Enterprise Imaging

Enterprise imaging brings together all imaging exams, patient data and reports from across a healthcare system into one location to aid efficiency and economy of scale for data storage. This enables immediate access to images and reports any clinical user of the electronic medical record (EMR) across a healthcare system, regardless of location. Enterprise imaging (EI) systems replace the former system of using a variety of disparate, siloed picture archiving and communication systems (PACS), radiology information systems (RIS), and a variety of separate, dedicated workstations and logins to view or post-process different imaging modalities. Often these siloed systems cannot interoperate and cannot easily be connected. Web-based EI systems are becoming the standard across most healthcare systems to incorporate not only radiology, but also cardiology (CVIS), pathology and dozens of other departments to centralize all patient data into one cloud-based data storage and data management system.

Enterprise-wide Advanced Visualization: Maximizing Clinical & Business Benefits

New teleradiology solution promises to streamline enterprise imaging operations

Konica Minolta and NewVue announced their collaboration on cloud-based Exa Teleradiology earlier this week.

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HHS penalizes imaging provider for allegedly violating patient privacy laws

San Jose, California-based Vision Upright MRI allegedly failed to properly assess potential cybersecurity threats and did not notify patients in a timely fashion. 

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Radiology group says reporting backlogs climbing to 'worst on record'

The organization cautioned that continuing to outsource exams to teleradiology providers is becoming “financially unsustainable.”

Fine-tuned LLMs show great promise for spotting radiology report errors

Report errors can result in incorrect or delayed diagnoses and significantly impact disease management. 

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Trauma protocol halves the time it takes to get hemorrhage patients in the IR suite

Interventional radiologists play a crucial role in stopping or controlling bleeding in these patients, but their effectiveness is often hindered by time.

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Predictive model cuts back on unnecessary imaging requests for headaches in the ED

Headaches are a common complaint among patients presenting to the emergency department, with millions of cases documented annually in the United States. 

AI healthcare doctor surgery procedure artificial intelligence

First-of-its-kind framework monitors real-time performance of radiology AI tools

The program provides detailed assessments of how algorithms implemented into workflows are impacting efficiency and outcomes. 

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Philips announces strategic partnership aimed at advancing AI in MRI

The collaboration with Nvidia—a leader in AI solutions—was unveiled Monday during the International Society for Magnetic Resonance in Medicine's annual meeting.