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Cloud-based imaging: The new catalyst for healthcare transformation

AuntMinnie

Given that radiology is such a crucial tool for medical professionals, it makes sense that the images should be stored in an interoperable format, and easily accessible across departments. In most cases, medical images and scans are placed into an electronic medical record (EMR) as a link.

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ARRS: Dartmouth poster wins for CVD risk prediction potential using mammograms

AuntMinnie

The research included 1,216 women (40-75 years) without known coronary artery disease who had a routine screening mammogram and cardiovascular risk factors available in the electronic medical record within one year of the index mammogram (January 1, 2011 to December 31, 2012).

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Patient access to imaging reports faster post-Cures Act enactment

AuntMinnie

Researchers led by Nelly Tan, MD, from the Mayo Clinic in Phoenix, AZ, also found that after implementing institutional policies to comply with the act’s information-blocking provisions, more patients accessed their reports before the ordering provider did.

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Standardized reporting categorizes breast cancer detection methods

AuntMinnie

Alan Zhu from the Mayo Clinic in Phoenix, AZ, and colleagues determined that such a system led to high reporting accuracy at a sustained rate that improved over time. For the standardized system, radiologists were asked to research the electronic medical record and categorize the method of detection for each breast finding undergoing biopsy.

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Key interventions cut delays for MRIs performed on sedated patients

AuntMinnie

The group -- which included radiologists, MRI technologists, radiology and outpatient clinic nursing staff, anesthesiologists, and a pediatrician -- identified particular stages in the imaging process where delays could occur. The hospital performs 32,000 MRI exams per year.)

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Deep 6 AI partners with Graticule to relieve EMR data mining burdens

AuntMinnie

Deep 6 AI has partnered with Graticule to design research algorithms and real-world data services for identifying and prioritizing patients for clinical trials across different disease indications.

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Biomarker model predicts breast cancer risk without racial bias

AuntMinnie

The investigators used patient demographic data taken from electronic medical records and identified instances of cancer from a regional tumor registry. Senior author Constance Lehman, MD, PhD, of Harvard Medical School in Boston said the team is poised to translate these findings into improved clinical care for patients.