Source-backed interpretation.
Editorial interpretation is derived from the original DMAasia/WION video description and transcript. Statements by speakers remain attributed to the source; no unverified current-role or performance claim has been added.
The durable question is how AI and automation should improve AI without losing sight of data and measurement.
Source signal, edited only for readability.
Three takeaways worth carrying forward.
- 01
Read AI and automation as the primary operating question in this record.
- 02
Test its connection to data and measurement and attention against the speaker’s reasoning in the transcript.
- 03
Keep the 2023 source context visible before carrying the lesson into a current decision.
What the transcript puts on the table.
Heart attacks come because there was a history from 3 years to 6 years or 10 years back.
It's rather the conversation then becomes from a brand point of view or say, I will say it from a doctor point of view, the conversation now becomes that this is going to go ugly for you.
Because when I was just having a brief before the panel, I said, when you look at healthcare and you look at AI or you look at conversations, I always think diagnostic in the sense if I've done a test I wanted in my channel, I want to ask a question.
Original context. Current reading.
Recorded in 2023, this captures the language, platforms and constraints of its time. Read it now by separating those period-specific details from the enduring operating question: how should AI and attention improve the decision?
Durable tests for the work.
- Use AI to improve a decision or outcome—not to decorate the plan.
- Earn attention with relevance before scaling reach.
What would you keep, change or measure differently if this event intelligence were put to work now?
IP09 · READABLE TRANSCRIPT844 words
Hi, I'm Asis, I'm part of Narayana Health. I think I'm just jumping in with using generative AI into our healthcare. When a doctor sees the ICU patient, there is not even a 1% variation. All of these things are done at the power of their own app. There's no sudden heart attacks. Heart attacks come because there was a history from 3 years to 6 years or 10 years back. I'm not sure how to do this. A patient needs emergency care. So like how our founder keeps saying that there is no emergency heart attack. Heart attacks come because there was a history that from 3 years to 6 years or to 10 years back. But in this case also, it's a very positive output for us that there has been touchwood,
not even a 1% variation and when they're telling us this is red, go and check this. And all of these things are done at the power of their own app. Sitting at home, 6 o'clock, they're done with their ICO rounds and they know which patient to go and now check. So Amalabh, it's that the power that helps us in terms of understanding. Why? Because we've trained it over the years in terms of looking at that kind of output for similar patients. And over the years it has learned and done well for us. So I'll rest my case. So what we've seen and what we keep hearing is start basics, but it answers FAQs. And Ashish, you and I were having a very early chit chat and I must share this.
And then I pause that discussion because I thought it was more relevant for the larger context. Because when I was just having a brief before the panel, I said, when you look at healthcare and you look at AI or you look at conversations, I always think diagnostic in the sense if I've done a test I wanted in my channel, I want to ask a question. But he challenged me and said, no, it also has to do with treatment. And I said, hold, let's leave this for how do you do product recommendation on treatment? Or how do you do AI? So I'm going to give this back to you because that I didn't want to hear the answer and hold the excitement. So I think I just started on touching that conversation when we were having our first round.
So how it works is that it gets into data from 2017 onwards. It looks at how the treatment plans for certain surgeries have worked out, keeping in mind your ICU outputs of your heart, your pulse, etc, etc. And then are you going to be stable? Are you falling in that range or not? Does that mean that I need you to stay in the hospital for longer or you can leave early? So basically you're trying to bring down the entire stay at hospital days that actually helps you to go out as soon as possible. And then we, of course, we are working in terms of how you were talking about diagnostics as well. So we are working on a case where it actually helps you tell that, okay, in May in Bombay, 36 years old person had this kind of human global level.
Now that the rainy season is going to come out, it is important so that you don't get involved. Almost been. Start eating. We don't want you to come and tell us, okay, now that I have to take it, please help me. It's rather the conversation then becomes from a brand point of view or say, I will say it from a doctor point of view, the conversation now becomes that this is going to go ugly for you. Start doing this. I have a question. Follow up. Sorry to that. We typically reach out for medical guidance or assistance or treatment when we need it or we think we need it. But predictive needs to come to us. Right? Because if I'm on Bombay 36 hemoglobin A, I'm not assuming that I'm going to fall ill or I need to. Yes, doctors tell us eat well and eat this.
How does that communicate? I actually wanted to add. So over the years when we were learning about conversation, we're a top like I think Vikram was also mentioning that, if you talk about the product, you can sell the product. And that point in time, we used to think, how is it possible to get this, get into this conversation? Please don't talk 30,000 feet. But now actually you can start that conversation. The minute I send you an email saying that this is the time of the year where something can happen and it should come from say from your doctor's desk. You will start listening to it. I'm going to ask you to ask you to ask me to ask you to ask me to ask you to ask me to