What You Should Know:
– AKASA, the preeminent provider of end-to-end generative AI (GenAI) solutions for the revenue cycle, announced the release of AKASA Medical CodingTM, a first-of-its-kind GenAI assistant to transform the $23B medical coding field.
– AKASA Medical Coding puts the power of GenAI at medical coders’ fingertips, enabling them to work with unprecedented efficiency, accuracy and comprehensiveness.
Revolutionizing Medical Coding with AKASA GenAI Technology
Accuracy, comprehensiveness, and compliance are critical priorities for medical coding within health systems. However, delivering reliable code recommendations has long been a significant pain point with preexisting technology solutions. AKASA Medical Coding addresses this issue by adding justifications and direct links to medical text, offering a dependable solution that both health systems and their coders can rely on.
Powered by proprietary GenAI technology, AKASA Medical Coding is trained on each health system’s clinical and financial data. This advanced AI technology performs the ‘heavy lifting’ of meticulously combing through every relevant medical document for each patient encounter. The solution then identifies recommended codes, each accompanied by justifications linked directly to supporting medical text, allowing coders to accept or revise these recommendations. By leveraging a health system’s unique data, the AKASA Platform outperforms popular generic models like GPT-4 by as much as 40%.
AKASA Medical Coding is unparalleled in its ability to analyze a broad range of document types — including clinical notes, imaging reports, and clinical observations. It uniquely integrates these documents, combining clinical and EDI data to create a cohesive patient story in a manner previously only achievable by seasoned coders.
Additionally, AKASA Medical Coding joins Authorization Advisor™, the AKASA GenAI assistant for patient access, to provide comprehensive AI assistance for health system revenue cycle professionals. Integrating with major EHR systems, these groundbreaking AI assistants address some of the biggest challenges in the revenue cycle, including prior authorization, claims management, and now coding. This integration dramatically boosts the efficiency and accuracy of revenue cycle operations, resulting in happier, higher-performing staff and an elevated patient experience.
“Generative AI is the future of medical coding and will have a tremendous impact on reimbursement and quality. We’ve been amazed at the excitement we’re seeing among major health systems,” said Malinka Walaliyadde, CEO and co-founder of AKASA. “This marks a huge step in bridging the gap between AI’s potential and its practical application in healthcare today.”
