AKASA is processing 100% of Cleveland Clinic’s enterprise inpatient volume — recognized by HIT Consultant as “one of the most comprehensive real-world uses of GenAI in healthcare finance.”
GenAI continuously learns from your mid-cycle experts, resulting in unmatched accuracy.
Custom model training
AKASA ingests a comprehensive dataset to train each custom LLM.
AI-powered review
AKASA’s LLM re-codes and re-analyzes every encounter, flagging documentation gaps, unsupported codes, and optimization opportunities.
Actionable recommendations
Each suggestion comes with clinical evidence, coding references, and confidence scores.
Empowering your staff
Coders and CDI staff accept or reject recommendations directly in the platform.
Continuous learning
Every review helps the tool adapt to your workflows, provider styles, and evolving coding guidelines.
Re-codes every encounter across all service lines from scratch using source clinical documentation — identifying unsupported codes, sequencing improvements, and missed CC/MCCs to ensure precise, compliant reimbursement.
Analyzes patient vitals, labs, flow sheets, medications, clinical notes, and other complex data sources to surface clinically contextual documentation gaps and evidence-based clinical queries — helping teams tell the complete story of care.