abridge-core-workflow-a

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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".

AI & Automation 2,266 stars 315 forks Updated today MIT

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# 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 ```typescript // src/workflows/encounter-pipeline.ts import axios, { AxiosInstance } from 'axios'; interface EncounterContext { patient_id: string; // FHIR Patient resource ID encounter_id: string; // FHIR Encounter resource ID provider_id: string; // NPI or FHIR Practitioner ID specialty: string; // e.g., 'internal_medicine', 'cardiology' encounter_type: 'outpatient' | 'inpatient' | 'emergency'; department_id?: string; language: string; // ISO 639-1 (Abridge supports 28+ languages) } interface SessionResponse { session_id: string; websocket_url: string; // For real-time audio streaming status: 'initialized' | 'recording' | 'processing' | 'completed'; created_at: string; } async function initializeEncounter( api: AxiosInstance, context: EncounterContext ):...

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Author
jeremylongshore
Repository
jeremylongshore/claude-code-plugins-plus-skills
Created
7 months ago
Last Updated
today
Language
Python
License
MIT

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