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Using data to customize prescriber interactions for better resonance and commercial success
Apr 27, 2022

So, if you look into the last year, the overall average engagement is roughly 19 minutes for any prescriber. In 19 minutes, you have to provide the right messaging with the right context. Hence identifying those messaging that can resonate with your prescriber and providing the right guidance for the right treatment, is going to be critical. You need to be very precise, how you're interacting with the customer and whom you are interacting with what message you're going to give, which channel you're going to utilize.

We have lots of software, whether it's been operational data assets, operational software, or it's execution software, or it's commercialization software. As more and more data are getting available through new technologies. Whether it's traditional data, whether there’s been digital data. Where there's been streaming data and identifying those signals and mapping that signals to some insights can then be taken into action.

As healthcare life and sciences are understood, this is the time to innovate, and it's the time to change. And, and we just seen this in the COVID era, right? Where things used to take 10 years now, it's getting done in 10 months.

I think when developers build the software's, if they think about the end impact of that software, that's where the connected intelligence will start coming into life. I think the first question we should always be asking is what is the use of this analytics, how it's going to make a change, how we do things today versus having these analytics, how we, how we'll do these things for tomorrow, right? Once you understand that impact, once you understand how it's going to get utilized, your focus will be much more building software that are more targeted.

The beauty of this is when you combine this data and identify the patterns and the signals within this data, and then understand what it means for our customers, for what it means for our patient in the right time, at the right context. And then surface it up within the workflows, is what going to be the connected intelligence vision that we are putting forward. So, what we are doing with this data asset, we identify the right insights and then surfacing it out within our right applications. When a rep goes and visit a customer, whether it's been digital channel, whether it's been a face to face, they have the right context.

When we think about next best, next best is everywhere, next best customer, next best treatment, next best clinical trial. 's a broad spectrum of innovations and engagements that we are bringing to, to our customers. When you connect all these building blocks, that's where analytics becomes an action.

I think IQVIA is at the center of the healthcare and life sciences innovation. If we combine our capability of data analytics services and software, all the way in the spectrum of R and D clinical and commercial.

If you look back with, life sciences, healthcare, where we are today after post pandemic, I'm not even sure we are post pandemic yet. We are still going through their journey, the innovation, the amount of things that is happening with the healthcare life sciences, where we touch patient on a day-to-day basis, right. And everything that we do with our healthcare life sciences, software technology data, it has a direct impact on the day-to-day patients. That's what excites us.

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