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Regard

Researched

Regard is an AI-powered clinical diagnosis and documentation platform that reviews 100% of the EHR to recommend diagnoses, generate documentation at the point of care, and surface risk, quality, and care gaps across health system workflows.

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Homepage · captured Jul 23, 2026
At a glance

In one minute

Start here for the decision-making essentials: what Regard does, who it is for, how it is accessed, and the first-party sources behind this profile.

PricingCurrent signal

See official pricing

Platforms
One platform, every workflow
API accessNot public
FoundedNot disclosed by source
AvailabilityWeb / remote
LicenseProprietary

Best suited to

Source-backed fit
Health systems and physicians seeking proactive EHR-driven documentation Hospitalists and clinicians needing AI diagnostic support within their… Organizations focused on denial prevention, HCC capture, and revenue cycle… Health systems and physicians (customers include Sentara Health, a leading… Health systems Hospitalists and other clinicians
Decision support

Common questions and adoption checks

6 sourced answers

Short answers to the questions buyers and builders commonly ask about Regard. Each answer cites the shared ledger below, where every source is listed once.

01What does Regard say it can do?

Reviews 100% of the EHR to recommend diagnoses · Generates clinical documentation at the point of care · Diagnostic intelligence layer using proprietary, clinically validated algorithms to recomm · EHR data ingestion and mapping with deep data integration of millions of data points mappe

Regard reviews 100% of the EHR to recommend diagnoses and generate documentation at the point of care
Ledger citations[1] regard.com[4] regard.com/article/a-clinicians-guide-to-making-proactive-documentation-work[8] regard.com/privacy-policy[2] regard.com/press-media/regard-and-cedars-sinai-partner-to-improve-patient-outcomes-and-financial-sustainability
02Who is Regard intended for?

Health systems and physicians (customers include Sentara Health, a leading health system i · Health systems · Hospitalists and other clinicians · Deployed across 150+ hospitals and 20+ states

How leading health systems use Regard
Ledger citations[1] regard.com[4] regard.com/article/a-clinicians-guide-to-making-proactive-documentation-work[8] regard.com/privacy-policy[2] regard.com/press-media/regard-and-cedars-sinai-partner-to-improve-patient-outcomes-and-financial-sustainability
03What use cases does Regard describe?

Clinical Notes — AI-powered diagnostic support for generating complete clinical notes · Mid-Revenue Cycle — prevent denials and capture earned revenue · HCC Capture — surface risk and quality gaps across the population for accurate risk adjust · Screening — catch care gaps before it's too late to act

Clinical Notes AI-powered diagnostic support, built for accuracy
Ledger citations[1] regard.com[4] regard.com/article/a-clinicians-guide-to-making-proactive-documentation-work[7] regard.com/press-media/providers-lean-on-ai-startups-to-limit-challenge-insurance-denials[8] regard.com/privacy-policy
04What should teams verify before adopting Regard?

Some screening service lines (e.g., mitral regurgitation) are labeled as future/coming cap

Future Mitral regurgitation, to surface TEER and MitraClip candidates
Ledger citation[3] regard.com/solutions/screening
05What integrations does Regard document?

Integrates with electronic health records (EHR) by reviewing all EHR data. · Integrates with electronic health record (EHR) / electronic medical record (EMR) systems · Partnership with Microsoft Dragon Copilot showcased at HIMSS

reviews all data in the electronic health record
Ledger citations[7] regard.com/press-media/providers-lean-on-ai-startups-to-limit-challenge-insurance-denials[2] regard.com/press-media/regard-and-cedars-sinai-partner-to-improve-patient-outcomes-and-financial-sustainability[5] regard.com/resources/customers
06How can Regard be deployed or accessed?

Operates directly in the physician's workflow at the point of care. · Launched in more than 150 hospitals across 15 states since 2020 · Directly in the physician's workflow, at the point of care · Runs inside the EHR

directly in the physician's workflow, at the point of care
Ledger citations[7] regard.com/press-media/providers-lean-on-ai-startups-to-limit-challenge-insurance-denials[2] regard.com/press-media/regard-and-cedars-sinai-partner-to-improve-patient-outcomes-and-financial-sustainability[9] regard.com/press-media/top-digital-health-leaders-2025[3] regard.com/solutions/screening
Decision guide

Capabilities and operating fit

AI assistants

This profile connects the jobs Regard is described as handling with its delivery model, access options and the subjects used to match it to related products in this directory.

Common use cases

  • AI-powered Clinical Notes generation with diagnostic support
  • Mid-revenue cycle denial prevention and earned revenue capture
  • Population-level HCC risk adjustment and quality gap identification
  • Care gap screening across populations
  • EHR-wide diagnostic insight recommendation at the point of care
  • Clinical Notes — AI-powered diagnostic support for generating complete clinical notes

Access signals

Pricing model
See official pricing
API
Not publicly listed
Source links
17 recorded
Source-backed

Verified facts

Updated July 23, 2026

Each fact points to a recorded source, making it easy to distinguish verified product information from claims that need checking.

