Dr. Jennifer Lundblad

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304 appearances 1 recordings 1 series first heard Mar 2025 last heard Mar 2025

Dr. Jennifer Lundblad’s voice in public audio — every appearance, attributed to the second.

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Health Chatter · Quality Assurance & Quality Improvement in Healthcare · 28 Mar 2025 podcast

We had for our January board meeting, so just two months ago, an AI session with our board and for our all staff, our all staff are coming together next month for a couple of days of in-person learning and sharing and collaborating.

And we're focusing on AI and our role in AI as a quality improvement organization.

What does that mean for us internally?

Can that help us be more efficient and effective in our own operations?

And how are we a partner and a coach in our improvement work when we're working with those externally?

So that's a big question in front of all of us right now.

But as we look at what's happening in healthcare, there are great opportunities

that are adjacent to the work we do where AI can be really helpful.

We know that those radiology reads, x-rays, that can happen so much faster, and that is only to the benefit of the patient, right?

There's nothing like waiting for that diagnosis or waiting for those test results.

If we can accelerate that, we can move people in a patient experience that's much more

satisfying to them as they do that work.

As we think about the amount of time that clinicians spend today in documenting in the electronic health record, AI will absolutely make that more efficient, make those visit summaries, make that electronic documentation process so that clinicians aren't doing that at home on the weekends and the evenings after hours.

How can we improve that?

When we have those better data, that can then allow us, Stratus Health and organizations like ours, to take actions that, again, are more timely, that are more data-driven, will have more comprehensive work as a result of AI.

So it's not without its cautions.

There are plenty of cautions in the AI world.

But we also want to embrace where there can be improved efficiency and effectiveness by drawing on data.

artificial intelligence in whatever ways that that might look like.

So that that's what we're thinking about and focusing on right now.

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