<?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/d3ebf79d42da4c4f8523f7e9a8282ab4&quot; frameborder=&quot;0&quot; width=&quot;1268&quot; height=&quot;951&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>951</height><width>1268</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>951</thumbnail_height><thumbnail_width>1268</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/d3ebf79d42da4c4f8523f7e9a8282ab4-a758fb89db674ebf.gif</thumbnail_url><duration>1408.039</duration><title>splose AI vision deck</title><description>This Loom presents Zoe’s vision for the future Sploice AI documentation workflow, aiming to move the percentage of clinicians whose finished notes were initially drafted with AI. The thesis is that clinicians should check notes rather than write them, by shifting from writing prompts and templates before recording to a simpler capture-first flow where progress notes draft in the background. In the prototype, Helen can start a capture in two clicks without linking a patient or template, record consent if needed, and then review AI-generated progress notes, plus drafts like invoices, email summaries, and suggested tasks. Zoe also explains progress note templates versus saved prompts and introduces an AI consent and review process before finalizing.</description></oembed>