Healthcare organizations are navigating a financial environment that looks fundamentally different than it did even a few years ago. Coverage is more volatile, patient responsibility continues to climb and margin pressure has become a constant rather than a cycle. Recent industry data shows hospital bad debt and charity care are up 10 percent in 2025 and 40 percent higher than in 2022, reflecting sustained pressure on the front end of the revenue cycle. That kind of movement isn’t a market blip. It’s a signal that the underlying financial dynamics of healthcare delivery have shifted.
That pressure is likely to intensify as coverage rules become more complex. The One Big Beautiful Bill Act (OBBBA) is expected to increase coverage disruption through new Medicaid eligibility and renewal requirements, Marketplace verification changes and the expiration of enhanced premium tax credits. KFF reports that the reconciliation law, combined with the expected expiration of enhanced ACA premium tax credits, could increase the number of uninsured people by more than 14 million in 2034. For revenue cycle leaders, that means more patients may arrive with uncertain coverage, unexpected self-pay balances or financial assistance needs that are difficult to identify through manual screening alone.
Behind these numbers is a more complex patient population. More patients are uninsured or underinsured, more are facing high deductibles and more are entering the revenue cycle with financial uncertainty. At the same time, bad debt and charity care per calendar day rose 18 percent in March 2026 compared to March 2025, continuing a multiyear trend that shows no sign of slowing. Revenue cycle leaders are being asked to strengthen collections while also expanding access to financial assistance, and they’re being asked to do it with leaner teams and tighter margins. Solving for both at once requires a more connected way of thinking about the front end of the revenue cycle.
Most revenue cycle organizations have built strong individual capabilities over time, but those capabilities often live in separate workflows. Charity screening sits in one process, propensity to pay scoring sits in another and collections strategy often operates separately from both. Each one performs a critical role, yet the lack of alignment between them creates blind spots that quietly erode performance.
When financial assistance eligibility isn’t identified early, patients who qualify can move further into the billing process before receiving the support they need. When propensity to pay insight isn’t paired with that eligibility view, teams can spend valuable time on accounts that were never likely to yield payment. As OBBBA adds more eligibility and renewal complexity, these gaps become harder to manage manually. Over time, they contribute to higher bad debt, increased operational effort and an inconsistent patient experience. It’s not a reflection of effort or intent. It’s a reflection of workflows that weren’t designed for the level of complexity healthcare faces today.
Forward looking revenue cycle leaders are moving toward a more connected model that brings charity screening and propensity to pay together as part of a single financial clearance strategy. At FinThrive, we think about this as a simple three-part framework: see, score and serve.
See is about visibility. It starts with identifying coverage, verifying insurance eligibility and identity, validating address information and surfacing financial context as early in the patient journey as possible. Score is about insight. It’s the ability to assess both financial need and likelihood of payment using data intelligence and predictive analytics, so every account is understood before it’s acted on. Serve is about action. It’s using that insight to guide each patient to the right financial pathway, whether that’s charity care, a payment plan or a focused collections strategy.
This framework reframes the front end of the revenue cycle as a coordinated decisioning process rather than a series of disconnected steps. It’s how leading organizations are reducing avoidable bad debt, expanding access to assistance and delivering a more consistent experience across the patient population.
Visibility starts with knowing who the patient is, what coverage they may have and whether the information on file is accurate enough to support outreach. Modern revenue cycle teams are moving away from waiting for patients to disclose coverage and financial details and toward proactively discovering insurance, verifying identity, confirming contact information, identifying gaps and surfacing eligibility for financial assistance programs early. This shift is accelerating as OBBBA increases Medicaid eligibility complexity and coverage churn and as presumptive eligibility screening becomes a growing trend across hospitals and health systems, supported by improvements in data and automation.
The organizations doing this well treat the front end of the revenue cycle as an intelligence layer. They use data to inform every interaction before it happens, which reduces friction for patients and creates a stronger foundation for everything that follows.
Once visibility is in place, the next step is understanding what each patient’s financial picture actually means. This is where propensity to pay becomes essential, and where predictive analytics can change the way teams prioritize work. Modern scoring isn’t static or rules based. It’s informed by data intelligence models that help revenue cycle teams differentiate between patients who can pay, patients who need support and patients who fall somewhere in between with far greater precision.
When data intelligence-driven scoring is paired with charity eligibility insight, segmentation becomes far more accurate. Instead of treating accounts as a single pool, organizations can group patients based on financial reality and align their workflows accordingly. That’s the difference between reacting to balances and actively managing financial outcomes, and it’s why intelligent revenue cycle solutions are becoming central to modern healthcare finance.
