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Meet Taylor
AI Revenue Cycle Analyst
Transform Your Healthcare Financial Performance with Advanced AI-Powered RCM Optimization and Analytics
Taylor is the most sophisticated and trusted AI revenue cycle analytics solution that automates RCM performance optimization, financial analytics, and revenue cycle intelligence.
Comprehensive RCM Performance Analytics
Taylor's AI continuously monitors your RCM performance, identifying optimization opportunities and financial bottlenecks across your entire revenue cycle.
- Charge capture accuracy and completeness rates
- Claims submission and first-pass acceptance rates
- Account receivables aging and collection performance
Real-Time Dashboard
Taylor's AI revenue cycle analysis dashboard provides comprehensive RCM insights including:
- Key Performance Indicators (KPIs) tracking across providers, multiple facilities and specialties
- Payer scorecards, benchmarks, performance analysis, contract monitoring, and staff productivity analytics
- Chat with Taylor in natural language to find insights, create dashboards on demand and get your questions answered
Predictive Revenue Cycle Optimization Technology
Taylor's machine learning algorithms analyze historical RCM data and market trends, predicting revenue cycle performance before issues impact cash flow.
- 25% reduction in accounts receivable days outstanding
- $250,000+ annual revenue optimization per provider
- 90% improvement in cash flow predictability and financial planning
Results we’re proud of
AI Revenue Cycle Optimization vs Traditional RCM Analysis
Speed
Real-time claim and denial insights
Manual and delayed
Accuracy
High pattern-driven accuracy
Prone to human error
Scalability
Effortless scale, intelligent automation
Resource-heavy scaling
Adaptability
Learns and adapts continuously
Static, requires training
Compliance
Proactive risk identification and alerts
Reactive
Why Healthcare Organizations Choose AI Revenue Cycle Analysis
- Average healthcare organization loses $3M annually to RCM inefficiencies.
- 82% of providers report difficulty identifying revenue cycle bottlenecks.
- Only 45% of healthcare organizations have comprehensive RCM visibility.
- AI revenue cycle analysis solutions improve efficiency by 35-45%.
Taylor stands apart from traditional RCM analysis by prioritizing comprehensive analysis, actionable optimization, and measurable financial performance
Actionable Insights
Taylor works with CombineHealth's other AI solutions such as Amy (AI Medical Coder), Mark (AI Medical Biller) etc. to improve coding, billing and other parts of revenue cycle, making the insights actionable, not just limited to data.
Proactive Intelligence
What is proactive revenue cycle management? Taylor predicts issues before they impact cash flow, proactively recommending optimization, intelligent resource allocation guidance, and preventing revenue leakage.
Continuous optimization
How does AI adapt to changing healthcare economics? Taylor updates optimization strategies based on industry trends, and changing reimbursement models across Medicare, Medicaid, and commercial payers.
Get deeper visibility in your revenue cycle with AI today!
Ready to experience the future of AI-powered revenue cycle optimization? Schedule a call with your experts to learn more.
Join hundreds of providers revolutionizing their financial performance with Taylor.
