What We Deliver
Healthcare leaders do not need more activity. They need better performance - measured as outcomes.
Care Settings
Revenue cycle performance built for the operating realities of each provider environment.
Revenue leakage rarely sits in one work queue. It accumulates across patient access, charge capture, coding, billing, denials, underpayments, A/R, staffing, and system rules. Our Revenue Cycle Diagnostic connects operational performance to financial value so leaders can see where cash, margin, and capacity are constrained, what the gaps are worth, and which actions should come first.
Front, mid, and back-office assessment
Benchmark and opportunity analysis
Sources, assumptions, and data gaps
Simply fill out this form. Our team will request you for minimal data. We’ll deliver your Revenue Cycle Diagnostic within 48 hours of receiving your data.
A Revenue Cycle Diagnostic helps healthcare finance leaders quantify improvement opportunities across the front, mid, and back office. They receive a prioritized fact base that separates recurring financial benefit from one-time cash acceleration and distinguishes measured performance from estimates that require validation.
The Diagnostic follows the path of revenue from scheduling through final resolution. It links source data, workflow evidence, system configuration, staffing inputs, and performance metrics so leaders can understand both the financial gap and the operating capability required to close it. As EHR platforms introduce more advanced AI and agentic capabilities, the assessment also evaluates the organizational and operational readiness required to use them well. Every finding shows its basis, assumptions, owner, and validation status.
Structured data intake and validation - reduces false conclusions caused by missing, inconsistent, or duplicated inputs.
Sub-function workflow and hand off review - shows where eligibility, authorization, charge, coding, claim, denial, underpayment, or A/R friction enters.
Metric-level comparison and opportunity math - gives leaders a defensible view of recurring benefit, one-time cash acceleration, and cost-of-capital impact.
Root-cause attribution and double-count protection - prevents the same denial, write-off, or delayed cash opportunity from appearing in multiple workstreams.
Evidence-based capability scoring - identifies the controls, ownership, analytics, workflow discipline, and technology changes needed to sustain performance.
The Diagnostic connects denials, underpayments, missed charges, avoidable write-offs, and patient responsibility performance to the upstream workflow or rule creating the loss.
Recurring annual P&L benefit remains distinct from one-time cash acceleration tied to DNFB, A/R days, or inventory reduction, giving Finance a cleaner investment case.
Productivity, staffing, work-queue effectiveness, touch patterns, and vendor dependencies reveal where capacity is constrained or consumed by preventable rework.
Financial value, operational dependency, maturity, effort, and data confidence help leaders prioritize what to fix first and what must be validated before action.
The scope can cover patient access and pre-service work, charge capture, health information management, coding, clinical documentation, claims, payment posting, denials, underpayments, A/R follow-up, self-pay, bad debt, revenue integrity, reporting, workforce capacity, and technology. The exact scope follows the provider organization’s operating model, care settings, payer mix, system landscape, and known pressure points rather than forcing every organization into one generic checklist.
The core request typically includes aged trial balances by financial class, 835 remittance files, 837 claim files, budget and position-control data, clearinghouse and agency reports, system inventories, and a structured operational intake. Twelve months of history supports the baseline, while 24 months improves trend analysis. The team also reviews available metrics for eligibility, prior authorization, point-of-service collections, charge capture, DNFB, clean claims, denials, underpayments, A/R, bad debt, productivity, and cost to collect.
Each opportunity uses the current metric, an applicable benchmark, a defined financial or volume basis, and a realistic recovery factor. The calculation method and source are shown with the finding. Denial write-offs are assigned to root-cause phases to reduce double counting. One-time working-capital gains from A/R days or DNFB improvement remain separate from sustainable annual P&L benefit. Estimated metrics are labeled clearly and must be validated before they enter an approved business case.
Financial opportunity shows what may be recoverable. Maturity scoring shows whether the organization has the workflows, controls, accountability, analytics, staffing model, work-queue discipline, and technology enablement to sustain improvement. Each phase is rated from ad hoc to optimized using observable evidence. This helps leaders distinguish a short-term recovery action from a capability gap that will continue recreating denials, delays, leakage, or avoidable cost.
Yes. The Diagnostic can establish a neutral baseline before transformation, technology investment, process redesign, managed services, co-managed operations, or selective outsourcing. It can also narrow the decision by identifying the workstreams with the largest validated value and the operating dependencies that must be resolved first. Leaders can use the findings to compare options, sequence investment, set outcome expectations, and define governance without committing to a predetermined delivery model.
The assessment reviews how data and work move across the current environment, including EHR and patient accounting platforms, claim edits, clearinghouse responses, remittance data, work queues, reporting layers, automation, vendor tools, and interfaces. It also tests readiness for emerging EHR AI and agentic capabilities across data quality, standardized workflows, governance, access, role design, human oversight, exception management, adoption, and outcome measurement. The goal is not to recommend replacement by default. It is to identify what must be operationally ready before advanced capabilities can improve performance rather than automate inconsistent work.