System Architecture & Integration
The cloud-based architecture utilized AWS services including RDS for the primary database, S3 for document storage, and ElastiCache for performance optimization. We implemented HL7 v2.5 and FHIR R4 interfaces to integrate with 12 external systems including Quest Diagnostics, LabCorp, pharmacy networks, and imaging centers. Real-time bidirectional sync ensured lab results appeared in patient charts within minutes of completion.
Specialty-Specific Customizations
Each specialty received customized templates and workflows. Cardiology got integrated ECG interpretation tools and stress test protocols. Orthopedics received surgical planning modules with 3D imaging integration. Oncology teams gained chemotherapy ordering with drug interaction checking and clinical trial matching. We built 87 specialty-specific templates while maintaining consistency in the core patient record structure.
Data Migration & Quality Assurance
We developed Python-based ETL pipelines that normalized data from five disparate sources into a unified schema. The deduplication algorithm used probabilistic matching on patient demographics (name, DOB, SSN, address) to identify and merge 127,000 duplicate records. A dedicated QA team of 6 clinical staff reviewed flagged records, achieving 99.7% accuracy. Historical notes, lab results, and imaging reports dating back 10 years were successfully migrated and made searchable.
Training & Change Management
We conducted 40 hours of hands-on training per provider, using specialty-specific scenarios. Super users from each clinic received advanced training to serve as on-site champions. We created a comprehensive knowledge base with 150+ video tutorials and maintained on-site support staff for the first 2 weeks post-go-live at each clinic. User adoption reached 95% within 3 weeks of each clinic's launch.