Real-time clinical data extraction
Our EHR Data Orchestrator functionality extracts structured and unstructured clinical data from leading EHR solutions to support robotic process automation of medical necessity reviews.
Robotic automation
The solution extracts, analyzes and maps structured and unstructured data from your EHR to codified, evidence-based InterQual criteria to create an auto-populated medical necessity review. The auto-populated review embeds actual clinical values for each criteria point, providing transparent, defensible documentation to help reduce your denials.
Natural language processing
Many critical pieces of clinical information are stored in free text, such as imaging narratives. Natural language processing models extract discrete clinical data from this text to complete specific criteria points within the InterQual review.
Optimizing UM with automation and AI
Conducting medical necessity reviews is a manual task, but it doesn’t have to be. In this webinar, you’ll learn how InterQual® AutoReview can help hospitals facing rising costs and labor shortages streamline their utilization management (UM) processes. It features a demo of how InterQual AutoReview applies artificial intelligence (AI) to electronic health record data to create and populate medical reviews. We’ll also highlight how hospitals nationwide are leveraging medical review automation to gain much-needed efficiencies.
Fact Sheet
InterQual® AutoReview
Discover how to drive efficient and proactive case management with our blend of AI, automation and evidence.
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