving repeat denials.

This is where data becomes a powerful ally – not just for reporting, but for identifying repeat denial drivers and preventing them upstream. Data-driven analytics can help practices confirm patterns, quantify financial impact, and pinpoint when and where denial trends begin. When used intentionally, these tools don’t just report what happened – they give organizations the insight needed to recognize issues earlier and respond with control rather than urgency.

The overall goal of denial management isn’t simply to win appeals. It’s to use visibility and insight to prevent the same denials from happening again.

What strong denial prevention looks like in practice:

• Denials are analyzed as signals, not interruptions.
  Mature practices look beyond denial volume and examine patterns by payer, CPT code, service type, and provider to understand why denials occur – not just how many.
• Analytics drive prioritization, not just reporting.
  Dashboards and reporting tools are used to quantify financial exposure, identify repeat denial drivers, and focus attention on the issues that create the most downstream impact.
• Insights are pushed upstream.
  Denial trends inform proactive improvements in documentation, coding, and front‑end workflows, reducing the likelihood that the same denials recur.

Moving from reactive to proactive denial management

Cardiology denials will never disappear entirely. The specialty’s complexity, volume, and pace of change make that unrealistic. However, practices that understand the underlying drivers of denials are far better positioned to reduce risk, protect revenue, and ease administrative strain.

When cardiology practices focus on prior authorization alignment, inclusive and same‑day service rules, continuous monitoring of payer and coverage changes, and root‑cause analysis, they are shifting from a reactionary mode to a prevention mode.

This shift doesn’t just improve reimbursement – it gives clinical and administrative teams more time to focus on what matters most: patient care.

Health Prime can optimize your group’s revenue cycle, provide analytic transparency, improve denial management, and support strategies for growth. To learn more, please send us an email or visit us at hpiinc.com.

The post Why Cardiology Denials Are So Persistent: Common Triggers and Smarter Prevention Strategies appeared first on Health Prime.

Why reimbursement uncertainty demands a new approach

Reimbursement pressures show up in many forms: increased denials, expanded prior authorization requirements, downcoding, delayed payments, and policy changes that add operational complexity. These challenges impact practices of all sizes and specialties and are often compounded when multiple changes occur at once.

What makes the situation more difficult is timing. A claim can be clean when it leaves your system and still be vulnerable to record requests, reprocessing, or delayed payment weeks or months later. By the time lagging indicators appear in financial reports, the impact may already be significant.

A repeatable framework for navigating reimbursement shifts

While no organization can control external reimbursement forces, the most resilient groups share one defining trait: they respond faster, more deliberately, and with greater confidence when conditions change.

One effective way to approach reimbursement uncertainty is through a simple, easy-to remember framework called SCORE, which can be applied to any change that impacts reimbursement. The purpose behind SCORE isn’t to predict every shift, but to ensure your organization has a disciplined way to recognize change early, understand exposure, and respond with intention.

1. S – Spot the change

When you first encounter a reimbursement shift, the first step is deceptively simple: identify what has actually changed.

Reimbursement issues are often discussed in broad terms, like rising denials or slower payments. Meaningful action, however, depends on specificity – identifying exactly what has changed: an increase in medical record requests, new authorization requirements, or shifts in payment timing or payer behavior.

Once the change is clearly defined, data becomes a powerful ally. Analytics, reporting tools, and dashboards can help confirm patterns, quantify impact, and establish when the shift began. When used intentionally, these tools don’t just report what happened, they help organizations recognize change early enough to respond with control rather than urgency.

The key question at this stage is simple but critical: What specifically changed?

2. C – Connect the change to financial exposure

Once a change is identified, the next step is to understand where it creates financial risk.

Not every reimbursement issue impacts the organization in the same way. Some changes affect revenue directly through lower payments or non‑payment. Others strain cash flow by slowing reimbursement timelines. Some increase the cost to collect by requiring more staff time, appeals, or documentation. Still others introduce operational friction that indirectly impacts financial performance.

This step isn’t about solving the problem yet. Instead, it’s about understanding where pressure will be felt first if the change continues. Common areas of financial exposure include:

• Revenue: Reduced or delayed payment
• Cash flow: Longer days in accounts receivable
• Cost: Higher effort or expense to get paid
• Operations: Workflow or staffing strain that impacts finances

The guiding question here is: If this change continues, where will we feel the pressure first?

