Webinar Recording: Moving Beyond Cost Containment in the Wake of COVID-19

July 9, 2020 - By Ashley Binford

Prior to COVID-19, many hospital finance leaders knew that a major reason for thin margins was leakage from mid-revenue cycle, specifically documentation integrity. Today, health systems face even more unknowns — from the unexpected 30% reimbursement decline due to COVID-19 medical admissions (according to an Iodine Software analysis) to the rise in telehealth vs. inpatient visits.  As health systems prepare for “the new normal,” finance leaders are looking for ways to ensure their system is ahead of the curve and built to ensure financial resiliency.

Be part of the discussion with other health system revenue cycle leaders that will cover:

  • The projected financial impact of COVID-19 and current financial recovery trends, based on a real-world analysis of 600+ U.S. hospitals
  • Mid-cycle leakage and the role clinical documentation plays in driving revenue
  • Revenue cycle strategies you can employ today that are short-term revenue accretive and build financial resiliency for the long term

Speakers: 

  • Kyle McElroy, VP, Health Information Management
  • Fran Jurcak, MSN, RN, CCDS, Chief Clinical Strategist, Iodine Software
  • Ravi Chopra, MD, Clinical and Product Specialist, Iodine Software

Download webinar recording 

 

You May Also Like

Cognitive Emulation: Insights from Iodine Data Scientists

Cognitive Emulation: Insights from Iodine Data Scientists

By Lance Eason, Chief Data Scientist & Jon Matthews, Data Science Manager  Q: Iodine has pioneered a new machine learning ... Read More
Iodine Software Unveils AwareCDI Software Suite to Solve Mid-Revenue Cycle Leakage and Drive Financial Resiliency for Health Systems

Iodine Software Unveils AwareCDI Software Suite to Solve Mid-Revenue Cycle Leakage and Drive Financial Resiliency for Health Systems

JULY 27, 2020 -- AUSTIN, Tx. -- Iodine Software today unveiled its AwareCDI™ Suite for hospitals and health system finance and ... Read More
Machine Learning versus Natural Language Processing: What is the Difference?

Machine Learning versus Natural Language Processing: What is the Difference?

Artificial intelligence is utilized for many use cases across the healthcare industry. However, just as all humans have different cognitive ... Read More

Ready to get started?

Learn More