GenAI
Patient Discharge Agent
Turns unstructured discharge summaries into structured, comparable data — and answers only from the records themselves.
Year :
2024-2025
Industry :
Healthcare
Client :
Freelancer Client
Project Duration :
4 weeks
Problem :
Discharge summaries are dense walls of free text, and every clinician writes them differently. The details that matter most — diagnoses, medication changes, risk flags, follow-up instructions — sit buried in prose. Comparing patients, or spotting which discharge carries the highest readmission risk, means reading every summary end to end. At the scale of a real ward that is slow and error-prone, and it's exactly where missed follow-ups and avoidable readmissions slip through. The information exists; it just isn't in a form anyone can query or compare.
Challenge :
The assistant converts each discharge PDF into structured clinical JSON, then indexes every summary for retrieval-augmented answers. A FAISS vector search grounds the model in the real documents, so a question like "which patient has the highest discharge risk?" is answered only from what was uploaded. A comparison dashboard lines patients up side by side — diagnosis, length of stay, risk flags — and a chat assistant reasons across the whole cohort.
Solution :
Turning that free text into reliable, comparable data is hard on two fronts. Extraction has to stay consistent across wildly different writing styles, and any AI answer about a patient must be grounded in that patient's actual record — never invented. In clinical work, a confident hallucination is worse than no answer at all.
Summary :
Unstructured summaries become a queryable, comparable dataset in minutes. Retrieval-augmented generation keeps every answer anchored to its source documents, cutting hallucination. Clinicians and operations teams get a cohort view plus a grounded assistant for ad-hoc questions. It's a working demonstration of how a hybrid LLM + RAG architecture supports discharge optimisation and patient safety.
Our Approach
From initial concept to final delivery, our process is built around clarity and collaboration. We begin with a deep discovery phase to understand your goals, followed by iterative design and development cycles that keep you informed at every step. The result is a polished, purposeful product that truly reflects your vision.
