Beth Israel Lahey’s VP of Mid-Revenue Cycle says that AI’s primary role is to stabilize output, proactively flag compliance risks against payer contracts, and ensure accurate documentation before claims are submitted.
"Autonomous coding is actually a misnomer," according to Keisha Downes, Vice President of Mid-Revenue Cycle at Beth Israel Lahey Health.
In this episode of HL Shorts, Downes suggests that 100% hands-off processing is an unrealistic goal and that revenue cycle leaders should focus on applications for autonomous coding as a proactive compliance and stabilization tool.
Watch the full clip below, or visit our YouTube channel for more.
Luke Gale is the revenue cycle editor for HealthLeaders.
KEY TAKEAWAYS
AI can help create consistency by removing human error, but 100% hands-off claims processing is an unrealistic goal.
Autonomous coding platforms are effective at proactively flagging misalignments between clinical documentation and medical necessity requirements.
Technology helps stabilize coding consistency, ensuring claims receive the same scrutiny regardless of the day or time.