Imaging

"Both the image and the report have to be available to anyone involved in the care of the patient, at any time from anywhere – including the patient," says the health system's chief health informatics officer Dr. David Kaelber in a HIMSS25 preview.

Using artificial intelligence in radiology for the first time can be daunting, says one AI and imaging expert in a preview of his HIMSS25 session, but the advantages are substantial.

The joint research program will focus on advancing the diagnosis and treatment of neurodegenerative diseases and cancer, two of the most life-threatening and prevalent worldwide.

Artificial intelligence can boost efficiency of imaging providers and support roles that offer greater provider productivity, says The Gordian Knot Group's Dawn Cram, who offers a preview of her HIMSS25 session on the subject.

Healthcare providers and IT vendors in the region have weighed in with their predictions for healthcare technology in the new year.

Healthcare providers choose PACS and VNA solutions for their ability to support day-to-day clinical operations.  They also use these systems to archive millions of older studies, most of which are out of clinical life cycle.  The need to migrate immense volumes of image data into a new PACS or VNA can be a significant barrier to changing systems.  

Oklahoma Cancer Specialists and Research Institute offers a case study in selecting and implementing information technology for the Radiation Oncology Alternative Payment Model.

While traditionally deeply skeptical of artificial intelligence in clinical settings, in today's fast-changing care delivery landscape many physicians are thinking more proactively about how AI can improve quality and patient experience.

CMS requirements for approved clinical decision support mechanisms could cause extra burden and more keystrokes for physicians attempting to meet appropriate use criteria.