Jun 16, 2026 · 31 min · 12 segments
What happens when artificial intelligence becomes a trusted partner in patient care? Healthcare leaders are increasingly exploring how AI can help clinicians make faster, more informed decisions while…
Doug FloraHost
Scott PenberthyGuest
Lindsay CottonHost
So I think, you know, health care has always moved a lot more cautiously than other industries just because the mistakes carry human consequences.
And so we do see the potential here where it's arguably the biggest benefit we could have if we implement these and do them right.
Except there's the biggest hesitation at the same point, which is so frustrating for those of us that see the potential and have either understand what it's like to be on the side of the clinician wanting to be able to move things forward for our patient and we get pushed back from the system.
Or it's those of us who are fighting for our loved one or ourselves and getting movement forward with our own health care and we get pushed back.
And we know the tools that are accessible, but we can't access them for someone.
I think the question I always think of is like, what has to happen before all of the other providers and physicians genuinely trust AI systems at scale? You brought up that I went back to school.
So there's nothing more frustrating than feeling like you can help someone and the system won't allow you to help them.
And so I wanted to understand better because I don't teach you that part in medical school.
Like, how do you actually, we understand how to take care of the patient, but how do you actually make change within the system and implement something that drives something forward? So the term is implementation science because there is a science behind integrating novel and innovative technologies into our systems at scale where you can actually make a change.
And I would say arguably one of the most frustrating things that I've dealt with in years of even being an NGS in early cancer detection is this concept of people saying that, oh, this type of stuff is going to close the disparities gap.
Only the people in the ivory towers that have access to that type of medicine are going to seek the benefit.
And so how do you actually use something that is novel? And Scott, you mentioned earlier, I can't remember if it was in our pre-show or when we started, but about taking this concept of being able to do reads and looking at the genome for $5 versus it being $1,000 worth.
And I've done the same thing on how do you take something really complicated in the oncology space and distill it down into something that can be well absorbed by a patient.
So I think, you know, health care has always moved a lot more cautiously than other industries just because the mistakes carry human consequences.
And so we do see the potential here where it's arguably the biggest benefit we could have if we implement these and do them right.
Except there's the biggest hesitation at the same point, which is so frustrating for those of us that see the potential and have either understand what it's like to be on the side of the clinician wanting to be able to move things forward for our patient and we get pushed back from the system.
Or it's those of us who are fighting for our loved one or ourselves and getting movement forward with our own health care and we get pushed back.
And we know the tools that are accessible, but we can't access them for someone.
I think the question I always think of is like, what has to happen before all of the other providers and physicians genuinely trust AI systems at scale? You brought up that I went back to school.
So there's nothing more frustrating than feeling like you can help someone and the system won't allow you to help them.
And so I wanted to understand better because I don't teach you that part in medical school.
Like, how do you actually, we understand how to take care of the patient, but how do you actually make change within the system and implement something that drives something forward? So the term is implementation science because there is a science behind integrating novel and innovative technologies into our systems at scale where you can actually make a change.
And I would say arguably one of the most frustrating things that I've dealt with in years of even being an NGS in early cancer detection is this concept of people saying that, oh, this type of stuff is going to close the disparities gap.
Only the people in the ivory towers that have access to that type of medicine are going to seek the benefit.
And so how do you actually use something that is novel? And Scott, you mentioned earlier, I can't remember if it was in our pre-show or when we started, but about taking this concept of being able to do reads and looking at the genome for $5 versus it being $1,000 worth.
And I've done the same thing on how do you take something really complicated in the oncology space and distill it down into something that can be well absorbed by a patient.
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