Reimagining Revenue: Data, AI, and the Future of Denial Management (on demand)
Go to the official page ↗Direct official link
What you'll learn
You learn to find the root causes of preventable claim denials, see how analytics, AI and automation predict and prevent denials and speed appeals, and read the dashboards that show whether it pays off.
- Root causes of preventable claim denials
- AI and automation to predict and prevent denials
- Faster denial resolution and appeals
- Performance metrics, dashboards and ROI
Source: the provider's official page ↗
Is this right for you?
- Level
- Beginner People new to this. You can start today with no experience.
- What you get
- Hands on skills you can use right away. No certificate, so the proof is what you do with it. It costs nothing to take.
- How you learn
- Online, self paced, about 60 min.
- How to use it
- Turn it into proof: use the skill on one real task at work, put the result on your résumé, and lead with that story in interviews.
- Why it's worth it
- Real skills you can put to work right away. Use them on the job, show the results, and you have a story that beats a stack of certificates.
What you will payLearning is freeNo free award is included. Any exam or certificate is a separate cost.
- Time
- 60 minutes.
- Before you start
- Free MGMA registration; contact details may be shared with the sponsor.
- How you are tested
- On demand recorded webinar; credit requires watching and completing the evaluation.
- Renewal
- None stated.
- Full cost details
- $0. MGMA lists the webinar as free; it is vendor sponsored.
- Where it applies
- Online; open to anyone in the US. Credit counts toward ACMPE.
Checked at the source Oct 23, 2026
Sources and what we verified
MGMA webinar page: free, credit, presenter, objectives, recording date ↗What we verified: Presented by a Cognizant RCM director; sponsored by Cognizant; recorded April 28, 2026. Page lists 1.00 ACMPE and 1.00 CEU.
Fees and eligibility can change. Confirm current terms with the issuer before you pay.
Also listed for: AI for Healthcare Administration