AI-Powered Data Abstraction for Registry Workflows
Turn unstructured clinical documentation into registry-ready data, automatically.
Contact us for a demoAbstraction that reads the chart for you
Cedaron's AI-powered data abstraction solution uses large language models, intelligent workflow automation, and advanced validation routines to identify, extract, and populate registry data from unstructured clinical documentation.
From clinical notes to registry submission
A standalone Cedaron solution that reduces manual abstraction effort while improving efficiency and data quality across registry workflows.
AI-Powered Extraction
Large language models, intelligent workflow automation, and advanced validation routines identify, extract, and populate registry data from unstructured clinical documentation.
Proven Interoperability
Combining AI with Cedaron's proven interface engines and FHIR-based interoperability lets healthcare organizations reduce manual abstraction effort while improving efficiency and data quality.
EHR to Registry, Streamlined
A streamlined path from the EHR to registry submission, extracting relevant information from clinical notes, reports, flowsheets, and other documentation sources.
IRR Validation & Source Snippets
Cedaron’s Inter-Rater Reliability (IRR) tools help clinicians validate the accuracy of AI-recommended data elements. When a data abstractor is working in the registry form, the system displays snippets showing where the data came from, along with an image of the source note content the AI used to make its recommendation.
We calm the storm.
See AI abstraction on your registry workflow and get back to improving health and saving lives.
Contact us for a demo
