菜单
Create a minimal Abridge ambient AI clinical documentation example. Use when testing Abridge integration, verifying EHR connectivity, or learning how Abridge captures and structures clinical conversations. Trigger: "abridge hello world", "abridge example", "abridge quick start", "test abridge".
默认使用会先检查来源的 Prompt；你也可以切换为直接命令，或下载本地副本。
决定是否安装前，请先阅读 SKILL.md，以及 SkillsMP 当前展示的配套文件。
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt；运行前请先检查来源。
npx skills add https://github.com/ComeOnOliver/skillshub --skill abridge-hello-world命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地？可下载 SkillsMP 当前能够提供的文件。
正在显示 SKILL.md
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基于 SOC 职业分类
| name | abridge-hello-world |
| description | Create a minimal Abridge ambient AI clinical documentation example. Use when testing Abridge integration, verifying EHR connectivity, or learning how Abridge captures and structures clinical conversations. Trigger: "abridge hello world", "abridge example", "abridge quick start", "test abridge". |
| allowed-tools | Read, Write, Edit, Bash(npm:*), Bash(curl:*) |
| version | 1.0.0 |
| license | MIT |
| author | Jeremy Longshore <jeremy@intentsolutions.io> |
| tags | ["saas","healthcare","ai","abridge","clinical-documentation"] |
| compatible-with | claude-code |
Minimal working example demonstrating Abridge's ambient clinical documentation. This creates a simulated encounter session, sends audio/transcript data, and receives a structured clinical note.
abridge-install-auth setupmkdir abridge-hello-world && cd abridge-hello-world
npm init -y
npm install axios dotenv typescript @types/node
npx tsc --init --target ES2022 --module NodeNext --moduleResolution NodeNext
// src/encounter-session.ts
import axios, { AxiosInstance } from 'axios';
interface EncounterSession {
session_id: string;
patient_id: string;
provider_id: string;
encounter_type: 'outpatient' | 'inpatient' | 'emergency';
status: 'active' | 'processing' | 'completed';
created_at: string;
}
interface ClinicalNote {
note_id: string;
session_id: string;
sections: {
chief_complaint: string;
history_present_illness: string;
review_of_systems: ;
: ;
: ;
: ;
};
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{
: ;
() {
. = axios.({
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: {
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(
: ,
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): <> {
{ data } = ..(, {
: patientId,
: providerId,
: encounterType,
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});
data;
}
(: , : ): <> {
..(, {
: transcript,
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});
}
(: ): <> {
..();
attempts = ;
(attempts < ) {
{ : session } = ..();
(session. === ) {
{ : note } = ..();
note;
}
( (r, ));
attempts++;
}
();
}
}
{ , , };
// src/main.ts
import 'dotenv/config';
import { AbridgeClient } from './encounter-session';
// Sample clinical conversation transcript (de-identified)
const SAMPLE_TRANSCRIPT = `
Doctor: Good morning, what brings you in today?
Patient: I've been having this persistent cough for about two weeks now.
Doctor: Is it a dry cough or are you producing any sputum?
Patient: It's mostly dry, but sometimes I cough up a little clear mucus.
Doctor: Any fever, chills, or shortness of breath?
Patient: No fever, but I do feel a little short of breath when I climb stairs.
Doctor: Are you a smoker?
Patient: No, I quit about five years ago. I smoked for about ten years before that.
Doctor: Let me listen to your lungs. Take a deep breath... Okay, I hear some mild
wheezing in both lung fields. Your oxygen saturation is 97%.
Doctor: I think this is likely a post-viral cough, possibly with some mild reactive
airway disease given your smoking history. I'd like to start you on an inhaler
and have you come back in two weeks. If the cough persists, we'll get a chest X-ray.
Patient: Sounds good, thank you.
`;
async function main() {
const client = new AbridgeClient();
// 1. Create encounter session
console.log('Creating encounter session...');
const session = await client.createSession('patient_demo_001', 'provider_demo_001');
console.log(`Session created: ${session.session_id}`);
// 2. Submit transcript
console.log('Submitting transcript...');
await client.submitTranscript(session.session_id, SAMPLE_TRANSCRIPT);
console.log('Transcript submitted');
// 3. Generate clinical note
console.log('Generating clinical note (this may take 10-30 seconds)...');
const note = await client.generateNote(session.session_id);
console.log('\n=== Generated Clinical Note ===');
console.log(`Chief Complaint: ${note.sections.chief_complaint}`);
console.log(`Assessment: ${note.sections.assessment}`);
console.log(`Plan: ${note.sections.plan}`);
console.log(`\nICD-10 Codes: ${note.icd10_codes.map(c => c.code).join(', ')}`);
console.log(`Confidence: ${(note.confidence_score * 100).toFixed(1)}%`);
console.log(`Source Citations: ${note.source_citations.length} segments linked`);
}
main().catch(console.error);
| Error | Cause | Solution |
|---|---|---|
401 Unauthorized | Invalid sandbox credentials | Re-check .env.local credentials |
422 Invalid specialty | Unsupported specialty code | Use supported values from API docs |
| Note generation timeout | Large/complex transcript | Increase polling timeout beyond 60s |
| Empty note sections | Transcript too short | Provide at least 30 seconds of conversation |
| Missing ICD codes | Ambiguous clinical content | Ensure transcript includes clear diagnoses |
Proceed to abridge-local-dev-loop for development workflow with live audio capture.