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November 13, 2024 28 mins

Recently, I had the opportunity to catch up with Brent, and Greg Miller, VP of Business Development at Carta Healthcare at the recent HLTH event in Las Vegas. 

Brent has over 35 years in healthcare IT, contributing to groundbreaking companies like Medicity, Health Catalyst, and Commure. Greg has previous professional experience at Lumeon, Health Catalyst, and IBM.

Now, at Carta Healthcare, Brent, Greg, and the team are transforming data management, making vast amounts of unstructured clinical data accessible and actionable for healthcare providers, and leveraging AI to streamline clinical data abstraction and revolutionize healthcare delivery. 

Carta Healthcare is a leader in clinical data abstraction, blending artificial intelligence with expert human abstractors to make unstructured clinical data accessible and actionable for healthcare systems. The company addresses the inefficiencies in traditional data management by employing AI-powered tools that transform complex, unstructured data into structured formats for quality improvement, regulatory compliance, and decision-making. Their platform, Atlas, supports data abstraction for registries, enabling hospitals and health systems to reduce costs by up to 50% and improve data accuracy with high reliability.

The company’s approach is designed to relieve overburdened healthcare staff by making data abstraction faster, more accurate, and cost-effective. Carta Healthcare’s solutions are trusted across diverse health systems, from community hospitals to large academic centers, allowing these organizations to handle a high volume of registry submissions without added strain on resources. With a scalable model, Carta provides flexible partnerships, including staff augmentation, hybrid AI-assisted models, and direct technology licensing, empowering 

In this conversation, Brent and Greg share how Carta Healthcare uses AI, particularly large language models, to manage unstructured clinical data, making it useful for real-time decision-making.


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