How AI Makes Medical Summaries Make Sense

Current After-Visit Summaries (AVS) are failing patients due to "information density fatigue." While 65% of users are highly motivated to review their post-consultation data, the PDF format’s poor hierarchy and lack of prioritization create significant cognitive barriers.
Our research indicates a high appetite for LLM-powered intelligence to transform static PDFs into actionable, compartmentalized dashboards. By transitioning from a "document-centric" to a "task-centric" model, we can increase patient adherence, reduce network leakage, and improve health literacy.