Data Challenges and the Promising Role of Product Analytics in Healthcare

<p>In a perfect world, healthcare data would always be strategically organized, up-to-date, and easily accessible—all in a patient-centered, privacy-first way. But the reality is much more complex.</p> <p><a href="https://www.linkedin.com/in/robin-foreman-ph-d-07820821/" target="_blank">Robin Foreman</a>, Director of Data Science at <a href="https://cvshealth.com" target="_blank">CVS Health</a>, joins the show to discuss the challenging world of data science in clinical trials. She also explains how product analytics can be used on the back end of model implementation to answer the key question of “did it work?”</p> <p>Robin shared her perspective on:</p> <p>- Turning a PhD in public health into a career as a data science leader</p> <p>- Navigating data science and clinical trials</p> <p>- The life cycle of product analytics</p> <p>Tune in on <a href="https://podcasts.apple.com/us/podcast/data-science-leaders/id1564587119" target="_blank">Apple Podcasts</a>, <a href="https://open.spotify.com/show/0zJgKGIHZzJG1VgSDHNojP" target="_blank">Spotify</a>, our <a href="https://www.dominodatalab.com/data-science-leaders-podcast/" target="_blank">website</a>, or wherever you listen to podcasts.</p> <p>Can’t see the links above? Just visit <a href="http://domino.buzz/podcast" target="_blank">domino.buzz/podcast</a> for helpful links from each episode.</p> <p></p>