<?xml version="1.0" encoding="UTF-8"?><oembed><type>video</type><version>1.0</version><html>&lt;iframe src=&quot;https://www.loom.com/embed/552faecab0344c508b1e12ba6bcb426b&quot; frameborder=&quot;0&quot; width=&quot;1280&quot; height=&quot;960&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>960</height><width>1280</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>960</thumbnail_height><thumbnail_width>1280</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/552faecab0344c508b1e12ba6bcb426b-f4df303fc79a54c9.jpg</thumbnail_url><duration>341.825</duration><title>Understanding Mortality Data Coverage in Healthcare Claims</title><description>In this video, I discuss the limitations of internal medical claims data regarding patient mortality. Many healthcare organizations believe they have sufficient coverage, but in reality, only about 20% of deaths are captured in these claims, primarily when patients die during inpatient care. Most patients do not pass away in healthcare settings, which is a critical issue. To address this, our de-identified mortality data set augments claims-derived deaths with additional sources, achieving coverage levels that exceed 90%. I encourage you to consider the implications of this data for your organization and how it can enhance our understanding of patient mortality.</description></oembed>