Regard

Regard

AI-powered clinical intelligence for inpatient EHR workflows

77/100Safe BetPaidPaid

Regard is a focused clinical intelligence tool for hospitals and health systems deeply integrated with EHRs to support inpatient care. Its automated chart review and missed-diagnosis detection can reduce burnout and improve outcomes, but its value depends on robust EHR connectivity and IT support. With only custom enterprise pricing and no self-serve tier, it's best for large institutions, not smaller practices. Compared to alternatives like Viz.ai or Epic's native CDS, Regard offers more comprehensive automated chart review but lacks multi-specialty flexibility.

Verified 11h ago · liveness 77/100 · cite: rightaichoice.com/tools/regard

Best for
  • Hospitals and health systems seeking to reduce clinician burnout
  • Providers who need real-time clinical insights from EHR data
  • Care teams focused on early risk detection and intervention
  • Inpatient documentation and coding teams
Not ideal for
  • Clinics with limited or non-integrated EHR systems
  • Solo practitioners with low patient volume
  • Organizations without IT support for API setup
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AdvancedSetup requires IT integration with existing EHR systems; typical deployment timeline ranges from 2-6 months depending on data complexity and number of facilities.Web · APIAPI available3.5k viewsVerified 11h ago
Pricing
Paid
Paid2 plans2 hidden costs
Learning curve
Advanced
Setup requires IT integration with existing EHR systems; typical deployment timeline ranges from 2-6 months depending on data complexity and number of facilities.
Runs on
WebAPI
API available
Who it's for
HospitalistClinical documentation specialistHealth system administrator
Live sentiment
Is Regard actually worth it?

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Skip it if

Skip Regard if you are a small clinic, solo practitioner, or lack dedicated IT support for deep EHR integration.

The 30-second take
Biggest gripe

Custom enterprise pricing is opaque and may include setup fees, annual contracts, or volume minimums.

Price reality

Regard's custom pricing targets large hospitals and health systems; there is no self-serve or per-physician tier. Compared to Viz.ai or Epic's native CDS, Regard offers more comprehensive automated chart review but may be more expensive to deploy and maintain.

In short

Regard — AI-powered clinical intelligence for inpatient EHR workflows. Best for Hospitals and health systems seeking to reduce clinician burnout, Providers who need real-time clinical insights from EHR data, Care teams focused on early risk detection and intervention. Paid pricing.

Viability Score

77/100
Safe Bet

How likely is Regard to still be operational in 12 months? Based on 4 signals — momentum (how recently it shipped), wrapper dependency, revenue model, and web presence.

momentum
55
funding runway
80
website health
90
wrapper dependency
100

Last calculated: July 2026

How we score →

Key Features

  • Automated chart review
  • Missed diagnosis detection
  • Risk stratification
  • Clinical decision support
  • Trend analysis
  • Alert generation
  • EHR integration
  • Documentation assistance
  • Patient data aggregation
  • Evidence-based suggestions
  • Multi-facility deployment
  • Custom condition configuration
  • Real-time patient data analysis

About Regard

PaidAdvancedAPI availableWeb · API

Regard is an AI-driven clinical intelligence platform that integrates with hospital EHR systems to automatically perform chart review, flag missed diagnoses, surface risk factors, and suggest evidence-based interventions. Designed for inpatient settings, it reduces clinician burnout by streamlining documentation and delivering real-time insights at the point of care. Regard acts as a co-pilot to improve diagnostic accuracy and patient outcomes, not a replacement for physicians. It requires hospital-wide EHR integration and offers custom pricing for hospitals and health systems, with multi-facility deployment and analytics capabilities. The platform is best suited for large institutions with dedicated IT support, not small clinics or solo practitioners.

Behind the Verdict

Regard targets a specific pain point: inpatient clinical documentation and diagnostic oversight. Its strength lies in automated chart review and real-time risk detection, which can reduce clinician burnout and improve accuracy. The platform requires deep EHR integration, meaning its effectiveness scales with the quality of data integration. For large hospitals with robust IT teams, this can be transformative. However, limitations include no self-serve or per-physician pricing, no publicly listed integrations, and an exclusive focus on inpatient settings. Outpatient and specialty clinics (e.g., radiology, pathology) will find it unsuitable. The lack of published pricing tiers and integrations may make evaluation difficult for smaller institutions. Overall, Regard is a solid choice for enterprise inpatient care teams but is overkill for smaller practices.

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Real-world workflow fit

Concrete scenarios for the personas Regard actually fits — and what changes day-one when you adopt it.

Hospitalist

Morning rounds chart review

Outcome: Regard automatically summarizes overnight patient data, flags potential missed diagnoses, and suggests evidence-based interventions, saving 20-30 minutes per day.

Clinical documentation specialist

Coding and billing review

Outcome: Regard identifies undocumented conditions and missing documentation, ensuring accurate billing and reducing claim denials.

Health system administrator

Multi-facility deployment

Outcome: Regard provides analytics across facilities, standardizing diagnostic review and risk assessment, and improving population health management.

Use Cases

  • Hospitalist reviews a patient chart and Regard flags a potential missed pulmonary embolism.
  • Clinical documentation team uses Regard to ensure all conditions are recorded for billing and coding.
  • Health system deploys Regard across multiple facilities to standardize diagnostic review and risk assessment.
  • Nurse and physician use Regard alerts to prioritize patients with deteriorating vital signs.

Limitations

Currently limited to inpatient hospital settings; requires hospital-wide EHR integration; no self-serve or per-physician pricing; custom pricing only; no publicly listed integrations; may not support outpatient or ambulatory workflows.

as of 2026-06-29

12-month cost

Project the real annual outlay, including the implied monthly cost when only an annual tier is published.

Annual total
Contact sales for a quote
Effective monthly

Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.

Plans compared

For each published Regard tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.

Hospital

Custom

Ideal for

Single hospitals with 100+ beds looking to reduce clinician burnout and improve diagnostic accuracy

What this tier adds

Starting tier with AI chart review, missed diagnosis detection, and EHR integration; custom pricing.

Health System

Custom

Ideal for

Multi-facility health systems needing standardized analytics, multi-facility deployment, and custom condition configuration

What this tier adds

Adds multi-facility deployment, analytics dashboard, and custom condition configuration compared to Hospital tier.

Hidden costs & gotchas

What the public pricing page doesn't put in bold. Captured from pricing-page footnotes, contract terms, and recurring complaints.

  • Custom enterprise pricing is opaque and may include setup fees, annual contracts, or volume minimums.
  • Integration may require IT resources and ongoing maintenance costs not included in the subscription.

Where the pricing makes sense

The company stage and team size where Regard's pricing actually pencils out — and where peers do it cheaper.

Regard's custom pricing targets large hospitals and health systems; there is no self-serve or per-physician tier. Compared to Viz.ai or Epic's native CDS, Regard offers more comprehensive automated chart review but may be more expensive to deploy and maintain.

Setup time & first value

How long it actually takes to get something useful out of Regard — broken out by persona, not the marketing-page minute.

Setup requires IT integration with existing EHR systems; typical deployment timeline ranges from 2-6 months depending on data complexity and number of facilities.

Resources & Guides

Tools that pair well with Regard

Common stack mates teams adopt alongside Regard, with the specific reason each pairing earns its keep.

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