---
title: "Referral Intake Review"
section: "Agent store — Healthcare — Referral Management"
canonical_url: "https://leverge.ai/agents/healthcare/referral-management/referral-intake"
category: "Healthcare"
process: "Referral Management"
trigger: "Run on demand"
publisher: "Ailoitte Technologies Private Limited"
---

# Referral Intake Review

Check an incoming referral letter against the receiving service's acceptance criteria, extract the clinical detail, and say plainly whether it can be booked or what is missing before it can.

## At a glance

- Business function: Healthcare
- Process: Referral Management
- Runs: run on demand
- Run cost: 6 credits
- Uses a knowledge base: no

## What it needs

- **Referral letter** (file upload) — The letter as received. Text is extracted before anything is sent to the model.
- **Receiving service** (form)

## How it works

1. Extracting the letter
2. Reading the referral
3. Checking it against acceptance criteria
4. Deciding the outcome
5. Mapping to a FHIR ServiceRequest

## What it returns

- **Acceptance check** (validation result)
- **What happens next** (markdown doc)
- **Referral** (metadata grid)
- **Presenting problem** (written summary)
- **Investigations included** (table of results)
- **Needs attention** (flagged exceptions)
- **FHIR R4 ServiceRequest** (json payload)

---

Source: https://leverge.ai/agents/healthcare/referral-management/referral-intake — Leverge