AI-assisted clinical data abstraction for hospitals and health systems
Carta Healthcare builds AI + clinician workflows to automate clinical data abstraction—work traditionally done manually by hospital staff. The tech stack (Python, Kubernetes, Temporal, PostgreSQL, DynamoDB) reflects a backend-heavy, asynchronous processing architecture suited to handling variable EHR data at scale. Hiring velocity is decelerating while healthcare roles dominate the department mix (8 of 16 open positions), and sourcing healthcare talent is a documented pain point—a typical constraint for vertical healthcare software competing for domain expertise.
Carta Healthcare provides clinical data management solutions for hospitals and health systems. The core product automates the extraction and standardization of clinical data from EHR systems through a combination of machine learning and expert clinician review. The company targets mid-to-large hospital networks seeking to reduce the operational cost and error rate of data abstraction work, which feeds downstream applications like patient registries, perioperative analytics, and quality reporting. Founded in 2017 and based in San Francisco, Carta operates as a privately held company with a lean, healthcare-focused team.
Python, Kubernetes, Docker, AWS, PostgreSQL, DynamoDB, Temporal, Datadog, Go, and LinkedIn Recruiter for outbound hiring.
Headquartered in San Francisco, CA. Hiring is limited to the United States.
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