<?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/948a198dace84974ba259b14d35c749c&quot; frameborder=&quot;0&quot; width=&quot;1920&quot; height=&quot;1440&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1440</height><width>1920</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1440</thumbnail_height><thumbnail_width>1920</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/948a198dace84974ba259b14d35c749c-ab93279200760b73.gif</thumbnail_url><duration>199.727</duration><title>Analyzing Bone Marrow Transplant Patient Data in the U.S.</title><description>In this video, I walk you through our commercial analytics workflow to identify which hemonc saw the most bone marrow transplant patients in the U.S. during 2023-2024. We found that there are no significant studies on this topic, so I utilized our oncology data source, Kratos, to analyze the patient counts by month. I focused on the Mayo Clinic region, where we identified 530 patients seen by hemonc doctors. I also highlighted the importance of filtering the data to examine specific doctor call activities. Please take a look at the underlying data and consider how we can leverage these insights for our strategy.</description></oembed>