3. O – Identify options that are realistic

After you’ve linked a change to financial risk, you can start identifying realistic options.

It is important this step be very grounded around realistic options – things that can be successfully implemented based on your size, resources, and current constraints.

Realistic options may include targeted workflow adjustments, short‑term monitoring, payer escalation strategies, or leveraging existing relationships with managed care or provider relations teams. In some cases, the most prudent option is to gather more data before acting – a watch-and-wait monitoring approach – that can help your organization avoid the risk of solving the wrong problem.

The key question to ask during this step is: What options are realistic right now – and what isn’t?

4. R – Respond with small, flexible moves

As soon as your organization has reviewed its realistic options, it’s time to respond with small, flexible moves.

In periods of uncertainty, large, irreversible decisions can amplify risk. Small, targeted adjustments – especially those that are low‑cost and reversible – allow organizations to reduce exposure while preserving flexibility.

Effective responses often focus on areas with outsized impact, such as high‑volume services, high‑value claims, or known payer policy pain points. Examples include refining claim edits, standardizing workflows for common denials, or proactively educating providers on documentation or coding changes.

These moves don’t require major investment, but they can meaningfully reduce financial pressure while buying time to assess broader trends.

The critical question for this step is: What’s the smallest change we can make right now to reduce risk?

5. E – Evaluate and adjust

Reimbursement conditions rarely stabilize for long, which makes evaluation an ongoing discipline rather than a final step.

Organizations should establish a regular review cadence, typically monthly or quarterly, to assess what’s working and what isn’t. Importantly, this evaluation should focus on early indicators, such as denial trends, payment lag reports, and utilization shifts, which often signal the need to adjust before financial results fully reflect the full impact. During this step, analytics, reporting tools, and dashboards can provide insight and help with decision-making.

If an approach isn’t producing the intended result, or if payer behavior changes again, teams must be prepared to pivot or course‑correct without delay.

At this stage, organizations should ask: What’s working and what should we adjust next?

The takeaway: control the response, not the change

Reimbursement change is inevitable. Financial instability doesn’t have to be.

Organizations that build resilience don’t rely on one‑time fixes or heroic efforts. They rely on repeatable frameworks that bring structure to uncertainty and discipline to decision‑making.

By consistently spotting change early, connecting it to financial exposure, evaluating realistic options, responding with small flexible moves, and adjusting as conditions evolve, healthcare organizations can respond faster, limit disruption, and navigate reimbursement shifts with greater confidence – no matter what comes next.

For many organizations, sustaining this kind of response is easier with the right support. For example, an experienced RCM partner can help teams identify changes earlier, translate data into actionable insight, and implement practical responses without overburdening internal staff. More importantly, the right partnership provides perspective – helping organizations respond with discipline and confidence rather than reacting under pressure.

Health Prime can optimize your group’s revenue cycle, provide analytic transparency, and support strategies for growth. To learn more, please send us an email or visit us at hpiinc.com.

The post Preparing for the Next Reimbursement Shift: A Practical Framework for Financial Resilience appeared first on Health Prime.

Get to know our new dashboards

Practice Summary:

Get an at-a-glance graphical window into practice performance over a rolling 13-month period with our summary dashboard. Prior year and rolling month average trends are easy to see in this powerful view of charge, payment, payer mix, and aging AR trends.

Payer Performance:

Enhance your ability to manage payer performance with a dashboard that tracks critical KPIs including net collection rate, denial rate, non-contractual adjustment rates, and days in AR per financial class. This view allows radiology practices to rank their payer partners in terms of ease of collectability.

Service Volume:

Identify top revenue center and provider performers in terms of service volumes, units, scan type, anatomy scanned, and minutes, as well as important trending metrics like pay per service, pay per unit, units per service, and minutes per scan. Use these insights to understand and gain deeper visibility into how specific services at various locations are affecting your bottom line.

Month-Over-Month KPI Summary:

Monitor trends with color-coded data for each month comparing projected values. This actionable data lets practices know immediately whether performance is within 5% of the expected variance on services, units, minutes/hours, charges, payments, refunds, adjustments, collection rates, ending AR balance, and days in AR.

