Artificial intelligence is transforming healthcare, from diagnostic algorithms that spot diseases earlier to systems that reduce administrative burden.
But as hospitals race to adopt these tools, clinicians and patients alike are left wondering: How do we harness AI’s potential without losing the empathy and human connection at the heart of healing?
We asked our members for their thoughts on the following question:
How should healthcare organisations balance AI adoption with maintaining the human element of care?
Here’s what they had to say.
Orlando Agrippa, CEO of Sanius Health
The conversation around AI in healthcare has evolved. It is no longer about whether to adopt it, but how to do so in ways that strengthen trust, equity, and outcomes.
We have seen how AI can support clinical teams to deliver more proactive and personalised care, while helping patients feel more informed and confident in managing their health.
Across our ecosystem, and through our work with clinicians and research partners, AI-driven insights are improving outcomes, reducing avoidable admissions, and strengthening care pathways.
Members of our community across multiple conditions tell us that this visibility between clinical contact helps them feel more prepared and empowered to manage their conditions each day.
The balance lies in using technology to enhance care. Making every interaction more meaningful, more efficient, and centred on the needs of the individual.
Usama Dar, chief product and technology officer at CluePoints
The adoption of AI should be about turning artificial intelligence into human intelligence – not replacing humans but amplifying their capabilities through collaboration.
Machine learning models are already helping to unlock new insights and moving the industry away from inefficient manual processes.
As AI becomes increasingly integrated into healthcare, the key to unlocking its true value lies in scaling AI-human workflows. Organizations must implement collaboration models which ensure there is explainability, auditability and human control at every stage.
By doing so, we allow skilled healthcare professionals and trial teams to focus on what matters most – improving the healthcare of people worldwide.
Melissa Wallace, CEO and founding partner, Fierce Foundry
Balancing AI and the human element means using technology to close gaps, not create new ones.
In Women’s HealthTech, that means AI should lighten clinicians’ loads, uncover gender-specific insights, and enable earlier interventions, all while keeping human care at the centre.
Building feedback loops between patients, providers, and algorithms ensures technology stays grounded in the realities of women’s lived health experiences.
Wolfgang Hackl, CEO at OncoGenomX, Inc.
As AI reshapes healthcare, organizations across the value chain—from hospitals to pharma and payers—face a crucial challenge: preserving the human essence of care.
Ethical design, transparency, and bias prevention are essential to maintain trust and fairness.
Economically, AI promises efficiency but risks deepening inequalities if access remains uneven. Regionally, regulatory and cultural differences demand tailored strategies.
Beyond technology, the philosophical question remains: can empathy be automated?
The future of healthcare depends on AI augmenting—not replacing—human compassion, ensuring innovation serves patients’ dignity, not just data.
The most advanced care will still be deeply, unmistakably human.
Sherry Liu, CEO, Easy Healthcare Corporation | Easy@Home, Premom
The future of healthcare isn’t choosing between AI and human care—it’s about strategic integration.
Premom demonstrates this: as a data-DNA platform powered by AI, we eliminate guesswork and cognitive burden, allowing providers and patients to engage at the highest level. Our philosophy is simple: let AI master the data so humans can master the moment.
This accelerates discovery, personalises care, and most importantly, restores the human conversation to what it should be – expert guidance, not calculation.
