From chart review to automated submission
Automated Data Extraction
Captures structured and unstructured data from EHRs, clinical notes, and scanned documents.
Registry-Specific Mapping
Converts raw data into standardized formats required by CMS, HEDIS, AHRQ, NCDR, STS, and other quality reporting registries.
AI-Driven Accuracy
Reduces human error and improves data completeness and consistency.
Real-Time Compliance Monitoring
Ensures adherence to evolving reporting standards and regulatory requirements.
Seamless EHR Integration
Works with existing hospital and health system infrastructures for a smooth workflow.
Time & Cost Savings
Frees clinical staff from manual abstraction, allowing them to focus on patient care.
Replace manual work with intelligent automation
Core Mobile's advanced AI seamlessly integrates with EHRs to extract both structured data (lab results, vitals, medications) and unstructured data (physician notes, discharge summaries). Leveraging Natural Language Processing and Machine Learning, the system identifies relevant clinical data, maps it to specific registry requirements, and automates abstraction — eliminating the need for manual review by Nurse Abstractors.
Request a DemoStructured and unstructured data pulled from the EHR — labs, vitals, medications, notes, summaries.
NLP and Machine Learning identify the relevant clinical elements in each record.
Data is converted to the standardized formats each registry requires.
Abstraction and submission are automated — no manual chart review.
14 months of paper charting, done in 16 weeks
Structured, AI-assisted data capture compresses whole research and reporting timelines — not just minutes per chart.
"The initial study using paper charting took in total about 14 months to complete. Whereas the same study using Core Mobile software took about 16 weeks to complete and present at a conference."