Official website

HTTP 200 verified twice

First-party description

Regard: AI-Powered Clinical Diagnosis & Documentation

Source-supported facts

Reviews 100% of the EHR to recommend diagnoses · Generates clinical documentation at the point of care · AI-powered clinical diagnosis and documentation platform

Capability

Reviews 100% of the EHR to recommend diagnoses

Capability

Generates clinical documentation at the point of care

Application type

AI-powered clinical diagnosis and documentation platform

Use case

Clinical Notes — AI-powered diagnostic support for generating complete clinical notes

Use case

Mid-Revenue Cycle — prevent denials and capture earned revenue

View 32 more verified facts
Use case

HCC Capture — surface risk and quality gaps across the population for accurate risk adjustment

Use case

Screening — catch care gaps before it's too late to act

Capability

Diagnostic intelligence layer using proprietary, clinically validated algorithms to recommend diagnoses with evidence

Capability

EHR data ingestion and mapping with deep data integration of millions of data points mapped to clinical concepts

Capability

On-demand impact analytics and reporting for adoption, impact, and opportunity

Audience

Health systems and physicians (customers include Sentara Health, a leading health system in Arizona, a North Carolina health system, and a regional health system in PA)

Benchmark

12,993,284 recommended diagnoses accepted by clinicians

Company

Regard

[4]regard.com/article/a-clinicians-guide-to-making-proactive-documentation-work
Capability

AI-powered diagnostic support

[4]regard.com/article/a-clinicians-guide-to-making-proactive-documentation-work
Use case

Clinical Notes generation

[4]regard.com/article/a-clinicians-guide-to-making-proactive-documentation-work
Use case

Mid-Revenue Cycle denial prevention and revenue capture

[4]regard.com/article/a-clinicians-guide-to-making-proactive-documentation-work
Use case

HCC risk and quality capture across populations

[4]regard.com/article/a-clinicians-guide-to-making-proactive-documentation-work
Use case

Care gap screening

[4]regard.com/article/a-clinicians-guide-to-making-proactive-documentation-work
Platform

Single platform spanning every clinical workflow

[4]regard.com/article/a-clinicians-guide-to-making-proactive-documentation-work
Audience

Health systems

[4]regard.com/article/a-clinicians-guide-to-making-proactive-documentation-work
Best for

Proactive clinical documentation in hospital workflows

[4]regard.com/article/a-clinicians-guide-to-making-proactive-documentation-work
Social

Annual customer summit (Regard Summit)

[4]regard.com/article/a-clinicians-guide-to-making-proactive-documentation-work
Company

Regard is the leader in AI-powered clinical diagnosis and documentation.

[7]regard.com/press-media/providers-lean-on-ai-startups-to-limit-challenge-insurance-denials
Deployment

Operates directly in the physician's workflow at the point of care.

[7]regard.com/press-media/providers-lean-on-ai-startups-to-limit-challenge-insurance-denials
Application type

Clinical Notes — AI-powered diagnostic support, built for accuracy.

[7]regard.com/press-media/providers-lean-on-ai-startups-to-limit-challenge-insurance-denials
Use case

Mid-Revenue Cycle — prevent denials and capture earned revenue.

[7]regard.com/press-media/providers-lean-on-ai-startups-to-limit-challenge-insurance-denials
Use case

HCC Capture — surface risk and quality gaps across the population.

[7]regard.com/press-media/providers-lean-on-ai-startups-to-limit-challenge-insurance-denials
Use case

Screening — catch care gaps while there is still time to act.

[7]regard.com/press-media/providers-lean-on-ai-startups-to-limit-challenge-insurance-denials
Integration

Integrates with electronic health records (EHR) by reviewing all EHR data.

[7]regard.com/press-media/providers-lean-on-ai-startups-to-limit-challenge-insurance-denials
Audit

Holds ONC Certification.

[7]regard.com/press-media/providers-lean-on-ai-startups-to-limit-challenge-insurance-denials
Company

Regard Solutions

[8]regard.com/privacy-policy
Application type

Unified healthcare workflow platform

[8]regard.com/privacy-policy
Capability

AI-powered diagnostic support for clinical notes

[8]regard.com/privacy-policy
Use case

Mid-revenue cycle denial prevention and revenue capture

[8]regard.com/privacy-policy
Use case

Population-level HCC risk and quality gap identification

[8]regard.com/privacy-policy
Use case

Care gap screening

[8]regard.com/privacy-policy
Audience

Health systems

[8]regard.com/privacy-policy
Practical capabilities

What it helps with

8 documented areas

A concise view of the jobs, capabilities and integrations described in the recorded product sources.

Use case

AI-powered Clinical Notes generation with diagnostic support

Use case

Mid-revenue cycle denial prevention and earned revenue capture

Use case

Population-level HCC risk adjustment and quality gap identification

Use case

Care gap screening across populations

Use case

EHR-wide diagnostic insight recommendation at the point of care

Use case

Clinical Notes — AI-powered diagnostic support for generating complete clinical notes

Use case

Mid-Revenue Cycle — prevent denials and capture earned revenue

Use case

HCC Capture — surface risk and quality gaps across the population for accurate risk adjust

Availability

Where it runs and where to get it

Source checked

Documented product formats, platforms and official distribution destinations. Availability can vary by region and plan.

