Imaging

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.

Cloud tools together with AI and ML are transforming medical imaging. These solutions are empowering healthcare organizations to solve urgent radiology challenges like data accessibility, compliance, costs, and operational inefficiencies.

Many enterprise imaging systems are designed to support clinical use. However, using data from imaging studies can be more complex in light of the requirements for research work. Host Brian Green and Elijah Rockers, Application Analyst from Houston Methodist, discuss the challenges of using enterprise data configured for clinical use in research studies and AI.

As more healthcare organizations move to the cloud, some organizations still have concerns about cloud migration. Host Brian Green and NetApp’s Chief Innovation Officer for Healthcare, Kim Garriott, debunk the myths that still surround the cloud and talk about how the cloud can benefit healthcare organizations’ enterprise imaging strategies.

Medical imaging is experiencing a transformative boost in its capabilities thanks to the power of AI. Watch this podcast to learn how enterprise imaging as a whole is being impacted by new technology that is unlocking and connecting imaging data like never before.

Advancements in Point-of-Care ultrasound technology has opened up new possibilities in clinical settings for patients and doctors. The ability to quickly capture and access medical imaging data means properly managing that data is more important than ever. Check out this podcast for expert perspective on challenges and next steps in the field.

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.