Healthcare Analytics Platform
Built a HIPAA-compliant analytics platform that reduced patient readmission rates by 23% through predictive modeling.
Key Results
The Challenge
A regional healthcare network with 12 hospitals was struggling with high patient readmission rates, costing millions in Medicare penalties and impacting patient outcomes. Their existing analytics infrastructure couldn't process data fast enough to enable proactive interventions.
Key Pain Points
- Legacy data warehouse taking 48+ hours to process daily admissions data
- No predictive capabilities for identifying high-risk patients
- Manual compliance reporting consuming 40+ hours per month
- Siloed data across multiple EHR systems
Our Approach
We designed and built a modern, HIPAA-compliant analytics platform from the ground up, focusing on real-time data processing and predictive modeling.
Phase 1: Data Foundation
- Deployed a cloud-native data lake on AWS with encryption at rest and in transit
- Implemented real-time data ingestion from 4 different EHR systems using CDC patterns
- Created a unified patient data model with full lineage tracking
- Established automated PHI detection and masking workflows
Phase 2: Analytics Engine
- Built a machine learning pipeline for readmission risk prediction
- Trained models on 5 years of historical data across 2.3M patient encounters
- Implemented model monitoring for drift detection and bias analysis
- Created explainable AI dashboards for clinical staff
Phase 3: Operationalization
- Integrated risk scores into nursing workflows via EHR alerts
- Built automated compliance reporting for CMS requirements
- Deployed a care coordination dashboard for case managers
- Established 24/7 monitoring and incident response procedures
Technical Implementation
Architecture Highlights
- Data Ingestion: Apache Kafka for real-time streaming, AWS DMS for batch CDC
- Storage: S3 data lake with Delta Lake format for ACID compliance
- Processing: Apache Spark for batch, Flink for streaming analytics
- ML Platform: SageMaker with custom containers for model training and inference
- Security: AWS PrivateLink, KMS encryption, IAM fine-grained access control
Compliance Measures
- BAA signed with AWS covering all services
- Implemented audit logging for all data access
- Quarterly penetration testing and vulnerability assessments
- Staff security training and access certification program
Results
The platform went live after a 9-month implementation, with immediate impact on operations:
- 23% reduction in 30-day readmissions within the first year
- 10x faster data processing, from 48 hours to under 5 hours
- 75% reduction in compliance audit preparation time
- $2.4M annual savings from avoided Medicare penalties and operational efficiency
Client Testimonial
"Gojjo Tech understood our clinical workflows as well as the technical requirements. The platform they built isn't just fast—it's actually usable by our nursing staff, which is rare for analytics tools."
— Chief Medical Information Officer