- AI
- Molecular Imaging
- CT
- X-Ray
- Ultrasound
- MRI
- Facility Management
- Mammography
Adding CT contrast policy to EMR enhances safety
Partners Healthcare System in Boston has integrated CT contrast media guidelines into its electronic medical record to encourage physicians to comply with the safety standards and to cut costs for the hospitals in its network.
Partners Healthcare System in Boston has integrated CT contrast media guidelines into its electronic medical record to encourage physicians to comply with the safety standards and to cut costs for the hospitals in its network.
In 2003 Partners' radiology administrative director Kathryn McCullough and members of the Partners CT Contrast Media Team started to assess contrast media administration guidelines and screening procedures for patients at risk for contrast reactions at the system's six hospitals.
After discovering wide variations in policies and procedures, they developed a standard code for contrast media administration plus a patient questionnaire and adverse reaction form, all available through the EMR. The initiative has allowed them to identify patients with a history of prior contrast reactions. The group published its results in the Journal of the American College of Radiology (JACR 2009;6:562-566).
FDA Approves Fluorescence Imaging System for Detecting Residual Breast Cancer
April 18th 2024The combination of the optical imaging agent Lumisight and the fluorescence imaging device Lumicell Direct Visualization System, collectively known as LumiSystem, reportedly offers 84 percent accuracy with real-time detection of residual breast cancer after lumpectomy procedures.
Study of Ofatumumab for Multiple Sclerosis Shows 'Profoundly Suppressed MRI Lesion Activity'
April 17th 2024The use of continuous ofatumumab in patients within three years of a relapsing multiple sclerosis diagnosis led to substantial reductions in associated lesions on brain MRI scans, according to research recently presented at the American Academy of Neurology (AAN) conference.
Could a Deep Learning Model for Mammography Improve Prediction of DCIS and Invasive Breast Cancer?
April 15th 2024Artificial intelligence (AI) assessment of mammography images may significantly enhance the prediction of invasive breast cancer and ductal carcinoma in situ (DCIS) in women with breast cancer, according to new research presented at the Society for Breast Imaging (SBI) conference.
