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Verified July 24, 2026AI Clinical Decision Support and Diagnosis Coding

Regard AI

Regard / regardhealth.com

AI-powered clinical decision support platform analysing patient data to identify missed diagnoses, support CDI documentation, and improve clinical accuracy and revenue integrity.

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Pricing

Free

Free plan

No

Category

Developer Tools

Platforms

2

Free plan

No

API access

No

Open source

No

Platforms

2

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What is Regard AI?

Regard is a clinical decision support platform using AI to analyse patient data in real time — identifying conditions that may be present in the patient's history and current presentation but aren't yet documented in the encounter, supporting clinical documentation improvement (CDI) and improving diagnostic accuracy. The AI analyses vital signs, lab results, medication orders, and previous encounters in the EHR to surface clinical insights that support clinicians in making complete and accurate diagnoses. CDI support is Regard's primary commercial value — ensuring that documented diagnoses reflect the full clinical picture of the patient's complexity. More complete diagnosis documentation leads to more accurate coding, better severity-adjusted quality measures, and improved revenue integrity for health systems. Regard integrates directly with Epic and Cerner — appearing as an integrated panel within the physician workflow rather than a separate application. Clinical Decision Support alerts identify conditions meeting diagnostic criteria that are not yet documented — suggesting diagnoses for physician consideration rather than autonomous diagnosis. Customers include health systems across academic medical centres and regional hospitals.

healthcareaiclinical-decision-supportcdidiagnosisehr
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How Regard AI works

Regard AI runs as ml platform software built around data and text workflows. Users typically start with a prompt, upload, or connected data source, and the underlying model handles the heavy lifting before returning a result you can refine or export. It's available on web and ehr integration.

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Key Features

What makes it worth shortlisting

The capabilities that matter most for teams evaluating Regard AI.

01

AI diagnosis suggestion

Analyses vitals, labs, medication orders, and history in real time to identify conditions meeting diagnostic criteria not yet documented — surfacing suggestions for physician consideration.

02

CDI workflow integration

Appears as an integrated panel in Epic and Cerner — bringing diagnosis support into the existing physician workflow without requiring separate application access.

03

Revenue integrity analytics

Tracks diagnosis capture rates and revenue impact of complete documentation — quantifying the CDI programme ROI for health system leadership.

AI diagnosis suggestion (CDI support)Clinical Decision Support alertsEHR integration (Epic, Cerner)Real-time patient data analysisCondition identification from vitals, labs, and historySeverity scoring supportPhysician review interfaceAnalytics and capture rate reporting

Best use cases

Clinical documentation improvement AI
Missed diagnosis identification support
Revenue integrity through complete documentation
EHR-integrated clinical decision support
Physician workflow AI assistance

Who should use it

Chief Medical Officers
CDI programme directors
Revenue cycle and coding leaders
Hospitalist and physician groups
Health system CMIOs

Pros

  • EHR-integrated workflow appears within Epic and Cerner rather than requiring separate application access
  • CDI support improves diagnosis documentation completeness with measurable revenue integrity ROI
  • Real-time analysis of vitals, labs, and history surfaces conditions meeting diagnostic criteria
  • Clinical Decision Support alerts are physician suggestions — not autonomous diagnosis — maintaining appropriate clinical oversight

Cons

  • Health system-only focus — not applicable for small practices or non-acute care settings
  • Clinical AI adoption requires physician trust-building and change management investment
  • Competing with Nuance DAX (covered), M*Modal, and Solventum for clinical documentation and CDI market

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Pricing Analysis

Is it worth the price?

Enterprise licensing to health systems and hospitals. No public pricing. Annual contracts. Demo available.

Model

Enterprise

Starting price

Free

Free trial

Yes

Similar Tools

Tools like Regard AI

Nuance DAX (covered) provides ambient clinical documentation. M*Modal provides clinical documentation AI. 3M (Solventum) provides CDI and coding. Iodine Software provides CDI AI. Artifact Health provides CDI.

Comparison

Regard AI vs Hugging Face

A side-by-side look at the closest alternative in this category.

