Upload the clinical documentation and Ariana reads it, then suggests accurate ICD-10 and HCPCS codes with real-time compliance feedback. Trained across a large body of medical data, Ariana takes the slow, error-prone parts of coding off your team's plate and catches problems before claims go out, while your coders stay in control of every final decision.
Ariana works through the parts of coding that are slow and error-prone by hand, presenting accurate suggestions and surfacing compliance issues so your coders move faster with more confidence.
Upload a clinical note and Ariana reads and interprets the documentation, recognizing terminology and patterns across specialties so the coding starts from the actual content of the record.
Ariana maps the documentation to the appropriate ICD-10 diagnosis codes and HCPCS and procedure codes, presenting clear suggestions for the coder to review and confirm.
As documentation is reviewed, Ariana flags potential mismatches between the note and the codes and surfaces specificity or medical-necessity gaps before the claim is filed.
Built on a large medical dataset, Ariana recognizes coding patterns across a wide range of specialties, so it brings useful suggestions whether the note is primary care, a procedure, or a complex encounter.
By doing the first pass of reading and code mapping, Ariana shortens the time a coder spends per chart, helping a team clear more volume without adding heads or sacrificing accuracy.
Ariana is designed to integrate into the revenue cycle process you already run, so coders gain AI assistance inside familiar tools rather than learning an entirely new system.
Ariana does the reading and the first pass; your coder makes the call. Here is the flow from documentation to a clean, confirmed claim.
Coding is where revenue is defined and where many denials begin. Ariana brings speed and a real-time compliance check to that step, so claims leave cleaner and coders spend their expertise on judgment instead of repetitive lookups, with the final decision always theirs.
Ariana does the first-pass reading and mapping, so coders clear charts faster while keeping accuracy high.
Documentation and specificity gaps surface at the coding stage, not after a denial, protecting clean claim rates.
Ariana suggests and checks; people confirm. Expertise still owns every final code assignment.
Ariana integrates with the revenue cycle workflow you already use instead of forcing a disruptive replacement.
Hey Ariana is Healthcare Logic's AI-powered medical coding assistant. You upload clinical documentation, and Ariana reads it and suggests accurate diagnosis and procedure codes, drawing on training across a large body of medical data. It is designed to speed up coding, reduce errors, and surface compliance issues before claims go out, while coders stay in control of the final assignment.
Ariana analyzes the uploaded documentation and maps the clinical content to the appropriate ICD-10 diagnosis codes and HCPCS and procedure codes, presenting its suggestions for review. Because it has been trained on a large medical dataset, it recognizes patterns and terminology across specialties, and it flags where documentation may not fully support a code so the coder can resolve it before submission.
No. Ariana is an assistant that accelerates and supports coders, not a replacement for them. It handles the heavy lifting of reading documentation and proposing codes with compliance checks, while the coder reviews, confirms, and applies judgment to ambiguous or complex cases. The result is faster throughput and fewer errors, with human expertise still owning the final decision.
Ariana provides real-time feedback on ICD-10 and HCPCS compliance as documentation is reviewed, highlighting potential mismatches between the documentation and the codes, and surfacing specificity or medical-necessity gaps before the claim is filed. Catching these issues at the coding stage, rather than after a denial, helps keep clean claim rates high and reduces downstream rework.
Yes. Ariana is built to integrate into the existing revenue cycle workflow rather than forcing a rip-and-replace. It fits alongside the documentation and billing tools a practice already uses, so coders gain AI assistance within the process they know, and the coding step becomes faster and more consistent without disrupting everything around it.
Talk to Healthcare Logic about adding AI-assisted coding to your revenue cycle, with your coders firmly in control.
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