- AI
- Molecular Imaging
- CT
- X-Ray
- Ultrasound
- MRI
- Facility Management
- Mammography
Podcast: Business Intelligence Tools in Radiology
Paul Chang, MD, explains how radiologists are using data analytics and business intelligence to improve efficiency and demonstrate their value in health care.
You can’t improve what you can’t measure, according to Paul Chang, MD, FSIIM, professor and vice chairman of radiology informatics at the University of Chicago School of Medicine, who is speaking at the SIIM 2012 conference in Orlando this week.
In this first part of a two-part podcast series, Chang details why and how radiologists are leveraging business intelligence tools to improve efficiency and quality. He also explains how radiology must look beyond the department and utilize enterprise-wide image management tools to really demonstrate the field’s value and relevance in health care.
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.
