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Carta Healthcare
Carta Healthcare
Atlas by Carta Healthcare uses AI to automate the abstraction of clinical data from medical records for registries. This tool combines AI with human expertise to streamline data extraction, allowing healthcare providers to focus more on patient care. Atlas supports a variety of registries and ensures data quality through a verification process.
Product Overview
Security and Compliance Certifications: SOC 2 Type 2, HIPAA
Atlas by Carta Healthcare uses AI to automate the abstraction of clinical data from medical records for registries. This tool combines AI with human expertise to streamline data extraction, allowing healthcare providers to focus more on patient care. Atlas supports a variety of registries and ensures data quality through a verification process.
Customers Served
Categories
Company Info
HQ Location
San Francisco, CA
Founded
2017
Headcount
51-200
Total Funding
$42M
Latest Round
Series B
Latest Round
06/08/2023
Company Socials
Customers
3
Verified customers
Type
0
1
2
3
Hospitals / Health System (3)
Provider Headcount
0
1
101-500 (1)
5001+ (1)
Showcased Customers
See all (3)Autonomize AI
Claimed
Autonomize AI Medical Chart Review Copilot
Company Info
Founded: 2022
Headcount: 11-50
Customers
Customers Served: Digital Health Provider, Hospital / Health System, Ambulatory Practice
Product Overview
Security and Compliance Certifications: SOC 2 Type 2, HIPAA
AutonomizeAI's Medical Chart Review Copilot streamlines chart review by transforming patient data into better structured, searchable information. It consolidates data from multiple sources and formats, allowing healthcare professionals to efficiently summarize and analyze patient records.
Dyania Health
Dyania Health
Company Info
Founded: 2019
Customers
Customers Served: Hospital / Health System, Ambulatory Practice
Product Overview
Security and Compliance Certifications: HITRUST CSF, HIPAA, GDPR
Dyania Health's Synapsis AI is designed to automate the manual review of electronic medical records (EMRs). It processes EMRs in 0.5 seconds and is used by healthcare systems to identify critical patient data, support clinical trials, and enhance patient care, especially for clinical data abstraction and submitting information to clinical registries.
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