Multi-Practice RCM Automation for MSOs and Group Practices
Multi-practice RCM automation manages revenue cycle workflows across multiple practices, locations, or facilities from a single control plane. Sarva provides network-wide visibility into KPIs while allowing practice-specific configuration — so MSOs, group practices, and billing companies can standardize automation while respecting each practice's unique EHR, payer mix, and workflow.
Manage Your Multi-Practice RCMThe Business Problem
Management Services Organizations and multi-location group practices manage revenue cycles across practices with different EHRs, payer contracts, coding patterns, and billing workflows. Standardizing processes across practices is operationally complex. Without network-level visibility, MSOs cannot benchmark practice performance, identify underperforming locations, or share best practices across the network.
Affected Team
MSO leadership, group practice administrators, billing directors, and CFOs. Network-level revenue cycle management requires both standardization and practice-level flexibility.
How It Works
Current Manual Workflow
Each practice manages its own revenue cycle independently. The MSO collects monthly reports from each location, consolidates them into a network view, and identifies outliers manually. The process is slow, inconsistent, and provides no real-time visibility. Best practices identified at one location take months to propagate to others.
Automated Workflow with Sarva
Sarva connects to each practice's EHR and practice management system, standardizing revenue cycle automation across the network while respecting practice-specific configurations. Network-level dashboards show KPIs by practice, by payer, and by provider. Underperforming practices are flagged automatically, and successful workflows at one location can be deployed to others with a few clicks.
Inputs
- EHR and PM system connections per practice
- Payer contracts and fee schedules by location
- Provider and facility configurations
- Network benchmarking baselines
Outputs
- Network-wide KPI dashboard by practice/location
- Practice-level performance benchmarking
- Standardized automation workflows deployed across practices
- Cross-practice denial pattern analysis
- Best practice identification and propagation
- Consolidated financial reporting
Human Oversight
MSO leadership configures network-level policies and benchmarks. Practice-level managers retain control over practice-specific configurations. Sarva provides the visibility and automation — humans make strategic decisions about network standardization and practice-specific exceptions.
Security Considerations
Data isolation between practices is enforced — Practice A cannot see Practice B's data unless explicitly authorized by the MSO. Role-based access controls support both network-level and practice-level permissions. All data encrypted. HIPAA BAA covers all practices under the MSO agreement.
Integration Considerations
Sarva integrates with multiple EHR and PM systems simultaneously — athenahealth at one practice, eClinicalWorks at another, Tebra at a third. The platform normalizes data across systems for network-level reporting while preserving practice-level detail. API connections are established per location during onboarding.
Limitations
Multi-practice implementation requires more onboarding time than single-practice — typically 2–4 weeks depending on the number of practices and EHR diversity. Practices with highly customized or legacy EHR systems may require additional integration work. Network-level benchmarking requires 60–90 days of data to establish meaningful baselines.
Key Performance Indicators
See how this workflow applies to your practice.
Manage Your Multi-Practice RCMRelated Connectors
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Frequently Asked Questions
Yes. Sarva integrates with multiple EHR and practice management systems simultaneously. One practice can use athenahealth while another uses eClinicalWorks — Sarva normalizes the data for network-level reporting while preserving practice-level workflows.
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Ready to automate your revenue cycle?
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