video1.0<iframe src="https://www.loom.com/embed/7f6be6009b0f4bfaac206f170a229566" frameborder="0" width="2000" height="1500" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>15002000Loomhttps://www.loom.com15002000https://cdn.loom.com/sessions/thumbnails/7f6be6009b0f4bfaac206f170a229566-331dbb83beff17dd.gif473.813In the video, I walk through the problem of result follow-up overload — physicians are responsible for responding to every result they order, but flooded inboxes and text-based results like pathology reports make it easy for critical findings to slip through. To show a practical fix, I pull up a sample patient note for a 55-year-old with HFpEF and worsening shortness of breath, review the labs and TTE, then paste the results into a Doximity Ask template. Within seconds, the AI generates a patient-friendly summary — anemia, fluid overload, plan for iron studies, colonoscopy, and Lasix — that I can copy directly into the EHR or text to the patient. The point: you tell the AI what the plan is, it handles the communication, and you move on.