NP Pulse: The Voice of the Nurse Practitioner (AANP)
Sep 9, 2026 · 31 min · 12 segments
Are you a nurse practitioner looking to leverage AI in your practice safely and effectively? Then this conversation is for you! Our guests today on NP Pulse*: The Voice of the Nurse Practitioner*® are…
Madison EdwardsGuest
Lisa AndersonGuestSophia ThomasHost
What's so fascinating to me is we've actually been working on machine learning and calling it AI since before we put a man on the moon.

I think there was a lot of fears about regulation and what we were going to do with it once it went live.

And then in the 70s, actually, Stanford created an application called Mycen.

And what it did is its intention was to help select antibiotics for bacterial infections.

Every time versus the infectious disease specialists that either mashed or beat their performance every time.

And so we've really been pushing slowly, but now we're really getting to a whole other realm that I don't think that they believed was possible.
And so, Lisa, you as well have, I'm sure, an opinion on the history of AI in health care as well.

And we've been using it for a pretty long time for clinical decision support making, medication interaction alerts.

I think what different about AI now is we've been using it more for individual usages like AI Scribes and resources like OpenEvidence.com, which is an amazing AI resource for nurse practitioners.

We're now interacting with it more directly in like on a day-to-day basis and implement it into our everyday workflow.

What's so fascinating to me is we've actually been working on machine learning and calling it AI since before we put a man on the moon.

I think there was a lot of fears about regulation and what we were going to do with it once it went live.

And then in the 70s, actually, Stanford created an application called Mycen.

And what it did is its intention was to help select antibiotics for bacterial infections.

Every time versus the infectious disease specialists that either mashed or beat their performance every time.

And so we've really been pushing slowly, but now we're really getting to a whole other realm that I don't think that they believed was possible.
And so, Lisa, you as well have, I'm sure, an opinion on the history of AI in health care as well.

And we've been using it for a pretty long time for clinical decision support making, medication interaction alerts.

I think what different about AI now is we've been using it more for individual usages like AI Scribes and resources like OpenEvidence.com, which is an amazing AI resource for nurse practitioners.

We're now interacting with it more directly in like on a day-to-day basis and implement it into our everyday workflow.
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