Micromedex Spotlight on Scaling AI with Confidence

Each quarter, Micromedex publishes insights on healthcare trends from our subject matter experts.

• Expert opinion: Is AI making us better clinicians?
• Leadership insights: Is your AI governance enabling innovation?
• Practical tips: A framework for evaluating AI tools for clinical use
• Public health: What does it take to spot health threats?

Use the table of contents to jump to the area that interests you most.

AI is already a part of everyday clinical practice, and opportunities for innovation and efficiency continue to surface. But as AI adoption accelerates, important questions are emerging.

In a recent webinar, Angela joined Dr. Scott Nelson of Vanderbilt University Medical Center for an honest conversation about the realities of AI in healthcare. Rather than focusing on the hype, the session explores practical implications of AI adoption, drawing on real implementation experiences, governance considerations, and emerging risks that healthcare organizations should be thinking about today.

Key highlights:

• What health systems are learning from AI pilots and early deployments
• When the biggest risk is no longer hallucination, but omission
• Going beyond “Human in the loop” to prevent automation bias
• Emerging questions around clinician de-skilling
• How healthcare organizations can balance innovation, safety, governance, and workforce development as AI adoption accelerates

Access the webinar to hear the discussion >

For many healthcare organizations, the question is no longer whether AI has a role to play. It's how to scale its use safely, responsibly, and effectively. In his new blog, Jack explore five questions healthcare leaders should ask as AI becomes more deeply embedded in clinical workflows, to help ensure governance enables safe innovation rather than constraining it:

1. Evidence governance: What evidence should clinicians trust?
2. Provenance: Can clinicians see what supports the answer?
3. Uncertainty: Can the system recognize when medicine does not have one answer?
4. Human oversight: Where does clinical judgment add value?
5. Continuous governance: What happens after implementation?

Read the full blog >

There’s no shortage of convenient AI tools, and they’re maturing rapidly for healthcare use. But in high-stakes clinical environments, convenience alone isn’t enough. Experts at Micromedex put together a paper that provides a straightforward five-step framework to help you evaluate AI tools for safety, effectiveness, and clinical confidence.

Read the paper >

From food contamination to disease outbreaks, behind every public health response is an invisible network of human experts, surveillance systems and trusted intelligence working quietly to keep communities safe. But what does it take to spot a threat before the rest of us even know it exists? And what happens next when every decision counts?

Read the full blog >

Check out how AI-powered search in clinical decision support can advance smarter, faster insights, giving time back to clinicians to focus on the human work they care about.

Explore AI in clinical decision support >