Carta Healthcare

Carta Healthcare operates an AI-powered clinical data management platform serving hospitals and health systems nationwide. The company specializes in clinical registry data abstraction, using what it calls "Hybrid Intelligence"—combining AI automation with a team of 200+ clinical abstractors with over 200 years of collective clinical experience.

The platform includes several products: Atlas for automated registry data collection and submission, Lighthouse for AI-assisted registry question guidance, Harbor for clinical trial patient matching, and Navigator for real-world evidence analytics. The company supports major clinical registries including NSQIP, ACC, and specialty registries, with services ranging from fully managed abstraction to AI-assisted tools for in-house teams.

Carta Healthcare reports a 100% client retention rate for 2025 and works with major health systems including CommonSpirit Health, Mass General Brigham, and UCSF Health. The company's AI technology is powered by Claude for Healthcare (Anthropic), with clinical oversight ensuring accuracy in medical data interpretation.

Choose Carta Healthcare if you're a hospital or health system facing clinical registry compliance challenges, abstraction staff shortages, or poor data quality scores. Their proven track record with major academic medical centers and multi-entity health systems demonstrates capability to handle complex, high-volume abstraction needs.

Expect a partnership model where AI handles initial data extraction while clinical experts validate and ensure accuracy. Organizations should be prepared for a managed service or hybrid approach rather than a standalone software implementation, as the human expertise component is integral to their value proposition.

Carta Healthcare is exclusively focused on healthcare, specifically serving hospitals and health systems with clinical registry compliance and data abstraction needs. The company demonstrates deep expertise in healthcare-specific registries (NSQIP, ACC, oncology registries) and understands the clinical nuances required for accurate medical data interpretation.

Their team of 200+ clinical abstractors brings collective clinical experience to ensure proper medical record interpretation, and their AI is specifically trained on healthcare documentation. The company also supports clinical trial optimization and real-world evidence generation, addressing research needs within provider organizations.

Ideal clients are mid-to-large hospital systems (50+ beds) with established clinical registry programs experiencing abstraction backlogs, high costs, or quality issues. Organizations committed to clinical quality improvement, participating in multiple registries (NSQIP, ACC, oncology, etc.), and open to AI-augmented workflows will benefit most. Academic medical centers conducting clinical research can leverage both the abstraction and trial matching capabilities.