Prior & Current Year-To-Date Comparison by Modality:

Dive deep into performance metrics with this dashboard that includes a detailed breakdown of practice performance by service modality. Detailed practice performance information is included on American College of Radiology modalities, as well as all sub modalities, with visibility down to the CPT code level.

The post Radiology Analytics Dashboards appeared first on Health Prime.

The key is to turn daily operational and financial data, such as CPT codes billed, claims submitted, and payments posted, into actionable metrics: coding and billing trends, payer performance, service volume analysis, and benchmarks across financial and operational performance. Knowing which metrics to focus on allows leaders to make informed decisions that move the needle for your practice.

Below are some of the most important metrics pathology practices should be monitoring closely.

1. Practice-level performance

Practice-level analytics provide leadership with a high-level, longitudinal view of how the organization truly performs over time. At this level, visibility into charges, payments, payer mix, and aging AR allows leaders to assess the overall financial health of the practice and identify early warning signs before they become larger problems. For example, a stable case volume paired with declining payments may indicate payer mix shifts, while growing AR balances could point to collection inefficiencies.

Key practice-level metrics typically include:

• Charges and payments tracked over a rolling period
• Payer mix and shifts in reimbursement sources
• Aging AR and changes in AR composition
• Comparisons to prior year performance and rolling averages

When viewed together, these metrics help leaders answer critical questions such as whether revenue changes are driven by volume, pricing, or payer behavior – and whether recent performance shifts represent short-term disruptions or longer-term trends.

2. Understanding payer performance

Not all payers behave the same, and pathology practices often feel those differences more acutely than other specialties. Variability in reimbursement, denial behavior, and payment timeliness can significantly impact cash flow and operational stability. Without clear visibility into payer performance, these issues can be difficult to quantify and address.

Payer performance analytics allow pathology leaders to evaluate payer relationships objectively. By analyzing trends over time, practices can distinguish between isolated issues and systemic payer behavior that requires action. This level of insight is critical for understanding where revenue leakage is occurring and why.

Key payer performance metrics typically include:

• Net collection rate by financial class or payer
• Denial rates and denial trends over time
• Non-contractual adjustment rates
• Days in accounts receivable by payer

When viewed together, these metrics help practices assess the true cost to collect for each payer. Over time, patterns emerge that reveal which payers consistently delay or deny payment, where contract terms may no longer align with current utilization or coding complexity, and whether issues stem from internal workflows or external payer policies. This insight is especially valuable when preparing for payer discussions, prioritizing contract reviews, or deciding where to focus denial management and follow-up efforts.

3. Service volume and utilization

In pathology, volume alone rarely tells the full story. Two practices with similar specimen counts can have very different financial outcomes depending on test mix, complexity, and how services are delivered across locations. Understanding service volume within that context is essential for connecting operational activity to financial performance.

Key service volume and utilization metrics typically include:

• Service volumes by modality, specialty, and location
• Units per service and pay per unit
• Specimen types and test utilization patterns
• Reference lab utilization and associated costs

Tracking these metrics over time helps practices identify meaningful shifts in utilization patterns – whether driven by outreach growth, changes in referral behavior, or evolving clinical complexity. It also allows leaders to distinguish high-value services from those with shrinking margins, highlight changes in specimen mix that may affect staffing or turnaround times, and clarify the financial impact of outreach and referral growth.

4. Coding and CPT trends

In pathology, coding accuracy and consistency play a critical role in financial performance and compliance. Small shifts in CPT usage, modifier application, or documentation alignment can have meaningful downstream effects on reimbursement, denials, and payer scrutiny. Without visibility into these patterns, issues often surface only after revenue has been impacted or audits are already underway.

CPT-level analytics provide an essential layer of early detection, allowing practices to monitor how services are being coded over time and across the organization. Trend-based analysis helps pathology leaders understand whether changes reflect legitimate shifts in case mix or emerging inconsistencies that require attention.

Key coding and CPT trend metrics typically include:

• CPT code volumes and trends over time
• Changes in modifier usage
• Variance in coding patterns by provider, specialty, or location
• Alignment between services performed and codes billed

When analyzed together, these metrics help practices identify emerging compliance risks, uncover unintended down-coding or missed reimbursement opportunities, and pinpoint areas where additional provider or coder education may be needed.

