The checklist for choosing an ambient AI assistant with strong AI governance

Last updated: December 15, 2024

A practical approach based on Nabla’s strategy to safeguard accountability and compliance in AI.

The Challenge of AI Governance in Healthcare

As healthcare leaders explore innovative AI tools to alleviate administrative burdens, they face critical questions about privacy, safety, and reliability.

With no universal framework for AI governance and regulations still evolving, many healthcare organizations must define their own strategies to mitigate risks.

70%
70%
of healthcare organizations believe they are prepared to integrate AI
But only 30% have fully developed responsible AI strategies that address essential ethical considerations such as bias and transparency
70% of healthcare organizations believe they are prepared to integrate AI.
Only 30% have fully developed responsible AI strategies that address essential ethical considerations such as bias and transparency.

What This Must-Read Checklist Covers

Key Governance Considerations

Data privacy, bias mitigation, output reliability, and safety protocols.

Cybersecurity and Transparency

Ensuring robust protection and clear communication.

Best Practices from Nabla

Proven strategies to evaluate and responsibly evolve AI technology.

Gain key insights to make confident, informed decisions about ambient AI adoption as a clinical leader.

“At Nabla, our commitment to AI governance—rooted in transparency and trust—drives us to help shape a unified set of industry standards, empowering clinicians to confidently choose AI solutions that prioritize safety for all.”

Alex LeBrun
Co-Founder & CEO
Alex LeBrun
Co-Founder & CEO

“At Nabla, our commitment to AI governance—rooted in transparency and trust—drives us to help shape a unified set of industry standards, empowering clinicians to confidently choose AI solutions that prioritize safety for all.”