ArisGlobal’s Post

Transcript

Good afternoon. I'm here with Jorge Carmona from Roche. And Jorge, we just came off a very exciting conversation on stage and we're getting great questions, great feedback and curiosity around the challenges with data and multiple silos of data and multiple systems. And I'm curious if you could expand upon how Roche is dealing with this and what you guys are thinking about relative to simplifying or leveraging the data in ecosystem or infrastructure? Yeah, thanks. Thanks for asking that question And yeah, we did. Stopping to this while we were in the panel before, the data influx that we are seeing in this industry is massive and it continues to expand, especially in the pharmacovigilance space and in the safety space where we look at protecting patients and ensuring that we treat adverse events as they come and as fast as possible. We are entering new territory with cardiovascular as a new therapeutic area approach and we are expecting a massive increase as well of notifications for patient safety. So. For us, at the end of the day, embracing automation is going to be key and that is 11 clear component to our data strategy. At the same time, one of the challenges that we have is interoperability of data and systems. And this is because historically we have grown as well through implementing new platforms, acquiring new companies that also came with new systems and ensuring that interconnectivity across all of these different systems and components is quite challenging. Traditionally, we have been working in the technology. Pace with something that we call APIs, which is nothing but an integrated integrating mechanism or a program to integrate systems. And the reality is that with the advancement of AI, I think we have a great opportunity to as well leverage large language models to work behind the scenes. And what I mean by that is imagining a future where a large language model would be working on a specific system database understanding what are the data entities within that database understanding. What are the outputs that we want to generate from that database based on an interaction with a human and then connecting with another large language model that is running on top of another database that is actually working together Or they are working together to really enable that exchange of information, making suggestions on the outputs, on the mappings and even ensuring a higher degree of data quality than we do today through the more standardized, if you wish, API approach. So I think the challenge is there, but the opportunity. It's almost equal, if not greater. Let me ask this because you said something that really resonated. I know patient safety is paramount at Roche and everything you guys do and everything you invest in and everything you think about by leveraging AI and leveraging the use case or potential use cases that you just described. How are you ensuring or how are you thinking about patient safety as part of that expectation by connecting these disparate systems as we think about business cases and as we think about the opportunity? For patient safety approach, we think about the impact that we can generate from our process efficiency and really accelerating the way in which we manage adverse events and cases that come our way. And that does have an operational component to it. But at the same time, for US1 critical aspect and component is generate more trust with patients and society. It's a difficult 1 to quantify and the way in which we think about it as well connects with something that we speak. Thought about at Rush, which is this this concept of the triple win and how do we generate benefits for the company, but also for the society and for our patients. And this is something that is there to the heart of our our CEO to machine maker. So really working on aligning right these goals and this strategy with that ultimate vision. Yeah, you can definitely tell it's very personal for you and I think it's very personal for Roche how you guys are embracing this. So I really want to thank you for spending time with the audience and sharing your insights and your reflections. What Roche is doing is absolutely. Game changing as it comes to automation, generative AI and how you're thinking about leveraging data. You're most welcome. Thank you for having me on the support as well that you guys are providing. Thank you, Jorge. Thank you. Appreciate it.