Carta Healthcare, a leading provider of AI-powered clinical data abstraction solutions, announced today that it has earned first-place Gold recognition for “Best Use of AI in Healthcare” in the 2025 Merit Awards for Healthcare.
Carta Healthcare and Fivos have partnered to bring AI-powered clinical data abstraction to vascular registries, helping hospitals reduce manual workload while improving the speed and accuracy of data submitted to the SVS VQI®.
Carta Healthcare, the leading provider of AI-powered clinical data abstraction solutions, has been named among CB Insights' Digital Health 50, an honor reserved for the world's highest-potential private companies in digital health.
Carta Healthcare has been named a finalist in the 2025 A.I. Awards for Best Use of AI in Healthcare. The recognition highlights its innovative Hybrid Intelligence approach that’s transforming clinical data management with unmatched accuracy and efficiency.
Betsy Castillo of Carta Healthcare says AI abstraction tools fail without clinician input. She stresses that medical expertise is essential to ensure accuracy and avoid dangerous misinterpretations in healthcare AI.
Honored with a Silver Stevie® Award, Carta Healthcare was recognized for its groundbreaking Hybrid Intelligence approach, which combines advanced AI with clinical expertise to dramatically improve the speed, accuracy, and efficiency of clinical data abstraction.
Intelligent data abstraction using hybrid AI and human expertise extracts detailed clinical data from EHRs to identify breast cancer patients eligible for less invasive care, improving guideline adherence, reducing unnecessary procedures, and supporting personalized, precision-driven treatment.
Becker’s Hospital Review released its 2025 “100 Women in Health IT to Know” list, recognizing female leaders driving innovation in healthcare technology. Honorees are advancing digital transformation, improving care delivery, and shaping the future of health IT.
The article highlights AI’s role in improving patient outcomes and streamlining healthcare operations, including reducing admin burden and enhancing clinical decision support. Carta Healthcare’s AI clinical data tools fit this trend by improving data accuracy, speeding abstraction, and freeing clinicians for patient care.
HITConsultant highlights key HIMSS25 trends like AI, interoperability, and predictive analytics driving value-based care. Executives stressed the need for high-quality structured data for effective AI — aligning with Carta Healthcare’s AI clinical data abstraction platform that fuels better insights and workflows.
The article discusses whether AI can replace clinical data abstractors, noting Carta Healthcare’s survey showing most abstractors believe AI reduces workload but still needs human oversight for quality. Carta’s hybrid AI-plus-expert approach reflects this balance.
A Carta Healthcare survey found most clinical data abstractors believe AI can save time, reduce effort and cut costs, but many lack access to AI tools at work and worry about data quality without human oversight. Carta’s platform blends AI with expert review to address these gaps.
Experts say equitable, inclusive care in 2025 requires tech like AI and virtual care to expand access, reduce disparities, and personalize care. Carta Healthcare’s AI clinical data platform supports this by unlocking structured insights from records to help health systems address equity and improve outcomes.
Health IT Business News reports that Carta Healthcare won a 2025 BIG Innovation Award for its AI-powered clinical data abstraction platform, highlighting its role in transforming data insights, reducing manual workload, and boosting healthcare innovation and efficiency.
Carta Healthcare won a BIG Innovation Award for its AI-powered clinical data abstraction platform, recognizing its impact on improving data insights, reducing manual work, and advancing healthcare technology to support better clinical and operational decision-making.
Healthcare leaders say top issues for health information professionals in 2025 include managing AI integration, improving interoperability between systems, and addressing challenges in clinical documentation, workforce development, revenue cycle, privacy, and data security.
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