Healthcare Prior Authorization & Denial Management AI Agent
Integrationpath LLC · Finance & Accounting
Certification per AWS Marketplace.
Evidence tier Source Confirmed · 4 captures on record
What the publisher says
As described on AWS Marketplace.
## Healthcare Prior Authorization and Denial Management AI Agent
Built by **Integrationpath LLC**, this agentic AI solution automates document collection and cross-references clinical criteria to ensure that denials or approvals strictly follow payer-specific clinical policies - all while maintaining a complete audit trail for every decision.
Show the rest of the publisher’s description (39 more lines)
Denial management is a primary pain point in healthcare due to fragmented data across provider EHRs and payer adjudication systems. This multi-agent AI tool bridges that gap, shifting your organization from reactive billing to proactive authorization.
## How It Works
The solution deploys a coordinated team of specialized AI agents:
**Intake Agent**
- Scans clinical notes and structured intake forms
- Extracts necessary procedure and diagnosis codes automatically
- Identifies missing information before submission
**Clinical Evidence Agent**
- Connects to your EHR to pull relevant lab results, images, and prior clinical history
- Builds a comprehensive case for medical necessity
- Consolidates fragmented clinical data into a unified evidence package
**Compliance Agent**
- References up-to-date payer-specific clinical policies stored in Amazon Bedrock Knowledge Bases
- Ensures each request meets coverage criteria before submission
- Validates compliance against the latest policy updates
## Key Outcomes
- **Reduced Denial Rates:** Proactively corrects missing information before submission, preventing denials at the source
- **Complete Audit Trail:** Every decision is documented with full traceability for compliance and appeals
- **Proactive Authorization:** Shifts workflow from reactive billing corrections to proactive, policy-compliant submissions
- **Bridged Data Gaps:** Connects provider EHR data with payer adjudication requirements seamlessly
## Security and Compliance
This solution is deployed on AWS infrastructure and leverages AWS security capabilities including encryption in transit and at rest. Data flows between the container-based UI, AWS Lambda functions, and Amazon Bedrock Knowledge Bases are secured using AWS-native controls. Organizations handling PHI should review their own compliance requirements and coordinate BAA coverage with AWS as needed.
## AWS Architecture and Integration
This solution is purpose-built on AWS services for reliability, scalability, and security:
- **Amazon Bedrock AgentCore and Agent Gateway:** Core deployment platform for the agentic AI team
- **Amazon Bedrock Knowledge Bases:** Stores and retrieves payer-specific clinical policies for real-time compliance checking
- **AWS Lambda and Amazon API Gateway:** Powers backend services with serverless scalability
- **Container-based UI:** React UI and Crew AI deployed as a container for flexible access
- **AWS CloudFormation:** Templates provided for streamlined deployment of AgentCore resources
Customers select their own LLM model and pay for usage based on their selection, giving full control over model choice and associated costs.
## Prerequisites and Limitations
- Requires EHR API access for the Clinical Evidence Agent to retrieve patient data
- Payer-specific clinical policies must be ingested into Amazon Bedrock Knowledge Bases in supported formats
- Deployment requires an active AWS account with access to Amazon Bedrock, Lambda, and API Gateway
- Customers are responsible for ensuring their AWS environment meets applicable regulatory requirements
## Getting Started
To evaluate this solution for your organization, request a guided demo or discovery call through the support contact provided on this listing. Integrationpath LLC offers professional services for onboarding and integration assistance to help you connect your EHR systems and configure payer policy databases.
## Who This Is For
This tool is designed for healthcare providers, revenue cycle management teams, and payer organizations looking to reduce claim denials, accelerate prior authorization workflows, and maintain strict compliance with payer-specific clinical policies. It is ideal for organizations dealing with high denial volumes and fragmented clinical data across multiple systems.
Highlights
Highlighted by the publisher on AWS Marketplace.
Multi-Agent Architecture for End-to-End Authorization: Three specialized AI agents work together - an Intake Agent that extracts procedure and diagnosis codes from clinical notes, a Clinical Evidence Agent that pulls lab results and clinical history from EHRs, and a Compliance Agent that validates requests against payer-specific policies stored in Amazon Bedrock Knowledge Bases.
Proactive Denial Prevention with Complete Audit Trails: Reduces denial rates by identifying and correcting missing information before submission rather than reacting after denials occur. Every decision is fully documented with an audit trail that traces the clinical evidence, policy references, and reasoning behind each approval or denial determination.
Bridges Provider EHR and Payer Systems: Solves the fragmented data problem by automatically connecting to provider Electronic Health Records to aggregate lab results, imaging, and clinical history, then cross-referencing this evidence against up-to-date payer adjudication criteria to build comprehensive medical necessity cases.
Agent build and provenance
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Plans and pricing as listed
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Refund terms
As stated by the publisher on AWS Marketplace.
Customers may request a refund within 30 days of purchase if the product does not function as described. To request a refund, contact our support team via email within the refund window with a description of the issue. Refund requests will be reviewed and responded to within 5 business days. Refunds are not available for contract periods already in use beyond the 30-day window. Infrastructure charges (AWS services) are separate from software charges and are not eligible for refund
Sources
Linked repositories
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