Regard AI favicon

Regard AI

Regard

Hugging Face favicon

Hugging Face

Hugging Face

Overview
Rating
—
—
Category
Developer Tools
Developer Tools
Subcategory
AI Clinical Decision Support and Diagnosis Coding
AI Model Hub
Company
Regard
Hugging Face
Status
Active
Active
Launch year
2023
2016
Tags
healthcareaiclinical-decision-supportcdidiagnosisehr
open-sourcemachine-learningmodelsdatasetstransformersresearch
Pricing
Starting price
FreeBest value
$9/mo
Pricing model
Enterprise
Freemium
Free plan
No
Yes
Free trial
✓
✕
Pricing notes

Enterprise licensing to health systems and hospitals. No public pricing. Annual contracts. Demo available.

Free for most models and Spaces. Pro $9/month for private models, priority inference, and ZeroGPU. Enterprise Hub from $20/user/month for team collaboration and security.

Capabilities
Best for
Clinical documentation improvement AIMissed diagnosis identification supportRevenue integrity through complete documentationEHR-integrated clinical decision supportPhysician workflow AI assistance
Open source model explorationModel fine-tuningResearchML model deploymentDataset management
Target audience
Chief Medical OfficersCDI programme directorsRevenue cycle and coding leadersHospitalist and physician groupsHealth system CMIOs
AI researchersML engineersData scientistsDevelopersAcademic researchers
AI type
ML Platform
ML Platform
Modalities
DataText
TextImageAudioVideoCode
Technical
Model provider
Regard
Open Source Community
Model names
—
LlamaMistralStable DiffusionFLUXWhisper
API available
✕
✓
Open source
✕
✓
Deployment
SaaS
SaaSAPIOpen Source
Platforms
WebEHR integration
WebPython library
Integrations
EpicCernerAPI
GitHubGoogle ColabAWSAzureGCPVS Code
Team collaboration
✕
✓
Trust & security
Security

HIPAA compliant. SOC 2 Type II. ISO 27001. Enterprise data handling agreements.

Enterprise Hub includes SSO, access controls, audit logs, and private infrastructure. SOC 2 compliant.

Privacy notes

Patient clinical data processed under HIPAA with healthcare privacy protections. Clinical AI analysis does not replace physician diagnosis — supports documentation completeness.

Public models and datasets are openly accessible. Enterprise Hub provides private model storage with data handling agreements. Review individual model licences before commercial deployment.

Verdict
Pros
  • EHR-integrated workflow appears within Epic and Cerner rather than requiring separate application access
  • CDI support improves diagnosis documentation completeness with measurable revenue integrity ROI
  • Real-time analysis of vitals, labs, and history surfaces conditions meeting diagnostic criteria
  • Clinical Decision Support alerts are physician suggestions — not autonomous diagnosis — maintaining appropriate clinical oversight
  • De facto standard hub for open source AI models with 500,000+ available
  • Transformers library provides consistent API for diverse model families
  • Spaces enable easy demo deployment without web infrastructure
  • Free for public models and strong community support
Cons
  • Health system-only focus — not applicable for small practices or non-acute care settings
  • Clinical AI adoption requires physician trust-building and change management investment
  • Competing with Nuance DAX (covered), M*Modal, and Solventum for clinical documentation and CDI market
  • Technical platform primarily for developers and researchers
  • Inference API quality varies for very large or complex models
  • Navigation complexity increases with scale of the platform
Details

Technical & deployment info

Key facts about model providers, platforms, and team support.

Model Provider

Regard

Platforms

Web, EHR integration

Deployment

SaaS

Integrations

Epic, Cerner, API

Team Collaboration

No

Launch Year

2023

Trust

Security & privacy

Compliance signals and data-handling notes as reported by the vendor.

HIPAA compliant. SOC 2 Type II. ISO 27001. Enterprise data handling agreements.

Patient clinical data processed under HIPAA with healthcare privacy protections. Clinical AI analysis does not replace physician diagnosis — supports documentation completeness.

Reviews

What users are saying

Verified reviews from signed-in users, stored in the backend and averaged into this tool's rating.

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FAQ

Common questions about Regard AI

Demo available. Enterprise pricing — contact Regard's team.

Editorial Verdict

Should you use Regard AI?

Regard is the best AI clinical decision support platform for health systems wanting EHR-integrated diagnosis suggestion, CDI documentation support, and improved revenue integrity from complete clinical documentation.

Last verified July 24, 2026.

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