The final step is matching each patient to the right financial pathway, and this is where connected workflows make a measurable difference. Patients who qualify for assistance can be routed to charity programs or presumptive eligibility workflows, while patients with strong propensity to pay can be supported with clear payment options and proactive engagement. Patients in the middle can be guided toward payment plans or financial counseling that fits their situation.
The key is that these decisions happen continuously and intelligently, not as one-time manual steps. Data intelligence-driven decisioning helps every patient get matched to the right pathway at the right moment, which improves financial outcomes and creates a more supportive patient experience. When see, score and serve operate together, the front end of the revenue cycle becomes a strategic asset rather than a transactional process.
The pressure to modernize this part of the revenue cycle isn’t slowing down. More patients are entering the system with coverage uncertainty, and uncompensated care continues to be a major financial strain. The American Hospital Association reports that hospitals spent $43 billion in 2025 trying to collect payments from insurers for care already delivered, underscoring how much administrative effort is tied to back end recovery rather than front end clarity.
OBBBA adds another layer of urgency. More frequent eligibility checks, new renewal requirements and Marketplace subsidy changes could push more patients into self-pay status, even when some may still qualify for Medicaid, other coverage or financial assistance. That makes early visibility and segmentation more important, not less. Revenue cycle teams need scalable ways to identify coverage, determine assistance eligibility, prioritize accounts with true payment potential and route patients to the right next step. Organizations that embrace connected decisioning across the front end of the revenue cycle are better positioned to protect revenue, manage costs and support patients more effectively.
FinThrive helps revenue cycle leaders operationalize the see, score and serve framework across the front end of the revenue cycle, connected by data and intelligence. Our Patient Access solutions support early insurance verification and discovery, identity verification, cost estimation, address validation through Postal Confirmer and proactive financial assistance screening, giving teams the visibility they need to act with confidence. Integrated propensity to pay scoring and assistance screening enable more precise segmentation, while intelligent workflows help teams prioritize the work that matters most.
What makes this approach truly differentiated is FinThrive Fusion®, our unified data and intelligence platform. FinThrive Fusion is the connective tissue that brings together data, analytics, AI and workflow across the revenue cycle, enabling the kind of real time decisioning that the see, score and serve framework depends on. Without that data foundation, the framework stays conceptual. With FinThrive Fusion, it becomes operational. It’s how organizations move from disconnected processes to a coordinated financial clearance strategy that performs at scale.
The result is a more intelligent approach to financial clearance that strengthens performance, reduces avoidable bad debt and creates a more thoughtful patient financial experience.
The future of the revenue cycle won’t be defined by who collects the most aggressively. It’ll be defined by who understands their patient population most clearly and acts on that understanding most effectively. Charity screening and propensity to pay are two of the most important inputs into that understanding, and they perform best when they work together, powered by data intelligence and unified through FinThrive Fusion. See, score and serve isn’t just a framework. It’s a more modern way of thinking about financial clearance, and it’s how leading organizations are turning revenue cycle performance into a long-term competitive advantage.
If you’re ready to bring see, score and serve to life in your organization, FinThrive can help. Contact us to learn how our Patient Access solutions can reduce bad debt, expand access to financial assistance and deliver a smarter patient financial experience.
What is charity screening in healthcare?
Charity screening uses financial and demographic data to identify patients who may qualify for financial assistance or reduced payment programs, often before billing occurs.
What is propensity to pay in revenue cycle management?
Propensity to pay is a predictive approach that estimates a patient’s likelihood and ability to pay their medical bills based on financial and behavioral data, often supported by predictive analytics.
Why should charity screening and propensity to pay be integrated?
Integrating these capabilities enables more accurate patient segmentation, helping organizations match each patient to the right financial pathway earlier in the revenue cycle.
How does predictive analytics improve charity screening and propensity to pay?
Predictive analytics helps revenue cycle teams segment patients more accurately, prioritize accounts with true payment potential and route patients to appropriate financial pathways earlier.
How could OBBBA affect charity screening and propensity to pay strategies?
OBBBA is expected to increase coverage disruption through new eligibility, renewal and verification requirements. That makes scalable screening and propensity to pay insight more important because teams need to identify assistance needs earlier and prioritize collections more precisely.
What is FinThrive Fusion?
FinThrive Fusion is not a singular product. It’s the unified data and intelligence foundation that connects data, analytics, AI and workflows across the revenue cycle to enable smarter, faster and more coordinated financial decisioning.
What is the see, score and serve framework?
It’s a strategic model for modern financial clearance that focuses on identifying coverage and eligibility early, scoring financial need and propensity to pay and serving each patient with the right financial pathway.