Products

Regard
Regard
Clinical Decision Support & Reference
Regard is an AI co-pilot that analyzes EHR data to provide actionable insights, aiming to reduce physician burnout and improve diagnostic accuracy.

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About Regard

Regard is a healthcare AI company that aims to enhance the efficiency of medical practice through artificial intelligence and machine learning. Their core offering, encapsulated by the slogan “AI-powered diagnosis and documentation,” focuses on addressing the “Clinical Insights Gap” – the significant disconnect between the vast amount of patient data available in Electronic Health Records (EHRs) and the actionable insights physicians can readily utilize at the point of care.

The company’s flagship product, the Proactive Documentation solution, integrates directly with existing EHR systems (such as Epic and Cerner) to analyze comprehensive patient data. This AI-driven platform reviews 100% of the patient’s medical record to propose diagnoses, reveal essential clinical context, and draft medical notes. By automating documentation and providing evidence-backed diagnostic recommendations, Regard’s technology aims to optimize clinical workflows, improve diagnostic accuracy, reduce physician burnout, and enhance patient safety and outcomes.

Focus Areas

AI-powered diagnosis clinical documentation EHR data analysis clinical workflow optimization patient safety hospital revenue enhancement machine learning health informatics

Business Intelligence

Key InvestorsOak HC/FT, Cedars-Sinai Health Ventures, TenOneTen Ventures, Calibrate Ventures, Techstars, Foundry Group, Susa Ventures, Brook Byers of Byers Capital, Drew Houston
PartnershipsBanner Health, Sentara Health, WakeMed Health & Hospitals, Microsoft Dragon Copilot, OpenAI
TechnologyAI-powered platform integrated with Electronic Health Record (EHR) systems, proprietary diagnostic engine, leverages large language models (LLMs) including OpenAI's GPT-4
FDA Clearancesunknown cleared products (estimated)

What Physicians Need to Know

AI-Powered Diagnosis
Regard's platform analyzes 100% of patient EHR data, including unstructured clinical data, to suggest both acute and chronic diagnoses with supporting evidence. It runs over 200 clinical algorithms daily on each patient to identify potential missed diagnoses.
Clinical Documentation Automation
Regard acts as an AI co-pilot that automates clinical documentation by generating near-complete draft notes in the physician's preferred writing style *before* the patient encounter. This 'proactive documentation' combines chart data with patient-physician conversation data.
EHR Data Analysis & Insights
The platform synthesizes vast quantities of structured and unstructured data from EHRs, labs, imaging, and prior visits to surface relevant insights and identify potential safety concerns. This helps bridge the 'clinical insights gap' where physicians typically only review a small percentage of available patient data.
Clinical Workflow Optimization
By integrating directly into existing EHR systems and generating documentation proactively, Regard streamlines administrative tasks, reduces documentation time, and allows healthcare professionals to focus more on patient care.
Patient Safety & Quality of Care
Regard enhances patient safety by identifying missed diagnoses and surfacing critical insights from patient medical history, leading to more informed decisions and improved quality scores.
Hospital Revenue Enhancement
The platform improves diagnostic specificity and ensures complete and accurate documentation, which can lead to better coding and billing, reduced denials, and increased appropriate reimbursements for health systems.
Machine Learning & Health Informatics
Regard leverages large language models (LLMs) and deterministic models to provide flexible outputs with verifiable diagnostic recommendations and a full audit trail. They also partner with companies like OpenAI for advanced AI capabilities.
Physician Tip

Regard acts as an AI co-pilot, providing a 'diagnosis-first' approach that ensures a complete clinical picture is available at the point of care. It reviews 100% of the patient's chart, surfacing insights and generating draft notes in your preferred style, saving significant time on documentation and reducing the risk of missed diagnoses. This allows you to focus more on direct patient interaction and complex decision-making, while also improving documentation quality for better coding and reimbursement.

Regard integrates directly and seamlessly with major Electronic Health Record (EHR) systems like Epic and Cerner, embedding its AI directly into existing physician workflows. They have also partnered with Microsoft Dragon Copilot, capturing and structuring clinical conversations in real-time and surfacing insights within the Dragon Copilot interface.

