“Despite the common discovery of the (incidental lung nodule) ILN, assessment of radiology reports for lung nodule incidence and guideline concordance of recommendations is understudied,” wrote authors of research published in the Journal of the American College of Radiology.

As electronic health records (EHRs) continue to play a huge role for healthcare operators, chief information officers have new concerns and priorities to ensure success. With rising cyberattacks on protected medical information about patients, CIOs are putting more importance on cybersecurity.

The Yale School of Public Health’s Department of Biostatistics has launched a new health informatics division and masters program aimed at using data from electronic health records (EHRs) to advance clinical and public health research.

If some form of practice consolidation is in your radiology practice’s present or future, you should know that many tactical errors are made around the difficulty of sharing information across disparate legacy PACS packages and other peripheral solutions used by newly conjoining practices, departments or organizations. 

Electronic medical records (EMRs) contain mounds of valuable, but unformatted information making it difficult to use as a source for research, wrote first author, Changhwan Lee, with Hanyang University in Seoul, Korea, and colleagues.  AI may be able to solve that problem.

Although online portals allow some patients to easily access their radiology reports, new research published Jan. 8 in the American Journal of Roentgenology found that lumbar spine MRI reports in particular are written at a reading level too advanced for the average patient to comprehend.

The Hospital for Sick Children in Toronto has named Anna Goldenberg, PhD, as its first chair of biomedical informatics and artificial intelligence, the University of Toronto recently announced.

Follow-up recommendations in radiology reports commonly contain little standardization. Machine learning and deep learning methods are each effective for deciphering reports and may provide the foundation for real-time recommendation extraction, according to a recent study in the Journal of the American College of Radiology.