Regard
Contact for pricing
Overview
Regard is an AI-powered clinical intelligence platform designed to assist physicians in analyzing patient data, suggesting diagnoses, and generating clinical documentation. It is primarily intended for hospitalists and inpatient physicians, with an expanding focus to include specialties like cardiology and surgery.
- What it does: Regard reviews 100% of the electronic health record (EHR) data, including unstructured clinical data, to identify patterns, surface relevant insights, and recommend potential acute and chronic diagnoses. It also automates the generation of clinical notes, creating draft documentation that incorporates diagnostic insights and clinical context.
- Who it is for: The tool is best suited for hospitalists and inpatient physicians within hospital and health system settings, particularly those using Epic EHR. It is not designed for ambulatory care, outpatient practices, or mental health documentation.
- How it fits a clinical or practice workflow: Regard acts as an AI co-pilot, integrating directly with existing EHR systems. It provides real-time diagnostic recommendations and generates draft notes before patient encounters, aiming to streamline administrative tasks and support clinical decision-making at the point of care. The platform aims to reduce the time physicians spend on chart review and documentation.
- Notable capabilities: Regard utilizes generative AI to suggest diagnoses and create clinical notes. It can identify conditions that might be missed during documentation and provides evidence-based diagnostic recommendations. The platform has expanded to combine chart data with patient-physician conversations to generate more comprehensive draft notes. Regard also integrates with Microsoft Dragon Copilot.
Reviewed by Pouyan Golshani, MD — Interventional Radiologist
Key Features
- EHR data analysis
- Diagnostic suggestions
- Missing order identification
- Critical condition flagging
- Clinical workflow optimization
- Documentation assistance
- Real-time insights
- Burnout reduction
Use Cases
- Assisting with complex diagnoses
- Improving documentation efficiency
- Identifying at-risk patients
- Streamlining patient workups
- Reducing physician administrative burden
- Enhancing clinical decision-making
Details
| Category | Clinical Decision Support & Reference, Documentation & Scribing, Population Health Analytics |
| Pricing | Contact for pricing — Demo-based custom pricing. |
| Deployment | Integrates directly with major EHRs (Epic, Cerner) within the hospital's existing security perimeter. |
| Mobile App | Yes |
| Training | Unknown |
| Target Size | Hospitals and healthcare systems, inpatient settings with high patient volumes. |
| Compliance | |
| BAA Available | Yes AI-estimated |
| HIPAA Compliant | Yes AI-estimated |
| FDA Status | Unknown AI-estimated — unknown |
| SOC 2 | Yes AI-estimated |
| Integrations | |
| EHR | Not specified |
| Specialties | Cardiology, Internal Medicine, Surgery |
Social Proof
| Customers | Over 150 hospitals. |
Support & Reliability
| Training Provided | Unknown |
Ratings & Reviews
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Press & Coverage
Regard: AI
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 provide diagnostic insights to nearly all admitted patients in a hospital setting. This builds on their existing support for hospitalists and recent collaborations with Cedars-Sinai and Microsoft Dragon Copilot.
2026-03
Regard: AI
Regard to Showcase Partnership with Microsoft Dragon Copilot at HIMSS 2026
Regard announced it would showcase its partnership with Microsoft Dragon Copilot at HIMSS 2026, highlighting the integration of its AI platform into clinical workflows to help clinicians with diagnoses and documentation. This collaboration aims to scale Regard's AI insights across patient records and reduce clinician burnout.
2026-03
Newsweek
KPMG finds sophisticated AI use is still rare
Newsweek reported on a KPMG finding that sophisticated AI use remains rare, in an article that also mentions Regard in the news section of their website. This article highlights the broader context of AI adoption in healthcare.
2026-08
Healthcare IT News
New AI risks: 'Cognitive spoofing' and fake expertise
Healthcare IT News published an article discussing new AI risks, including 'cognitive spoofing' and fake expertise, with Regard being mentioned in the context of recent news and media coverage. The article delves into the challenges and potential pitfalls of advanced AI in healthcare.
2026-07
Fierce Healthcare
Regard upgrades AI platform to combine EHR chart data with physician-patient conversation
Regard upgraded its AI platform to combine EHR chart data with patient-physician conversations, aiming to improve diagnostic accuracy at the bedside. This new 'proactive documentation' capability, which includes an AI agent named Max, generates draft notes before patient encounters and integrates ambient dictation.
2025-07
Regard: AI
Regard Launches The First Platform To Combine Chart Data With Patient-Physician Conversations To Recommend Diagnoses
Regard unveiled a new platform that combines all data in the patient chart with data from patient conversations to surface diagnostic insights and generate draft notes. This platform introduces Max, an AI agent, to support clinicians in real-time with answering questions and summarizing encounters.
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 and invest in large language model research. The company's technology helps diagnose medical conditions and streamlines clinical documentation, having surfaced over three million diagnoses and generated significant incremental revenue for health system partners.
2024-07
The ASCO Post
FDA Seeks Public Input Relating to Regulatory Considerations for Generative AIu2013Enabled Medical Devices
The FDA released a discussion paper seeking public input on regulating generative AI-enabled medical devices, focusing on risk assessment, premarket evaluation, and postmarket monitoring. This initiative reflects the FDA's commitment to safely advancing AI innovation in healthcare.
2026-08
Videos
Product demos, reviews, and walkthroughs for Regard.
Regard - Ride It (Official Video)
Dj Regard Official
Frequently Asked Questions
Regard is designed to integrate natively with existing hospital EHR workflows, particularly Epic, allowing clinicians to utilize AI-generated insights without disrupting their core clinical systems. It reviews patient charts, identifies relevant information, and prepares documentation before the clinician even starts writing, fitting naturally into existing hospital workflows.
Regard is primarily designed for hospitals and enterprise health systems, focusing on inpatient settings and medical diagnosis capture. It is not intended for ambulatory care, therapy notes, mental health documentation, or for solo practitioners and small practices. Additionally, Regard does not provide public pricing, requiring a direct sales conversation for cost information.
Regard is built for healthcare environments and supports HIPAA-compliant workflows, along with enterprise security. The platform is designed to operate within the secure environment of the hospital's existing EHR and is SOC 2 Type II certified.
Several alternatives to Regard exist, including Abridge, Nuance DAX Copilot, Suki AI, Nabla, and Ambience Healthcare. Other clinical decision support tools like UpToDate and Glass Health also offer different approaches, with some focusing on reference content and others on ambient scribing and AI-powered differential diagnoses.
Regard does not offer public pricing; costs are determined through custom pricing models and require direct contact with their sales team. There are no published tiers or self-serve plans available, as it is an enterprise-only product built for hospital systems.
Regard analyzes 100% of patient chart data to recommend diagnoses and generate documentation at the point of care, helping to catch missed diagnoses and improve diagnostic specificity. It also automates administrative tasks like writing clinical notes, which can save physicians a significant amount of documentation time.
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| Last Verified: 2026-08-31 | First Added: 2026-08-30





