South San Francisco, Calif. – October 02, 2026 -- AKASA has launched an autonomous AI platform for inpatient medical coding and clinical documentation integrity (CDI), expanding beyond its existing prebill review tools after inpatient volume processed by the company grew nearly 6x over the past year.
AKASA's health system customers now cover 10% of U.S. inpatient discharges
The company's customer base collectively represents more than $180 billion in aggregate net patient revenue and roughly 10% of all U.S. inpatient discharges. The growth has been driven by adoption of AKASA's existing AI-powered prebill review products, which the company says created the volume and performance data needed to move into fully autonomous coding.
AI completes inpatient coding in under 90 seconds, versus 30-60 minutes for human coders
A human coder typically needs 30 to 60 minutes to code a single inpatient encounter, and workforce shortages can leave accounts waiting several days post-discharge before a coder even begins work, according to AKASA. The company's AI is designed to complete coding in under 90 seconds after discharge across all specialties with no human intervention, a shift AKASA says accelerates billing and reduces accounts receivable days.
Blinded third-party tests covered 65%-85% of inpatient case volume
AKASA conducted rigorous third-party, blinded evaluations comparing its AI against human coder performance on inpatient encounters representing 65% to 85% of total inpatient volume for participating health systems. The company reported that its AI matched or exceeded human coders on MS-DRG assignment, principal diagnosis, clinical quality capture, and present-on-admission accuracy. The industry has struggled with reliable automation in this area: a 2025 peer-reviewed study in npj Health Systems cited medical coding error rates of up to 20%, while a July 2026 U.S. Government Accountability Office review flagged verifiable accuracy as a central challenge for AI adoption in medical notes and coding.
Cleveland Clinic and Nebraska Methodist back expanded deployment
Cleveland Clinic has used AKASA's prebill review products across coding and CDI and intends to explore the autonomous mid-cycle offering to further strengthen record accuracy and operational efficiency. "Our revenue cycle work is especially time-intensive because we care for many medically complex patients," said Rohit Chandra, Ph.D., chief digital officer at Cleveland Clinic. "With autonomous coding, we seek to improve speed and precision in these challenging processes under a compliance-first approach to this work." Nebraska Methodist Health System, a multi-year AKASA customer, said the shift to autonomy follows measurable gains in revenue integrity, denials, write-offs, and payment speed under the company's prior tools, according to CFO Jeff Francis. AKASA will work with health systems to design customized deployment plans that scale autonomous coding volume based on individual needs, and plans to extend the platform to outpatient facility encounters.