Rethinking Healthcare: AI as a Catalyst for Change

Author: Dr. Alex Ng, President of Tencent Healthcare, Head of Tencent Inclusive Health Lab

Global healthcare faces a stark and persistent challenge: a projected shortage of over 11 million healthcare workers by 2030, according to the WHO. This isn't just about a lack of staff—it reflects a profound disparity in expertise that costs lives, with up to 8.4 million deaths each year in low- and middle-income countries attributed to poor-quality care.

Even where providers are plentiful, expertise distribution remains deeply uneven. A village doctor with vocational training, for example, cannot offer the same specialized care as a hospital-based expert. Cultural and emotional barriers, such as the stigma around mental health, can further limit access to quality care.

This urgent reality demands a new approach. AI is a transformative force that is already beginning to bridge critical gaps. By complementing (rather than replacing) clinical judgment, AI creates opportunities for more personalized, accessible, and effective healthcare.

AI for Mental Healthcare

Take mental healthcare as an example. With depression and anxiety affecting over 300 million people, resources are critically scarce. Psychiatrists make up less than 2 percent of physicians worldwide.

Measures such as periodic bias audits to prevent discriminatory outputs and misuse detection for sensitive topics are essential for protecting emotional well-being and respecting the boundaries of human-AI interaction
Alex Ng

In this context, AI-powered chatbots are emerging as a useful tool. While not a replacement for human therapists, they can offer immediate support and play a role in identifying individuals who may be at higher risk. These tools can then help connect users to licensed professionals, extending the reach of mental health services to those who might otherwise go untreated.

Recent advancements in AI are also focused on building emotional intelligence (EQ) into foundational models. The goal is to make these systems more “empathetic and reflective” by recognizing patterns of distress and responding with appropriate empathy. These EQ-enhanced tools could potentially complement clinical support and deliver more human-centered care.

Measures such as periodic bias audits to prevent discriminatory outputs and misuse detection for sensitive topics are essential for protecting emotional well-being and respecting the boundaries of human-AI interaction. This ensures we are responsibly promoting healthy engagement, not encouraging over-reliance on AI for crisis intervention.

A Path Forward for Responsible Innovation

We believe innovation must be integrated with robust safeguards for patient privacy, fairness, and transparency. Our approach includes:

Clinical Oversight: Collaborating with medical organizations to ensure clinical accuracy through continuous professional review, while equipping healthcare workers with AI tools that enhance their efficiency.
Stringent Safeguards: Adopting a "safety-by-design" approach to proactively address risks such as hallucinations and misinformation. Also, prioritizing patient trust through robust protections for sensitive health data and privacy safeguards at every step.
Comprehensive Integration: Building end-to-end platforms that seamlessly connect online and offline healthcare experiences. This includes integrating multiple touchpoints, such as reliable health information platforms, digital triage, and personalized health management.
Collaborative Stewardship: Fostering collaboration between technology companies, healthcare institutions, and policymakers to establish guidelines for responsible AI development that balances innovation with patient protection.

The promise of AI in healthcare is immense. When patients can securely access everything from pharmacists to health records through familiar platforms, healthcare becomes truly accessible. But this requires unwavering dedication to patient welfare, safety, and equity. At this pivotal moment, we must remember that technology alone cannot solve healthcare’s greatest challenges. It is the thoughtful integration of innovation, ethics, and humanity that will define the future of digital health — and determine whether it truly serves the people it aims to help.

Source: Tencent

01.10.2025