Coder productivity down in wake of ICD-10 transition

As critics predicted, the ICD-10 transition is negatively impacting inpatient and outpatient coder productivity at hospitals of all sizes and types.

Outsourcing vendor HIMagine Solutions has been collecting data on a weekly basis from several clients since the Oct. 1 ICD-10 implementation date. The numbers show significant declines in hospital coder productivity during October compared to AHIMA's ICD-9 productivity standards.

According to the data, large academic facilities are seeing an average of 40 percent reduction in inpatient coder productivity and reductions in outpatient coder productivity ranging from 10 to 35 percent. Large hospitals (over 250 beds) are seeing a 30 to 45 percent decline on the inpatient side and a 20 to 40 percent decrease on the outpatient side.

Community hospitals (under 250 beds) are experiencing inpatient coder productivity reductions of 22 to 33 percent and reductions ranging between 35 and 40 percent on the outpatient side.

 

 

 

Beth Walsh,

Editor

Editor Beth earned a bachelor’s degree in journalism and master’s in health communication. She has worked in hospital, academic and publishing settings over the past 20 years. Beth joined TriMed in 2005, as editor of CMIO and Clinical Innovation + Technology. When not covering all things related to health IT, she spends time with her husband and three children.

Around the web

Compensation for heart specialists continues to climb. What does this say about cardiology as a whole? Could private equity's rising influence bring about change? We spoke to MedAxiom CEO Jerry Blackwell, MD, MBA, a veteran cardiologist himself, to learn more.

The American College of Cardiology has shared its perspective on new CMS payment policies, highlighting revenue concerns while providing key details for cardiologists and other cardiology professionals. 

As debate simmers over how best to regulate AI, experts continue to offer guidance on where to start, how to proceed and what to emphasize. A new resource models its recommendations on what its authors call the “SETO Loop.”