Products by Regard

1 product in the directory

Regard
Regard
Clinical Decision Support & Reference
Regard is an AI co-pilot that analyzes EHR data to provide actionable insights, aiming to reduce physician burnout and improve diagnostic accuracy.

What the Web Says

Regard (regard.ai) is an AI-powered clinical intelligence platform designed to address physician burnout and improve documentation accuracy in healthcare. It integrates with existing EHR systems to analyze patient data, recommend diagnoses, generate clinical notes, and identify missed documentation opportunities. The platform aims to enhance patient care, optimize coding and reimbursement, and reduce administrative burden for clinicians. Sentara Health, for example, scaled its use of Regard's AI across all 12 hospitals after a successful three-year pilot, citing patient safety wins and improved documentation.

Overall: Positive

Strengths

  • Reduces physician burnout and documentation time.
  • Improves documentation quality for coding and reimbursement.
  • Identifies clinically relevant information and prepares documentation proactively.
  • Integrates naturally into existing hospital workflows and EHR systems.
  • Enhances patient care by identifying missed diagnoses and potential safety issues.
  • Provides a strong return on investment (ROI) through better coding and documentation.

Limitations

  • Implementation requires planning and close collaboration with hospital IT teams due to its enterprise healthcare focus.
  • Limited public reviews on platforms like G2, Glassdoor, and Capterra specifically for regard.ai, making a comprehensive sentiment analysis challenging.
  • Some general concerns about AI scribes on Reddit mention slow feature additions and lack of flexibility in templates for complex cases (though not directly attributed to Regard).

Based on reviews from: AIFBA, Regard: AI-Powered Clinical Diagnosis & Documentation, Sentara Health Scales Its Use of Regard's AI Following Strong ROI & Clinician Adoption, Regard Reviews, Pricing, Features & Integrations - Elion, How Healthcare Firm Regard Uses Artificial Intelligence To Usher Medicine Into The Modern Age - Forbes, Regard3D Reviews 2026: Details, Pricing, & Features - G2, Regard3D Products | Read 1 Reviews on G2, Clover Assistant vs Merative, Viz.ai, Enlitic, Regard, Twill, Agent Virtual Assistant, OptumIQ, etc. : r/Healthcare_Anon - Reddit, This LA Based Health-Tech Startup 'Regard' Is Developing An Artificial Intelligence-Based System To Automate Documentation For Physicians : r/machinelearningnews - Reddit, I tried all the AI medical scribes so you don't have to - my honest review : r/FamilyMedicine, I tried a lot of AI medical scribes so you don't have to - my honest review : r/medicine - Reddit, What Are G2 Reviews, and How Do They Work? - Team4 Agency, Regie.ai Reviews 2026: Details, Pricing, & Features - G2, Does anyone have any experience with AI scribes? How good is it, really? Have we arrived at the future where I don't have to write my own notes, or is that still a way off? : r/FamilyMedicine, Beware of glassdoor - employers can find out who has posted these days - Reddit, Capterra: Find The Right Software, How effective is it to post a review on Glassdoor about unfair practices, and what should I include in the review? - Quora, Working at Glassdoor: 54 Reviews | Indeed.com, What is your review of G2 Crowd? - Quora, G2 Launches Conversational Software Review Experiences for an AI-First Era, Why do you review on G2?, How G2 Remains Committed to Authentic Reviews in an Age of AI, Capterra Reviews 2026: Details, Pricing, & Features - G2, Capterra & Software Advice: Worth the Hype? : r/b2bmarketing - Reddit, Schwab Jobs: Careers in Finance, Technology, and Service, Case Manager Utilization RN, 32/hr Day - Kaiser Permanente Careers, Business Director at Capital One - McLean, Intern and New Graduate Jobs - Leidos Careers, India | Synchrony Careers, Respiratory Clinical Program Manager - McKesson Careers

