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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FDA assisting with new imaging 'marketplace' designed to improve AI

The Advanced Research Projects Agency for Health has launched a survey for stakeholders to provide input on the project’s development.

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This week in the Change Healthcare situation: A recap and update in 10 notable quotes

‘I have all kinds of nightmare scenarios playing out in my head, like how am I going to pay my bills?’

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Hospital system data sharing initiative leads to 80% of patients accessing their imaging records

The change was made to comply with the information blocking rule in the 21st Century Cures Act.

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Aycan introduces a 'mini' PACS for independent practices

The enterprise imaging system is equipped with basic features for storage and sharing, with the option to upgrade.

ChatGPT large language models radiology health care

Large language models excel at simplifying radiology reports

Yale scientists sought to gauge how LLMs such as ChatGPT-3.5/4, Google’s Bard (now known as Gemini) and Microsoft Bing could improve readability. 

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Medical image-sharing startup PocketHealth raises $33M in series B financing

Round13 Capital and the investment arms of Samsung and Deloitte all pitched in, with the company using the money to double its workforce within the next two years.

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This week in the Change Healthcare hack fallout: 10 notable quotes

“ALPHV/BlackCat and their affiliates haven’t attacked Change Healthcare. This time, they’ve attacked our families.”

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Novel workflow automatically integrates AI results into structured radiology reports

German experts detailed their experience with the “AI to SR pipeline” in an analysis published in Insights into Imaging