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InteleConnect Referring Physician Portal Distributes Radiology Images and Reports With Style
(Press Release) Intelerad’s mobile-friendly and brandable web solution features fast delivery of radiology results with zero download and no training required
Intelerad® Medical Systems today announced the availability of its InteleConnect™ Referring Physician Portal. InteleConnect helps leading radiology providers stand out by delivering faster, more complete results to their referrers.
Accessible from any computer, smart phone, or tablet device, InteleConnect is a browser-based solution that does not require any training or installation of software: significantly reducing administrative and IT support work traditionally involved in results distribution. InteleConnect is also secure and HIPAA compliant, with reliable and encrypted communication of radiology results to any location, from patient bedside to home office.
Designed for busy physicians, InteleConnect is tailored to their needs: providing media-rich reports, interactive 2D and 3D key images, access to entire study, patient search, email notifications, critical results acknowledgement, status updates of imaging orders, and access to past patient results.
Ideal for promoting brand awareness, InteleConnect offers premium placement of the radiology provider’s name and logo. InteleConnect provides Intelerad’s hospital, imaging center, teleradiology and radiology group customers with a remarkable solution that reflects the quality of their service offering.
Intelerad will be showcasing InteleConnect, Multi-Method Reporting™ and other new IntelePACS 4.3 technology advancements at the upcoming SIIM show in Washington, DC starting on June 2, 2011, at booth number 814.
To see the InteleConnect video, visit Intelerad’s InteleConnect web page.
Deep Learning Detection of Mammography Abnormalities: What a New Study Reveals
June 19th 2023In multiple mammography datasets with the original radiologist-detected abnormality removed, deep learning detection of breast cancer had an average area under the curve (AUC) of 87 percent and an accuracy rate of 83 percent, according to research presented at the recent Society for Imaging Informatics in Medicine (SIIM) conference.
Detecting Intracranial Hemorrhages: Can an Emerging AI Advance Have an Impact?
June 9th 2022A 3D whole brain convolutional neural network could provide enhanced sensitivity and specificity for diagnosing intracranial hemorrhages on computed tomography, according to new research presented at the Society for Imaging Informatics in Medicine (SIIM) conference in Kissimmee, Fla.
