Where mid-revenue cycle automation is driving the most value

Where mid-revenue cycle automation is driving the most value

How RCM leaders from Intermountain, Stanford, and other top health systems are implementing AI and automation solutions

Read Now

First Name *

Last Name *

Email Address *

Company *

Job Title *

Exact Title *

Job Function *

Worksite *

Work Phone *

Country *

State *

Postal Code *

By submitting this form you agree to the HIMSS Privacy Policy.

Traditionally, health systems’ mid-revenue cycle phase has relied on labor-intensive, error-prone manual processes, which can lead to claims denials and increased administrative costs. Automation and AI are reshaping workflows related to clinical documentation, medical coding, and charge capture, offering new opportunities to leverage revenue cycle teams’ skills more effectively. Nym Health and HFMA held an executive roundtable where revenue cycle and health information management leaders discussed their use of AI and automation tools; this report presents key insights from the roundtable.

Learn about:

How long it takes to see value after implementing AI
Which types of automation are best for different applications
Addressing skepticism and building buy-in for AI solutions