Wrkfloz
The Client
Wrkfloz is a healthcare technology platform that helps medical and legal professionals streamline the creation of Medicare Set-Aside, Medical Cost Projection, Life Care Planning, and surgical cost reports. By automating complex reporting workflows and managing healthcare data securely, Wrkfloz enables clinical and claims teams to improve efficiency, accuracy, and regulatory compliance.
As Wrkfloz continued expanding its platform, the organization sought to create a more scalable and intelligent foundation for managing large healthcare coding datasets while improving operational efficiency across report generation workflows.
Summary
Healthcare Automation Platform
Healthcare
Amazon S3, AWS Glue, Amazon Athena, AWS Lambda, AWS Step Functions, Amazon Aurora MySQL, Amazon API Gateway, Amazon CloudWatch, Amazon SES
Full-service Development Team—
Solution Architecture, Delivery Management, AI/Data Engineering, DevOps Engineering, Quality Assurance
RevStar partnered with Wrkfloz to automate healthcare coding workflows by building a scalable AWS-native data lake and serverless processing pipeline. The solution centralized CPT code management, automated validation and transformation, and enabled faster access to trusted healthcare data for report generation.
Established a scalable healthcare data platform, automated CPT code processing across hundreds of millions of records, improved operational visibility, and created a reusable architecture capable of supporting future healthcare coding systems.
The Challenge
As Wrkfloz continued expanding its healthcare reporting platform, the organization saw an opportunity to improve how large medical coding datasets were managed, validated, and delivered to clinical and claims teams.
The company wanted to reduce manual administrative work, improve data accuracy, and establish a scalable architecture capable of supporting growing healthcare datasets while creating a reusable foundation for future coding systems and reporting workflows.
The Problem
As Wrkfloz's platform and healthcare datasets continued to grow, the team needed a more scalable way to manage medical coding information across reporting workflows. Existing processes relied on manual validation and code management, making it increasingly difficult to efficiently support growing data volumes while maintaining accuracy, visibility, and operational consistency.
The Solution
RevStar partnered with Wrkfloz to build the cloud-native data foundation needed to support the platform's continued growth. Working alongside the Wrkfloz team, we designed a serverless AWS data lake and automated processing pipeline that centralized healthcare coding data, streamlined validation workflows, and improved operational visibility.
The solution combined intelligent workflow automation with scalable AWS data services to help Wrkfloz reduce manual effort, improve reporting efficiency, and establish a reusable architecture capable of supporting future healthcare coding systems.
The Team
