AKASA Launches Autonomous AI Platform for Inpatient Coding

AKASA announced in a press release an autonomous AI platform for inpatient medical coding and clinical documentation integrity. The platform expands the company’s prebill review software into autonomous workflows for the middle stage of the healthcare revenue cycle.

AKASA says the platform can code complex inpatient cases across medical specialties without human intervention. It completes coding in less than 90 seconds after patient discharge, compared with the 30 to 60 minutes that the company says a human coder typically needs.

The company says blinded evaluations by third parties found its system matched or exceeded human coders on measures including diagnosis related group assignment, principal diagnosis, clinical quality capture and accuracy for conditions present on admission. AKASA plans to add outpatient facility encounters and will create deployment plans with individual health systems.

AKASA says its customers account for about 10% of inpatient discharges in the United States and more than $180 billion in combined net patient revenue. The company trains models for each health system using its clinical documentation, patient mix and coding decisions.