1 00:00:00,080 --> 00:00:02,920 Speaker 1: AI is arriving at your ED department. We've got a 2 00:00:02,960 --> 00:00:06,200 Speaker 1: new AI scribe from Heidi Health that's been rolled out 3 00:00:06,200 --> 00:00:09,200 Speaker 1: in nationwide, so pilots and Hawks Bay saw clinicians see 4 00:00:09,200 --> 00:00:11,960 Speaker 1: one extra patient per shift, they save seventeen minutes on average, 5 00:00:11,960 --> 00:00:14,320 Speaker 1: and they cut down ADMIN work by eighty one percent. 6 00:00:14,360 --> 00:00:17,240 Speaker 1: Now being condent, Doctor bin Content is a clinical director 7 00:00:17,239 --> 00:00:18,160 Speaker 1: at Heidi Health and as. 8 00:00:18,040 --> 00:00:21,080 Speaker 2: Well us been morning, morning, mine, thanks for having me on. 9 00:00:21,120 --> 00:00:22,720 Speaker 1: Not at all is Heidi Health's just one of a 10 00:00:22,800 --> 00:00:25,040 Speaker 1: number of AI tools out there if you're looking for 11 00:00:25,120 --> 00:00:25,840 Speaker 1: AI tools. 12 00:00:27,320 --> 00:00:29,360 Speaker 2: There are certainly a number of scribes out in the market, 13 00:00:29,920 --> 00:00:32,640 Speaker 2: but yeah, where one of them and growing quickly, which 14 00:00:32,680 --> 00:00:33,400 Speaker 2: is really exciting. 15 00:00:33,520 --> 00:00:36,040 Speaker 1: So the magic is the magic At eighty one percent 16 00:00:36,080 --> 00:00:38,040 Speaker 1: cut and admin, is that as good as it gets? 17 00:00:38,120 --> 00:00:40,519 Speaker 1: Or might you cut edmin out completely and you just 18 00:00:40,600 --> 00:00:42,080 Speaker 1: talk and AI does it all for you. 19 00:00:44,360 --> 00:00:47,080 Speaker 2: At the moment, that's pretty good. We're hoping to improve 20 00:00:47,080 --> 00:00:49,840 Speaker 2: it slightly with a broader rollout, but certainly in time 21 00:00:49,880 --> 00:00:52,760 Speaker 2: we're hopeful that we can remove admin completely from doctor's 22 00:00:52,840 --> 00:00:55,720 Speaker 2: day and just allow them to focus on treating their patents. 23 00:00:56,200 --> 00:00:58,360 Speaker 1: And just to be clear, seeing a lot of people 24 00:00:58,400 --> 00:00:59,960 Speaker 1: don't quite get the head around AI at the moment. 25 00:01:00,000 --> 00:01:01,240 Speaker 1: That's what I get at the doctor when I go 26 00:01:01,320 --> 00:01:04,120 Speaker 1: to the GP, they're just talking. It's all being transcribed, 27 00:01:04,160 --> 00:01:06,280 Speaker 1: and then two minutes later you get a complete print 28 00:01:06,319 --> 00:01:07,959 Speaker 1: out of what you've just discussed. 29 00:01:07,520 --> 00:01:12,199 Speaker 2: As that is that's correct. So creating a written transcript 30 00:01:12,200 --> 00:01:14,640 Speaker 2: and then using some templates that your doctor can set up, 31 00:01:14,680 --> 00:01:16,959 Speaker 2: it can create not just a medical note, but also 32 00:01:17,000 --> 00:01:19,280 Speaker 2: you discharge summary, you refer a letter and any other 33 00:01:19,319 --> 00:01:21,839 Speaker 2: note that you need at the click of a button. 34 00:01:22,319 --> 00:01:26,840 Speaker 1: What are the legals around it in terms of if 35 00:01:26,840 --> 00:01:29,680 Speaker 1: something goes wrong I said this, No you didn't, Yes, 36 00:01:29,760 --> 00:01:31,399 Speaker 1: I did, and there it is. You know, are you 37 00:01:31,440 --> 00:01:34,080 Speaker 1: one hundred percent certain that what has taken down and 38 00:01:34,120 --> 00:01:35,880 Speaker 1: transcribed through AI is accurate. 