How it Works
Automating the Chart Abstraction Lifecycle
AutoChart™ replaces the manual lifecycle with a completely automated, agentic AI-powered process:
Automated Data
Ingestion
Seamlessly converts and ingests data from your EHR environment.
02
LLM-Based Abstraction & Validation
Utilizing a "Judge and Jury" LLM ensemble, the system abstracts clinical data and performs rigorous QA and validation.
03
Automated Governance and Reporting
Final data is analyzed and reported automatically, ensuring every quality measure is met for every patient.
The Challenge
Overcoming the Limitations of Traditional Chart Abstraction
Burdensome Workflows: High manual effort creates significant strain for nurses, quality teams, and IT departments.
Scalability Issues: Manual chart review and abstraction are slow, limiting the ability to scale across large patient populations.
Retrospective Delays: Relying on retrospective data means outcomes are often identified too late to impact immediate care
Risk of Inaccuracy: Manual processes are inherently prone to human error.
Limited Insights: Because of the time required, organizations often rely on sampling rather than full population analysis.
The Solution
A Next-Generation Design for Better Outcomes
AutoChart™ shifts the paradigm in quality and performance improvement through a solution designed for speed, accuracy, and return on investment:
10x Faster Processing: Achieve results significantly faster than manual abstraction.
Unrivaled Accuracy: Deliver 99.5% accuracy through specialized AI-based QA.
Deep Clinical Intelligence: Built on a foundation trained on over 30 million patient records.
Proven Financial Impact: Demonstrated ROI exceeding $1M annually from a single use case.
Seamless Integration: AutoETL technology integrates with Epic in under 60 seconds and supports Meditech and Oracle (Cerner).
Built-In AI Governance
We provide smarter, safer, and more secure AI for healthcare by building governance directly into the platform:
On-Prem or Private Cloud Deployment
AutoChart runs within the health system’s environment, ensuring full control of its data and the ability to securely scale up ROI.
NIST-Based
Security
Designed for HIPAA compliance and built on the NIST AI Risk Management Framework (RMF).
Real-Time Observability
Dashboards provide continuous monitoring with automated alerting for hallucinations, drift, and bias.
Full Traceability
Maintain complete data lineage and auditability, allowing you to track every piece of information back to its source.
Privacy-First Architecture
Features like Privacy Preserving Record Linkage (PPRL) and an Automated Honest Broker ensure data remains secure within your environment.