In healthcare, trustworthy AI starts with people

So, Anjali, there's enormous excitement around AI and healthcare.

You can kind of feel it in the room here at Health Europe.

There's urgency, but there's also skepticism and some fatigue.

And I think people see the potential.

They also see and are a little bit worried about the complexity.

We do a regular survey of trust in AI across sectors, and one of the things that we're finding is a lot of unevenness, especially in life sciences and healthcare today.

Workers that have a high trust in their employer are using AI regularly, and they're using it with some meaningful impact.

But sometimes that's uneven.

Sometimes it goes up.

Sometimes it goes down.

And usage, it's not quite reaching the scale that we all hope and expect.

And for patients and for members of health plans, it's an even different story.

Only about 40% say they're using and then really engaging with the AI tools made available to them.

So I'm curious, from your vantage point, does that track with what you're seeing?

Yeah, David, that's a great place to start.

As you were sharing the figures, it's clear that AI is here, it's not abstract, and it's certainly being used within pockets that include documentation, other areas where administrative burden is heavily impacting both the clinician as well as allied health staff.

In the background, imaging, office procedures, a lot of different things.

So yes, AI is here, but what makes it more complex and what impacts somewhat uneven uptake and the numbers that you were quoting is that Healthcare is deeply human.

There's a lot of variation in how healthcare is delivered.

It's complex, it's regulated, and there's a lot of potential of it going wrong.

Technical performance alone does not guarantee trust in a situation like this, where humans are standing to get impacted by this.

So trust keeps surfacing up because AI is entering positions where clinical decision could be impacted by the AI.

It's really entering points where patient experience is impacted by AI.

It's also entering moments where outcomes are impacted by AI.

And I think fundamentally there are deeper questions.