Precision that
Elevates Care

Transforming healthcare revenue cycle management through intelligent automation, data-driven insights, and seamless workflow integration.

95%+ Accuracy
60% Faster Processing
24/7 Support

Why Caladrius Health

The Revenue Cycle Management landscape in India faces critical challenges costing the healthcare industry ₹45,000+ Crores annually

₹1.17 Lakh Crore
Total Health Insurance Claims FY24
DENIALS: ₹26,037 CRORE (22.3%)
₹1.17 trillion claims filed; ₹83,493 Cr paid; ₹26,037 Cr denied/repudiated
5-10%
Annual Revenue Leakage (Industry Benchmark)
20.32% PREMIUM GROWTH FY24
Estimated revenue loss from billing/RCM errors; premiums grew 20.32% YoY
90-120
A/R Days (Many Hospitals)
3X GLOBAL BENCHMARKS
Many Indian hospitals report 90-120 days vs. 30-45 day industry best practice
₹7.5K Crore
Claims Pending Settlement FY24
6.48% OF TOTAL CLAIMS
Delayed processing creates cash flow strain for healthcare providers
₹1,07,681 Crore
Health Insurance Premiums FY24
20.32% GROWTH YOY
Strong premium growth but claims processing efficiency lags behind
66.16%
Cashless Claims FY24
34% REIMBURSEMENT
Two-thirds settled cashless but processing still fragmented across systems

Market Opportunity

A Rapidly Growing RCM Market in India

Market Potential

$5 Billion

Current Market (2025)

16.8% CAGR Expected to reach $15 Billion by 2033

Healthcare Infrastructure

75,000+

Hospitals & Facilities

12% YoY Growth Increasing digitalization across secondary & tertiary care

The Compliance Gap

45%

Non-compliant Facilities

High Risk Area Urgent need for ICD-10 and ADBM standardization

Autonomous Mid Revenue Cycle

Traditional vs AI-Enabled RCM Process

Traditional

Traditional RCM Process Infographic

Caladrius AI

AI-Enabled Caladrius RCM Process Infographic

Why Choose Caladrius AI

Traditional RCM vs Caladrius AI

💰 Revenue & Performance

Category Traditional RCM Caladrius AI
Claim Denial Rate 15-20% 3-5% (70% reduction)
A/R Cycle Time 90-120 days 30-40 days
Processing Speed Days to process Hours (60% faster)
First-Pass Accuracy 70-75% 95%+

💵 Cost & Efficiency

Category Traditional RCM Caladrius AI
Automation Level 30% (70% manual) 95% automated
Revenue Leakage ₹12-18L/year Minimal leakage
Operational Cost High labor costs 60% cost reduction
Scalability Limited by workforce Unlimited scaling

🔒 Quality & Security

Category Traditional RCM Caladrius AI
Coding Accuracy 70-75% (25-30% errors) 99%+ with AI validation
Error Detection Manual review, delayed Real-time detection & correction
Security Compliance Basic HIPAA compliance WASA Certification
Data Protection Standard encryption ABDM and NHCX certified

🤝 Customer Service

Category Traditional RCM Caladrius AI
Availability Business hours (9-5) 24/7/365
Response Time Hours to days Instant insights
Reporting Weekly/monthly reports Real-time dashboards
Support Model Reactive support Proactive monitoring & alerts

Our Team

Led by healthcare industry veterans with deep expertise in mid revenue cycle management, our team brings together specialists in medicine, hospital administration, and cutting-edge AI technology. With decades of combined experience in healthcare operations and revenue cycle optimization, we understand the unique challenges faced by Indian healthcare providers.

Giri Mudbidri - Co-Founder & CEO

Giri Mudbidri

Co-Founder & CEO

Manish Sharma - Co-Founder & CPTO

Manish Sharma

Co-Founder & CPTO

Latest News & Insights

Stay updated with the latest trends and success stories in healthcare revenue cycle management

Compliance & Standards December 24, 2025

ABDM & NHCX: Transforming India's Digital Health Landscape

India's Ayushman Bharat Digital Mission (ABDM) and National Health Claims Exchange (NHCX) are revolutionizing healthcare interoperability and claims processing. Learn how these frameworks are setting new standards for RCM compliance and efficiency.

ABDM NHCX Digital Health
Read Full Article →

Get in Touch

Ready to optimize your revenue cycle? Contact us today to learn how we can help transform your practice.

Email

connect@caladriushealth.ai

Location

India, USA, Middle East