Health IT

Healthcare information (HIT) systems are designed to connect all the elements together for patient data, reports, medical imaging, billing, electronic medical record (EMR), hospital information system (HIS), PACS, cardiology information systems (CVIS)enterprise image systemsartificial intelligence (AI) applications, analytics, patient monitors, remote monitoring systems, inventory management, the hospital internet of things (IOT), cloud or onsite archive/storage, and cybersecurity.

VA hospital representatives in Pacific Northwest select Carestream as their enterprise PACS supplier

Carestream

Carestream has been awarded a multimillion-dollar healthcare IT contract for Veterans Affairs hospitals in the Pacific Northwest region, which includes Washington, Oregon, Idaho, Alaska and parts of Montana.

VA Hospital Representatives in Pacific Northwest Select Carestream as Their Enterprise PACS Supplier

ROCHESTER, N.Y., Jan. 8 — Carestream has been awarded a multimillion-dollar healthcare IT contract for Veterans Affairs hospitals in the Pacific Northwest region, which includes Washington, Oregon, Idaho, Alaska and parts of Montana. Carestream will install its Clinical Collaboration Platform (see video link) throughout VISN 20 healthcare facilities. The implementation of Carestream’s enterprise imaging platform (including Vue PACS, Vue Motion and Vue Archive) will help unify imaging and simplify medical image management.

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How AI can help extract follow-up recommendations from radiology reports

Artificial intelligence (AI) can help providers identify follow-up recommendations in radiology reports, according to new research published by the Journal of the American College of Radiology.

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How a breast imaging center plans to improve patient-centered care

Long wait times can negatively impact patient satisfaction, which then harms the patient-centered, value-based care imaging departments seek to provide. But collecting the necessary data for improvements can be difficult, according to the authors of a case study published in the Journal of Digital Imaging.

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Machine learning approach requires less data to identify follow-up guidance in radiology reports

Follow-up recommendations in radiology reports commonly contain little standardization. Machine learning and deep learning methods are each effective for deciphering reports and may provide the foundation for real-time recommendation extraction, according to a recent study in the Journal of the American College of Radiology.

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Inconsistent imaging: CT radiation doses vary around the world

CT protocols and radiation doses vary significantly across different countries, according to a new study published in the BMJ. The authors added, however, that developing a consistent standard “should be possible.”

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International group announces success of project aimed at improving lung cancer detection

The International Association for the Study of Lung Cancer (IASLC) has announced the completion of an Early Lung Imaging Confederation (ELIC) pilot project designed to improve early lung cancer detection by establishing a large network of shared CT images.

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Breast imaging clinic closely monitors workflow to improve efficiency

A hospital-based breast imaging clinic implemented a real-time location system (RTLS) to track its workflow, learning important information that will lead to better patient care moving forward.