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?