5. Metrics and KPIs

Data becomes truly actionable when it is timely, contextualized, and easy to interpret. Month-over-month KPI monitoring gives pathology leaders a structured way to assess whether performance is tracking as expected and to quickly identify when it is not. Rather than waiting for quarterly reviews or retrospective reports, this approach supports more responsive management.

Key month-over-month KPIs for pathology practices include:

• Gross and net collection rates
• Non-contractual adjustment rate
• Denial rate
• Days in AR
• AR > 120 days

When viewed together, these KPIs help leaders quickly understand whether shifts in performance are driven by operational changes, billing issues, or payer behavior.

6. Modality and specialty performance

Analytics that break performance down to the modality and specialty level provide critical clarity. This type of detail allows pathology leaders to evaluate performance in the context of clinical complexity, reimbursement dynamics, and resource utilization, rather than relying on high-level averages that may mask underlying trends.

Key performance views typically include:

• Performance by modality and sub-modality
• Specialty-level performance comparisons
• Visibility down to the CPT code level
• Year-to-date performance compared to prior-year results

When analyzed together, these insights help leaders identify which service lines are generating sustainable growth, where margins may be eroding, and which areas may benefit from operational adjustments or strategic investment.

From metrics to meaningful decisions

The true value of pathology analytics isn’t in the metrics themselves – it’s how practices use the insights they provide. By reviewing these metrics over time through structured analytics, leaders gain actionable insights that guide operational adjustments, optimize revenue, and support strategic decision-making. When data is timely, accessible, and aligned to the realities of pathology operations, it empowers leaders to:

• Anticipate challenges instead of reacting to them
• Align clinical operations with financial performance
• Make informed decisions backed by evidence
• Manage growth with confidence

Health Prime’s pathology-specific business intelligence dashboards bring together practice-level financial trends, payer behavior, service volumes, specimen types, month-over-month KPIs and coding and CPT trends. By consolidating these metrics into a single, user-friendly view, Health Prime helps pathology leaders see what’s driving performance, prioritize attention, and take timely action.

In an environment where margins are tightening and complexity is increasing, this combination of timely data, actionable metrics, and integrated insight is no longer optional – it’s a prerequisite for sustainable, high-performing pathology practices.

Health Prime can optimize your pathology group’s revenue cycle, provide analytic transparency, and support strategies for growth. To learn more, please send us an email or visit us at hpiinc.com/pathology.

The post The Power of Analytics for Modern Pathology Practices appeared first on Health Prime.

Get to know our new dashboards

Practice Summary:

Get an at-a-glance graphical window into practice performance over a rolling 13-month period with our summary dashboard. Prior year and rolling month average trends are easy to see in this powerful view of charge, payment, payer mix, and aging AR trends.

Payer Performance:

Enhance your ability to manage payer performance with a dashboard that tracks critical KPIs including net collection rate, denial rate, non-contractual adjustment rates, and days in AR per financial class. This view allows anesthesiology practices to rank their payer partners in terms of ease of collectability.

Case Volume:

Identify top revenue center and provider performers in terms of case volumes, units, and minutes, as well as important trending metrics like pay per case, pay per unit, units per case, and minutes per case. Use these insights to understand and gain deeper visibility into how specific services at various locations are affecting your bottom line.

Month-Over-Month KPI Summary:

Monitor trends with color-coded data for each month comparing projected values. This actionable data lets practices know immediately whether performance is within 5% of the expected variance on cases, units, minutes/hours, charges, payments, refunds, adjustments, collection rates, ending AR balance, and days in AR.

Prior & Current Year-To-Date Comparison by Modality:

Dive deep into performance metrics with this dashboard that includes a detailed breakdown of practice performance by service modality. Detailed practice performance information is included on anesthesia modalities, as well as all sub modalities, including drill-in to the CPT Code level.

The post Anesthesia Analytics Dashboards appeared first on Health Prime.

We created this RCM industry report to examine the core forces reshaping revenue cycle management in 2026.

This report will help you: 

• Understand new rules reshaping reimbursement
• Explore strategies to reduce administrative burden
• Evaluate ways to manage ongoing staffing challenges
• Ask the right AI and automation questions

Download the full report below.

The post Industry Report: The State of RCM in 2026 for Independent Physician Groups appeared first on Health Prime.

