Machine learning (ML) has evolved beyond its status as a technological trend to become an indispensable asset in outpatient surgical risk stratification. Within the domains of medical coding and claims adjudication, coding professionals play a pivotal role in optimizing ML model performance.
The Outpatient Code Editor (OCE) provides the answers to the test, but to use it effectively, you need to understand the history and the complex configuration of all the parts.
