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Centralized Data Warehouse for a Multi-Site Hospital: Case Study


Centralized Data Warehousing for Multi-Site Hospitals: Unifying Healthcare Systems

Summary

A multi-site hospital system in the Middle East faced challenges with fragmented data systems, inefficient reporting, and compliance with regional healthcare regulations. Inginit designed and implemented a robust, secure data warehousing solution using PostgreSQL and Superset, enabling seamless data integration, improved decision-making, and faster reporting.


About the Client

• Industry: Healthcare (Hospital)

• Location: Saudi Arabia

• Organization Size: 5 hospitals with 1,000+ employees across clinical, administrative, and support services

• Primary Focus: Centralizing patient and operational data, ensuring compliance, and optimizing resource allocation


Client Requirements and Challenges

  1. Data Fragmentation Across Hospitals 

    Each hospital operated independently, with siloed data from EHRs, billing systems, and diagnostic tools, leading to duplication and inefficiencies.

  2. Compliance with Regional and Global Regulations

    The client needed to comply with Saudi-specific SeHE standards, in addition to HIPAA, for protecting sensitive patient data.

  3. Delayed Operational Insights

    Management struggled to access real-time data for decisions like staff allocation, patient flow, and financial performance.

  4. Inconsistent Reporting

    Reports for compliance and operational KPIs were generated manually, leading to inconsistencies and delays.

  5. Scalability Challenges

    The existing systems couldn’t scale to meet the growing data needs as patient numbers increased across multiple locations.



Solution Overview

Inginit implemented a centralized PostgreSQL-based data warehouse with automated ETL workflows, role-based access controls, and advanced reporting features. This solution provided a unified platform for operational and clinical data, ensuring compliance and efficiency.


Solution Details

1. Centralized Data Warehouse with PostgreSQL

  • Deployed PostgreSQL on a hybrid setup (on-premise with optional cloud backup) to store and manage data from all five hospitals.

  • Unified EHR, billing, and diagnostic data into a single platform, ensuring consistency and accessibility.

  • Designed data models tailored to SeHE and HIPAA requirements for compliance.


2. ETL Automation with Apache NiFi

  • Developed ETL pipelines to automate data ingestion, transformation, and validation from various systems.

  • Ensured real-time synchronization across hospitals using HL7 and FHIR standards for interoperability.

  • Reduced manual data entry errors and accelerated data consolidation processes by 70%.


3. Real-Time Reporting and Dashboards

  • Integrated Apache Superset as an on-premise reporting solution to provide real-time dashboards for patient metrics, financial performance, and resource allocation.

  • Customized Views for Stakeholders:

  • Executives: High-level KPIs, financial insights, and strategic decision-making data.

  • Clinical Teams: Patient flow, treatment outcomes, and actionable insights for care delivery.

  • Admin Teams: Resource utilization, staff scheduling, and operational efficiency metrics.

  • Advanced Visualization: Offered interactive charts and drill-down capabilities to explore detailed data effortlessly.

  • Scalable and User-Friendly: Designed to handle growing data volumes while enabling non-technical staff to independently navigate and utilize dashboards.

 

4. Compliance and Security

  • Encryption: Implemented AES-256 encryption for data at rest and TLS 1.3 for secure data transmission.

  • Role-Based Access Control (RBAC): Defined granular user roles to restrict data visibility based on responsibilities.

  • Audit Trails: Configured ELK Stack to log data access and modification activities for regulatory audits.


5. Scalability Optimization

• Used table partitioning to enhance query performance for large datasets.

• Designed the architecture to scale horizontally as the hospital system added new locations.


Key Outcomes

1. Faster Insights for Decision-Making

Real-time dashboards enabled management to make data-driven decisions on staff allocation and resource planning.

 

2. Streamlined Compliance

The centralized system met SeHE and HIPAA requirements, reducing the risk of penalties for non-compliance.

 

3. Enhanced Operational Efficiency

 Reports that previously took days to generate were now available instantly, saving time for administrative teams.

 

4. Cost Savings

Eliminated the need for third-party data consolidation tools, reducing IT costs by 25%.

 

5. Scalable Infrastructure

The system supported the addition of two new hospital locations with minimal adjustments.



Technology Stack

  • Data Warehouse: PostgreSQL

  • ETL Processes: Apache NiFi

  • Microsoft Presidio for data anonymization

  • Reporting Tool: Superset (on-premise)

  • Integration Standards: HL7, FHIR

  • Security: AES-256 encryption, TLS 1.3, ELK Stack for audit trails

  • Consent Management: Integrated module for patient approvals


Implementation Timeline

1. Week 1–2: Stakeholder consultations and architecture design

2. Week 3–5: ETL development and system setup

3. Week 6–8: Data migration and testing

4. Week 9–10: Dashboard customization and user training

5. Week 11: Full deployment and post-launch support



Client Feedback: “Inginit’s data warehouse has completely transformed how we operate across our network of hospitals. The centralized system is intuitive and reliable, helping us meet compliance and optimize resources efficiently.” — COO, Multi-Site Hospital System

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