Page 56 - AI Standards for Global Impact: From Governance to Action

AI Standards for Global Impact: From Governance to Action

2) Expand the global AI Champions network to foster cross-border collaboration and
coordinate research, policy, and implementation efforts in AI for health.
3) Support platforms enabling benchmarking and localized AI validation not requiring AI
expertise, helping ensure technologies are contextually relevant, trustworthy, and aligned
with regional priorities.
4) Create model laws and standardized frameworks to guide national AI health strategies,
promoting transparency, ethics, and regulatory coherence across jurisdictions.
5) Advocate for open science and foster inclusive, transparent, and accountable AI policy
and research that benefits society as a whole.

Box 1: AI impact on healthcare

The advancements in AI technology present unprecedented opportunities to
revolutionize healthcare, making it more effective, accessible, and economically
sustainable. By fostering the integration of AI through appropriate policies, countries
can improve healthcare and ensure that new technologies, treatments, and medicines
benefit society at large. For example:

• AI can facilitate the efficient allocation of healthcare resources. Predictive
modelling can forecast patient admissions and optimize the use of hospital beds,
staff, and equipment. This helps ensure that resources are available where and
when needed most, reducing waste and enhancing the quality of care.
• AI also has the potential to tackle some of the most pressing challenges in
healthcare, such as rising costs, inefficiencies, and the demand for higher-quality
care.
• AI can reduce costs and streamline administrative tasks like patient scheduling,
billing, and electronic health records management by automating and optimizing
operations. This can free healthcare professionals to focus more on patient care.
• In diagnostics, AI enhances accuracy and enables earlier detection, often leading
to less invasive and more cost-effective treatment options.
• AI-driven personalized treatment plans can complement traditional approaches
by offering more targeted and effective care, improving patient outcomes while
also helping to reduce the financial burden on healthcare systems.

8�3 Use cases of AI in health

Some real-world applications of AI to address global health challenges were showcased at the
workshop, highlighting the transformative impact of AI in the health space and some of the
explored the necessary factors for key stakeholders to bring AI to the people at the frontline.

The following applications of AI in health were presented:

• WHO and Training Aid presented how AI facilitates the development and customization
of standards-guided training packages for emergency agencies. These packages scale
up the learning and competencies of emergency workers in different roles at the country
level.
• Peking University, China presented China's "5-minute social rescue circle" initiative
for cardiac arrest emergencies to improve survival rates, demonstrating how AI, data
integration, and community-based approaches could increase bystander CPR and survival
rates.

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