3 ways to recover lost revenue with AI-powered charge capture
Battling cost pressures and staffing shortages leaves little time for hospitals and health systems to go after reimbursable dollars. But forgoing this revenue can cost millions. Rather than leave this money on the table, learn to leverage artificial intelligence to improve the visibility of billable income and capture more payments.
This e-book contains proven ways to identify and collect missing charges. It also features real-world examples of how other health systems have used AI-powered charge capture to modernize processes. For instance, an Ohio health system found $5.9 million in missing charges, while a South Carolina health system detected $1.68 million in lost revenue.
Download the to learn how to:
This e-book contains proven ways to identify and collect missing charges. It also features real-world examples of how other health systems have used AI-powered charge capture to modernize processes. For instance, an Ohio health system found $5.9 million in missing charges, while a South Carolina health system detected $1.68 million in lost revenue.
Download the to learn how to:
- Simplify charge capture processes using AI and predictive analytics
- Improve DRG accuracy without spending more time on accounts
- Avoid lost revenue related to transfer DRGs.
Please fill out the form to download the whitepaper.