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01. How it Works

Integration of Data Sources

Initiating the auto-coding process, aiH.Automate™’s engine uses AI-ML to extract metadata from complex structured and unstructured clinical notes (FHIR, HL7/API, PDF, EMR/PM) to auto-populate demographic and clinical insights. 

02. How it Works

Automated Coding Workflow

Next, the aiH.Automate™ engine assigns the correct CPT® codes. Successfully coded notes are directly routed to billing workflows while complex exceptions are sent to human coders’ work queues for further review. QA sample rates can be customized by organization, provider, and specialty.

Animated coding workflow

03. How it Works

Analytics and Full Audit Trailing

Our robust and customizable analytics dashboard offers full audit trailing, providing detailed insight into the auto-coding processes. Stakeholders can efficiently and transparently track the system’s performance every step of the way. 

Animated Analytics

How it works.

aiH.Automate™ deploys advanced deep learning and AI-ML models to transform clinical notes into CPT® codes. Our auto-coding engine sends completed encounters directly to billing while routing exceptions to coders for further review.

Reduce your coding workflow from minutes to seconds.

Reduce your coding workflow from minutes to seconds.

Reimagine Medical Coding with aiH.Automate™

AI-ML that dives deep into your medical specialties, extracting the clinical notes necessary to accurately and compliantly code for billing.


Want to know more about our aiH.Automate™ workflow?

Automated Medical Coding

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©2023 aiHealth. All rights reserved.

©2023 aiHealth. All rights reserved

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