Case Study

From Multichannel Complexity to AI Orchestrated Claims and Fraud Operations

Major Healthcare Payor

A national healthcare payor division partnered with DataBank to replace manual record handling with AI powered, human validated processing that reduces delays, mitigates compliance risk, and scales fraud prevention and claims integrity operations.

Industry

Healthcare

Challenge

A payor division managed records from paper, fax, CD, and portal uploads using manual steps that slowed fraud detection.

Results

DataBank deployed AI powered, human validated processing to reduce delays, strengthen compliance, and scale claims and fraud operations across payer clients.

Solutions

Outcomes

3.5M

Images processed in one month

100%

SLA adherence for FWAE communications

16

Payer clients on one framework

176,550

Letters per month capacity

Overview

A payor division focused on fraud prevention and claims integrity managed high record volumes from paper, fax, CD, and portal uploads. Manual handling slowed reviews and increased compliance risk across many payer clients. DataBank deployed AI powered processing with human validation to standardize intake, validate key fields, and automate routing. The program scaled to enterprise volumes while maintaining service levels.

Challenges

Inefficient processing of inbound medical records and outbound claims correspondence across many payer clients

Compliance risk and fraud detection delays caused by manual, error prone steps

Multiple format intake including paper, fax, CD, and portal uploads requiring consistent, high accuracy handling

Operational bottlenecks due to limited automation and scale

Implementation

Standardized Intake Across Channels

Centralized ingestion for paper, fax, CD, and portal sources, normalizing images and metadata for downstream automation.

Daily Match and Merge with Human Validation

Automated verification of six key fields using daily client files, with subject matter experts reviewing edge cases to sustain accuracy and compliance.

Automated Return Mail Handling

Automated returned mail classification and routing so exceptions were identified quickly and handled consistently. This reduced manual sorting, improved visibility, and helped keep claims and fraud workflows moving at scale.

High Scale Correspondence and Phased Growth

Built a correspondence pipeline capable of about 176,550 letters per month, then expanded capacity over time.

Key Takeaways

Automation, validation, and scalability improved accuracy, compliance, and fraud detection speed across 16 payer clients.

Massive Intake Volume

3.4M images processed via portal upload in one month

Flawless Compliance Record

100% SLA adherence for fraud, waste, and abuse (FWAE) communications

Enterprise Wide Scalability

Expanded to 16 payer clients on a standardized operational framework

Accelerated Fraud Insights

Faster fraud detection and claims verification through automation and subject matter expert oversight

Results

Deeper content intelligence to further accelerate fraud detection

Cloud integration to support growth and resilience at higher volumes

Standardized onboarding to rapidly add more payer clients and document types while managing cost via tiered pricing

View Full Case Study

Learn how the Healthcare payor partnered with DataBank to address a critical challenge and deliver measurable results. This case study provides a clear overview of the problem, the solution, and result.

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