39 00:01:37,400 --> 00:01:40,080 Speaker 2: It's really important for everyone to know that the doctor 40 00:01:40,120 --> 00:01:42,759 Speaker 2: is still responsible for the note, So the time saving 41 00:01:42,800 --> 00:01:45,120 Speaker 2: comes from them having a note ready to review in 42 00:01:45,200 --> 00:01:48,600 Speaker 2: real time. What happens at the moment is doctors often 43 00:01:48,640 --> 00:01:50,960 Speaker 2: save all they're note taking until the end of a 44 00:01:51,000 --> 00:01:53,440 Speaker 2: clinical end of a shift, so they're making a note 45 00:01:53,640 --> 00:01:55,880 Speaker 2: hours later, which can also be fought with errors. So 46 00:01:56,280 --> 00:01:59,320 Speaker 2: really we're hoping that they're able to save as much time, 47 00:01:59,360 --> 00:02:01,960 Speaker 2: But still can have confidence in the accuracy of the 48 00:02:02,000 --> 00:02:03,960 Speaker 2: document because they're reviewing it in real time. 49 00:02:04,200 --> 00:02:07,520 Speaker 1: Are you health specific? In other words, why wouldn't the 50 00:02:07,520 --> 00:02:09,640 Speaker 1: cops roll us out when they're interviewing somebody. 51 00:02:11,120 --> 00:02:15,919 Speaker 2: So Heidi is trained on clinical language, so any kind 52 00:02:15,919 --> 00:02:19,200 Speaker 2: of person with a clinical background, not just doctors, but nurses, physios. 53 00:02:19,200 --> 00:02:22,320 Speaker 2: We've had vets use us as well. They can use Heidi, 54 00:02:22,400 --> 00:02:25,600 Speaker 2: but certainly we have non clinical people using it for 55 00:02:25,720 --> 00:02:27,520 Speaker 2: things like taking meeting minutes as well. 56 00:02:27,919 --> 00:02:32,959 Speaker 1: What's your take on this as a thing in changing 57 00:02:33,000 --> 00:02:35,520 Speaker 1: the world and changing our lives. Are you sort of 58 00:02:35,639 --> 00:02:38,639 Speaker 1: fully bullish on AI and this is transformational or we're 59 00:02:38,639 --> 00:02:40,239 Speaker 1: still discovering what it will be. 60 00:02:41,639 --> 00:02:44,680 Speaker 2: I'm really bullish, particularly in this use case. I think 61 00:02:44,800 --> 00:02:48,560 Speaker 2: we've seen across the world doctors, nurses being burnt out, 62 00:02:49,280 --> 00:02:52,239 Speaker 2: working harder than ever before. But as our populations get 63 00:02:52,280 --> 00:02:56,080 Speaker 2: older and more sick, So any relief we can give 64 00:02:56,800 --> 00:02:59,480 Speaker 2: our clinical staff and make their work a little bit easier, 65 00:02:59,840 --> 00:03:01,639 Speaker 2: but also give them more time to do what they 66 00:03:01,680 --> 00:03:04,200 Speaker 2: want to do, which is see and treat patients, I 67 00:03:04,240 --> 00:03:06,040 Speaker 2: think is going to be a real game changer for 68 00:03:06,080 --> 00:03:06,720 Speaker 2: the health system. 69 00:03:06,760 --> 00:03:09,440 Speaker 1: Good stuff. We appreciate it. Very much, doctor Bincondon, who's 70 00:03:09,440 --> 00:03:10,919 Speaker 1: a clinical director at Hardy Health. 71 00:03:11,400 --> 00:03:14,280 Speaker 2: For more from the mic Asking Breakfast, listen live to 72 00:03:14,400 --> 00:03:17,440 Speaker 2: news talks. 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