AKASA Launched Autonomous AI Inpatient Coding Platform
The new system automates clinical documentation and medical coding processes to reduce traditional manual wait times.
Updated on Oct. 2, 2026 in Healthcare
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AKASA has unveiled an autonomous artificial intelligence platform designed to handle inpatient medical coding and clinical documentation without human intervention. The technology promises to streamline hospital workflows by completing coding tasks in approximately 90 seconds following a patient discharge.
Why it matters
Health systems are increasingly turning to automation to address severe coding workforce shortages and manage the rising complexity of inpatient medical documentation. By reducing the reliance on manual processing, which can take up to an hour per encounter, hospitals aim to improve operational efficiency.
AKASA’s clients represent over $180 billion in aggregate net patient revenue, accounting for 10% of total U.S. inpatient discharges. The platform processes clinical files that often contain 60 documents and 50,000 words for a single stay.
The players
AKASA
This company develops artificial intelligence solutions specifically designed for healthcare revenue cycle management and clinical documentation.
Cleveland Clinic
This academic medical center is among the health systems planning to deploy the newly announced autonomous mid-cycle coding solutions.
Nebraska Methodist Health System
This regional healthcare provider has maintained a multi-year working relationship with AKASA since 2019.
The details
The platform utilizes generative AI models customized to each health system's specific patient population and clinical criteria to assign MS-DRGs and principal diagnoses. These models have been validated through blinded evaluations that compare AI performance against professional medical coders.
Timeline
2019: Nebraska Methodist Health System began collaborating with AKASA.
Last year: AKASA recorded a 6x increase in processed inpatient volume.
October 2, 2026: AKASA debuted the autonomous AI platform.
Next several months: The platform will become available to health systems.
Market Landscape
This development marks a significant shift in healthcare administration as providers pivot toward full automation to combat persistent staffing shortages. It positions AKASA as a central player in the evolving competition to secure mid-cycle management contracts across major health systems.
While the platform primarily impacts hospital administrative efficiency, the increased speed of medical coding may eventually reduce the time patients wait for final billing statements. Patients do not need to take any direct action, but should monitor their health system billing portals for updates in processing speed.
The takeaway
Automated coding technology signals a major transition in how hospitals manage the high volume of documentation required for modern inpatient care. Health systems that successfully integrate these tools may see significant relief in administrative capacity constraints.
What happens next
AKASA plans to release the autonomous platform to broader health systems in the next several months, with subsequent plans to launch capabilities for outpatient facility encounters.
Further reading
For additional context on the adoption of new tools in the sector, see the latest updates in Healthcare.
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Do you trust artificial intelligence to accurately handle complex medical coding for patient records?
