- AI
- Molecular Imaging
- CT
- X-Ray
- Ultrasound
- MRI
- Facility Management
- Mammography
Mining Practice Operational Data in Less Traditional Ways
Video: Radiology groups might be surprised at how much operational data is available. Regents Health Resources’ Brian Baker talks less-obvious ways to compare data.
Mining operational data can help a radiology practice identify areas for improved efficiency. But where does all that data come from?
“It’s coming from your systems today,” said Brian Baker, president of Regents Health Resources.
You might be surprised just how much data you have available to you, and what it can reveal when compared in less-obvious ways, Baker said.
For example, practices usually analyze procedures that were billed compared with payment collected. But comparing what was performed with what was billed can reveal even more insights, he said. By measuring traditionally integrated systems against each other, even more data and analysis becomes available.
In this video, Baker discusses where the practice operational data comes from and the less obvious ways to analyze the data.
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.
