Transforming Medical Document Processing with the Medibrief AI System

Executive Summary

Medibrief transformed medical document processing by developing an AI-powered platform hosted on AWS that automates the intake, analysis, and summarization of complex medical and billing records. By integrating foundation models from Amazon Bedrock with serverless AWS services, the company reduced manual workloads, accelerated turnaround times, and achieved scalable, HIPAA-compliant processing for clients in the legal and insurance sectors. The solution now handles over 100 cases per day, delivering structured, case-ready reports in minutes instead of hours.

About the Customer

Medibrief is a health-tech company focused on solving one of the most tedious challenges in legal and insurance workflows – processing high volumes of unstructured medical documents. The platform helps legal firms, medical experts, and insurance providers transform raw files into structured, compliant case summaries, eliminating the need for hours of manual review while maintaining strict security and regulatory standards.

Customer Challenge

Prior to the transformation, Medibrief’s target customers relied heavily on manual processes to review, extract, and summarize handwritten and scanned documents, leading to significant inefficiencies, human errors, compliance concerns, and high labor costs.

Key Challenges:

High volume of unstructured, handwritten, and scanned records

 

Frequent extraction errors due to inconsistent data formats

 

Difficulty maintaining HIPAA and legal compliance

 

Poor scalability when handling multiple clients and large case volumes

 

These limitations slowed case resolution times and limited Medibrief’s ability to support large-scale clients across jurisdictions.

Why AWS

AWS provided the scalability, flexibility, and security needed to support Medibrief’s AI-first platform. Key reasons for choosing AWS included:

Serverless architecture via AWS Lambda for elastic compute

Amazon Bedrock and Textract for document parsing and AI-driven summarization

S3 and RDS for scalable, secure storage and structured data handling

Step Functions to manage complex workflows with high concurrency

Compliance capabilities, including IAM, KMS, GuardDuty, and CloudTrail, to meet HIPAA and SOC 2 Type I requirements

Why Matoffo

Matoffo brought deep expertise in AI, serverless architectures, and AWS-native infrastructure, allowing Medibrief to deliver a production-ready solution in record time. The team’s modular approach to system design ensured high performance, faster debugging, and flexibility for future scaling and customization. Matoffo’s DevSecOps mindset also ensured compliance and security were embedded from the ground up.

Matoffo Solution

Matoffo designed and implemented a cloud-native, AI-powered platform with the following core components:

Architecture & Infrastructure:

Lambda-based microservices for OCR, chronology generation, billing extraction, and summarization

Amazon Textract for extracting data from printed and handwritten documents

Amazon Bedrock (Claude models) for medical summarization and timeline generation

AWS Step Functions to orchestrate processing workflows in parallel

Amazon S3 for document storage; Amazon RDS (PostgreSQL) for structured metadata

Terraform for infrastructure as code and environment provisioning

Security:

TLS 1.2+, IAM least privilege policies, SSE-KMS encryption

GuardDuty, Security Hub, and CloudTrail for monitoring and auditing

PHP 8+ with CodeIgniter 4 and Shield library for secure web access

Business Value

Quantitative Impact:

80%+ reduction in processing time, from hours to minutes per case

90%+ accuracy in AI-generated summaries and data extraction

Over 100 concurrent processing tasks are supported daily

Full HIPAA and SOC 2 Type I alignment, supporting enterprise client needs

Qualitative Benefits:

Eliminated manual bottlenecks, freeing staff to focus on high-value legal/medical work

Enhanced consistency and report quality across case types

Enabled client scalability across jurisdictions with minimal overhead

Positioned Medibrief as a leader in compliant, AI-driven legal-medical document processing

Client’s Feedback

“Partnering with Matoffo enabled us to accelerate our product roadmap and build a truly scalable AI-driven solution. Their technical expertise and secure, modular design gave us the confidence to support larger clients while meeting strict compliance standards.”
— CTO, Medibrief