{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/3ef9f487cf1f41deb9ed02b5e5cefe3b\" frameborder=\"0\" width=\"1280\" height=\"960\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":960,"width":1280,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":960,"thumbnail_width":1280,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/3ef9f487cf1f41deb9ed02b5e5cefe3b-7217cfdd85e0902a.jpg","duration":554.603,"title":"Understanding Cause of Death in Patient Analysis","description":"In 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."}