AKASA Launches First Autonomous AI Platform for Coding and Documentation

October 2, 2026

AKASA has launched its autonomous AI platform for mid-cycle operations in healthcare, specifically targeting inpatient coding and clinical documentation integrity (CDI). This expansion follows the company's success with AI-powered prebill reviews and is aimed at optimizing the complex workflows within healthcare delivery.

The company reports significant growth in its customer base, with hospitals utilizing its technology representing over $180 billion in aggregate net patient revenue and approximately 10% of inpatient discharges in the United States. In the past year, AKASA's processing volume for inpatient cases has grown nearly sixfold.

AKASA's technology adapts AI models to the unique needs of individual health systems, taking into account variances in patient demographics, clinical guidelines, and documentation methods. This customization is intended to improve the accuracy of coding and completeness of documentation, ultimately enhancing patient care.

In a statement, CEO Malinka Walaliyadde emphasized the significance of AI advancements in addressing the growing demands of healthcare, noting that the autonomy in mid-cycle processes has long been sought after within the industry. With coding and documentation as critical elements, AKASA aims to transform these areas through its new technology.

Preliminary studies indicate that AKASA's AI can achieve coding accuracy that matches or exceeds human performance in a range of metrics. The company plans to extend its automation capabilities further to outpatient facility encounters, facilitating expedited billing processes and reducing delays often caused by workforce constraints in coding teams.

Through partnerships with healthcare organizations, including Cleveland Clinic, AKASA's technology is expected to improve the overall efficiency and accuracy of clinical records. As the company rolls out its autonomous mid-cycle solutions, it will collaborate with health systems to tailor implementation plans that suit their specific requirements.

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