LumaClaims

Medicare Claims Analytics Platform

Macromodule helped LumaClaims turn large Medicare Part B datasets into an interactive web platform, connecting BigQuery-backed analysis with dashboards, filters and clear reporting views.
Discuss Your Data Platform
Big Data & Analytics Cloud Services Custom Software Solutions HealthTech Web Development
LumaClaims claims management platform
LumaClaims mobile claims management interface

Turning Claims Data into Useful Insights

LumaClaims helps healthcare and life-sciences teams explore Medicare Part B activity for market and payer-strategy decisions. The product needed to make a large, complex dataset accessible through a browser, with meaningful filters and visual reporting.Macromodule partnered with the LumaClaims team to build the data and application layers of its Medicare claims analytics platform. The work connected cloud analytics, dashboard interfaces, and phased delivery so the client could review working features as the product developed.
The Challenge and Our Response

From Complex Datasets to Interactive Analysis

The Product Challenge

Large Data, Difficult Exploration

Raw claims data is difficult to explore without a reporting layer that connects records to useful questions. The client needed a product that could support detailed analysis without requiring users to work directly with source files or database queries.
Macromodule’s Contribution

A Connected Analytics Platform

Macromodule brought together analytical queries, application functionality and interactive reporting. The result gives users a practical way to narrow their analysis, compare results and explore the available claims data through a web interface.

Claims Data at Scale

Organize high-volume Medicare Part B data for repeated analysis, with a cloud foundation suited to large analytical workloads.

Interactive Dashboards

Give users filters, charts and reporting views that help them explore questions without writing their own database queries.

Updated Reporting Periods

Support newly available claims data while keeping reporting periods and analytical context clear.

Controlled Product Access

Provide an application access flow that connects users to the dashboards and views available within the product.

Client Requirements

LumaChain blockchain platform architecture blueprint

Engineering Challenges

The challenge was to connect large-scale data analysis with a product people could use to investigate specific questions.
01

High-Volume Analysis

Queries across a large claims dataset need to return useful results without treating every dashboard interaction as an unrestricted scan of raw records.

02

Consistent Data Models

Claims and reference data need compatible definitions so filters, comparisons and reporting views remain consistent.

03

Query Performance and Cost

Dashboard interactions need practical query patterns that account for the amount of data processed and the cost of repeated analysis.

04

Clear Visual Reporting

Complex measures and dimensions need to be presented through charts and views that users can interpret in context.

05

Evolving Product Requirements

The product needed room for additional views and datasets. Phased delivery allowed the client to review working features and refine subsequent priorities.

Product Needs Behind the Build

The platform addresses practical needs in healthcare data analysis: useful context, current reporting periods and the ability to investigate beyond a fixed report.

“Data Freshness Matters”

Analysts need to understand which reporting periods are available before drawing conclusions from claims activity.

“Raw Records Need Context”

Data becomes more useful when users can connect measures to clear dimensions and definitions.

“Questions Change During Analysis”

Interactive filters let users refine a question as they explore, rather than relying entirely on a predefined report.

“Consistency Supports Confidence”

Repeatable data preparation and aligned reporting definitions help users compare results with greater clarity.

LumaChain blockchain market insights radar

The Macromodule Solution

Macromodule developed the foundations of a web-based healthcare analytics product, connecting a BigQuery analytical backend with interactive reporting. The focus was to turn complex data into a product that supports exploration and can develop through successive releases.
  • Overview Dashboards Present key measures and charts through a common reporting interface.
  • Interactive Filtering Help users narrow the available data around their analytical questions.
  • Detailed Exploration Connect overview information to more focused reporting views.
  • Reference Data Integration Bring supporting datasets into the analytical experience.
  • Phased Product Delivery Release working features for client review before extending the next set of capabilities.
The result connects data engineering and application development in one analytical product.
LumaChain blockchain platform solution

Data and Application Architecture

The platform connects source data, analytical queries, and application interfaces through five functional responsibilities.
Layer 01

Claims Data Foundation

Organizes source claims and supporting datasets for use in the platform’s reporting workflows.

Layer 02

BigQuery Analytics

Provides the analytical foundation for filtered queries and the results displayed in reporting views.

Layer 03

Application Services

Connects product access, query inputs, and analytical results to the application's dashboard functionality.

Layer 04

Interactive Reporting

Presents filters, charts, and detailed views that help users explore the data through a web interface.

