video1.0<iframe src="https://www.loom.com/embed/3ef9f487cf1f41deb9ed02b5e5cefe3b" frameborder="0" width="1280" height="960" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>9601280Loomhttps://www.loom.com9601280https://cdn.loom.com/sessions/thumbnails/3ef9f487cf1f41deb9ed02b5e5cefe3b-7217cfdd85e0902a.jpg554.603In this video, I discuss the importance of accurately determining the cause of death when analyzing patient data, as it significantly impacts our analysis. I highlight the challenges we face, such as the inaccessibility of death certificates and the fact that up to 40% of them may list incorrect causes of death. To address this, Veritas employs a method that derives cause of death from three years of clinical history, using a weighted algorithm to identify the most likely primary and secondary causes. I encourage you to consider how this data can enhance your analytics, risk models, and survival curves. Please take a moment to reflect on how we can better utilize this information in our work.