Revolutionizing Revenue-Cycle Management Efficiency with AI

Revolutionizing Revenue-Cycle Management Efficiency with AI. A robotic hand types on a digital adding machine.

NEW AHA Leadership Scan

In the intricate landscape of health care, payer denials pose a significant challenge for providers. In recent years, denial rates have risen, partly due to payers’ use of artificial intelligence (AI) and provider workforce constraints to help mitigate denials. With the click of a button, dozens of claims can be denied — not from a comprehensive medical review process but from insurance plans incorporating their own set of algorithms.

Nevertheless, providers also can use AI and automation to play a pivotal role in denial prevention, management and recovery by streamlining processes, reducing errors and enhancing efficiency.

A new AHA Center for Health Innovation Leadership Scan episode, “Revolutionizing Revenue Cycle Management (RCM) Efficiency with AI,” will share insights on how AI solutions can help hospitals and health systems overcome staffing challenges in critical RCM areas to respond more efficiently to payer denials.

Attendees will learn:

  • How to address key challenges in RCM operations.
  • How to identify the specific areas of the revenue cycle most impacted by staff shortages and how to overcome administrative burdens.
  • How payers are using AI in review processes to challenge claims and how provider organizations can leverage AI to respond to challenges.
  • How AI technology can help health care providers respond to staffing shortages in RCM and reduce manual intervention.

Register now for the June 27 program that runs from 1 p.m. to 2 p.m. ET.

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