eCARTv5 Clinical Deterioration Suite (“eCART”) vs Regard

Similar category, different focus. These tools serve overlapping but distinct needs. Comparability 75/100 Comparability is an AI-graded 0–100 score of how directly these two tools compete — higher means a more apples-to-apples comparison.

AI Verdict

Tool A (eCARTv5) focuses specifically on predicting clinical deterioration (death or ICU transfer) in hospitalized adult patients, providing early warnings and guiding care with embedded clinical pathways. Tool B (Regard) is a broader AI co-pilot that analyzes EHR data for diagnostic suggestions, documentation assistance, and identifying missing orders, aiming to reduce physician burnout and improve overall diagnostic accuracy. While both offer clinical decision support and integrate with EHRs, their primary applications and key feature sets are distinct.

Choose eCARTv5 Clinical Deterioration Suite (“eCART”) if…

Choose eCARTv5 Clinical Deterioration Suite if your primary goal is to proactively identify and manage hospitalized adult patients at risk of clinical deterioration (death or ICU transfer). This FDA-cleared, AI-powered SaMD excels at continuous, real-time risk assessment using up to 97 EHR variables and guides care with embedded clinical pathways, aiming to minimize false alarms and clinician workload.

View eCARTv5 Clinical Deterioration Suite (“eCART”) →

Choose Regard if…

Choose Regard if your focus is on empowering physicians with an AI co-pilot to enhance diagnostic accuracy, optimize clinical workflows, and reduce burnout by analyzing comprehensive EHR data. Regard provides actionable insights, suggests diagnoses, identifies missing orders, and assists with documentation, making it ideal for improving overall clinical efficiency and patient care in high-volume inpatient settings.

View Regard →

Reviewed by Pouyan Golshani, MD — Interventional Radiologist

Quick Comparison

Feature eCARTv5 Clinical Deterioration Suite (“eCART”) Regard
Pricing Contact vendor for tailored quote. Contact for pricing
Deployment Cloud-based SaaS, integrated directly into Electronic Health Record (EHR) systems. Integrates directly with major EHRs (Epic, Cerner) within the hospital's existing security perimeter.
BAA Available Unknown Yes AI-estimated
FDA Status 1 AI-estimated Unknown
HIPAA Unknown Yes AI-estimated

Head-to-Head

AI-generated assessment across six dimensions based on each tool's documented features and compliance posture. Grounded in public data — not a substitute for hands-on evaluation.

Usability

Tie

Both tools emphasize seamless integration with existing EHR systems to minimize disruption and streamline workflows. AgileMD highlights an intuitive interface and customizable alerts, while Regard focuses on an AI co-pilot approach that works within the physician's existing workflow to reduce burnout and documentation time. Without direct user experience comparisons, it's difficult to definitively pick a winner here.

Clinical Value

eCARTv5 Clinical Deterioration Suite (“eCART”)

eCARTv5 has strong clinical validation, with a multicenter prospective study demonstrating its accuracy in predicting clinical deterioration (death or ICU transfer) and FDA 510(k) clearance. It analyzes up to 97 real-time variables and provides embedded clinical pathways for guidance. Regard focuses on diagnostic suggestions, identifying missed orders, and critical condition flagging, with reported success in increasing diagnostic specificity and reducing physician documentation time.

Pricing & Value

Tie

Both companies state that pricing is custom and requires contacting the vendor for a tailored quote. Neither provides publicly available pricing details, making a direct comparison of value difficult.

Enterprise Readiness

Regard

Regard has a larger reported customer base, serving over 150 hospitals, and has secured significant funding ($61 million in Series B). They also highlight enterprise-grade security, SOC 2 compliance, and partnerships with major EHRs like Epic and Cerner, along with a recent partnership with Microsoft Dragon Copilot for deeper integration. AgileMD also emphasizes seamless EHR integration and HIPAA/SOC-II compliance, but with less public information on the scale of their deployments.

Innovation

Regard

Regard has demonstrated a strong commitment to innovation by expanding its platform to combine EHR chart data with physician-patient conversations and leveraging OpenAI's GPT-4 for features like drafting clinical notes and intelligent autocomplete. This proactive documentation approach and use of large language models for real-time insights represent a cutting-edge application of AI in healthcare. AgileMD's eCARTv5 is also innovative with its advanced machine learning for deterioration prediction, but Regard's recent advancements with generative AI give it an edge in this dimension.

