Advanced VHI Service for Corporate Health Management

Pynest’s team developed an advanced Voluntary Health Insurance (VHI) service that combines medical insurance with medtech solutions, enhancing health management for employees and HR departments. The service includes a machine-learning-powered quote calculation module, allowing for tailored insurance quotes based on client-specific risks, along with an HR dashboard for real-time reporting and seamless policy updates.

The project architecture consists of approximately 40 modules, structured as a single monolithic application with around 30 microservices. This hybrid approach ensures scalability, flexibility, and efficiency in meeting the diverse needs of the client and its customer base.

MedTech

Health Insurance

Risk Management

Machine Learning

VHI

Insurance Automation

Operational Efficiency

Analytics

Client Engagement

Client

Industry:

Insurance, Healthcare

Location:

European Union

Client since:

2022

The client is a leading provider of voluntary health insurance (VHI) services, catering to businesses of all sizes. With a focus on delivering innovative and flexible health insurance solutions, the company is committed to enhancing employee well-being while helping businesses manage risks and reduce costs. Their services span across various industries, offering tailored solutions to meet the unique needs of their clients.
Due to confidentiality agreements, specific details about the client cannot be shared.

Challenge

The client faced the challenge of modernizing and streamlining its voluntary health insurance services while improving risk management processes. They needed an integrated solution to calculate insurance quotes efficiently, while also adopting advanced risk mitigation strategies to reduce financial losses.
The company also wanted to enhance transparency and customer engagement through automated processes and personalized offers. Additionally, the challenge was to ensure the scalability and security of the platform to meet the growing demands of businesses across various sectors.

Objective

The primary objective was to create an innovative VHI service platform that would:

Enable accurate and dynamic insurance quote generation based on diverse client needs.
Implement advanced risk management strategies to minimize financial exposure.
Improve transparency, client communication, and trust through streamlined processes and automated updates.
Optimize the platform for scalability and security to ensure future growth and adaptability.
Enhance operational efficiency by automating reporting, data analysis, and client engagement.

Solutions Implemented:

HR Dashboard Module:

A service that provides HR departments of client companies with detailed reports on medical services rendered, allows for the signing of additional agreements for new rates, and adds new employees to the existing VHI program.

Quote Calculation Module:

A dedicated microservice that generates customized insurance quotes based on client specifications, utilizing machine learning models to calculate the cost of medical insurance programs while considering all selected risks.

Risk Management Module:

This module integrates sophisticated algorithms to assess and evaluate the risks associated with various health insurance programs. It ensures that only the most cost-effective and secure options are recommended, reducing financial exposure.

Email Notification Service:

A robust system for sending automated updates and offers to clients through multiple mail providers, increasing engagement and ensuring customers receive relevant communications such as quarterly reports and new service offers.

Report Generation Optimization:

The code was optimized to reduce the time taken for generating reports with detailed analytics, enhancing operational efficiency and providing clients with faster insights into their health insurance data.

Results Achieved:

30%

reduce of the number of unprofitable insurance programs

25%

increase in client engagement

15%

increase of number of clients within the first 6 months

20%

higher client retention

75%

improvement of operational efficiency

Reduced Financial Losses:

The enhanced risk assessment process reduced the number of unprofitable insurance programs by 30%, minimizing overall financial exposure and increasing the profitability of the offerings.

Increased Client Acquisition:

The transparency within the HR dashboard and the efficient email communication system resulted in a 25% increase in client engagement. Existing clients received up-to-date offers and quarterly reports, which directly contributed to the acquisition of 15% more clients within the first 6 months.

Improved Client Trust:

The streamlined quote creation process led to a 40% increase in client trust and loyalty. Tailored health insurance quotes based on company-specific needs strengthened relationships, resulting in 20% higher client retention.

Optimized Report Generation:

The code optimization reduced the time for generating detailed reports with comprehensive analytics from 4 hours to just 1 hour, improving operational efficiency by 75% and providing clients with faster insights into their health insurance data.

Team

The team consisted of 10 backend developers specializing in Python and microservices architecture.

Back-end Engineers

System Architects

Database Engineers

Advanced VHI Service for Corporate Health Management

Client

Challenge

Objective

Solutions Implemented:

HR Dashboard Module:

Quote Calculation Module:

Risk Management Module:

Email Notification Service:

Report Generation Optimization:

Results Achieved:

30%

25%

15%

20%

75%

Reduced Financial Losses:

Increased Client Acquisition:

Improved Client Trust:

Optimized Report Generation:

Team

Technical Stack:

Backend

Platforms

Testing

HR Dashboard Module:

Quote Calculation Module:

Risk Management Module:

Email Notification Service:

Report Generation Optimization:

Reduced Financial Losses:

Increased Client Acquisition:

Improved Client Trust:

Optimized Report Generation:

30%

25%

15%

20%

75%

Backend

Platforms

Testing