The Checklist for Choosing an Ambient AI Assistant with Strong AI Governance

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

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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.

Only 30% have fully developed responsible AI strategies that address essential ethical considerations such as bias and transparency.

source: 2024 McKinsey Survey

What This Must-Read Checklist Covers

Key governance consideration

Key Governance Considerations

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

cybersecurity and transparency

Cybersecurity and Transparency

Ensuring robust protection and clear communication.

Best practice from Nabla

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.

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Alex LeBrun

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.”