- AI
- Molecular Imaging
- CT
- X-Ray
- Ultrasound
- MRI
- Facility Management
- Mammography
11 Principles of Successful Labor Management in Radiology
Labor management in radiology has a direct effect on profitability, is your group successful at managing labor?
WASHINGTON, D.C.-Research shows that estimates of cost inefficiency in healthcare range from $700 to more than $1 trillion, Bill Lammers, national director of labor management, Premier Inc., said at AHRA 2014.With lower reimbursement and more money at risk, more and more organizations need to put procedures in place to maintain profitability, Lammers said. Labor is the largest component of hospital costs, accounting for 60 percent of net revenue, he said.The ability to effectively manage labor is a discipline, not a project, Lammers said. Lammers identified 11 principles needed for effective labor management. He emphasized the need for benchmarking and understanding that labor management was a journey, not a goal. Check out the slideshow to see what Lammers outlined as keys to effective labor management in radiology.
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.
