August 11, 2017
A new study by the Harvey L. Neiman Health Policy Institute™ found that in the Medicare population, the utilization rates have increased in both volume and per beneficiary over the past two decades for the four most common musculoskeletal extremity imaging modalities. Read More
August 8, 2017
According to a new Harvey L. Neiman Health Policy Institute™ study, patient condition complexity and subspecialization are primary factors affecting radiologist services list price variation. Read More
August 3, 2017
According to a new Harvey L. Neiman Health Policy Institute study, vertebroplasty utilization by practitioners, including radiologists, substantially decreased beginning in 2009 with the publication of studies calling the benefits of vertebroplasty into question. Read More
July 5, 2017
The Harvey L. Neiman Health Policy Institute has updated the Radiologist Patient-Facing Dataset (RPFD) with 2015 Centers for Medicare and Medicaid Services (CMS) data. This free resource allows radiologists to determine if they would be designated as patient-facing by CMS. Read More
May 22, 2017
A new, free Breast Screening Bundle Tool allows radiology practices to develop bundled payment models for breast cancer screening by estimating professional, technical and global bundled prices, depending on service utilization and reimbursement rates. Read More
May 21, 2017
According to a new study, diagnostic radiologists on average serve more unique Medicare beneficiaries each year than any other specialty. Read More
April 20, 2017
The Harvey L. Neiman Health Policy Institute has released its 2016 annual report. Read More
April 12, 2017
A new study found that utilization of chronic venous insufficiency procedures in the Medicare population increased markedly from 2005 through 2014. Read More
March 20, 2017
A new study presents initial validation of a novel payer claims-based system using imaging examination modality and body region for classifying radiologists’ subspecialty. Read More
March 13, 2017
A new research study assesses relationships between county-level variation in Medicare beneficiary imaging resource consumption and measures of population economic status. Read More