Hello Patient

Hello Patient builds AI agents (branded "Mia") for patient conversations across voice, text, and web chat, helping healthcare practices automate their front office, back office, and patient-growth workflows. Mia handles 24/7 appointment scheduling, insurance verification, and patient intake on the front office; revenue-cycle (RCM) follow-up and no-show recovery on the back office; and lead conversion, patient recall, and targeted outreach for growth. The platform serves dentistry, dermatology, ENT, mental health, optometry, primary care, urgent care, veterinary, and consumer-health practices, and integrates with EHR and practice systems including ModMed, AdvancedMD, NextGen, eClinicalWorks, Athena Health, Veradigm, Zenoti, and others. Hello Patient is HIPAA compliant and SOC 2 Type 2 certified. It is backed by 8VC and Scale Venture Partners. No public developer API is documented at this time; this profile is maintained by the API Evangelist network.

Hello Patient is profiled on the APIs.io network. Tagged areas include Company, Healthcare, Artificial Intelligence, Conversational AI, and Patient Engagement.

Hello Patient’s developer surface includes engineering blog, signup flow, support, and 11 more developer resources.

🌐 Visit website 📡 Source on GitHub

18.7/100 emerging ▬ flat Agent 0/100 human only Full breakdown ↓
scored 2026-07-27 · rubric v0.5

0 APIs

CompanyHealthcareArtificial IntelligenceConversational AIPatient EngagementHealthcare AutomationVoice AgentsRevenue Cycle ManagementHIPAAEHR Integration

Kin Score

Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5

Composite quality — 18.7/100 · emerging

Contract Quality 0.0 / 25

Developer Ergonomics 1.3 / 20

Commercial Clarity 6.3 / 20

Operational Transparency 0.0 / 13

Governance 0.0 / 12

Discoverability 6.8 / 10

Agent readiness — 0/100 · human only

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 15

MCP Server 0 / 12

Machine-Readable Auth 0 / 10

Idempotency 0 / 9

Stable Error Semantics 0 / 8

Request/Response Examples 0 / 7

Rate-Limit Signaling 0 / 7

Typed Event Surface 0 / 6

Agent Skills 0 / 5

Well-Known Catalog 0 / 4

Consent & Bot Identity 0 / 3

Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. This rating is computed from github.com/api-evangelist/hello-patient: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

Get Started 1

Portal, sign-up, and the first successful call

SignUp

SignUp

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt

LLMsTxt

Design & Contract 1

Pagination, idempotency, versioning, errors, and events

Conformance

Conformance

Access & Security 2

Authentication, authorization, and security posture

Compliance

Compliance

DomainSecurity

DomainSecurity

Operate 1

Status, limits, changes, and where to get help

Support

Support

Commercial 1

Pricing, plans, and the legal terms of use

PrivacyPolicy

PrivacyPolicy

Company 5

The organization behind the API

Website

About

Blog

Careers

LinkedIn

Other 2

Properties that don't map to a standard resource type

Product

Product

CaseStudies

CaseStudies

Source (apis.yml)

aid: hello-patient
name: Hello Patient
description: Hello Patient builds AI agents (branded "Mia") for patient conversations across voice, text, and web chat, helping
  healthcare practices automate their front office, back office, and patient-growth workflows. Mia handles 24/7 appointment
  scheduling, insurance verification, and patient intake on the front office; revenue-cycle (RCM) follow-up and no-show recovery
  on the back office; and lead conversion, patient recall, and targeted outreach for growth. The platform serves dentistry,
  dermatology, ENT, mental health, optometry, primary care, urgent care, veterinary, and consumer-health practices, and integrates
  with EHR and practice systems including ModMed, AdvancedMD, NextGen, eClinicalWorks, Athena Health, Veradigm, Zenoti, and
  others. Hello Patient is HIPAA compliant and SOC 2 Type 2 certified. It is backed by 8VC and Scale Venture Partners. No
  public developer API is documented at this time; this profile is maintained by the API Evangelist network.
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source: []
  generated: '2026-07-22'
  method: derived
image: https://cdn.prod.website-files.com/67363ec98e673c430a5d5eeb/6871773ed05ac7f7b4c6f785_OG%20-%20Home.png
url: https://raw.githubusercontent.com/api-evangelist/hello-patient/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- 8vc
- scale-venture-partners
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.20'
created: '2026-07-17'
modified: '2026-07-19'
tags:
- Company
- Healthcare
- Artificial Intelligence
- Conversational AI
- Patient Engagement
- Healthcare Automation
- Voice Agents
- Revenue Cycle Management
- HIPAA
- EHR Integration
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Website
  url: https://hellopatient.com
- type: Product
  url: https://hellopatient.com/product
- type: About
  url: https://hellopatient.com/about
- type: Blog
  url: https://hellopatient.com/blog
- type: CaseStudies
  url: https://hellopatient.com/case-studies
- type: SignUp
  url: https://hellopatient.com/schedule
- type: Support
  url: mailto:hello@hellopatient.com
- type: PrivacyPolicy
  url: https://hellopatient.com/privacy-policy
- type: Careers
  url: https://jobs.ashbyhq.com/hellopatient
- type: LinkedIn
  url: https://www.linkedin.com/company/hello-patient/
- type: Compliance
  url: conformance/hello-patient-conformance.yml
- type: Conformance
  url: conformance/hello-patient-conformance.yml
- type: DomainSecurity
  url: security/hello-patient-domain-security.yml
- type: LLMsTxt
  url: llms/hello-patient-llms.txt
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence