# Post Procedure Follow Up Team

- **Event:** [The Future of Agentic AI in Healthcare - Abridge x Anthropic x Lightspeed](https://cerebralvalley.ai/e/abridge-hackathon)
- **When:** Sat, Jul 18 at 9:00 AM – 10:00 PM (PDT)
- **Where:** San Francisco, CA
- **Team:** [Hannah Kim](https://cerebralvalley.ai/u/hankim), [Lakshmi Subbaraj](https://cerebralvalley.ai/u/lsubbaraj)
- **GitHub:** https://github.com/lakshmisubbaraj/post-discharge-triage-agent
- **Demo video:** https://drive.google.com/file/d/1Wpoq0BjTw_dGc8r2-GSFwWWt3PTuMmgs/view
- **Gallery:** https://cerebralvalley.ai/e/abridge-hackathon/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/abridge-hackathon/hackathon/gallery/72

The problem: Post-hospitalization/post-procedure readmissions cost health systems billions a year and are penalized directly under CMS's Hospital Readmissions Reduction Program. Most of the early warning signs — worsening symptoms, medication confusion, uncontrolled pain — surface in the days right after discharge, in a phone check-in that may or may not happen, get documented inconsistently, or reach the right clinician in time.
The idea: An agent places (or receives) a structured check-in call a few days after discharge, grounded in that specific patient's actual diagnosis, comorbidities, and medications. It scores the conversation against condition-specific red flags and routes the patient to one of four outcomes: urgent care referral, same-day physician callback, labs/imaging recommended, or routine follow-up — with a drafted chart note and a rationale a clinician can quickly verify.
This is a natural extension of what Abridge already does (ambient conversation → structured clinical output), just pointed at a post-visit check-in instead of the exam room.

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Markdown version of https://cerebralvalley.ai/e/abridge-hackathon/hackathon/gallery/72. Site index for agents: https://cerebralvalley.ai/llms.txt · full text: https://cerebralvalley.ai/llms-full.txt