These increases have downstream effects across patient behavior, benefit design, payer policies, and ultimately, the revenue cycle. For practice administrators, CFOs, and RCM leaders, understanding how these changes will affect front-end processes, reimbursement, and cash flow is essential.

Below are the key ripple effects physician groups should anticipate and the steps they can take to protect financial stability in 2026.

Short on time? Jump to the key takeaways at the end of this article for a summary of how premium increases may impact your revenue cycle and proactive steps your practice can take.

1. Growing patient financial responsibility

Premium increases frequently go hand-in-hand with higher deductibles, less generous cost-sharing structures, or plan changes that shift more financial responsibility to patients.

What it means for your revenue cycle:

• Higher likelihood of balances being pushed to patient responsibility
• Increased patient A/R and slower collections
• More demand for payment plans and financial counseling
• Greater risk of bad debt write-offs

Operational takeaway:
Front-end teams need strong cost-transparency tools, clear and standardized patient messaging, and ongoing staff training to ensure patient responsibility is communicated accurately and consistently at every touchpoint.

Beyond that, practices can strengthen preparedness by leveraging analytics to identify patients most at risk of self-pay exposure, reviewing historical collection data, and modeling the potential impact of higher deductibles on cash flow. Workflow assessments and automation guidance can help reduce eligibility and billing errors, while strategic planning ensures that financial counseling and payment plan resources are prioritized effectively.

Whether managing these capabilities internally or through a trusted RCM partner, proactively addressing these areas can reduce bad debt, accelerate collections, and maintain patient satisfaction.

As healthcare costs rise, revenue cycle performance is increasingly shaped by how well financial risk is identified and managed early in the patient journey. A preventative, front-end approach focused on accuracy, transparency, and consistent financial communication helps reduce downstream billing issues, improve cash flow predictability, and limits avoidable rework. While these efforts may introduce some additional front-end complexity, they ultimately support a better patient experience and more sustainable financial outcomes as patient financial responsibility continues to grow.

2. Increasing coverage volatility

When premiums rise, many patients shop for cheaper alternatives during open enrollment. This creates a spike in coverage transitions, terminations, and plan switches, which add strain to the revenue cycle.

Impact on physician groups:

• Increased eligibility errors from outdated insurance information
• More claims denied for inactive coverage
• Prior authorization delays due to unfamiliar plan rules
• Surge in staff time spent confirming benefits

Operational takeaway:
Instituting an enhanced insurance verification process will be critical to ensure accurate, up-to-date patient coverage information before services are rendered. Many physician groups without this in-house capability may benefit from partnering with a revenue cycle organization that can provide real-time, automation-driven eligibility verification and coverage detection. These tools lay the foundation for clean claims that result in reduced denials, delays, and costly rework.

In an environment of frequent plan changes and shifting coverage rules, eligibility and benefit information can no longer be treated as static. Re-verifying coverage closer to the point of service helps account for plan changes, reduces eligibility-related denials, and supports cleaner claims. This approach minimizes downstream disruption and promotes more consistent reimbursement outcomes.

Practices that continue to rely on manual checks, on the other hand, are likely to see a significant increase in claim denials, longer reimbursement cycles, and higher administrative burden on staff, which can quickly erode revenue and reduce overall operational efficiency. Without automation, small errors in eligibility or coverage verification can cascade into costly downstream problems that affect both cash flow and patient satisfaction.

3. Rising uninsured and self-pay exposure

For some ACA enrollees, annual premium increases will make coverage unaffordable. One estimate predicts that if enhanced subsidies are not continued, nearly five million Americans could become uninsured in 2026 alone.

Impact on the revenue cycle:

• More self-pay accounts with lower collection probability
• Increased bad debt and write-offs
• Higher demand for charity care or hardship programs
• More payment plan conversations and administrative strain
• Greater financial volatility for physicians serving price-sensitive communities

Operational takeaway:
Practices should strengthen self-pay workflows to help mitigate the financial risk posed by patients who drop coverage due to rising premiums.

Key strategies include providing real-time out-of-pocket calculations so patients understand expected costs before receiving care, offering financial counseling to discuss available discounts and hardship programs, and implementing flexible payment plans to accommodate patients who cannot pay their balances in full upfront.

