An AI-Enabled Full-Stack Digital Architecture for Pandemic Preparedness and Response

This publication proposal presents the design and development of an AI-enabled full-stack digital platform for pandemic preparedness and response. The proposed system integrates a patient-facing symptom-assessment interface, machine-learning-based disease-risk prediction and triage, clinician dashboards, and automated escalation workflows. It aims to support early identification of high-risk patients, improve clinical decision-making, prioritise healthcare resources, and enable timely referrals during pandemic situations. The work also addresses system security, data privacy, model performance, usability, scalability, and the ethical use of AI in healthcare.