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Future Health Summit (FHS)

Where healthcare’s future is decided

Future Health Summit is an invitation-only leadership forum bringing together senior healthcare executives, policymakers, innovators, and investors to explore how AI will shape global health systems. 

Through private, moderated roundtables, participants engage in closed-door discussions on real-world challenges, policy priorities, and the responsible, scalable adoption of AI across healthcare.

AI: Signals, Shocks and Strategic shifts

This year’s theme explores three dimensions defining the decade ahead, and how leaders need to react:

Signals
Emerging patterns, data and early indicators shaping the future of care.
Shocks
Disruptions, risks and inflection points created by rapid AI adoption.
Strategic shifts
The decisions and investments needed to build resilient, intelligent and equitable health systems.
Future Health Summit 2026
Why this summit matters
FHS is a strategic platform for leaders who shape policy, investment and innovation
Roundtables curated for impact

Each roundtable brings together up to 8 carefully selected senior leaders for a private, invitation-only dialogue focused on a single strategic challenge shaping AI in healthcare.

 

The goal is simple: fewer presentations, more real conversation and decisions.

Roundtable 1

Data Quality, Ownership & Cybersecurity

This roundtable examines how health systems can improve data accuracy, ownership, and security to enable AI at scale. Discussions focus on national data standards, stewardship responsibilities, privacy-preserving access, and cybersecurity frameworks across public and private healthcare systems.

Key Stakeholders:

  • Chief Data Officers (CDO)
  • Chief Information Security Officers (CISO)
  • Chief Digital Health Officers
  • Directors of National Health Information Exchange
  • AI & Data Governance Regulators
  • Hospital CIOs & Data Strategy Leads
  • Cybersecurity Architecture Directors
Roundtable 2

AI in Clinical Decision-Making and Workforce Evolution

This discussion explores how AI can augment clinical decision-making while preserving human oversight. Discussion points include workforce readiness, evolving clinical roles, training needs, and the integration of AI into everyday clinical workflows.

Key Stakeholders:

  • Hospital CEOs / Chief Clinical Executives
  • Chief Medical Officers (CMO)
  • Directors of Clinical Informatics
  • Heads of Medical Education & Workforce Transformation
  • Chairs of Clinical Departments (Radiology,
    Oncology, Internal Medicine, Surgery)
  • Senior Clinicians using AI-enabled tools
  • Directors of Digital Health Training & Professional Development
  • AI Clinical Product Leads from industry
Roundtable 3

Infrastructure and Interoperability for AI Scalability

This roundtable focuses on the digital foundations required to scale AI across healthcare systems. Discussion addresses infrastructure readiness, interoperability, cloud strategy, and cross-sector partnerships needed for sustainable and connected AI ecosystems.

Key Stakeholders:

  • Chief Information Officers (CIO)
  • Chief Technology Officers (CTO)
  • Heads of Digital Infrastructure / Cloud Strategy
  • Directors of Interoperability & Health System Integration
  • Payer & Insurance Digital Strategy Leaders
  • Hospital System Operations Executives
  • Senior Engineers/scientists from global tech firms
  • National Digital Transformation Program Leaders
Roundtable 4

Value-Based Care, ROI & Financing Models for AI

This discussion examines how AI can deliver measurable value across healthcare systems. Topics include ROI measurement, reimbursement and financing models, value-based care alignment, and incentives that support long-term, responsible AI adoption.

Key Stakeholders:

  • Chief Financial Officers (CFO) of Health Systems
  • Payer CEOs / Insurance Medical Directors
  • Directors of Health Economics & Outcomes Research (HEOR)
  • Heads of Reimbursement & Payment Innovation
  • Strategy & Value-Based Care Directors
  • Pharma / Medtech Market Access Executives
Roundtable 5

Governance, Regulations & Responsible AI

This roundtable explores the governance frameworks required to ensure safe, transparent, and accountable AI deployment. Discussions focus on regulation, ethics, risk management, and balancing innovation with public trust.

Key Stakeholders:

  • Policy Leaders responsible for digital regulation
  • Heads of National AI Regulatory Authorities
  • Chief Legal Counsels & Data Protection Officers
  • Directors of Ethics & Compliance
  • Regulatory Affairs Executives
  • Health Technology Assessment (HTA) Leaders
  • Hospital Governance & Quality Leaders
  • AI Safety & Responsible Innovation Directors

Get in touch

Jisha John

Head of Delegate Sales

Lorena Diaz Palle

Sponsorship Director