
AI scribes: The impact on the consultation, the notes and relationships in practice
Today, we’re speaking to Dr Emma Ladds, a GP partner and DPhil candidate at the Nuffield Department of Primary Care Health Sciences at the University of Oxford. We’re here today to discuss the recent article she and her colleagues have written for the journal, titled, ‘Ambient scribes in general practice — help or hindrance?’
Title of paper: Ambient scribes in general practice — help or hindrance?
Available at: https://doi.org/10.3399/BJGP.2026.0097
Transcript
This transcript was generated using AI and has not been reviewed for accuracy. Please be aware it may contain errors or omissions.
Speaker A
00:00:00.320 - 00:01:15.600
Hi and welcome back to BJGP interviews after our summer off. I'm Nada Khan and I'm one of the Associate editors of the Journal. Thanks for listening to this podcast today.
In today's episode, we're talking to Dr. Emma lads. Emma is a GP partner and a DPHIL candidate at the Nuffield Department of Primary Care Health Sciences at the University of Oxford.
We're here today to talk about the recent article that she and her colleagues have written for the analysis section of the Journal. And the article is titled Ambient Scribes in General Practice. Help or Hindrance? So, hi again, Emma. It's lovely to speak to you about this work.
And I think one of the reasons we were interested in picking up this article is that it's really highly topical and it's in an area that I think a lot of people are wondering what to do in their day to day practice.
And I think that some of the issues that you've highlighted in the article do speak to some of the concerns that people are raising, but also some of the challenges with the implementation in practice. But I guess before we get onto some of the issues that you raise in the paper, can you just explain what we mean by an AI or ambient scribe?
Speaker B
00:01:16.160 - 00:01:45.660
Well, it's the technologies based on artificial intelligence that detects conversations, so between the patient and gp, or between GP and other colleagues. And in consultations, it then generates a summary of what's been discussed, but also does some other things as well.
So, for example, it might add some coding labels for specific things that are mentioned, and then all of that goes into the patient's electronic health record.
Speaker A
00:01:45.980 - 00:02:15.130
And I think that these tools are often presented, at least to some of the GP colleagues that I know and work with, as almost like an obvious win for general practice. So less documentation, more efficiency, and maybe more time with patients.
But what made you want to just take a pause and think about some of the assumptions behind some of those quick wins that people might be thinking about, thinking about.
Speaker B
00:02:15.450 - 00:03:31.980
And I mean, I think it's interesting, isn't it, because ever since we started to introduce different technologies into the consultations, there's often been an assumption that every new thing would be a quick win.
And even since the introduction of the computer, you make for greater efficiency and it will be easier to store data, to retrieve data, to share data, et cetera. And of course, a lot of the time what those technologies do is they drive particular activities.
I think it's been interesting just to think about how introduction of different technologies and platforms and digital approaches has driven a much more transactional, quantifiable way of working.
And those things that can be recorded and can be captured in technologies or enabled by technologies have been promoted, perhaps at the expense of some of the less quantifiable, more nuanced activity. So suppose it was looking at that journey of technologies and just trying to think about what this next step might also add to that picture.
Speaker A
00:03:32.220 - 00:03:41.820
And one of the things you talk about in the article is that AI scribes could create what you call false efficiencies. But can you unpick what you mean by that?
Speaker B
00:03:42.300 - 00:04:53.150
I think there's this assumption that actually the summaries and the codes that AI scribes will generate will be very time saving for gps. And no GP ever has enough time. So everybody's looking for, as you put it, the quick wins.
And some of the challenges with the outputs from AI inscribes are that they often produce very long transcripts because they're trying to capture a summary of everything that was discussed and that gets entered into the record. And obviously it takes time for subsequent clinicians to look through those kind of summaries. So that could be a fold sufficiency.
But also, I mean, it can add false labels or generate errors and that requires checking as well. So it's not that it just produces an accurate summary and then that's out there.
Actually, the clinician still has to go back and double check that everything's been done correctly. So even though they don't have to do the actual typing, there's still a level of processing that they have to do of that summary.
So it's not necessarily a time saving tool, really.
Speaker A
00:04:53.630 - 00:05:15.390
And I think that's one of the interesting things about it because, yeah, there's that interesting point that, you know, GPS might be getting that time back in some other way, but I guess that's highlighting that that might not actually be quite that simple, that the time that you might get back from not having to type out the notes from a consultation is actually being used elsewhere.
Speaker B
00:05:15.390 - 00:06:20.920
Actually, I think that's very true. And I think the other thing that's worth thinking about is what's in the notes, the actual information that's there.
Yes, it's a summary of the consultation, but actually generating that summary when the clinician does it, there's a level of processing, there's a level of sort of cognitive thinking, of reflection, of thinking about what it was that was happening during the encounter between patient and gp, what was actually being said, or a lot of the time, what was not being said, and the AI scribe won't detect that. And a lot of clinical reasoning sometimes happens for gps, sometimes happens behind the scenes when they're doing that retrospective processing.
And as one of my colleagues said, you know, she often thinks about other investigations she'd like to add or things that she might not have made overt to the patient, which perhaps need to be made over to the. So it's those sorts of subtleties that aren't captured in just a very superficial representation of a consultation.
That's the content of a consultation.
Speaker A
00:06:21.720 - 00:06:53.030
And I think that struck me that taking notes isn't simply an administrative task, it's actually part of clinical thinking.
And I certainly, I've tried AI scribes, but how I do my consultations is I write on a piece of paper because I think that's how I process it, and then I move from the paper to the notes and that's part of how I work through the problem. And I guess that's what you're getting at here just in terms of sort of the clinical thinking about actually putting the notes onto the record.
Is that what you're saying?
Speaker B
00:06:53.350 - 00:08:00.370
Yeah, I think that's right. And I think it's a reflection about how we all develop as individual practitioners as well.
I mean, the way you do your consultations may be slightly different to the way that I do my consultations, and the way that you write your notes may be slightly different to the way that I write my notes.
But I think often when you've worked together with people for quite a long time, you learn hidden meanings and you pick up that they may phrase things in very particular ways and that conveys a deeper level of meaning to you because of that kind of relational knowledge that you have of your colleagues. So for example, if I write one consultation in my note, my partners know that it was an extremely long consultation that was probably quite circular.
We probably didn't come to a very conclusive outcome and probably the patient is going to want to come back and see me again rather than one of them.
You know, there are these subtleties in communication that actually at the moment the AI scribes aren't good enough or nuanced enough to be able to detect. And I don't know if they'll ever get to that kind of level of something.
Speaker A
00:08:01.130 - 00:08:28.010
But I suppose an AI scribe is never going to really capture clinicians voice, is it? And I think that's what I see when I see some colleagues who are using AI scribes that the.
There seems to be quite a lot of detail there which is great, but it doesn't have that clinician's voice in it. So it's hard to really unpick some of the hidden meaning behind sort of what's going on there.
And I think that's why I don't use it, because I don't feel it reflects my thought process when I'm going back to look at notes.
Speaker B
00:08:28.150 - 00:09:41.210
Yeah, yeah, no, I think that's exactly right. And I think it's extremely good at trans. At sort of capturing transactional interactions and transactional material.
And I think that during my detail, I was observing a GP using one of the
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