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Cloud-based imaging: The new catalyst for healthcare transformation

AuntMinnie

When it comes to medical imaging, radiology is what most often comes to mind, and for good reason. A large percentage of medical imaging created by most hospitals tends to come from the radiology department. In most cases, medical images and scans are placed into an electronic medical record (EMR) as a link.

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Beware barriers to the assessment of cancer patient financial hardship

AuntMinnie

The financial hardship screening protocol consisted of asking patients questions about social determinants of health and entering their answers into the electronic medical record, sending patients experiencing financial hardship to a social worker for needs assessment, and referring patients to appropriate resources to address their needs.

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Automated protocoling algorithm reduces radiologist CT workload

AuntMinnie

An automated protocoling algorithm used with a hospital's electronic health record (EHR) software reduces radiologist CT exam workload, a research team from Massachusetts General Hospital in Boston has reported. The findings could make busy radiology departments more efficient, wrote a team led by Ryan Chung, MD.

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Key interventions cut delays for MRIs performed on sedated patients

AuntMinnie

A team led by Aric Lee, MBBS, of National University Hospital in Singapore found that relatively straightforward initiatives such as workflow standardization and preadmission patient counseling cut delays for these types of exams by more than 30%. The hospital performs 32,000 MRI exams per year.) Of these, 88.7%

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HIMSS and Korean Health Information Service Sign Memorandum of Understanding on Electronic Medical Record Adoption at HIMSS 2024

Imaging Technology

According to HIMSS, the MOU establishes a three-year collaborative relationship between HIMSS and the Republic of Korea for Electronic Medical Record adoption in hospitals throughout the country. For his part, Lim said the collaboration with a healthcare IT leader will help his country achieve EMR standards nationwide.

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ChatGPT identifies incidental CT findings

AuntMinnie

A team led by Rajesh Bhayana, MD, from Toronto General Hospital in Canada found that the large language model achieved a perfect F1 score for incidental adrenal nodules and highlighted that their results show that such models can be applied flexibly in medical settings. for new adrenal nodules.

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Biomarker model predicts breast cancer risk without racial bias

AuntMinnie

The findings offer another way to foster breast cancer early detection, improve patient survival rates across different populations, and reduce disparity in survival rates, said study lead author Leslie Lamb, MD, of Massachusetts General Hospital (MGH) in Boston in a statement. “In Image and caption courtesy of RSNA.