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.

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Unprotected: Servers expose medical images, data of millions of Americans

Nearly 200 unprotected computer servers full of medical data have been identified throughout the United States. The discovery, part of a new report from ProPublica and Bayerischer Rundfunk, covers the data of more than 5 million Americans.

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Investigation finds millions of medical images left unsecured online

Medical images and data from more than five million patients in the U.S. are left unsecured and vulnerable on the internet, according to an investigative report published Sept. 17 by ProPublica and German public broadcaster Bayerischer Rundfunk.

FUJIFILM UPGRADES NEXT-GENERATION SYNAPSE CARDIOLOGY PACS

FUJIFILM Medical Systems U.S.A., Inc., a leading provider of Enterprise Imaging and Medical Informatics solutions, has just launched Synapse Cardiology PACS 5.6.1, the company’s next-generation server-side rendering solution to help streamline image review and reporting across cardiovascular modalities. 

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Zebra Medical Vision, Medsynapic begin new AI partnership

Zebra Medical Vision has announced a new partnership with Medsynapic Pvt Ltd, a healthcare IT company based out of Pune, India.

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4 important steps when implementing standardized imaging protocols

Standardized imaging protocols can help healthcare providers deliver high-quality care at a consistent rate, but getting everyone on the same page is often challenging.

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Researchers test, validate AI to detect pulmonary nodules on chest x-rays

A team of researchers from Taiwan performed a first-of-its-kind external validation of four AI algorithms used to detect pulmonary nodules in chest x-rays, sharing their results in Clinical Radiology. The classifiers could help radiologists improve medical imaging care as a whole.

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RI-RADS would let radiologists grade physicians' imaging orders

When physicians place orders for imaging examinations, they often leave out key information that could help the radiologist provide better patient care. The authors of a new analysis published in the European Journal of Radiology have proposed a standardized grading system, the Reason for exam Imaging Reporting and Data System (RI-RADS), that could combat this issue.

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AI tracks when radiology reports include follow-up recommendations

Natural language processing (NLP) and machine learning can help track when free-text radiology reports include follow-up imaging recommendations, according to a new study published in the Journal of Digital Imaging.