AI REVENUE LEAKAGE DETECTION
The charges that fall between care and billing. Found before invoicing.
Likely missed charges surfaced before the invoice is finalised. Each invoice backed by historical patterns, ready to validate or dismiss.
Leakage caught while there's still time to act.
What gets used in theatre, doesn’t always reach billing
A procedure ends. Not every consumable used makes it to billing before the window closes.
At scale, this adds up. And then the leakage doesn't show up until a finance review. By then, the invoice has gone.
Billing intelligence that works quickly before the invoice leaves, not after the review finds the gap.
For the teams capturing every cent of revenue
Revenue leakage reduced without additional headcount or workflow disruption. Leakage patterns visible across departments, with the governance data to support decisions.
Likely charge gaps visible across departments before invoices are finalised, not in a reconciliation at month end. Patterns identified early, with the confidence data to act on them. Clearer revenue visibility without waiting for the finance review.
Likely missing consumables surfaced before the invoice goes out. Each prompt backed by historical data, ready to validate or dismiss without an investigation from scratch. Accuracy improves without adding to the workload.
Billing prompted by historical usage patterns, not dependent on the surgical team's recall after the shift. No new forms. No new steps in the workflow. Clinical operations continue without interruption.
Leakage found before issuing invoices
A baseline view of what should be billed
Precise charge expectations built from historical billing data for each surgeon and procedure type.
When actual billing falls short of what's expected, the discrepancy is visible before finalisation.
Expectations are specific to each surgeon and procedure, not averaged across the department.
Flags the gap before it closes
Real-time comparison between what was billed and what was expected, surfaced for each case before finalisation.
Likely missing items flagged with confidence scores, so billing teams validate rather than investigate from scratch.
Caught at the case level, not flagged in a finance review months later.
Fits inside existing workflows
Alerts and prompts delivered within existing Amalga billing processes, without new systems or additional steps.
Theatre teams don't change how they work. The intelligence runs in the background.
Finance teams see billing activity in real time, not in a report that's already out of date.
Fine tunes with every procedure
Every case processed deepens the model's understanding of expected billing patterns.
Detection starts with high-value consumables and expands across billing categories as accuracy builds.
Revenue impact grows as coverage expands, without additional configuration.
See Amalga AI in action
Book a 30-minute walkthrough with our AI and implementation specialists.
We'll show you how our AI safely connects to the billing workflow and processes your teams already use. Bill every cent of care with less manual work and fewer unknowns from day one.