Last updated: 2026-08-31

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Press & Coverage

Regard: AI (Press Release)
Regard Expands Platform to New Specialties, Making Progress Toward Use Across All Admitted Patients
Regard announced the expansion of its AI-powered diagnosis and documentation platform into cardiology and surgical service lines, aiming to support nearly all admitted patients in a hospital setting. This move builds on their existing support for hospitalists and is a step towards deploying the platform across every inpatient specialty.
2026-03
Regard: AI (Press Release)
Regard to Showcase Partnership with Microsoft Dragon Copilot at HIMSS 2026
Regard announced its plans to showcase its partnership with Microsoft Dragon Copilot at HIMSS 2026, highlighting the integration of its AI platform to improve patient care and unlock revenue at scale.
2026-03
Newsweek
KPMG finds sophisticated AI use is still rare
Newsweek reported on a KPMG finding that sophisticated AI use remains uncommon, with Regard being mentioned in the context of AI in healthcare.
2026-08
Digital Journal
FDA seeks public input on regulating generative AI medical devices as healthcare enters a new era
The U.S. Food and Drug Administration (FDA) has opened a public consultation on regulating generative AI-enabled medical devices, seeking feedback on risk assessment, premarket review, and post-market monitoring. This initiative acknowledges the transformative potential and unique risks of GenAI in healthcare.
2026-08
Regard: AI (Press Release)
Regard Launches The First Platform To Combine Chart Data With Patient-Physician Conversations To Recommend Diagnoses
Regard unveiled a new AI-powered platform that combines patient chart data with patient-physician conversations to surface diagnostic insights and generate draft notes before an encounter. This platform also introduces Max, an AI agent that supports clinicians in real-time.
2025-07
Fierce Healthcare
Regard picks up $61M to build out AI-powered clinical insights, invest in research LLMs
Regard secured $61 million in Series B funding to expand its AI-powered clinical insights platform, invest in large language model research, and extend beyond inpatient facilities. The funding round was led by Oak HC/FT with participation from Cedars-Sinai Health Ventures and existing investors.
2024-07
dot.LA
Regard Raises $15M for AI-Powered Software That Help Doctors Diagnose Patients
Regard, formerly HealthTensor, raised $15.3 million in Series A funding to grow its team and customer base for its AI-driven software that assists physicians in accurately diagnosing patients. The investment was led by Calibrate Ventures and Foundry Group.
2022-07
Forbes
How Healthcare Firm Regard Uses Artificial Intelligence To Usher Medicine Into The Modern Age
Forbes highlighted how Regard is leveraging AI and machine learning to streamline clinical workflows, reduce physician burnout, and improve patient care by analyzing patient data, recommending diagnoses, and automating note-taking.
2023-01

Frequently Asked Questions

Regard utilizes AI and machine learning to analyze EHR data, identifying potential diagnoses and generating comprehensive clinical notes. This helps physicians streamline documentation, reduce diagnostic errors, and ensure all relevant patient information is captured accurately and efficiently.
Regard integrates directly with existing EHR systems to seamlessly access and analyze patient data. Its AI engine then provides insights that can be incorporated into clinical workflows, optimizing processes and improving decision-making without requiring significant changes to current systems.
Regard prioritizes patient safety and data security through robust encryption, access controls, and adherence to all relevant healthcare regulations, including HIPAA. The AI is designed to augment, not replace, physician judgment, adding an extra layer of safety.
Yes, Regard aims to enhance hospital revenue by improving the accuracy of diagnoses and documentation, which can lead to optimized billing and reduced claim denials. It also drives efficiency gains by automating aspects of clinical documentation and workflow, freeing up physician time.
Regard offers comprehensive support and training programs for both physicians and administrators to ensure a smooth onboarding and effective utilization of its platform. The implementation timeline can vary depending on the complexity of the existing EHR system and hospital size, but Regard works to minimize disruption.
Regard's pricing model is typically subscription-based, with variations that may depend on the scale of implementation and specific features required. They often offer different tiers or packages to accommodate the diverse needs and sizes of healthcare organizations.
Regard's AI models are continuously trained and validated on extensive datasets to ensure accuracy and reliability. While the AI provides powerful insights, human oversight remains crucial; the system is designed to support clinicians, not replace their professional judgment.

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