Regard
Claimed
Regard
Regard is an AI-driven tool designed to assist clinicians in analyzing patient data more efficiently. It integrates with electronic medical records (EMR) to extract insights from unstructured clinical data, suggest diagnoses, and generate clinical notes. This "medical co-pilot" helps healthcare providers make informed decisions and reduces documentation time.
Product Overview
Security and Compliance Certifications: SOC 2 Type 2, HIPAA
Regard is an AI-driven tool designed to assist clinicians in analyzing patient data more efficiently. It integrates with electronic medical records (EMR) to extract insights from unstructured clinical data, suggest diagnoses, and generate clinical notes. This "medical co-pilot" helps healthcare providers make informed decisions and reduces documentation time. Key functionalities include automating administrative tasks, providing diagnostic support, and enhancing clinical practice by making patient information more accessible and actionable within the EMR system.
Customers Served
Categories
Company Info
HQ Location
Los Angeles, CA
Founded
2017
Headcount
11-50
Total Funding
$20.4M
Latest Round
Series A
Latest Round
06/29/2022
Company Socials
Vendor’s Notes
Core Differentiators
Regard leverages LLMs and deterministic models to combine highly flexible outputs with verifiable diagnostic recommendations. These tools recommend both acute & chronic diagnoses along with supporting evidence. Combining deterministic & probabilistic models enables a full audit trail into recommendations that can be lacking with other LLM-only approaches. Their goal is to enable proactive documentation enabling clinicians to have "one and done" notes.
Demos
Customers
10
Verified customers
Type
0
2
4
6
8
10
Hospitals / Health System (10)
Provider Headcount
0
2
4
6
1-100 (1)
2001-5000 (2)
5001+ (6)
Showcased Customers
See all (10)Integrations
See all (1)Ambience Healthcare
Claimed
Ambience Healthcare
Company Info
Founded: 2020
Headcount: 11-50
Customers
Verified Customers: 12
Customers Served: Digital Health Provider, Ambulatory Practice, Hospital / Health System
Product Overview
4 ReviewsSecurity and Compliance Certifications: HIPAA
Ambience Healthcare offers a suite of AI-driven tools designed to enhance clinical documentation and workflow. AutoScribe serves as an AI medical scribe that generates comprehensive documentation during patient visits across various specialties. Other tools include AutoCDI for real-time coding and compliance, AutoAVS for sending patients personalized after-visit summaries to reduce in-basket messages, and AutoRefer for managing specialist referrals. These solutions integrate with existing EHR systems and support multi-lingual environments and complex workflows.
Suki
Claimed
Suki Assistant
Company Info
Founded: 2017
Headcount: 51-200
Customers
Verified Customers: 14
Customers Served: Digital Health Provider, Ambulatory Practice, Hospital / Health System
Product Overview
1 ReviewsSecurity and Compliance Certifications: SOC 2 Type 2, HIPAA
Suki Assistant is an AI-powered clinical assistant designed to help healthcare providers with tasks such as documentation, coding, patient summaries, and clinical Q&A. The assistant includes features like pre-charting, summarizing lab results, and answering both patient-specific and general medical questions, such as drug interactions. Suki employs a hybrid AI strategy, leveraging its own speech recognition and intent extraction technology while using different LLMs for specific tasks.
Other Categories
Abstractive Health
Claimed
Abstractive Health
Company Info
Founded: 2022
Headcount: 1-10
Customers
Customers Served: Digital Health Provider, Ambulatory Practice, Hospital / Health System
Product Overview
Security and Compliance Certifications: SOC 2 Type 2, HIPAA
Abstractive Health is an AI physician assistant platform that uses NLP and machine learning to summarize patient data, improve medical documentation for billing, and highlight diagnoses and follow ups. Additionally, Abstractive offers an on-ramp API for Carequality.
Other Categories