Having clear discount and charity care policies ensure staff can consistently guide patients toward available support, while a robust call center can proactively manage patient questions, support payment plan enrollment, and follow up on self-pay accounts. Together, these initiatives make it easier for practices to absorb the increase in uninsured patients while maintaining financial stability.

4. Tightening payer controls and policies

When premiums climb, payers often look for ways to manage costs, which can shift financial and administrative pressure onto providers. These adjustments are typically designed to control utilization, limit risk, and ensure that higher plan costs don’t lead to unsustainable payouts.

How payers react:

• Stricter prior authorization requirements
• Narrowed networks and tiered benefit structures
• More medical necessity denials
• Increased documentation demands

Operational takeaway:
Revenue cycle leaders should proactively monitor payer behavior to anticipate shifts in denials, authorization requirements, and documentation expectations.

Leveraging denial analytics and reporting dashboards allows teams to identify patterns by payer and plan type, prioritize high-impact areas, and implement targeted workflow improvements. Practices can also evaluate and refine coding, authorization, and documentation processes to prevent avoidable denials and reduce administrative burden.

Another way to relieve some of the payer policy pressure is to leverage revenue cycle automation. These tools can benefit physician practices by both preventing human errors and freeing staff to focus on higher-value work.

5. Expanding administrative complexity

Premium adjustments often bring new benefit configurations or network changes such as higher deductibles, tiered cost sharing, or narrowed provider panels. These shifts increase administrative tasks across eligibility, billing, and patient communication. For groups already strained by staffing shortages, even small increases in this work can create downstream delays in billing, follow-up, and collections.

 Billing teams must navigate:

• More patient questions about coverage
• Higher call volume related to cost estimates and plan details
• Coding and billing edits tied to changing payer rules
• Staff retraining on new documentation requirements

Operational takeaway:
Organizations with standardized training, automated eligibility, and streamlined denial workflows are best positioned to absorb this increased complexity without jeopardizing cash flow.

Beyond these core capabilities, practices can analyze historical data to identify where administrative bottlenecks occur, predict which patients and payers will generate the most questions or rework, and prioritize staff resources accordingly. Workflow assessments and automation guidance can help reduce repetitive tasks, improve coding and billing accuracy, and ensure that follow-up processes remain timely.

By taking a proactive approach to managing administrative burden, organizations can protect both cash flow and patient experience despite the ripple effects of premium shifts.

Key takeaways: premium hikes are an RCM issue

The magnitude of marketplace premium increases is not yet fully known. However, physician groups should plan for ongoing coverage and reimbursement variability under any scenario. Groups that approach these changes proactively – with the right tools, workflows, and training – can maintain financial stability even as patient coverage becomes more volatile.

Revenue cycle leaders who prepare now will be better positioned to reduce friction for patients, prevent denials, and protect reimbursement in the year ahead. Physician groups can take several proactive steps to navigate a shifting landscape:

• Strengthen eligibility verification and use automated tools
  Consider automated re-verification for all high-risk encounters – particularly new patients or those with known plan volatility.
• Improve financial clearance workflows
  Equip front-end staff with messaging scripts, calculators, and training to confidently address high deductibles and out-of-pocket responsibility.
• Monitor denial patterns linked to marketplace plans
  Identify where payer changes are causing preventable denials and build quick-turn internal guidance for staff.
• Invest in patient-friendly payment options
  Payment plans, digital statements, and card-on-file options help reduce patient A/R and speed cash flow.
• Prioritize staff training on new benefit rules
  A brief but targeted refresher can prevent avoidable errors that lead to denials and rework in Q1.

Health Prime can optimize your physician group’s revenue cycle, improve reimbursement, and help support your organization through the changes ahead. To learn more, please send us an email or visit us at hpiinc.com.

The post ACA Premium Increases and the Revenue Cycle: How Physician Groups Can Prepare appeared first on Health Prime.

We created this executive guide breaks down three common revenue cycle mistakes and how to avoid them.

You’ll discover how to:

• Grow profitability without adding staff
• Improve collections and cash flow
• Reduce denials and rework
• Shorten days in A/R
• Strengthen front-end and back-end RCM

If you want the full breakdown, download the guide below.

The post Executive Guide: 3 Common RCM Mistakes That Could Cost Your Practice appeared first on Health Prime.