Layer 05

Data Update Workflow

Supports preparing and loading newly available source data for subsequent reporting periods.

Engineering and Delivery Approach

Delivery brought together data modeling, query development, and product feedback in manageable phases.

Data Modeling

Connect source and reference data to the dimensions, filters and measures needed by the dashboard.

Query Development

Build analytical queries around practical reporting questions and the information each view needs to display.

Phased Releases

Deliver access flows, overview dashboards, and detailed reporting capabilities in reviewable milestones.

Client Validation

Review working features with the client and use feedback to refine the next delivery phase.

Each phase links engineering progress to a usable part of the product.
Security Architecture

Analytics Experience and Access

The product combines application access with interactive reporting and clear analytical context.

Product Access

LAYER // 01

Users enter through the application’s access flow before working with the available dashboards.

Filterable Views

LAYER // 02

Filters and visualizations help users move from a broad overview to a more focused analytical question.

Reporting Context

LAYER // 03

Data periods and relevant dimensions give users context for interpreting the results they see.

Blockchain security controls

Frequently Asked Questions

The project delivered a working analytics product and a foundation for extending its data and reporting capabilities.
Strategic Outcome 01

Working Web Analytics Product

The client received a browser-based platform for exploring claims data through dashboards and reporting views.

Strategic Outcome 02

Cloud Analytical Foundation

BigQuery connects large-scale analytical workloads to the application experience.

Strategic Outcome 03

Interactive Data Exploration

Users can investigate questions through filters and visualizations rather than handling raw source records directly.

Strategic Outcome 04

Reviewable Delivery Milestones

Phased releases gave the client working features to assess as the platform developed.

Strategic Outcome 05

A Foundation for Further Development

The product structure supports subsequent datasets, reporting views, and improvements to the analytical experience.

Engineering Capabilities Demonstrated

LumaClaims connects healthcare data, cloud analytics, and web product development in one delivery.
Capability // 01

Healthcare Data Engineering

Organizing complex claims and reference data around useful reporting requirements.

Capability // 02

BigQuery Analytics Development

Connecting analytical queries and reporting results to an application users can navigate.

Capability // 03

Interactive Dashboard Engineering

Building filters, charts, and exploration paths around real product questions.

Capability // 04

Collaborative Product Delivery

Turning client feedback and phased milestones into continued product development.

The project demonstrates how Macromodule brings the data foundation and user experience together.

Build Your Data Platform with Macromodule

Our data engineering services connect data preparation, cloud analytics, and product interfaces around your reporting needs.

Healthcare Analytics Platforms

Develop reporting products around healthcare datasets, clear definitions, and the questions your users need to answer.

Cloud Data Warehouses

Organize data from multiple sources into an analytical foundation for reporting and product development.

Interactive Reporting Dashboards

Build filterable views and visualizations that help users explore and compare information.

Data Pipelines and Integrations

Connect source data, preparation workflows, and application services into a maintainable data platform.

Discuss Your Data Platform
Blockchain development solution icon

Frequently Asked Questions

LumaClaims is a Medicare Part B claims analytics product. It helps healthcare and life-sciences teams explore claims activity through web dashboards, filters, and reporting views.

Macromodule worked on the platform’s data and application layers, including BigQuery-backed analytics, interactive dashboard functionality, and phased feature delivery with the client team.

Claims analytics examines existing data for reporting and insight. Claims processing handles operational tasks such as submission or adjudication. This case study covers the development of an analytics product.

Yes. Macromodule can develop data pipelines, analytical backends, and reporting interfaces around your data sources, user requirements, and product scope.

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.

Discuss Your Project

Our Offices:

Head Office<span class="gradient-text"> (USA) </span>

Head Office (USA)

Address: 28 W Flagler St Ste 300B #324 Miami, FL 33130

Phone: +1 (321) 364-6867

Email: consultant@macromodule.com

Regional Office<span class="gradient-text"> (UAE) </span>

Regional Office (UAE)

Address: Business Centre, Sharjah, United Arab Emirates

Phone: +971 55 154 7284

Email: consultant@macromodule.com

Innovation Hub <span class="gradient-text"> (Pakistan) </span>

Innovation Hub (Pakistan)

Address: 61 C, Pia Housing Scheme, Lahore 54000

Phone: +92 (339) 0134700

Email: consultant@macromodule.com