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 systems, artificial 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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Health tech experts view Amazon as a major threat

Amazon is viewed as the biggest threat to health systems’ core business in 2023, according to more than half of health tech experts who were recently surveyed.

Lack of transparency in AI research limits reproducibility, renders work 'worthless'

A recent analysis found that a significant amount of studies do not provide information pertaining to their raw data, source code or model. As a result, up to 97% of these studies do not produce systems that are fit to be used in real-world clinical scenarios. 

The American Hospital Association (AMA) is warning healthcare systems the Russians may attempt cyber attacks amid rising tensions of the war in Ukraine and the international community's response. #Ukraine #warinukraine #ukrainewar

Data breach may have exposed Medicare patient data

The breach may involve Medicare beneficiaries’ personally identifiable information (PII) and/or protected health information (PHI).

An example of artificial intelligence (AI) automated detection of a intracranial hemorrhage (ICH) in. a CT scan used to send alerts to the stroke acute care team before a radiologist even sees the exam. Example shown by TeraRecon at RSNA 2022.

VIDEO: Radiology AI aids acute care and other departments

Sanjay Parekh, PhD, senior market analyst with Signify Research, explains how some radiology AI is being adopted outside of radiology departments to improve care.

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This is Enterprise Imaging

Sponsored by Sectra

In this interactive ebook, we bring together stories, interviews, webinars, podcasts, case studies and white papers that shine light on how enterprise imaging is making care more insightful, efficient, effective, collaborative, robust, cloud-enabled and even more affordable.

radiology reporting EHR health record CDS AUC

Follow-up care improves with reporting template for incidental findings

Use of the template, which included PCP notifications, also resulted in an increase of biochemical testing, follow-up imaging and specialist referrals in patients with incidental adrenal masses.

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Millions will lose Medicaid coverage when COVID-19 PHE ends

The PHE has been in effect since the early days of the pandemic, and it has been reaffirmed every 90 days since. CMS has indicated it will give healthcare stakeholders at least 60 days’ notice before winding down the PHE.

Example of AI automated detection and highlighting of critical lung findings on a chest X-ray for a possible lung cancer nodule and fibrosis. Example shown by AI vendor Lunit.

VIDEO: Radiology AI trends at RSNA 2022

Sanjay Parekh, PhD, senior market analyst with Signify Research, discusses trends in radiology AI seen on the expo floor and in sessions at RSNA 2022.

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