Carta Healthcare combines artificial intelligence with expert clinical data abstractors to enhance the speed and quality of clinical data abstraction for healthcare registries. This approach addresses the inefficiencies of traditional data abstraction methods, which are often time-consuming, labor-intensive, and costly, by delivering high-quality data more efficiently.
Funding
$42.3M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
+3Founders
Product
Problem
Clinical data abstraction for healthcare registries is traditionally time-consuming, labor-intensive, and costly, often resulting in inefficiencies and hindering the timely availability of high-quality data for clinical improvement initiatives. These traditional methods struggle to efficiently process both structured and unstructured data, limiting the ability of healthcare organizations to leverage data for optimizing patient care and research.
Solution
Carta Healthcare combines artificial intelligence with expert clinical data abstractors to accelerate and enhance the quality of clinical data abstraction for healthcare registries. Their technology automates the collection of registry data while ensuring accuracy through clinician oversight, streamlining operations for hospitals and health systems. By activating structured and unstructured data in real-time, Carta Healthcare empowers clinical teams and researchers to optimize data abstraction, identify patients for clinical trials, and generate actionable insights that improve healthcare efficiency and outcomes. The platform aims to improve the speed, accuracy, and cost-effectiveness of clinical data abstraction.
Target Audience
Carta Healthcare primarily serves hospitals, health systems, and clinical research organizations that require efficient and accurate clinical data abstraction for registries and quality improvement initiatives.
Features
- AI-driven automation of clinical data abstraction from structured and unstructured sources
- Integration of expert clinical data abstractors to ensure data accuracy and quality
- Real-time data activation for timely insights and decision-making
- Identification of patients for clinical trials based on abstracted data
- Streamlined operations for hospitals and health systems through efficient data management