A modular clinical intelligence platform built to parse unstructured medical records, evaluate configured audit logic, and anchor every discrepancy to auditable evidence.
Healthcare text is dense with acronyms, anatomical laterality, and subjective observations. The Clinical Intelligence engine reads physician documentation not as arbitrary strings, but as structured clinical facts.
Generic search tools fail in healthcare because they flag keywords without context. The Acuro Context Engine evaluates whether a diagnosis is actively treated during the encounter, an unconfirmed rule-out hypothesis, or explicitly denied by the patient.
This critical filtration prevents false-positive alerts from cluttering the review queue.
No black boxes. Every discrepancy surfaced by Acuro is linked directly to the exact sentence in the medical record.
System detects mismatch between assigned code and clinical narrative.
Exact line reference in EHR note highlighted in real time for reviewer inspection.
Rule criteria and coding guideline reference displayed alongside findings.
Reviewer action (Accept / Dismiss / Escalate) permanently logged with timestamp.
Organizations configure audit criteria to match their specific specialty workflows, payer contracts, and compliance thresholds.
Cases are prioritized on a dynamic risk spectrum from Low to Critical, ensuring high-risk billing mismatches are caught before claims leave the building.
Test in Interactive DemoSpeak with our engineering team about integration scope, EHR data models, and pilot evaluation.