Regard
AI clinical intelligence for inpatient EHR workflows
Regard is a smart buy for hospitals and health systems that have the IT muscle to integrate it. It shines at automating chart review and catching missed diagnoses, which directly tackles burnout and diagnostic error. But if you’re a small clinic or lack EHR integration support, you’ll want to pass—it’s a heavy lift without the right infrastructure.
Verified 9d ago · liveness 65/100 · cite: rightaichoice.com/tools/regard
- 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
- 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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Skip Regard if you’re a small clinic, solo practitioner, or organization without dedicated IT support for EHR integration—it requires hospital-wide deployment and custom pricing that only makes sense for large inpatient settings.
Custom pricing means you’ll need to negotiate a contract—there’s no published per-physician or per-bed rate, so budget for sales engineering and procurement time.
Regard’s custom enterprise pricing fits large hospitals and health systems with the IT budget to match; it’s not a cost-effective option for smaller clinics. Compared to native Epic decision support (included in your subscription), Regard adds an extra layer, but you’re paying for specialized automation that may be worth it at scale.
In short
Regard — AI 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
How well maintained and how widely used is Regard? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: September 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
Regard is an AI-driven clinical intelligence platform built for hospitals and health systems. It plugs directly into hospital EHR systems to continuously review charts, surface missed diagnoses, flag risk factors, and suggest evidence-based interventions. Rather than replacing clinicians, Regard acts as an inpatient co-pilot—delivering real-time insights at the point of care so physicians can focus on patients instead of drowning in documentation. Designed to reduce clinician burnout, it streamlines chart review and documentation workflows across multi-facility deployments. The platform automates chart review and documentation assistance, which cuts down the manual time clinicians spend scrolling through records. It also generates alerts and trend analysis, helping care teams identify patients at risk earlier and intervene sooner. Regard’s clinical decision support provides evidence-based suggestions, but it’s customizable—hospitals can configure the conditions they want tracked, ensuring the insights match their specific patient populations. Because Regard integrates with existing EHR systems and requires hospital-wide deployment, it’s built for large institutions with dedicated IT support. It’s not a plug-and-play tool for small clinics; it thrives where there’s a robust technical infrastructure and a willingness to embed AI into daily clinical workflows. The platform’s ability to aggregate patient data in real time makes it suited for inpatient settings where speed and accuracy matter most. Compared to alternatives like Viz.ai or native Epic decision support, Regard goes deeper on automated chart review and missed-diagnosis detection, but it’s less flexible across specialties. It’s a specialized tool for hospitals that want comprehensive inpatient intelligence, not a general-purpose analytics platform. For health systems scaling AI across facilities, Regard offers a cohesive approach to reducing diagnostic errors and improving outcomes.
Behind the Verdict
Regard positions itself as an inpatient co-pilot, and that’s exactly what it feels like. For hospitals drowning in chart review and documentation, the platform’s core value is real: it continuously scans EHR data to flag missed diagnoses, stratify risk, and suggest evidence-based interventions. That’s not a gimmick—it’s a concrete workload shift that can meaningfully reduce the time clinicians spend on low-value scrolling. Strengths: The automation of chart review is the standout. Instead of a physician manually pulling up labs, vitals, and notes, Regard aggregates and interprets that data, surfacing what matters. The missed-diagnosis detection is a direct shot at diagnostic error, which is a leading cause of patient harm. And because it’s configurable, hospitals can fine-tune which conditions to track, so the alerts aren’t noise. Documentation assistance also helps with coding and billing—an often-overlooked win. Weaknesses: This is not a plug-and-play tool. It requires hospital-wide EHR integration, likely with Epic or Cerner, and that demands dedicated IT support. There’s no self-serve or per-physician pricing—everything is custom, which means you’re committing to a serious procurement process. The current scope is inpatient-only, so if you have outpatient or ambulatory needs, you’ll need to look elsewhere. And while it integrates with major EHRs, the specifics aren’t publicly listed, so you’ll need to vet compatibility upfront. Where it fits: Large hospitals and health systems with the infrastructure and appetite for AI-driven clinical decision support. If you have an Epic deployment and a team that can manage the integration, Regard can become a genuine co-pilot. Where it doesn’t: Small clinics, solo practitioners, or organizations without IT support. If you’re not ready to commit to an enterprise-grade integration, keep looking.
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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.
During morning rounds, a hospitalist opens a patient chart and Regard flags a potential missed pulmonary embolism, prompting an immediate CTA workup.
Outcome: The patient is treated sooner, avoiding a potentially life-threatening complication.
A documentation specialist uses Regard’s automated chart review to ensure all conditions are captured for billing.
Outcome: Coding accuracy improves, reducing denials and boosting reimbursement.
An IT lead oversees a multi-facility deployment of Regard across five hospitals.
Outcome: Diagnostic review is standardized across sites, and the platform’s analytics uncover trends that inform quality improvement.
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 2026-08-29
Verification history
We have re-verified Regard 19 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-checked, vendor evidence unchanged
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-checked, vendor evidence unchanged
- — re-checked, vendor evidence unchanged
- — re-checked, vendor evidence unchanged
- — re-checked, vendor evidence unchanged
Showing the 6 most recent of 19 verification passes.
Free to cite with attribution — this page re-verifies continuously.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
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
A single hospital facility that wants automated chart review and missed-diagnosis detection with custom configuration for its specific patient population.
What this tier adds
Starting tier—includes EHR integration, real-time alerts, and custom condition configuration, but no multi-facility features.
Health System
Custom
Ideal for
A health system spanning multiple hospitals that needs standardized diagnostic review, trend analytics, and evidence-based decision support across facilities.
What this tier adds
Adds multi-facility deployment, trend analytics, and documentation assistance, making it the comprehensive package.
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 enterprise pricing fits large hospitals and health systems with the IT budget to match; it’s not a cost-effective option for smaller clinics. Compared to native Epic decision support (included in your subscription), Regard adds an extra layer, but you’re paying for specialized automation that may be worth it at scale.
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 for Regard is a major project: expect weeks to months for EHR integration, data mapping, and configuration with your IT team, plus clinician training. Once live, the first value is immediate—alerts and chart reviews begin within the first week of use.
Switching to or from Regard
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From Epic decision support: Regard provides deeper automated chart review, but you’ll need to set up a parallel integration to avoid double-flagging.
- ↗To Viz.ai: Focused on specific conditions like stroke, may be a better fit if you need specialized workflows rather than general inpatient intelligence.
Resources & Guides
Tutorials & Learning
Official links
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