- 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.
Study: Use of Preoperative MRI 46 Percent Less Likely for Black Women with Breast Cancer
July 11th 2024In the study of over 1,400 women with breast cancer, researchers noted that Black women with dense breasts or lobular histology were significantly less likely to have preoperative MRI exams than White women with the same clinical characteristics.
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.
Envisioning the Ideal Radiology Reading Room: Keys to Optimizing Form and Function
July 2nd 2024Emphasizing core concepts of sound ergonomics, accessibility, inclusivity, personalization, and convenient storage can help foster reading room environments with minimal distraction and optimal productivity.
ACR Collaborative Model Leads to 35 Percent Improvement with Mammography Positioning Criteria
July 1st 2024Noting significant variation with facilities for achieving passing criteria for mammography positioning, researchers found that structured interventions, ranging from weekly auditing of images taken by technologists to mechanisms for feedback from radiologists to technologists, led to significant improvements in a multicenter study.
