Machine Readable File Analytics for Payers
Transform CMS Coverage Transparency Regulation into Strategic Advantage
Benchmarking Market Competitive Edge
The Transparency in Coverage Act presents an unprecedented opportunity for health plans to benchmark against valuable market data and generate competitive insights.
Analytics on publicly available Machine Readable Files (MRFs) in-network, OON allowed amount, hospital standard charges can empower health plans with strategic decision support such as:
- Contracted rate analysis against competitors and regional benchmarks
- Adjustments needed to existing negotiated rates
- Network design optimization opportunities
- Service or provider-specific value based contract transition opportunities
Learn more about MRF Analytics for Payers
Fast forward, MRF data can also be combined with core operations data to inform key decisions across the payer value chain such as:
- Actuarial decisions for optimized benefit design
- Value based contract modelling and narrow network design
- QPA analytics for out of network reimbursements
- AEOB analytics for ‘No Surprises’ enablement
- Agent / self insured group sales insights
How can we help ?
CitiusTech can deliver an end to end MRF Analytics solution with AI-augmented decisions across payer operational workflows complemented with MRF data architecture, data science & payer consulting.
Machine Readable File Analytics for Payers: Advantages
CitiusTech MRF Analytics solution has been designed to enable Transparent exchange, Proactive coordination & Enhanced decisions that ultimately influences Payer Enterprise Outcomes.
Comprehensive assessment for MRF data readiness
Subject matter expertise for defining MRF data architecture
Out of the box reports with library of key metrics & AI/ML models
Rapid prototyping framework for model operationalization (MLOps)
Comprehensive assessment for MRF data readiness
Subject matter expertise for defining MRF data architecture
Out of the box reports with library of key metrics & AI/ML models
Rapid prototyping framework for model operationalization (MLOps)
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Get to know more about the services we offer. We are glad to help you.