Support & Docs

Regard

Regard explicitly mentions 24/7 tier-1 support with a four-hour response SLA for critical issues, consultative workflow guidance, and self-service dashboards for performance monitoring. AgileMD mentions training resources (documentation, in-person, live online, videos, webinars) and support via email, phone, chat, FAQ, forum, help desk, knowledge base, and tickets, including 24/7 live support, but lacks specific SLAs.

Feature-by-Feature

Detail beyond the Quick Comparison summary. For pricing, deployment, BAA, FDA, and HIPAA see the Overview tab.

Feature eCARTv5 Clinical Deterioration Suite (“eCART”) Regard
Name eCARTv5 Clinical Deterioration Suite (u201ceCARTu201d) Regard
Company AgileMD Regard
Description FDA-cleared, AI-powered Software as a Medical Device (SaMD) that integrates with EHRs to continuously assess and predict the risk of clinical deterioration (death or ICU transfer) in hospitalized adult patients, guiding care with embedded clinical pathways. AI co-pilot that analyzes EHR data to provide actionable insights, aiming to reduce physician burnout and improve diagnostic accuracy.
Key Features AI-powered clinical deterioration prediction, Continuous patient risk assessment (death or ICU transfer), EHR integration with real-time data (up to 97 variables), Embedded clinical pathways for care guidance, Early warning system (alerts hours before critical illness), Risk stratification (eCART score and risk designation), Minimizes false alarms and clinician workload, Reporting and benchmarking capabilities EHR data analysis, Diagnostic suggestions, Missing order identification, Critical condition flagging, Clinical workflow optimization, Documentation assistance, Real-time insights, Burnout reduction
Specialties Critical Care, Emergency Medicine, Hospital Medicine Cardiology, Internal Medicine, Surgery

Videos

Demos, reviews, and walkthroughs featuring eCARTv5 Clinical Deterioration Suite (“eCART”) and Regard.

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Frequently Asked Questions

eCARTv5 integrates directly into EHR systems, analyzing up to 97 real-time variables like labs, vital signs, and nursing assessments to generate a risk score and guide clinicians to embedded clinical pathways. Regard also integrates directly with major EHRs like Epic and Cerner, operating within the hospital's existing security perimeter and appearing as an additional tab within the EHR, aiming to streamline workflows and reduce documentation time. Regard can also combine chart data with patient-physician conversation data to generate draft notes.
eCARTv5 is an all-cause clinical deterioration prediction tool, continuously assessing hospitalized adult patients for risk of death or ICU transfer, and is validated across diverse patient demographics and medical conditions such as sepsis, heart failure, and COPD. Regard acts as an AI co-pilot, analyzing EHR data to provide diagnostic suggestions, identify missing orders, and flag critical conditions across various specialties including Cardiology, Internal Medicine, and Surgery, with a focus on reducing physician burnout and improving diagnostic accuracy.
eCARTv5 has been validated in large multicenter studies with high accuracy, demonstrating an AUROC of 0.834 in retrospective validation for predicting ICU transfer or death within 24 hours, outperforming other early warning scores. Regard aims for high diagnostic accuracy, with reported 90%+ diagnosis accuracy validated against clinician review, and has surpassed 8 million diagnosis recommendations accepted by physicians.
eCARTv5 is designed to minimize false alarms and decrease clinician workload through its intuitive user interface and well-tested clinical workflow, suggesting a manageable learning curve. Regard aims to reduce physician burnout by streamlining administrative tasks and providing insights within the existing EHR workflow, and offers one-on-one training to clinical staff after initial training for physician champions.
Regard leverages both LLMs and deterministic models to provide verifiable diagnostic recommendations with supporting evidence, allowing for a full audit trail into its recommendations. For eCARTv5, while it uses a complex gradient-boosted machine learning model, explainable machine learning approaches are noted as needed to provide insights to clinicians regarding the variables driving an individual patient's risk of deterioration.
eCARTv5 has been validated across 21 hospitals in three health systems, indicating its suitability for multi-site deployment and consistent accuracy across diverse settings. Regard has been implemented in over 150 hospitals and is designed for seamless integration with major EHRs, with implementations averaging 30-60 days, and a strategic partnership with Microsoft Dragon Copilot to scale its solution faster.
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