HEALTHCARE CASE STUDY

National Pharma Traceability & AI Diagnostics

How the Ministry of Health achieved 99.9% pharmaceutical traceability and enhanced patient safety through blockchain and AI-powered diagnostics.

Client
Ministry of Health
Saudi Arabia
Industry
Healthcare
Public Health
Timeline
48 Weeks
End-to-End
Impact
99.9%
Traceability

The Challenge

Supply Vulnerability & Counterfeit Risk

Over-reliance on imported drugs created supply chain vulnerability and increased counterfeit medication risk.

Fragmented Hospital IT Systems

Disconnected hospital information systems limited clinical decision-making and patient care coordination.

Lack of Supply Chain Visibility

No unified visibility across pharmaceutical supply chain workflows from R&D to patient delivery.

Our Approach

Blockchain Traceability System

Implemented end-to-end blockchain traceability for the complete pharma lifecycle—from R&D and manufacturing through distribution to patient delivery.

Hyperledger Fabric, Provenance Tracking

Sovereign Health Cloud

Built secure, sovereign health cloud infrastructure using hybrid IBM/AWS architecture to ensure data sovereignty and scalability.

IBM Cloud, AWS, Kubernetes, Docker

AI Diagnostic Integration

Integrated AI diagnostic engines into hospital workflows to support clinical decision-making and improve patient outcomes.

TensorFlow, PyTorch, ML Services

Unified Data Exchange

Established unified data exchange across all healthcare facilities to eliminate silos and enable coordinated care.

HL7 FHIR, MuleSoft ESB, REST/GraphQL APIs

Measurable Outcomes

Pharma Traceability

Before
Limited
After
99.9%
Near-Perfect Improvement

Counterfeit Incidents

Before
Frequent
After
Near-Zero
~100% Improvement

Cost Savings

Before
Baseline
After
20-30%
20-30% Improvement

Patient Safety

Before
Standard
After
Enhanced
Significant Improvement

Project Timeline

1

Discovery & Assessment

6 weeks
  • Stakeholder interviews across ministry departments
  • Current system assessment and gap analysis
  • Supply chain workflow mapping
  • Security and compliance requirements gathering
2

Architecture & Design

8 weeks
  • Blockchain architecture design for pharma traceability
  • Sovereign cloud infrastructure planning
  • AI diagnostic engine integration design
  • Data exchange and interoperability framework
3

Development & Integration

20 weeks
  • Blockchain network deployment and smart contract development
  • Cloud infrastructure provisioning and configuration
  • AI diagnostic engine integration with hospital systems
  • Data exchange hub implementation
4

Testing & Validation

8 weeks
  • End-to-end blockchain traceability testing
  • AI diagnostic accuracy validation
  • Security penetration testing
  • User acceptance testing with healthcare professionals
5

Deployment & Training

6 weeks
  • Phased rollout across healthcare facilities
  • Staff training and change management
  • Performance monitoring and optimization
  • Ongoing support and maintenance

Technology Stack

Blockchain & Traceability

  • Hyperledger Fabric
  • Provenance Tracking
  • Smart Contracts
  • Full Lifecycle Tracking

Cloud Infrastructure

  • IBM Cloud
  • AWS
  • Kubernetes
  • Docker
  • Hybrid Architecture

AI & Machine Learning

  • TensorFlow
  • PyTorch
  • ML Services
  • Diagnostic Algorithms

Integration & Interoperability

  • HL7 FHIR
  • MuleSoft ESB
  • REST APIs
  • GraphQL
  • Kafka Streams

Data & Analytics

  • PostgreSQL
  • MongoDB
  • Snowflake
  • Elasticsearch
  • Time-Series DB

Security & IAM

  • Keycloak IAM
  • Zero-Trust Architecture
  • Kong API Gateway
  • Encryption

Ready to Transform Your Healthcare Operations?

Let's discuss how we can help you achieve similar results with blockchain traceability and AI-powered diagnostics.