AI, Big Data & Telemedicine in Healthcare

Objective of Session – "Technology & Innovation in Healthcare"

Artificial Intelligence (AI), Big Data and Telemedicine are revolutionizing healthcare delivery by enabling predictive analytics, remote care and personalized medicine. This session explores how these technologies can bridge gaps in access, improve efficiency and enhance patient outcomes, particularly in underserved and resourcelimited settings.
Aligned with the theme “Health for All”, the session highlights how digital innovation can transform healthcare systems globally, ensuring equitable access and resilience in the face of emerging health challenges.

Focus Areas but not Limited to

AI in Healthcare: Clinical decision support, predictive diagnostics and personalized treatment pathways.

Big Data Analytics: Population health management, disease surveillance and evidencebased policymaking.

Telemedicine & Remote Care: Expanding access to healthcare in rural and underserved communities.

Digital Infrastructure: Cloud platforms, interoperability and cybersecurity in healthcare systems.

Ethics & Governance: Ensuring responsible, equitable and secure use of digital health technologies.

Core Objectives
SDG 3 – Good Health & WellBeing: Enhance patient outcomes and expand access through digital health solutions.
SDG 9 – Industry, Innovation & Infrastructure: Strengthen healthcare infrastructure with AI, big data and telemedicine innovations.

Expected Outcome

  • Scalable telemedicine models adaptable across diverse healthcare systems.
  • Best practice frameworks for AIenabled diagnostics and predictive analytics.
  • Policy recommendations for ethical and secure adoption of digital health.
  • Global collaboration networks advancing digital healthcare innovation.
  • Enhanced resilience of healthcare systems through technology integration.
Alert
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