- AI
- Molecular Imaging
- CT
- X-Ray
- Ultrasound
- MRI
- Facility Management
- Mammography
Podcast: Business Intelligence Tools in Radiology
Paul Chang, MD, explains how radiologists are using data analytics and business intelligence to improve efficiency and demonstrate their value in health care.
You can’t improve what you can’t measure, according to Paul Chang, MD, FSIIM, professor and vice chairman of radiology informatics at the University of Chicago School of Medicine, who is speaking at the SIIM 2012 conference in Orlando this week.
In this first part of a two-part podcast series, Chang details why and how radiologists are leveraging business intelligence tools to improve efficiency and quality. He also explains how radiology must look beyond the department and utilize enterprise-wide image management tools to really demonstrate the field’s value and relevance in health care.
The Reading Room: Artificial Intelligence: What RSNA 2020 Offered, and What 2021 Could Bring
December 5th 2020Nina Kottler, M.D., chief medical officer of AI at Radiology Partners, discusses, during RSNA 2020, what new developments the annual meeting provided about these technologies, sessions to access, and what to expect in the coming year.
Current Perspectives on Radiology Workforce Issues and Potential Solutions
March 14th 2024Emphasizing the gravity of the ongoing workforce shortage in radiology, these authors recommend a change agenda focusing on expanded numbers of residency positions, reassessment of educational pathways, maintaining a strong presence in hospital settings and practice level initiatives to reduce administrative burden and achieve appropriate reimbursement beyond RVU measurements.
Could Cloud-Based 'Progressive Loading' be a Boon for Radiology Workflows?
March 13th 2024The newly launched Progressive Loading feature, available through RamSoft’s OmegaAI software, reportedly offers radiologist rapid uploading of images that is faster than on-site networks and other cloud-based systems regardless of the network radiologists are using.
