by Aspirion | Nov 1, 2024 | Revenue Cycle Management, Veterans Affairs
In this session, Lori Lipocky, Aspirion Advisor, Joseph Sawyer, Aspirion Veterans Affairs & TRICARE Operations Manager, and Rebecca Weise, Aspirion Veterans Affairs & TRICARE Team Leader Trainer, address a critical question for healthcare providers: How can...
by Aspirion | Sep 12, 2024 | Motor Vehicle Accident, Revenue Cycle Management
In this session, attorney Martin Drake, Aspirion’s Senior Director Complex Claims Legal and Josh McVey, Aspirion’s General Manager of Motor Vehicle Accident (MVA), examine the current MVA claims landscape, focusing on legal and regulatory challenges,...
by Aspirion | Aug 28, 2024 | Motor Vehicle Accident, Revenue Cycle Management
In this session, Josh McVey, Aspirion’s General Manager of Motor Vehicle Accident (MVA), and attorney Martin Drake, Aspirion’s Senior Director Complex Claims Legal, share insights on managing MVA claims in healthcare. McVey and Drake will share real-world...
by Aspirion | Jul 24, 2024 | Denials Management, Revenue Cycle Management
In this panel discussion with RCM leaders from Children’s Hospital of Orange County (CHOC) and Children’s Health, we delve into the unique challenges pediatric hospitals face in denials management and share effective strategies to overcome these obstacles....
by Aspirion | Jul 6, 2024 | AI/ML
by Andrew Ficco | May 31, 2024 | AI/ML
Are you interested in firsthand insights from a leading healthcare system about the transformative impact of artificial intelligence (AI) on denials management and revenue recovery? In this on-demand session, “AI Results and the Provider Perspective,” Brad Tinnermon,...
by Andrew Ficco | Apr 18, 2024 | AI/ML
If you’ve ever used ChatGPT, you know how much easier it makes your day-to-day tasks. But, did you know that Large Language Models (LLMs), like ChatGPT, have become an invaluable AI tool in managing denials workflows? In this session, Aspirion’s Chief AI...
by Aspirion | Mar 28, 2024 | AI/ML
Listen in to explore how AI-powered scoring models offer a solution to the overarching challenge of enhancing efficiency amidst increasing denials and labor shortages. Topics covered include: How using ML models trained on historical denial patterns and success rates...
