Transform your business with AI-powered process optimization
Use Cases
Revenue Cycle

Revenue Cycle Optimization

Intelligent revenue cycle management with 68% denial rate reduction and 42-day collection cycle.

Business Challenge

A health system with $2.8B annual revenue experiences 12% claim denial rates, 95-day average collection time, and $340M in outstanding receivables, with 1,100 FTEs managing revenue cycle.

Agent Collaboration Architecture

Detailed Agent Workflow

1. Sindhan Discover - Revenue Process Mining

  • Input: Claims data, denial records, payment histories
  • Processing: Identifies revenue leakage points and process inefficiencies
  • Output: Denial root causes, process gaps, opportunity analysis
  • Finding: Discovered $45M in preventable revenue leakage

2. Sindhan Analyze - Documentation and Coding

  • Input: Clinical documentation, coding data, payer rules
  • Processing: Analyzes documentation completeness and coding accuracy
  • Output: Documentation gaps, coding opportunities, compliance risks
  • Impact: Identifies $2.3M monthly in undercoding

3. Sindhan Predict - Financial Forecasting

  • Input: Claim characteristics, payer history, patient factors
  • Processing: Predicts denial probability and payment timing
  • Output: Denial risk scores, payment predictions, collection forecasts
  • Accuracy: 91% accuracy in denial prediction

4. Sindhan Decide - Revenue Optimization

  • Input: Predictions, payer policies, resource constraints
  • Processing: Optimizes coding, prioritizes appeals, targets collections
  • Output: Coding recommendations, appeal strategies, work prioritization
  • Intelligence: Maximizes revenue while maintaining compliance

5. Sindhan Execute - Automated Processing

  • Input: Optimized claims, appeal strategies, collection plans
  • Processing: Automates claim submission and follow-up
  • Output: Submitted claims, filed appeals, patient communications
  • Automation: 83% of claims processed without manual intervention

6. Sindhan Optimize - Continuous Enhancement

  • Input: Payment outcomes, denial trends, process metrics
  • Processing: Learns from outcomes to improve future performance
  • Output: Enhanced algorithms, process improvements, training needs
  • Learning: 5% monthly improvement in first-pass rate

7. Sindhan ROI & Strategy - Revenue Leadership

  • Input: Financial performance, payer relationships, market dynamics
  • Processing: Strategic revenue cycle planning and optimization
  • Output: Payer strategies, technology investments, process redesign
  • Vision: Guides transformation to autonomous revenue cycle

Implementation Results

Financial Performance

  • Denial rate reduced from 12% to 3.8%
  • Days in AR decreased from 95 to 42
  • Cash collections increased by $127M annually

Operational Efficiency

  • FTEs reduced from 1,100 to 420
  • Cost to collect decreased by 68%
  • Clean claim rate improved to 97%

Strategic Benefits

  • Payer contract negotiations improved by data insights
  • Revenue predictability increased by 84%
  • Working capital requirements reduced by $230M

Key Features

Automated Coding

  • AI-powered Coding: Intelligent medical coding assistance
  • Clinical Documentation: Real-time documentation guidance
  • Code Validation: Automated compliance checking
  • Charge Capture: Comprehensive charge capture optimization

Denial Management

  • Root Cause Analysis: Automated denial reason analysis
  • Appeal Automation: Intelligent appeal generation
  • Payer Pattern Analysis: Payer-specific denial patterns
  • Workflow Optimization: Streamlined denial workflows

Patient Financial Services

  • Payment Plans: Automated payment plan setup
  • Financial Counseling: Pre-service financial counseling
  • Collections: Intelligent collections prioritization
  • Self-service Portal: Patient payment portal

Getting Started

Ready to optimize your revenue cycle?