- AI
- Molecular Imaging
- CT
- X-Ray
- Ultrasound
- MRI
- Facility Management
- Mammography
Protect Patient Privacy When Using Benchmarking Data
Video: Collecting radiology practice benchmarking data comes with the responsibility to protect sensitive patient information. Brian Baker, of Regents Health Resources, explains how.
Data, data, data - it’s becoming increasingly more integral to running an efficient radiology practice. Operations data, such as reimbursement and utilization information, can help practices improve their performance and gain an edge in the marketplace.
But the systems designed to collect and make this data readily accessible can include sensitive patient information, putting practices at risk. Protecting patient information is a big issue for practices, said Brian Baker, president of Regents Health Resources.
“There are ways to benchmark your business and share important information without revealing the protected patient information,” Baker said.
In this video, Baker explains how to ensure your practice and data providers are following HIPPA protocols to protect sensitive patient information.
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.
