Case Study: Alvera Accelerates IT & Analytics for Growing Florida Clinic Rollup

Enabling rapid growth from 6 to 17 locations with diverse EMRs and data sources

Client Overview

Rapid expansion with complex data needs

An emerging multi-location healthcare provider in Florida rapidly expanded from 6 to 17 locations within a single year. Their network includes diverse Electronic Medical Records (EMRs) and numerous non-EMR data sources, requiring seamless integration for analytics, operational efficiency, and future AI-driven workflows.

Challenges

Complex integration needs across multiple systems

Multiple EMRs across growing clinics: The client needed to integrate data from both known and unknown EMR platforms across their rapidly expanding network of clinics.
Diverse non-EMR data streams: ADT feeds, risk contract rosters, IP telephony, fax systems—supporting over 200 front-office staff needed to be integrated into a unified system.
Costly and slow integration: Traditional integration approaches were costly and slow, risking delays in analytics and operational improvements.
Patient identity resolution: The client needed accurate patient identity resolution and data unification across multiple sources.

Solution

Alvera Data Activation Platform with AI Copilot

Rapid Onboarding: Rapid onboarding of new clinics and diverse data sources with intelligent, adaptive automation.

Benefits:

• Quick clinic integration

• Adaptive automation

• Minimal setup time

• Seamless scaling
AI-Powered Data Processing: Automated data ingestion and normalization driven by AI, minimizing manual effort and errors.

AI Capabilities:

• Intelligent normalization

• Error reduction

• Automated processing

• Format standardization
Master Data Management: Master data management module with advanced AI-powered duplicate resolution and identity matching.

Data Science Benefits:

• Duplicate elimination

• Identity resolution

• Cross-system matching

• Data quality assurance

Results

Transformative outcomes across the organization

Metric	Result
Rapid Expansion Support	Alvera onboarded the client's 17 locations, growing from 6, within a year. Today, the platform handles ~2,500 patient appointments per day.
Known EMRs Onboarding	Less than 1 week onboarding time.
Unknown EMRs Onboarding	Approximately 3 weeks onboarding time.
Non-EMR Sources Onboarding	Under 1 week for ADT feeds, risk rosters, telephony, and fax systems.
Cost Savings	Delivered analytics integration at a fraction of competitor costs. Saved approximately 10% of the client's analytics salaries within the first 3 months of deployment.
Data Accuracy	The AI-powered master data module achieved such high precision that human-in-the-loop corrections were required only in extremely rare cases (e.g., twins with identical names and phone numbers).
Advanced Use Cases	The client recently began piloting Alvera's AI-driven agentic workflows to streamline insurance-dependent, labor-intensive processes—starting with custom workflows for patients under risk contracts.
Operational Impact	Real-time insights and operational optimizations run continuously on Alvera's platform, supporting daily clinical and administrative decision-making.

Conclusion

Alvera proved to be a critical enabler for this Florida clinic rollup's fast growth, complex data landscape, and AI-driven future. By combining EMR and non-EMR data with intelligent AI Copilot automation and a highly accurate master data module, the client unlocked real-time analytics, operational efficiencies, and automated workflows—all at significantly lower cost and time than traditional methods.