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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Cardiology group hit by cyberattack, exposing data of nearly 182,000 patients

Patient names, addresses, social security numbers and even medical histories were exposed as a result of the attack, which went unnoticed for more than two months. 

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How EHR training can reduce physician turnover

A new KLAS report offers detailed insight into how physician interactions with electronic health records systems can improve turnover rates.

Radiology IT expert Rik Primo discusses trends he sees in imaging informatics at HIMSS and RSNA.

3 key radiology IT systems trends 

Imaging IT expert Rik Primo discusses emerging issues he saw at RSNA and HIMSS.

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Closed-loop communication tool improves value of radiologists' recommendations

Patients might sometimes undergo unnecessary and costly evaluations when specialists do not provide referrers with all of the necessary information. 

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Clinics tap GPT-4 to ease charting burden, improve patient care

The hope is that the GPT-4-based notes assistant will ease the burden of manual charting on physicians while also offering patients more personalized visit summaries, Carbon Health announced June 5. 

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ChatGPT effectively simplifies radiology reports, presents 'real opportunity' to better inform patients

Radiology reports are typically written in language well above the average American adult’s eighth grade reading level, making them a source of confusion for patients.

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Do clinicians want radiologists' management advice? Interviews shed some light on 'unwanted' recommendations

Clinicians only want the information they need to make treatment decisions, rather than advice on what actions they should take, the survey found. 

artificial intelligence robot evaluates healthcare data

‘AI doctor’ reads radiology reports, other physician notes to predict patient outcomes

"Large language models make the development of ‘smart hospitals’ not only a possibility, but a reality,” said Eric Oermann, MD, an assistant professor in NYU's Department of Radiology.