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White House readies $1.2 billion in HIT grants
Other headlinesFDA to revise medical device reporting
White House readies $1.2 billion in HIT grants
Nearly $1.2 billion in grants will be available next year to encourage hospitals and healthcare providers to adopt electronic medical records, according to a Reuters news report today. About $600 million will be set aside to establish 70 healthcare information technology centers to assist in the adoption of EMRs. The remainder will be put toward developing a nationwide system of HIT networks. The grants will be funded through the American Recovery and Reinvestment Act of 2009.
FDA to revise medical device reporting
Proposed changes in an FDA guidance for reporting medical device failures will require the electronic submission of these reports. Comments regarding the proposed changes, publicly released Aug. 20, must be received by the agency within 90 days. The guidance provides general information about how to prepare and send an electronic postmarket medical device report to the FDA’s Center for Devices and Radiological Health. The guidance does not address reports regarding adverse events associated with devices subject to an approved investigational device exemption or reports submitted for postapproval studies.
Study Reaffirms Low Risk for csPCa with Biopsy Omission After Negative Prostate MRI
December 19th 2024In a new study involving nearly 600 biopsy-naïve men, researchers found that only 4 percent of those with negative prostate MRI had clinically significant prostate cancer after three years of active monitoring.
Study Examines Impact of Deep Learning on Fast MRI Protocols for Knee Pain
December 17th 2024Ten-minute and five-minute knee MRI exams with compressed sequences facilitated by deep learning offered nearly equivalent sensitivity and specificity as an 18-minute conventional MRI knee exam, according to research presented recently at the RSNA conference.
Can Radiomics Bolster Low-Dose CT Prognostic Assessment for High-Risk Lung Adenocarcinoma?
December 16th 2024A CT-based radiomic model offered over 10 percent higher specificity and positive predictive value for high-risk lung adenocarcinoma in comparison to a radiographic model, according to external validation testing in a recent study.