Cost / license

See official pricing

Application types

AI-powered clinical diagnosis and documentation platformClinical Notes — AI-powered diagnostic support, built for accuracy.Unified healthcare workflow platformAI clinical insights platform built for health systemsClinical AI platform for health systemsClinical screening solutionClinical NotesMid-Revenue CycleHCC CaptureScreeningClinical documentation improvement / AI-assisted diagnostic support software for inpatient

Origin

Began relationship with Cedars-Sinai in 2017 through the Cedars-Sinai Accelerator program

Platforms

Single platform spanning every clinical workflowOne platform covering every workflow (Clinical Notes, Mid-Revenue Cycle, HCC Capture, ScreOne platform, every workflowOne unified platform spanning the full clinical and revenue cycle workflow (Clinical NotesRegard is positioned as a leading Clinical Insights platform
Implementation details

Adoption notes

DeploymentOperates directly in the physician's workflow at the point of care. · Launched in more than 150 hospitals across 15 states since 2020 · Directly in the physician's workflow, at the point of care · Runs inside the EHR
LicenseNot disclosed by source
Model supportAI-powered Proactive Documentation platform
Data controlONC Certification
Learning curveIntermediate
Primary use casesAI-powered Clinical Notes generation with diagnostic support, Mid-revenue cycle denial prevention and earned revenue capture, Population-level HCC risk adjustment and quality gap identification, Care gap screening across populations, EHR-wide diagnostic insight recommendation at the point of care, Clinical Notes — AI-powered diagnostic support for generating complete clinical notes, Mid-Revenue Cycle — prevent denials and capture earned revenue, HCC Capture — surface risk and quality gaps across the population for accurate risk adjust, Screening — catch care gaps before it's too late to act, Clinical Notes generation, Mid-Revenue Cycle denial prevention and revenue capture, HCC risk and quality capture across populations, Care gap screening, Mid-Revenue Cycle — prevent denials and capture earned revenue., HCC Capture — surface risk and quality gaps across the population., Screening — catch care gaps while there is still time to act.

What to verify before adopting

  • Some screening service lines (e.g., mitral regurgitation) are labeled as future/coming cap
Evolution and major updates

Regard timeline

A concise history of software releases and material product changes. Events appear only when a dated source supports what changed.

2 dated updates
Latest first · exact dates

Showing the newest updates and meaningful milestones. Open an entry for its summary and source.

  1. Release note

    HIMSS 2026 panel on transforming clinical workflows with AI

    Open details

    Regard participated in a HIMSS 2026 panel discussing how AI apps and agents are transforming clinical workflows.

    View source [11]
  2. Release note

    2025 Regard Summit

    Open details

    Regard hosted its annual customer summit, bringing together healthcare leaders to discuss clinical AI.

    View source [11]
Citation ledger

Recorded sources

18 unique pages

Facts, answers, structured details, milestones and primary resource links cite this shared ledger. Each external page appears once; release tags from the same GitHub project are grouped under one release history.

  1. 1regard.com 16 facts · 3 answers · Official site
  2. 2regard.com/press-media/regard-and-cedars-sinai-partner-to-improve-patient-outcomes-and-financial-sustainability 12 facts · 4 answers · Official site
  3. 3regard.com/solutions/screening 12 facts · 2 answers · Official site
  4. 4regard.com/article/a-clinicians-guide-to-making-proactive-documentation-work 10 facts · 3 answers · Documentation
  5. 5regard.com/resources/customers 12 facts · 1 answer · Official site
  6. 6regard.com/about-us 11 facts · Official site
  7. 7regard.com/press-media/providers-lean-on-ai-startups-to-limit-challenge-insurance-denials 8 facts · 3 answers · Official site
  8. 8regard.com/privacy-policy 8 facts · 3 answers · Security
  9. 9regard.com/press-media/top-digital-health-leaders-2025 8 facts · 1 answer · Official site
  10. 10regard.com/careers 7 facts · Official site
  11. 11regard.com/resources/blog 2 milestones
  12. 12regard.com/article/ai-and-proactive-documentation-key-takeaways-for-healthcare-leaders Documentation
  13. 13regard.com/article/ai-close-clinical-insights-gap-for-proactive-documentation Documentation
  14. 14regard.com/article/clinical-documentation-real-results-hfma-revenue-cycle-2026 Documentation
  15. 15regard.com/article/getting-documentation-right-the-first-time-beckers-webinar Documentation
  16. 16regard.com/article/how-the-largest-health-system-in-arizona-improved-documentation-quality Documentation
  17. 17regard.com/press-media/2-cedars-sinai-hospitals-to-roll-out-ai-driven-documentation-platform Documentation
  18. 18regard.com/press-media/why-retrospective-documentation-review-is-becoming-a-liability-4-takeaways Documentation
Research status120 substantive facts · 17 source pages · quality score 98/100