AI-Based Diagnostic Reporting System for a Leading Healthcare Chain

October 25, 2025

Table of Contents

Share this post:

Join the pack. Get PeopleApps updates.

Subscribe to our newsletter for the latest updates and insights.

Overview

One of India’s leading diagnostic chains partnered with us to revolutionize how they deliver reports to patients. Earlier, reports were simple PDFs with raw numbers and reference ranges—accurate but hard to interpret.

Our goal was to turn those static reports into AI-powered, patient-friendly health summaries that not only show results but explain them with clarity.

Before: Traditional Diagnostic Reports

Challenges with traditional reports:

  • Hard to interpret without medical help
  • No insights or recommendations
  • No visual indicators for “what’s normal” and “what needs attention”
  • Minimal patient engagement

After: Insightful AI-Enabled Reports

  • Use the “Congratulations on completing your Full Body Checkup” image first.
  • Follow it with the “Complete Hemogram Health Insights” image second.

How it works:
The AI engine reads raw lab data, identifies abnormalities, and automatically generates insights, recommendations, and explanations for every key test.

Each report is now:

  • Visually engaging and easy to understand
  • Color-coded for clarity (Normal, Needs Attention, Immediate Attention)
  • Personalized with diet, exercise, and follow-up advice
  • Ready for instant download and sharing via email or WhatsApp

Our Solution

We built a custom AI diagnostic reporting platform that integrates seamlessly with existing LIS systems and automates report generation.

Key Features:

  • AI-driven interpretation of over 80 test parameters
  • Personalized insights for each patient
  • Automated formatting with branded PDF design
  • Instant generation in under 30 seconds per report
  • Secure delivery via email and WhatsApp

Results

  • 80% reduction in report preparation time
  • Improved patient understanding and engagement
  • Enhanced brand perception as a tech-forward diagnostic chain
  • Consistent quality and data accuracy across all centers

Technology Stack

  • Backend: Python with integrated AI models
  • Frontend: React with PDF rendering
  • Data Integration: LIS API, Thyrocare standard compatibility
  • AI: LLM trained on clinical data and WHO guidelines

Impact

This AI-powered system helped transform routine lab reporting into a smart health experience. Patients now receive not just numbers—but knowledge, insights, and actionable steps toward better health.

By merging healthcare and automation, the diagnostic chain moved closer to a future where every report informs, educates, and empowers.