FHIR Schema Validation
We defined strict FHIR schema validation rules to ensure that patient event data from all three EHRs conformed to HL7 standards, eliminating structural mismatches and ensuring interoperability.
Case Study
HIPAA-Grade Data Confidence for Regional Telehealth
How Meadowlark Health standardized patient data across three EHR integrations to ensure compliance and clinical accuracy.
The Challenge
Fragmented data across three EHRs
Meadowlark Health, a regional telehealth platform with 280 employees, relied on an AWS data lake to aggregate patient records. However, integrating data from three distinct EHR systems (Epic, Cerner, and Athenahealth) created a chaotic data landscape that threatened compliance and reporting accuracy.
Inconsistent Patient Events
Patient event data was arriving with varying schemas and missing fields. This inconsistency made it impossible to generate accurate quality metrics for clinical reporting, leading to confusion during board reviews.
Compliance Risks
Without a unified view, the team struggled to ensure that PHI (Protected Health Information) was being handled correctly during extraction and transformation, creating a potential gap in their audit trail.
The Solution
Validating FHIR and PHI safety at scale
Valido implemented a healthcare-specific validation strategy to ensure data integrity and compliance without slowing down clinical workflows.
PHI-Safe Row-Level Checks
Valido runs row-level checks directly in the AWS data lake to verify that PHI is correctly masked or encrypted before it reaches downstream analytics, ensuring strict adherence to HIPAA requirements.
Freshness Monitoring
Daily clinical extracts are monitored for freshness, ensuring that the data lake is always up-to-date for real-time clinical decision support and preventing stale data from entering the pipeline.
Implementation
A 3-week path to production
Custom Healthcare Templates
Valido's engineering team created custom rule templates tailored to Meadowlark's specific clinical data model, accelerating the setup process and reducing the learning curve for the data team.
Integration: Seamless connection via Redox, Meadowlark's primary EHR middleware, allowing for real-time data validation as data flows into the AWS data lake.
Onboarding Process
The entire onboarding took just three weeks. The team started with a pilot on the Epic integration and expanded to Cerner and Athenahealth within the first month.
No custom agents were needed; Valido leveraged Meadowlark's existing Redox API connections to validate data integrity automatically.
Results
Measurable impact on compliance and operations
73%
Reduction in data correction tickets
4 days
Audit preparation time (down from 3 weeks)
100%
FHIR schema compliance achieved
3 EHRs
Unified under a single quality score
Testimonials
What the team says
"Valido gave us the visibility we needed to prove our data integrity to auditors. The ability to run PHI-safe checks directly in our AWS environment was a game-changer for our compliance posture."
Sarah Jenkins
VP of Compliance, Meadowlark Health
VP of Compliance, Meadowlark Health
"We went from debugging inconsistent schemas to having a single source of truth for our clinical data. The 3-week implementation was faster than we expected, and the ROI is already visible in our engineering velocity."
David Chen
Director of Data Engineering, Meadowlark Health
Director of Data Engineering, Meadowlark Health
See how Valido works for healthcare teams
Ensure your clinical data is accurate, compliant, and ready for analysis. Schedule a demo with our healthcare specialists.