LumaClaims
Medicare Claims Analytics Platform Built for Large-Scale Data
Project Overview
Client Requirements
Claims Data at Scale
Organize a large Medicare Part B dataset for repeated analysis without requiring users to handle raw source files.
Interactive Exploration
Let users filter, compare, and visualize the data in a web-based dashboard.
Current Reporting Cycles
Support regular data updates so analyses reflect newly available claims periods.
Controlled Product Access
Give authorized users a reliable path into the dashboards and their available views.
Key Challenges
Dataset Volume
Make queries practical across billions of claims records.
Data Modeling
Structure claims and reference data so filters return consistent results.
Analytical Performance
Keep common dashboard interactions responsive while controlling cloud query costs.
Usable Visualizations
Turn complex dimensions and measures into views that users can interpret.
Incremental Delivery
Release useful capabilities in phases while data and product requirements evolve.
Key Market Insights
Solution Overview
Macromodule developed the foundations of a web-based Medicare claims analytics product. The work brought together large-scale data preparation, BigQuery-backed analysis, application interfaces, and interactive dashboard views. Delivery was split into milestones so the client could use each phase, assess the results, and refine the next set of filters and visualizations.
- Claims Data Foundation
- BigQuery Analytics Layer
- Application Services
- Interactive Dashboard
- Data Update Workflow
BigQuery and Python are supported by the public project descriptions and the client's review. Internal project context mentions GCP Cloud Storage, Parquet, FastAPI, Panel, and Cloud Run, while a public review describes a ShadCN frontend. These may describe different layers or phases. Confirm the current deployed architecture before naming frontend framework(s) or publishing a detailed stack diagram.
System Architecture
Claims Data Foundation
Store and prepare large claims datasets for repeatable analytical workloads.
BigQuery Analytics Layer
Run filtered queries and power aggregate results for dashboard views.
Application Services
Connect access controls, query logic, and dashboard functionality through the product backend.
Interactive Dashboard
Give users filterable views, charts, and detailed exploration paths in the web application.
Data Update Workflow
Prepare and load newly available source data as part of the product's reporting cycle.
Engineering Approach
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Data modeling: Map source and reference data to the filters and measures the dashboard needs. -
Query design: Build analytical queries and views around practical exploration paths.
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Product delivery: Release access, overview, and more detailed visualizations in phases.
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Validation: Review the results with the client and refine the next milestone based on use.
The project connects large-scale data engineering with a product that makes the results accessible to end users.
Security Architecture
Authorized Access
Users enter through the product's access flow before exploring available data.
Filterable Dashboards
Interactive filters and charts help users narrow questions and compare results.
Data Context
Claims views are organized around the periods and dimensions relevant to analysis.
Project Outcomes
Working Analytics Product
The client received a web-based dashboard for exploring Medicare claims data.
High-Volume Data Access
BigQuery provides the analytical foundation for a very large claims dataset.
Interactive Exploration
Users can use filters and visualizations instead of working directly with raw records.
Milestone Validation
Phased releases let the client test each set of capabilities as it was delivered.
Continuing Development
The architecture supports subsequent datasets, dashboard views, and product improvements.
What This Project Demonstrates
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Large-scale healthcare data engineering
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BigQuery-based analytical workloads
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Interactive dashboard development
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Phased product delivery with client validation
Build a Similar Solution
Healthcare analytics platforms
Cloud data warehouses
Interactive reporting dashboards
Data pipelines and integrations
FAQS
Let's Build Your Next Digital Product
Whether you are launching a new platform, modernizing legacy systems, or expanding engineering capacity, Macromodule Technologies helps you move forward with clarity and confidence. We support you across product discovery, technical architecture, UI/UX design, software development, quality assurance, cloud deployment, and continuous improvement. By understanding your core business goals early, we define a clear, risk-free delivery roadmap before writing a single line of code.
From AI-powered platforms and custom enterprise software to blockchain systems, mobile applications, cloud infrastructure, and data-intensive products, we engineer secure, scalable solutions built around your operational strategy. Our focus isn't just on launching—we build a flexible technical foundation that evolves as your users, data, and business requirements grow.
Partner with an engineering team that takes complete ownership, communicates transparently, and stays laser-focused on delivering measurable, long-term value.
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