MARK FAHAD

HIPAA-compliant healthcare analytics platform with dimensional modeling, CDC from clinical systems, and data quality framework with comprehensive lineage tracking.

Healthcare Analytics with Data Governance

  • Category : Healthcare / Data Governance
  • Technologies : AWS, Airflow, Kimball, CloudWatch
  • GitHub : View Repository
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Project Overview

Developed a HIPAA-compliant healthcare analytics platform using dimensional modeling and CDC from clinical systems. Implemented comprehensive data quality framework with lineage tracking and built Airflow workflows with Grafana observability managing 100+ daily processes. The platform processes patient records for clinical analytics while maintaining strict regulatory compliance and security standards.

HIPAA-Compliant Architecture

Built secure ETL pipelines on AWS with appropriate encryption, access controls, and audit logging for PHI/PII handling. Implemented data lake on S3 with encryption at rest and in transit, maintaining security for sensitive healthcare information. All components designed with HIPAA compliance requirements including audit trails and access controls.

Dimensional Data Modeling

Designed dimensional data models following Kimball methodology optimized for healthcare dashboard query performance. Implemented slowly changing dimensions for tracking patient history, fact tables for clinical events, and conformed dimensions ensuring consistency across the enterprise. The model supports complex analytics including patient outcomes, treatment effectiveness, and resource utilization.

CDC from Clinical Systems

Implemented Change Data Capture pipelines capturing real-time changes from EHR systems ensuring data availability for clinical decisions. Integrated with Epic Clarity, HL7 feeds, and FHIR APIs for comprehensive clinical data ingestion. CDC pipelines maintain data freshness without impacting source system performance, enabling near real-time analytics.

  • 01HIPAA Compliance

    Secure architecture with encryption, access controls, and comprehensive audit trails.

  • 03Data Quality

    Python-based framework validating completeness and accuracy across pipeline stages.

  • 02CDC Integration

    Real-time sync from EHR systems including Epic Clarity and FHIR APIs.

  • 04Airflow Orchestration

    Managing 100+ daily workflows with Grafana monitoring and automated alerts.

Results & Impact

The healthcare analytics platform reduced manual data errors by 40% through automated validation and reconciliation. Improved clinical decision-making with near real-time data availability from EHR systems. Successfully managing 100+ daily ETL workflows with high reliability and comprehensive observability. The platform maintains HIPAA compliance while providing clinical teams with actionable insights improving patient outcomes and operational efficiency.

frequently asked questions

  • How is HIPAA compliance ensured?
    Comprehensive security with encryption at rest and in transit, fine-grained access controls, detailed audit logging for all PHI access, Unity Catalog for governance, and regular compliance audits ensuring HIPAA requirements are met.
  • What clinical systems does it integrate with?
    Integrates with Epic Clarity databases, HL7 message feeds, FHIR APIs, and other EHR systems using CDC for real-time data capture. Supports standard FHIR resources ensuring interoperability across healthcare systems.
  • How is data quality managed?
    Custom Python framework validates completeness, accuracy, and consistency at every pipeline stage. Automated reconciliation against source systems, data quality dashboards with Grafana, and alerting for quality issues ensuring clinical data reliability.
  • What technologies power the platform?
    AWS S3 for data lake, Databricks with Unity Catalog for processing and governance, Airflow for orchestration of 100+ daily workflows, Grafana for monitoring, and Python for data quality validation and transformation.
  • What were the clinical outcomes?
    40% reduction in manual data errors, near real-time clinical decision support, 100+ daily ETL workflows with high reliability, improved patient outcomes through data-driven insights, and comprehensive clinical analytics dashboards.

Contact For Opportunities

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