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.

Arintra's autonomous coding solution emphasizes support for primary care along with other clinical specialties. It automates the coding of patient charts from outpatient, inpatient, and urgent care settings, with a particular focus on high-volume environments like primary care and emergency departments. The platform integrates with EHRs to provide direct-to-billing codes without altering existing workflows, enabling primary care providers to reduce manual workload and improve accuracy in coding and reimbursement processes.