Dataix Introduces FORT — Forensic Operations Revenue Technology

Dataix today provided additional detail on the architecture and methodology of FORT, its proprietary forensic reconciliation engine, as the Firm prepares to begin its first client engagements.

FORT addresses what was performed and never submitted. These are not competing approaches. They are different categories of loss, and FORT was built specifically for the one that standard platforms were never designed to find.

FORT — Forensic Operations Revenue Technology — is designed to address a specific gap that has existed in healthcare revenue cycle management since the field emerged. Standard RCM platforms address what was billed and denied. FORT addresses what was performed and never submitted. These are not competing approaches. They are different categories of loss, and FORT was built specifically for the one that standard platforms were never designed to find.

The engine operates across three simultaneous data streams: clinical delivery records from modality and procedure logs, billing ledger submissions to payers, and payer remittance data. By reconciling all three at the individual encounter level, FORT surfaces four primary categories of revenue loss:

Charge trigger failures — procedures documented in clinical records that were never submitted to any payer. This is the category that standard denial management platforms cannot identify because a claim was never filed.

Rate mismatches — claims submitted at amounts below current contracted rates, typically attributable to fee schedule desynchronization following practice affiliations or system migrations.

Remittance drift — payer payments below contracted or expected amounts, measured against the specific payer contract applicable to each encounter.

Observation misclassification — encounters potentially classified below their appropriate care level, with measurable EBITDA impact per affected encounter.

FORT's output is a line-item findings document organized by encounter, payer, procedure category, and estimated dollar value. Every finding in the report is traceable to source data. Nothing is estimated or projected.