{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/948a198dace84974ba259b14d35c749c\" frameborder=\"0\" width=\"1920\" height=\"1440\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1440,"width":1920,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1440,"thumbnail_width":1920,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/948a198dace84974ba259b14d35c749c-ab93279200760b73.gif","duration":199.727,"title":"Analyzing Bone Marrow Transplant Patient Data in the U.S.","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."}