<?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/6542adb8b4684fc8a933811ab654d3df&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/6542adb8b4684fc8a933811ab654d3df-bba14e1fd86efab7.gif</thumbnail_url><duration>486.677334</duration><title>MPC Explorer Patient Journey </title><description>This Loom introduces a new Explorer module called Patient Journey for analysing how patients move through events over time. It shows how to select cohorts using event triggers, then measure conversion rates across multiple steps, such as registrations between September 2020 and October 2024 where 1,206 registered and 274 converted to an exam within 12 months, with 932 not converting. It also demonstrates a live, evolving view up to the present day, including counts like 46 who have not converted to hygiene yet but have a future appointment and 48 who have neither conversion nor a booked appointment. The module supports breakdowns by practice and demographics and allows drilling into specific patient lists, with export and AI assistant Mac query support.</description></oembed>