Keshia Lewis, Executive Director of Integrated Authorization Services at Wellstar Health System, discusses how AI-powered bots and predictive analytics are driving efficiency by automating eligibility checks, flagging high-risk claims, and accelerating cash posting.
For Keshia Lewis, the practical applications of AI are apparent. In this episode of HL Shorts, the Executive Director of Integrated Authroization Services breaks down exactly how machine learning is streamlining both front-end and back-end processes at her organization.
She highlights where these tools are making an impact, from real-time eligibility verification that prevents downstream denials to robotic process automation (RPA) that reconciles payments with minimal human intervention. By automating these routine tasks, her team can focus on complex cases that require human judgment, ultimately enhancing both accuracy and the patient experience.
Luke Gale is the revenue cycle editor for HealthLeaders.
KEY TAKEAWAYS
Effective use of AI-powered bots for real-time eligibility and benefit verification helps to flag missing information and prevents denials before services are even rendered.
On the back end, AI models analyze historical data to identify high-risk claims early, while automated workflows streamline the appeals process by generating letters and tracking deadlines.
Robotic Process Automation is transforming cash posting by automatically reconciling payments and resolving discrepancies, which accelerates A/R turnover and reduces manual workload.