<?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/b3f3ef01fd104b259da685ae609d7470&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/b3f3ef01fd104b259da685ae609d7470-3436821c6ad98519.gif</thumbnail_url><duration>2099.633333</duration><title>HR1 Readiness, Intelligent EHR Compliance Workflows</title><description>This Loom focuses on how to prepare for HR1 and maintain readiness of clinical documentation and workflows to succeed. Continuum Cloud’s well-agent platform and Clinically AI are presented together, covering real-time Medicare eligibility checks, documentation support, and compliance auditing to prevent coverage lapses and denied claims. The discussion highlights HR1 timeline pressures, including more frequent eligibility activity through 6-month redeterminations for most states starting after January 1 and heightened documentation scrutiny, plus an upcoming shift toward AI-assisted chart review and prepayment fraud detection. Ross Young and Melissa Jean-Petrie emphasize an “intelligent operating layer” approach that tailors AI to an organization’s payer rules, policies, accreditation needs, and clinician training, demonstrated through medical frailty note and self-attestation letter workflows.</description></oembed>