Carta Healthcare secured $20M in Series B funding led by Paramark Ventures with support from investors like Frist Cressey Ventures and the American College of Cardiology. The AI-powered clinical data company will use the capital to scale operations, improve healthcare data abstraction, and reduce clinician administrative burden for health systems.
Carta Healthcare closed a $20 M Series B round to expand its AI-powered clinical data tech used by ~245 hospitals in 18 health systems. The funding aims to help scale sales, grow its customer base, and reduce clinicians’ administrative burden by automating data abstraction and insights.
Carta Healthcare raised $20 M in a Series B round to expand its AI-driven clinical data solutions, using the funding to grow its platform and support broader deployment in hospitals to improve clinical data abstraction and insights for healthcare systems.
Carta Healthcare, an AI-driven Portland health tech startup, has raised about $17.5 M and grown to 130+ employees as it prepares another funding round, highlighting ongoing investor interest and expansion in its clinical data-focused solutions.
Carta Healthcare’s AI-assisted data platform Atlas is now a National Cardiovascular Data Registry (NCDR)-certified software vendor for the American College of Cardiology’s ACC AFib Ablation Registry, enabling seamless, compliant submission of clinical data from EHRs to the registry and improving efficiency and accuracy in data capture.
Carta Healthcare reported four-fold year-over-year growth driven by adoption of its AI-assisted clinical data abstraction tool, Atlas, expanding its partner base to about 150 hospitals across 20 health systems. The company also added key leaders to its team, including a new CFO and board member, to support continued expansion.
Carta Healthcare raised $17.3M in Series A funding led by Storm Ventures to scale its AI-powered clinical data abstraction platform. The company plans to expand its team, grow hospital partnerships, and accelerate adoption of technology that improves healthcare data accuracy and efficiency.
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