# AvoMD

**Canonical:** https://apis.io/providers/avomd/  
**Website:** https://www.avomd.com  
**APIs profiled:** 0

AvoMD (Avo) is a clinical AI platform that integrates directly with electronic health record (EHR) systems to power AI copilots for healthcare workflows. It combines EHR data with trusted clinical knowledge bases to support decision-making, documentation, and care delivery across inpatient and outpatient settings. Avo's product line includes Chart Assist, an AI Scribe for ambient clinical documentation, and AI Consult, serving rural and small hospitals, large and mid-size hospitals, and ambulatory care, in partnership with medical societies and knowledge partners. The company is SOC 2 Type II compliant and backed by 500 Global.

## Kin Score — 12.8 / 100 (emerging)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 12.8).

| Facet | Score |
|---|---|
| Discoverability | 50.0 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 2.6 |
| Developer Ergonomics | 4.8 |
| Commercial Clarity | 28.9 |
| Access Clarity | 28.9 |

Regulatory layer — **Health**: 23.8 (matched via tags).

## Agent readiness — 0.0 (human-only)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | no |
| Reversibility Documented | no |
| MCP Server | no |
| Auth Clarity | no |
| Idempotency | no |
| Error Semantics | no |
| OpenAPI Examples | no |
| Rate Limit Signal | no |
| Event Surface Described | no |
| Agent Skills | no |
| Well Known Catalog | no |
| Consent Identity | no |
| Agent Card | no |
| Dry Run Mode | no |

## Access

Unknown — onboarding: unknown, pricing: unknown, trial: no (confidence: low).

## Security (1)

- **Avomd Domain Security** — TLSv1.3 · HSTS · DMARC

## Tags

Company, Healthcare, Clinical Decision Support, Artificial Intelligence, Electronic Health Records, Medical, Clinical Documentation, Health IT

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Profiled by [API Evangelist](https://apievangelist.com) and published on [APIs.io](https://apis.io/providers/avomd/). Scores are computed from the provider's own public artifacts under a published rubric.