How Sidhyati connected a hospital's Patient Management System to an insurer's platform, automating real-time claims on a secure AWS cloud foundation, delivered through an AI-driven software development lifecycle.
Hospitals and insurers depend on a fast, accurate flow of claim data, yet the two systems rarely speak the same language. Sidhyati built a comprehensive integration between a hospital's Patient Management System (PMS) and an insurance company's platform, streamlining claim processing, reducing errors, and expediting reimbursements. The solution runs cloud-native on AWS and was delivered through an AI-driven engineering process.
Manual claim processing led to delays, errors, and heavy workload, while data discrepancies caused mismatched or incomplete information and claim rejections.
Regulatory compliance raised data-privacy and security demands, and the lack of a unified workflow undermined revenue-cycle management and claim-settlement timelines.
We designed a real-time integration on AWS, using managed cloud services for elastic scale, encrypted data, and high availability between the two systems.
Delivery ran on an AI-augmented SDLC: AI-assisted analysis structured requirements, AI pair-programming and automated tests sped the build, and AI code review held quality across every sprint.
AI-structured claims requirements & mappings
AI pair-programming for integration services
Automated tests & AI review on AWS pipelines
Cloud monitoring & anomaly detection
Curious how AI shortens delivery without cutting corners? Explore our AI-Driven SDLC →
A comprehensive integration solution, deployed on AWS, that automates the claim lifecycle between hospital and insurer while keeping sensitive data secure and compliant.
Live data flow between hospital PMS and insurer.
One view for claims with real-time updates.
Advanced encryption and secure authentication.
Automated validation across the claim lifecycle.
Insights for informed decisions and improvement.
Elastic, secure, highly available integration.
Reduced claim processing time to 5 days from 15.
Cut error rates by nearly 30%.
Decreased hospital workload across the revenue cycle.
Improved patient satisfaction with quicker claim settlement.
Reduced overall expenses through automation.
Cloud reliability: the AWS foundation scales with claim volume without disruption.
Before and after the PMS to insurer integration.
Let’s talk about how we can engineer the same kind of outcome for your business.