Regard AI
Best for hospitals
Reduces clinician burnout
Enhances patient safety
Revenue optimization
AI-powered documentation
Transform healthcare with AI-powered proactive documentation at the point of care.
Last updated: Apr 15, 2026
PAID
regard.com
Quick Answer
Regard AI is a healthcare documentation platform that uses AI to review patient data, recommend diagnoses, and generate complete clinical notes. It helps clinicians reduce administrative burden and improve patient safety by providing proactive documentation. Best for large hospitals and health systems. Pricing is enterprise-based.
About Regard AI
Regard is an AI-powered clinical insights platform for healthcare systems that reviews patient data to recommend diagnoses and generate complete documentation. It unifies clinical and administrative teams by providing near-complete and accurate documentation before physician encounters. This improves care quality, reduces clinician burden, and optimizes revenue for hospitals.
What Makes It Unique
Regard's platform proactively unifies clinical and administrative teams by generating near-complete and accurate documentation from comprehensive patient data before the physician sees the patient, shifting from reactive to proactive documentation.
Use Cases & Target Users
Use Cases
Best For
Improving clinical documentation accuracy
Reducing physician administrative burden
Unlocking revenue for health systems
Enhancing patient safety through comprehensive insights
Streamlining healthcare administrative processes
Company Size
MEDIUM
ENTERPRISE
Fit Score
Complexity
ADVANCED
Target Team Size
LARGE_TEAM
Target Skill Level
EXPERT
Key Features
Review entire medical record data
Recommend diagnoses at point of care
Generate complete draft clinical notes
Surface critical patient insights
Catch undiagnosed conditions and missed context
Improve documentation accuracy
Technical Specifications
API Available
SDK Available
MCP Compatible
Open Source
Team Features
SSO/Enterprise
Webhook Support
Has Demo
Deployment:
CLOUD
Pros
- +Proactively generates documentation before patient encounters
- +Unifies clinical and administrative teams
- +Surfaces critical insights from vast patient data
- +Significantly reduces physician documentation time
- +Helps protect and increase hospital revenue
- +Enhances patient safety by preventing missed diagnoses
Limitations
- -Requires integration with existing EHR systems
- -Specific pricing details not publicly available
- -Requires adoption and training for clinical staff
- -No explicit mention of multi-language support
Uses Models
GPT-4
Decision Intelligence
Best For
Improving clinical documentation accuracy
Reducing physician administrative burden
Unlocking revenue for health systems
Enhancing patient safety through comprehensive insights
Streamlining healthcare administrative processes
Not Ideal For
Individual practitioners or small clinics without complex EHR systems
Patients looking for direct diagnostic tools
Non-healthcare related documentation needs
Organizations outside of hospital or health system environments
Frequently Asked Questions
Your Actions
Dimension Scores
Ease of Use6/10
Output Quality8/10
Value for Money7/10
Customization5/10
Support6/10
Integration1/10
Task Scores
Clinical Documentation
9
Diagnosis Support
8
Medical Coding
7
Compliance Tracking
7
Research Analysis
4
Patient Communication
3
Drug Interaction Check
2
Health Monitoring
2
Trust Score
60/100
Fair
Based on 6 verified signals
Trust Signals
Verified CompanyRegard
Notable CustomersPenn Highlands, UAMS, UVA +5
User Base<1K
Funding$84M
Team Size51-200
Data Residency
Switching & Migration
Migration Difficulty
Significant Effort
Data portable as:
CSV
JSON
Dedicated customer support
Quick Stats
CategoryClinical Documentation
PlatformsWEB, API
Integrations0+
Views1
LaunchedJan 2020
Setup Time30-60 days (average), 8 hours (fastest)
AddedMar 2026