| name | abridge-core-workflow-a |
| description | Implement Abridge ambient clinical documentation capture-to-note pipeline.
Use when building the primary encounter workflow: audio capture, real-time
transcription, AI note generation, and EHR note insertion.
Trigger: "abridge clinical workflow", "abridge encounter pipeline",
"ambient documentation workflow", "abridge note generation".
|
| allowed-tools | Read, Write, Edit, Bash(npm:*), Grep |
| version | 1.4.0 |
| license | MIT |
| author | Jeremy Longshore <jeremy@intentsolutions.io> |
| tags | ["saas","healthcare","ai","abridge","clinical-documentation"] |
| compatibility | Designed for Claude Code |
Abridge Core Workflow A — Encounter-to-Note Pipeline
Overview
Primary money-path workflow for Abridge: capturing a clinical encounter via ambient listening, processing it through Abridge's generative AI, producing a structured clinical note, and pushing it into the EHR. This is the workflow that runs millions of times daily across health systems using Abridge.
Prerequisites
- Completed
abridge-install-auth setup
- EHR integration configured (Epic preferred)
- Audio capture infrastructure (microphone array or mobile device)
- HIPAA-compliant transport layer (TLS 1.3+)
Instructions
Step 1: Initialize Encounter Session
import axios, { AxiosInstance } from 'axios';
interface EncounterContext {
patient_id: string;
encounter_id: string;
provider_id: string;
specialty: string;
encounter_type: 'outpatient' | 'inpatient' | 'emergency';
department_id?: string;
language: string;
}
interface SessionResponse {
session_id: string;
websocket_url: string;
: | | | ;
: ;
}
(): <> {
{ data } = api.(, {
...context,
: ,
: ,
: ,
: ,
});
.();
.();
data;
}