Latest / CareTalk: Healthcare. Unfiltered. / Can AI Reduce Medical Errors?
Transcript
- 0:07John: Well, let's, well, I think everybody wants to see you, Bob, but that's Oh, okay.
- 0:11John: But that's the, the, the, the, the, uh, that's the nature of ev of, of, of patients.
- 0:15John: I think they want that human connection, but you really lay out some really terrifying, but.
- 0:21John: Honest statistics, 800,000 to million people harmed or killed by medical errors every year.
- 0:28John: Um, the, uh, the, the, that, that terrifying study, another one met, uh, a, a a, a very large scale study of autopsies that, you know, 20 per based on a scientific review of autopsies, 20% of diagnoses, some of which could have been life altering.
- 0:46John: Are missed, um, in, uh, in our current system.
- 0:50John: So there's clearly a big opportunity, um, to improve, um, clinical outcomes.
- 0:57John: And you, you kind of anchor, uh, the, the, the practice of medicine.
- 1:02John: Um.
- 1:03John: Back to the, the turn of the, of the 20th century when, when it, and, and sort of said that education hasn't moved forward and you kind of gently suggest that we aren't making as much progress on mand errors and improving clinical practice as we could.
- 1:19John: Okay, so if we wanna save more lives and improve patients' lives, what do we need to do in terms of leveraging technology to improve outcomes for patients?
- 1:30Robert Wachter: Well, I, I could tell you that when I'm on the wards now, I am quite frequently using AI to help me be smarter.
- 1:41Robert Wachter: And I don't know that I was missing that many diagnoses before I did this, but I think I'm smarter now than I, than I was.
- 1:49Robert Wachter: And that's not, that's not because my brain's getting better, any better at my age.
- 1:53Robert Wachter: Um.
- 1:54Robert Wachter: You know, we have this practice we call a curbside consult, meaning I don't really need a full on cardiology or infectious disease consultant where they're gonna spend an hour with the patient.
- 2:03Robert Wachter: But I just have a question that I'd love to have answered, and until a year or two ago, there was no good way for me to answer, get an answer to that question without calling my favorite infectious disease doctor.
- 2:16Robert Wachter: You might say, well, how about, um, you know, medical textbooks like up to date?
- 2:20Robert Wachter: Those are great when you have a very straightforward, what's the right dose of apixaban for a patient with pulmonary embolism?
- 2:27Robert Wachter: It has no idea what I'm talking about.
- 2:29Robert Wachter: If I say, this is an 82-year-old man with CLL who comes in with a fever, a white count of creatinine of 3.2 and abnormal LFTs, I can say exactly that sentence into open evidence or GPT or Gemini, and it will give me a cogent answer that is on par with what I would get from my favorite neighborhood specialist.
- 2:47Robert Wachter: So I think where you're going to see real.
- 2:51Robert Wachter: Uh, improvements in medical practice and diagnosis and in, in treatment choices is the fact that the AI now can, can essentially scale the knowledge of specialists.
- 3:02Robert Wachter: So it makes me as a generalist.
- 3:04Robert Wachter: Have access to specialty knowledge in my pocket that it makes a nurse practitioner potentially as good as a generalist in some ways, and I don't think we're quite there yet.
- 3:14Robert Wachter: It may make patients and their families able to do things that they previously required a, a physician to do.
- 3:19Robert Wachter: So now this gets much better.
- 3:22Robert Wachter: Right now I have to pull my phone outta the pocket and say to open evidence, this is an 82-year-old man, et cetera, et cetera, in the future.
- 3:30Robert Wachter: Of course, that's silly that that function should be completely embedded in the electronic health record.
- 3:34Robert Wachter: So that I have to tell, I don't have to tell it anything.
- 3:36Robert Wachter: It is, it knows everything about the patient and you then can envision a world where it not only knows that for, but for an outpatient, it's following the data that's coming from their Apple watch or from their oral ring.
- 3:46Robert Wachter: It's integrating that.
- 3:48Robert Wachter: It means that I can track how a patient's blood pressure or asthma doing without them having to come from an office visit.
- 3:54Robert Wachter: All of that points to a world that's much more efficient and, and much more, much less error pro than the one we had today.