- 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.
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.
