regard

JSON twin: https://www.healthaidb.com/software/regard.json

Company Name

Regard

Product URL

https://regard.com/proactive-documentation/

Company URL

https://regard.com

Categories

Summary

AI-powered clinical insights and proactive documentation platform that analyzes EHR chart data (and patient–clinician conversations) to recommend diagnoses and generate near-complete draft clinical notes at the point of care.

Description

Regard is a commercial AI clinical co‑pilot that unifies clinical and administrative workflows by scanning structured and unstructured EHR data to surface hidden clinical insights, recommend diagnoses, produce draft documentation before patient encounters, improve coding capture, reduce clinician burden, and protect hospital revenue.

Api Available

yes

Certifications

Company Founding

2017

Company Offices

Compliance

Customers

Data Residency

Data Standards

Deployment Model

Features

Id

P1403

Integration Partners

Integrations

Languages Supported

Last Updated

2025-09-07

License

commercial proprietary

Links

Market Segment

Optional Modules

Os Platforms

Pricing Details

Contact vendor for pricing; demos and ROI calculators available on request.

Pricing Model

enterprise_quote

Privacy Features

Ratings

Regions Available

Release Year

2021

Security Features

Specialties

Support Channels

System Requirements

SaaS; integrates with customer EHR via SMART on FHIR (no on‑prem requirements listed)

Target Users

Training Options

Type

product

User Reviews

Version

1.0

Canonical JSON

{
  "company_name": "Regard",
  "company_url": "https://regard.com",
  "company_offices": [
    "United States (Los Angeles)",
    "United States (New York City)"
  ],
  "company_founding": "2017",
  "product_url": "https://regard.com/proactive-documentation/",
  "categories": [
    "clinical",
    "diagnostic",
    "clinical documentation",
    "AI clinical insights",
    "patient-facing (clinician-facing)"
  ],
  "market_segment": [
    "enterprise",
    "health system",
    "provider"
  ],
  "links": [
    "https://regard.com/",
    "https://regard.com/proactive-documentation/",
    "https://regard.com/about-us/",
    "https://regard.com/impact/",
    "https://regard.com/media/",
    "https://regard.com/case-study/sentara-health/",
    "https://regard.com/demo/",
    "https://regard.com/certification/",
    "https://elion.health/products/regard",
    "https://techcrunch.com/2022/06/29/regard-serves-as-a-medical-co-pilot-for-busy-physicians/"
  ],
  "summary": "AI-powered clinical insights and proactive documentation platform that analyzes EHR chart data (and patient–clinician conversations) to recommend diagnoses and generate near-complete draft clinical notes at the point of care.",
  "description": "Regard is a commercial AI clinical co‑pilot that unifies clinical and administrative workflows by scanning structured and unstructured EHR data to surface hidden clinical insights, recommend diagnoses, produce draft documentation before patient encounters, improve coding capture, reduce clinician burden, and protect hospital revenue.",
  "target_users": [
    "physicians",
    "clinicians",
    "advanced practice providers",
    "clinical documentation specialists",
    "health system administrators",
    "coding and revenue cycle teams"
  ],
  "specialties": [
    "internal medicine",
    "primary care",
    "hospital medicine",
    "emergency medicine",
    "cardiology"
  ],
  "regions_available": [
    "United States"
  ],
  "languages_supported": [
    "English"
  ],
  "pricing_model": "enterprise_quote",
  "pricing_details": "Contact vendor for pricing; demos and ROI calculators available on request.",
  "license": "commercial proprietary",
  "deployment_model": [
    "SaaS"
  ],
  "os_platforms": [
    "Web",
    "iOS",
    "Android"
  ],
  "features": [
    "Draft clinical notes (SOAP, H&P, progress notes) pre-populated from chart data",
    "Discharge summary generation",
    "Attestation generation",
    "Maintain clinician preferred writing style",
    "Real‑time scribe integration (Regard scribe or ambient scribes)",
    "Combine chart data with room conversation to generate notes",
    "Chat assistant (Max) to query patient data",
    "Summarize patient encounters",
    "Diagnosis and care planning assistance from AI",
    "Single‑patient and bulk EHI export"
  ],
  "optional_modules": [
    "Regard Scribe (ambient/real‑time scribing)",
    "Max AI assistant (advanced chat/diagnostic assistant)"
  ],
  "integrations": [
    "EHRs via SMART on FHIR (connects to customer EMR authentication/workflows)",
    "Ambient scribe providers (generic integration)",
    "Regard Scribe (native)",
    "Patient chart data sources / clinical data repositories"
  ],
  "data_standards": [
    "FHIR",
    "SMART on FHIR",
    "USCDI",
    "CSV (EHI export format)"
  ],
  "api_available": "yes",
  "system_requirements": "SaaS; integrates with customer EHR via SMART on FHIR (no on‑prem requirements listed)",
  "compliance": [
    "ONC Cures Update certified (listed certification criteria)",
    "HIPAA"
  ],
  "certifications": [
    "ONC Certification (listing: 15.04.04.3192.Rega.01.00.0.240502)",
    "ISO 9001 (CQMS)"
  ],
  "security_features": [
    "Supports EMR/SMART on FHIR two‑factor/MFA",
    "Role‑based/admin access controls",
    "Administrative controls for EHI export"
  ],
  "privacy_features": [],
  "data_residency": "",
  "customers": [
    "Cedars-Sinai Accelerator",
    "Penn Highlands",
    "UAMS",
    "University of Virginia (UVA)",
    "Mainline Health",
    "FirstHealth",
    "Kettering Health",
    "WakeMed",
    "WMCHealth",
    "Eisenhower",
    "Sentara Health"
  ],
  "user_reviews": [],
  "ratings": [
    "KLAS Spotlight report (Regard 2023)"
  ],
  "support_channels": [
    "email"
  ],
  "training_options": [
    "documentation",
    "certification"
  ],
  "release_year": "2021",
  "integration_partners": [
    "EHR (embedded integration)",
    "Regard scribe",
    "ambient scribe (3rd-party scribes)",
    "OpenAI (GPT-4)"
  ],
  "id": "P1403",
  "slug": "regard",
  "type": "product",
  "version": "1.0",
  "last_updated": "2025-09-07",
  "links_json": {
    "self": "https://www.healthaidb.com/software/regard.json"
  }
}