Medidata Research Alliance

Video transcript: What does solve the impossible mean to me? Solve the impossible? It's delivering better treatments against overwhelming odds. It's the difference between running out of time and getting there sooner. It's being able to see the problems and deal with them before they happen. It's about taking control of data. That's pouring in from every direction. It's when you work with people who can say, here's how. Here's how. There are a lot of uncertainties when you're planning and running a clinical trial. And what we do in intelligent trials is help our customers de risk their trials by providing insights that help them make better decisions. Roughly half of the world's clinical trials are run on our platform and we use that data to be able to provide answers that our customers otherwise would not have been able to get. Anything that can improve the planning and the monitoring to improve the probability of success is a huge deal, both for our customers and also for the patients. It's huge when patients are waiting for a new drug and we are able to help bring a successful drug program to conclusion faster. After business school, I wanted to be able to influence the core decisions that organizations were making, and that's where I got into data science and discovered the power of analytics to improve decision making. Our team is composed of people who are really passionate about what they do. They're problem solvers. The opportunity that we have here at Metadata is helping our customers solve some of their toughest problems. I lead the team for Metadata Link. We connect clinical trial data with real world data. By joining these two data sets or two worlds together, we have so much more perspective on the patient as they live their everyday life, as they go to a doctor's office or hospital. Traditionally, do this, you would have to do data linkage at the sites. It's quite burdensome and it's not scalable. Metadata's Unified Clinical Cloud makes it so seamless. Seamless means that it's less burdensome for sponsors and patients. Instead of running a very lengthy trial, you could run part of it as a clinical trial and do the remaining evidence generation through the real world data that you collect. Medidata runs a large portion of the world's clinical trials and bringing metadata linked to this is really game changing. The inspiration around creating the Metadata AI Labs team was to ensure that we had a group focused on helping our clients really understand and unlock the value of our data. My team is the most direct link to a client while they're using our products. And collaboration is so important, not so much just the working together, but recognizing that it takes a village. We obviously have the data, have the product ingenuity, but our clients are our users and they're the ones that are implementing and delivering on initiatives. I got my master's in biology and I ended up with a job at a CRO and really just fell in love with the clinical trial industry. The rewarding aspect of what my team does is really seeing our clients improve and explore new ideas with our recently released diversity module being a really good example. The impact of improving diversity in clinical trials is to ensure that the patients that will ultimately be taking the drug are clearly represented in the clinical trial. I work at Metadata AI in the Commercial Data Solutions team. A billion dollars invested in research and a decade potentially later, our customers need to figure out a way to get this product to the patients in the market in the real world and that's where we come in. Customers only get one shot at launching, and the first six months of their launch usually predict the trajectory of a product in the market. We work to seize that decisive moment. We've put a lot of time and effort and thought into building a platform for the life sciences that stitches together very complex, messy data so our customers have that singular source of truth to drive their business decisions. And the type of data we get, it's very rich patient level data. Are they happy with how their treatment's progressing? Are the physicians prescribing like they should? We tease information from all of that to say, what can we do to change that behavior to better improve the patient outcome? We are market leaders, but no one ever stops asking what's next? What else can we do? Our team is accustomed to rolling up their sleeves, solving problems, supporting our customers. It's a new adventure every day. There's so much that's still undiscovered and not solved when it comes to human health. The future will bring more tough problems that we will solve. What does solve the impossible mean to me? It's changing the way we run clinical trials and generate evidence. We try to move human health forward by focusing on the patient and the data that we use to drive our customers business decisions all circles back to the patient. I'm proud of my work here because it means something. The technology, the innovation, and the humanity. I think the possibilities are limitless.