Radiology departments are adding value to their reports by automating the communication of important findings to referring physicians.
Radiology departments are adding value to their reports by automating the communication of important findings to referring physicians.
"Our work product is not just the pretty pictures we create," said Dr. Dan Cohen, a radiology resident at Massachusetts General Hospital. "It is the interpretation we provide."
Cohen and colleagues developed a system to notify their requesting physicians of urgent findings. The alert is triggered by the radiologist and sent via e-mail to the referring physician. It does not contain the actual exam results but instead provides a link to them, Cohen said.
To avoid desensitizing physicians to the alerts, they are not used for minor findings.
During an eight-month period, radiologists at MGH completed over 390,000 exams and sent 8210 alerts. Over 70% of these were viewed by physicians, but more than 20% of the alerts did not generate return receipts, indicating that physicians may not have opened or received them.
In a survey, physicians listed several reasons for missing the alerts: They had already seen the important finding in the HIS, they had never ordered a particular study, the patient was no longer their patient, or their systems were outside the hospital's firewall.
These missed alerts could be reduced by hiring dedicated personnel to follow up and make sure that physicians receive and respond to them, Cohen said.
Dr. Matthew Morgan of the University of Pittsburgh Medical Center described four different urgency levels used in his department:
The software developed at the institution provides context-specific messaging for each different type of communication, according to Morgan.
"One-size communication does not fit all," he said.
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.