The client is a regional hospital network managing clinical data across 18 legacy EMR systems. Data fragmentation and lack of interoperability limited care coordination, analytics, and population health initiatives. To overcome these challenges and build a unified, scalable data platform, the organization partnered with Zymr.
The hospital network operated multiple legacy EMR systems, resulting in siloed clinical data and inconsistent formats. This fragmentation made it difficult to establish a single source of truth for patient records and limited real-time data access across care teams.
Interoperability challenges further complicated data exchange, with HL7 v2 messages often containing errors or inconsistencies. This increased dependency on manual data validation and IT intervention, slowing down clinical and operational workflows.
The absence of a standardized data model also restricted advanced analytics and population health initiatives. Clinical teams faced delays in generating insights, as data preparation required significant time and effort.
Additionally, ensuring compliance with HIPAA regulations while managing large volumes of PHI across systems added complexity to governance, security, and audit requirements.
Zymr enabled the hospital network to unify fragmented clinical data into a scalable FHIR-based lakehouse architecture, improving data quality, accessibility, and analytics capabilities.
Zymr designed and implemented a modern healthcare data platform using a medallion lakehouse architecture to standardize, secure, and operationalize clinical data.