AI-powered claims underpayment detection, payment integrity, and revenue recovery.
Fulcrum Health Partners applies proprietary reimbursement analytics to validate every claim against contractual reimbursement methodologies, identify payment variances, quantify revenue leakage, and support long-term payer performance improvement.
From raw claim data to recovered revenue — validated at the claim level, at scale.
Payment methodologies are extraordinarily complex — and nearly impossible to validate at scale by hand. Thousands of contract provisions, annual fee-schedule updates, mid-year amendments, and shifting Medicare pricing combine so that underpayments slip through unnoticed.
Organizations collect what payers send and assume it's correct. Manual, sample-based reviews catch a fraction. The rest becomes silent revenue leakage — millions of dollars, every year, that no one ever flags.
A proprietary analytics platform that fuses deep healthcare reimbursement expertise with advanced technology — purpose-built to calculate what every claim should have paid.
Fulcrum ingests the full picture of a client's reimbursement environment — contracts, fee schedules, remittances, and claim detail — then automatically models each payer's methodology and calculates expected reimbursement at the claim level, across the entire population.
Our analytics automatically model each payer's reimbursement methodology and calculate expected reimbursement at the claim level — turning millions of claims into a precise, defensible view of what should have been paid.
A continuous, automated pipeline — every claim modeled, validated, and traced to root cause.
Secure intake of the organization's reimbursement data.
Every agreement, amendment, and term, centralized.
Commercial and government schedules, kept current.
Claim-level detail across the full population.
Actual payments and adjustment detail.
The core intelligence layer that ties it together.
Each payer's methodology reconstructed precisely.
What every claim should have paid, at the claim level.
Expected vs. actual, flagged across the population.
Why the variance occurred — systemic or claim-specific.
Board-ready dashboards and financial exposure.
Recovery, payer accountability, and future prevention.
Across the entire claims population — not a sample — Fulcrum surfaces the errors, discrepancies, and opportunities others miss.
Fulcrum turns millions of claims into executive clarity — potential recovery, payment variance, and financial performance at a glance. Explore a sample view.
Illustrative sample dashboards. Your dashboards are built from your actual contracts, claims, and remittances.
Traditional audits sample and react. Fulcrum validates every claim, continuously — and turns findings into strategy.
This is a strategic capability whose insight compounds across the enterprise, not a one-time audit tool.
Pinpoints underpayments and configuration errors to recover, and prevents recurrence.
Arms negotiations with claim-level proof of payer performance and variance.
Quantifies financial exposure and recovery opportunity with defensible precision.
Board-ready visibility into what the organization should have been paid.
Surfaces systemic payer configuration and contract-compliance failures.
Validates reimbursement quality and hidden leakage in target populations.
Turns variance analytics into leverage and accountability at the table.
Feeds real payment performance back into stronger future terms.
Forecasts recoverable revenue and models the impact of contract change.
The reach and rigor behind our reimbursement analytics.
Figures are illustrative placeholders pending confirmation of final platform metrics.
Our analytics scale across provider types, facility settings, and investor portfolios.
Most healthcare organizations focus on collecting payments. Fulcrum helps determine whether those payments were correct — combining proprietary analytics with deep reimbursement expertise to identify revenue leakage, recover underpayments, strengthen payer accountability, and improve long-term financial performance.