AKASA Coding leverages generative AI and large language models fine-tuned on health system-specific data to automate and enhance medical coding and CDI processes. It reviews clinical documentation, suggests appropriate codes, provides justifications and direct evidence for recommendations, and flags missed revenue or quality opportunities. The platform is tailored to each client's workflows, boosting coder productivity, accuracy, and revenue capture while reducing administrative costs and error rates. It blends machine learning with expert-in-the-loop mechanisms for exception handling and continuous improvement.

Ambience CDI (integrated with Ambience Scribe) automatically generates comprehensive medical notes and coding suggestions from patient encounters for provider review and EHR entry. It supports customized documentation workflows for over 80 specialties and subspecialties, ensures compliance with coding and billing requirements, and offers real-time, integrated scribing and CDI assistance. The solution reduces clinician administrative workload, improves documentation quality, and optimizes revenue cycle processes.

MarianaAI's CARE platform automates clinical workflows with AI tools like the AI Medical Scribe, which transcribes multi-lingual medical encounters in real-time and generates clinical notes and codes. The platform also creates detailed Patient Portraits, summarizes patient histories to improve care and optimize HCC/RAF scores, and automates medical coding. Additionally, it auto-drafts responses and triaging messages for patient communication.