Stopping the cycle of denials, rework, and write-offs for higher ROI
Read time: 10 min
Summary
It all starts with a seemingly trivial coding inaccuracy, like missing laterality. Next, it morphs into a denied claim. From there, it becomes a spiral of rework and write-offs, leaking revenue and wreaking havoc on physician workflows. But what if you could mitigate administrative coding errors before they turn into denials, effectively stopping the cycle at its source?
Drawing on insights from nearly 40 million patient encounters, IMO Health offers a solution that dramatically curbs coding inaccuracies, minimizing denials from day one and delivering a 10X annualized return on investment (ROI). It’s time to eliminate rework.
Key Learnings:
The key challenges of revenue cycle management (RCM)
How IMO Health’s unique solution, built upon rich clinical terminology, stops denials in their tracks
How one customer achieved a 67% reduction in denials and a 10X ROI with IMO Health
Featured speaker(s)
i 1Soroush, A., Glicksberg, B. S., Zimlichman, E., Barash, Y., Freeman, R., Charney, A. W., … & Klang, E. (2024). Large Language Models Are Poor Medical Coders—Benchmarking of Medical Code Querying. NEJM AI, AIdbp2300040.
Marketing Director
IMO
Thomas Magnum
Marketing Manager
IMO
B.A. Baracus
Data Analyst
IMO
B.A. Baracus
Data Analyst
IMO
i 1Soroush, A., Glicksberg, B. S., Zimlichman, E., Barash, Y., Freeman, R., Charney, A. W., … & Klang, E. (2024). Large Language Models Are Poor Medical Coders—Benchmarking of Medical Code Querying. NEJM AI, AIdbp2300040.
