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.
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.
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.
