{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/7f6be6009b0f4bfaac206f170a229566\" frameborder=\"0\" width=\"2000\" height=\"1500\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1500,"width":2000,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1500,"thumbnail_width":2000,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/7f6be6009b0f4bfaac206f170a229566-331dbb83beff17dd.gif","duration":473.813,"title":"Streamlining Patient Result Responses with AI","description":"In 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."}