REVIEWS
GenAI reviews encounters and relevant clinical documents across all service lines
ANALYZES
GenAI analyzes the encounters for missed coding opportunities and potential financial impact
PRESENTS
GenAI presents high-confidence coding suggestions to the health system coding team via an intuitive interface
VALIDATES
Coders validate the AI’s suggestions, with justifications and easily verifiable direct quotes
APPROVES
Coders approve the codes with confidence
We build a GenAI model just for your health system and train it on your clinical and financial data. It learns your unique nuances to deliver highly accurate recommendations.
Our GenAI uncovers hard-to-spot coding opportunities pre-bill and post-bill, overlooked by legacy technology and manual reviews. We identify missed diagnoses and procedure codes with quality and DRG impacts, ensuring nothing slips through the cracks.
Unlike other vendors that focus primarily on reimbursement opportunities, AKASA also optimizes for CMI and risk adjustment. We uncover quality indicators and review encounters for complexity and severity, ensuring accurate CMI.
Our AI isn’t a black box. It shows its work. Each recommendation comes with AI-generated justifications, direct quotes, and links to documentation, so coders can easily verify and trust the results. Transparency is at the core of our technology.
Your time matters and AKASA makes it count. Our GenAI rapidly reviews and delivers coding opportunities for staff to review, minimizing A/R delays.
Our layout is designed by coders for coders, making it easy to validate and approve recommendations quickly.
Generative AI will have a substantial impact on the future of coding operations, according to an HFMA survey. It streamlines labor-intensive workflows, ensures more accurate coding, and enables organizations to capture appropriate revenue.
Achieving accuracy in medical coding requires a comprehensive approach that thoroughly reviews all relevant clinical docume ...
Read the Blog