PiR2-IT Digital Health Transformation · demo Built-in agents

Pillar 5

Responsible AI & Cybersecurity Frameworks

Using AI where it adds value, with accountability, and protecting health data against misuse and attack.

Our approach

Technology governance, safety and risk management. As AI scales into clinical decision support and epidemiological forecasting, responsible governance is critical. We help client governments establish ethical AI oversight, auditability for algorithmic bias and explainability (for example with SHAP or LIME), data protection, and zero-trust cybersecurity architectures that protect sensitive patient data.

AI-Enabled Clinical & Operational Support

Machine-learning models for diagnostics, resource forecasting and clinical decision support, deployed under governance. Software packages: MLflow model registry, Validation and monitoring pipeline.

  • Identify high-value, lower-risk AI use cases (e.g. forecasting, triage support)
  • Set data readiness and local validation requirements
  • Establish an AI model registry with local validation before deployment
  • Monitor drift and clinical performance
  • Scale validated AI with human-in-the-loop and post-market surveillance
  • Deliverable: AI use-case portfolio with risk classes
  • Deliverable: Local validation protocol
  • Deliverable: Model performance and drift reports

Accountability & Redress Mechanisms

Ethical guidelines, algorithmic bias audits, model explainability and recourse mechanisms for patients. Software packages: SHAP / LIME explainability, Fairlearn bias audit, Public AI register.

  • Adopt AI ethics principles aligned with WHO guidance
  • Assign an accountable owner to every AI system
  • Run algorithmic impact and bias audits before and after deployment
  • Set up a complaint and redress channel
  • Publish transparency reports and a public AI system register
  • Deliverable: AI ethics framework
  • Deliverable: Algorithmic impact assessments
  • Deliverable: Redress procedure and transparency reports

Data Protection & Cybersecurity

Protection of personal health information in compliance with privacy law and recognised security standards. Software packages: Keycloak (IAM / SSO), Wazuh / OpenSearch SIEM, PKI.

  • Classify health data and define a minimum security baseline (ISO 27001 / 27799)
  • Implement identity & access management with MFA for clinical systems
  • Set up SOC / SIEM monitoring and incident response linked to the national CERT
  • Make DPIAs, encryption and audit logging mandatory
  • Run red-team and resilience exercises; move to zero-trust architecture
  • Deliverable: Security baseline (ISO 27001 / 27799)
  • Deliverable: DPIA template and register
  • Deliverable: SOC runbook, incident response plan, penetration test reports

Illustrative countries and data. Independent PiR2-IT tool aligned with the six pillars of health digital transformation used in World Bank Group HNP practice; not an official World Bank Group product.

Digital Health Transformation Navigator — live demo

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