Healthcare Analytics

Detect fraud, waste, and abuse before payments are made

Novacis Digital FWA Payor Analytics evaluates claims in real time and identifies anomalies early. It drives action before payment, so teams prevent loss instead of recovering it.
Overview

From claim review to pre-payment protection

Most FWA solutions identify issues after payment, when recovery is slow, expensive, and incomplete. Novacis Digital FWA Payor Analytics analyzes claims in real time, detects anomalous patterns, and moves cases forward before payment is authorized.

It understands claim data, identifies risk patterns, generates evidence, and triggers investigation workflows automatically. The result is reduced payment leakage, faster investigations, and a shift from recovery to prevention.
Deep pattern-based analysis
beyond static rules
Analyzes patterns across claims, providers, and members
Connects detection to
investigation and case execution
Delivers audit ready outcomes for every case
Reduced payment leakage
Faster investigation and resolution
Full claims coverage
Audit-ready case documentation

Who It's for

For teams responsible for payment integrity, risk control, and compliance
Payment Integrity Analysts
Focus on high risk claims with prioritized insights and supporting evidence.
Fraud Investigation Teams
Start with investigation ready cases instead of raw claim data.
Program Integrity Leaders
Monitor claims continuously and act before payment is released.
Finance and CFO Teams
Reduce avoidable losses by shifting from recovery to prevention.
Claims Operations and Medical Directors
Identify anomalies early with clear risk prioritization.
Compliance and Risk Leaders
Maintain full traceability across every investigation and outcome.

How it works?

From detection to resolution, Novacis Digital FWA Payor Analytics solution runs a continuous intelligence loop
01
02
03
Detect
Analyzes incoming claims data in real time to detect anomalies across billing patterns, providers, and members.
Understand inputs and context
Capture claims data
Claims Streams
Provider Submissions
Member Data
Historical Claims
Batch Inputs
API Feeds
Supports
Multi-Payer Data
High-Volume Claims
Real-Time Streams
Structured Data
Unstructured Data
Secure Processing
Investigate
Builds evidence-backed cases using relationship mapping, risk scoring, and pattern analysis.
Detect anomalies
Pattern Recognition
Outlier Detection
Provider Analysis
Member Analysis
Billing Patterns
Risk Scoring
Build investigation context
Case Creation
Relationship Mapping
Evidence Generation
Trend Analysis
Alerts
Prioritization
Act
Routes cases into workflows for investigation, recovery, and closure before or after payment.
Enable investigation workflows
Case Routing
Workflow Assignment
Evidence Tracking
Investigator Tools
Case Updates
Collaboration
Drive resolution actions
Payment Holds
Recovery Actions
Escalations
Reporting
Compliance Tracking
Audit Logs

Built to detect, investigate, and act on FWA risks

Every capability in Novacis Digital FWA Payor Analytics is designed to detect, investigate, and resolve FWA at scale.

Anomaly Detection

Identify suspicious patterns across claims.

Pattern Analysis

Analyze provider and member behavior.

Risk Scoring

Prioritize claims based on risk levels.

Case Creation

Convert anomalies into investigation-ready cases.

Relationship Mapping

Link providers, members, and claims.

Investigation Workflows

Manage cases from detection to resolution.

Continuous Learning

Improve detection accuracy over time.

Compliance Tracking

Maintain audit-ready investigation records.

Use Cases

Where FWA analytics protects revenue and compliance
Magnifying glass over colorful bar chart with credit cards and dollar bills on financial documents.

Pre-Payment
Detection

Identifies high-risk claims before payment to prevent overpayment.
Hand holding magnifying glass over paper with the word AUDIT on a desk with pencils and tablet.

Post-Payment
Audits

Surfaces recovery opportunities across historical claims.
Doctor in white coat using tablet with patient in head scan cap in blurred background.

Provider Fraud Investigation

Detects coordinated billing patterns and builds investigation-ready cases.
Central white figure surrounded by black figures on hexagonal wooden pieces on blue background.

Member Abuse
Detection

Identifies anomalous utilization patterns across member activity.
Stethoscope and cigarette on US flag pattern over scattered US dollar bills symbolizing healthcare and costs.

Medicaid FWA
Detection

Identifies fraud and abuse patterns across claims and providers.
Stethoscope and magnifying glass beside torn paper with the word Medicaid on wooden surface.

Medicare Fraud
Detection

Applies pattern analysis to identify billing anomalies and fraud networks.
Scrabble tiles spelling POLICY next to a magnifying glass on a gray surface.

Policy and Program Analysis

Generates audit-ready reports for compliance and oversight.
File folders labeled Compliance, Violations, Documentation, and Regulations on a laptop keyboard.

Compliance Reporting Data

Identifies and tracks recovery opportunities with full documentation.
Magnifying glass over colorful bar chart with credit cards and dollar bills on financial documents.

Claims Utilization
Review

Flags anomalies across employer groups for targeted review.
Person in blue scrubs and gloves holding a paper with bar charts and graphs.

Medical Chart
Audits

Validates claims against clinical documentation.
Medical professionals reviewing ultrasound and blood pressure report charts at a desk.

Provider Risk
Monitoring

Identifies high-risk providers based on billing patterns.
Two people analyzing business charts and graphs on paper and clipboard at a white desk.

Cost Containment Analytics

Surfaces insights to reduce unnecessary spend.

Proven in Real-World Environments

How FWA Payor Analytics Moved $80B in Annual Claims to Pre-Payment Risk Screening for a Top-10 US Health Plan

Learn how a top-10 health plan moved $80B in claims to pre-payment fraud, waste, and abuse screening.

How FWA Payor Analytics Prevented 5–10% of Improper Medicaid Claim Billings for a State Medicaid Solutions Integrator

Learn how a Medicaid program strengthened fraud, waste, and abuse oversight while reducing improper billing risks through advanced analytics.

Move from payment recovery to prevention

If your teams detect issues after payment, there is a better way to stop them earlier.
Talk to our Experts
Talk to our Experts