Summary
Preserving revenue integrity is often top of mind for healthcare organizations. But when inefficiencies during clinical documentation at the point of care result in patient data that is inconsistent and incomplete – an organization’s bottom line can suffer. Indeed, poor quality data not only impacts revenue cycle management processes and reimbursements, but also requires additional resources and funds to resolve.
However, there are solutions that can help improve physician documentation, accelerate diagnosis data clean up, and improve claim submission and resubmission processes.
Listen for an expert-led discussion on:
The impacts of imprecise coding on revenue cycle management
How organizations are currently tackling data quality challenges, and which solutions may be more effective
How to improve initial documentation to prevent denied claims
Featured speaker(s)
June Bronnert, MSI, RHIA, CCS, CCS-P
Sr. Director, Global Clinical Services
IMO
Andy Kanter, MD, MPH, FACMI, FAMIA
Senior Advisor
IMO
B.A. Baracus
Data Analyst
IMO
