<?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/f9901e3dfe4146f5a234264873e2e899&quot; frameborder=&quot;0&quot; width=&quot;2432&quot; height=&quot;1824&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1824</height><width>2432</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1824</thumbnail_height><thumbnail_width>2432</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/f9901e3dfe4146f5a234264873e2e899-a9a2be526f041d12.gif</thumbnail_url><duration>2099.76</duration><title>Beating the Clock: Cutting Timelines Without Cutting Corners with XCS</title><description>This Loom explains how the XCS team achieves faster payer enrollment turnaround times without cutting corners. Rachel Woodhouse says there is no secret payer contact, and that payers account for roughly 80 to 90 percent of the overall 90 to 180 day timeline, but the team reduces “invisible days” by ensuring complete provider profiles, responding quickly to payer requests, and identifying when files stall using tracking and tags. She describes standardizing workflows, simplifying initial payer enrollment steps from about 8 or 9 to 3, and using “pending” versus “hold” tags to distinguish capacity issues from items like DEA license waiting. The team measures final turnaround time as a lagging metric, breaks it down by steps with follow up dates, and uses dashboards to monitor overdue tracking while protecting quality through monthly audits.</description></oembed>