AI in Health and Care: The Opportunity and the Risk

In this discussion, Kevin Feeley, Head of Talent and People Experience at Ramsay Health Care, is joined by Alex Kafetz, advisor to RLDatix, to explore both the opportunity AI presents and the very real risks organisations must navigate.

Drawing on Ramsay’s experience as a large, international healthcare provider, the session focuses on governance, data readiness, workforce impact, and why “human‑in‑the‑loop” decision‑making remains essential, particularly in clinical and workforce settings.

In this session, you’ll hear practical insight on:

• Why AI adoption must be governed, not rushed: Ramsay has established a formal AI governance group to review current use, assess new ideas, and control how AI is piloted and scaled, recognising that innovation without oversight introduces risk.
• The difference between opportunity and risk in healthcare AI: AI can unlock new ways of working, from improving access and reducing administrative burden to supporting safer, more predictive care, but only when data quality, transparency, and accountability are in place.
• Low‑risk, scalable use cases that build confidence: Early focus areas include back‑office and workforce processes, such as contact centres, HR queries, and rostering support, where benefits can be realised without compromising safety.
• Why data readiness matters more than technology readiness: AI is only as reliable as the data that underpins it. The discussion highlights the danger of switching on AI tools before organisations are confident in the quality and consistency of their data.
• Human‑in‑the‑loop decision‑making: Whether in rostering, recruitment, or clinical settings, AI is positioned as a decision support tool, not a replacement for professional judgement.
• Clinical safety and predictive insight: Examples include AI‑assisted diagnostics and predictive analytics that help identify patient risk earlier, enabling preventative action rather than retrospective review.
• Workforce impact and digital literacy: One of the biggest barriers to effective AI adoption is not technology, but skills, confidence, and change management, across frontline teams and senior leadership alike.

Watch the full discussion below to hear firsthand perspectives on how health and care providers can balance innovation with assurance, and what responsible AI adoption looks like in practice.

Kevin Feely

Ramsay Health Care UK

Alex Kafetz

Independent Consultant