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.

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The elusive economics of enterprise imaging

What should radiology be expending, in manpower as well as money, to help make medical imaging accessible to and from every clinical department? And what’s in enterprise imaging for radiology, anyway?

Radiologists say report automation saves time, improves accuracy, reduces fatigue

Most radiologists believe report automation has a significant impact on the quality of their radiology reports, according to a new study published in Current Problems in Diagnostic Radiology. Automation has become more common, the authors explained, due to more radiology departments going “all-digital” and the integration of RIS, PACS and reporting systems.

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Protecting patients in the age of big data, AI: 3 things radiologists should consider

As radiology continues to embrace big data and artificial intelligence (AI), specialists can’t forget that they are still responsible for the safety and well-being of their patients, according to a new analysis published by the Journal of the American College of Radiology.

lifeIMAGE Launches Clinical Connector, Increasing Healthcare Interoperability to Benefit Patients, Hospitals and Radiologists

Advanced vendor-neutral and standards-based application enables access to clinical information and medical images to create a connected view of patient information

INFINITT PACS ranked #1 PACS Community and #1 PACS Imaging Centers/Ambulatory Categories in 2018 Best in KLAS report

Phillipsburg, NJ--The 2018 Best in KLAS Awards: Software and Services report, published January 30, 2018, ranks healthcare IT vendors and their solutions on customer satisfaction based on hundreds of interviews with healthcare providers. In this year’s report, INFINITT PACS ranked #1 in PACS Community and #1 in PACS Imaging Centers/Ambulatory categories.

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Informatics consults connect providers to clinical evidence, thorough analysis

Healthcare providers often need a lot of information in very little time, making it hard to provide value-based care to their patients. One potential solution to such scenarios, according to a new analysis published in the Journal of the American College of Radiology, is an informatics consult.

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Lung-RADS provides radiologists performing LDCT with consistency, fewer false positives

To ensure structured reporting for the clinical reporting of lung cancer screening with low-dose CT (LDCT), the American College of Radiology (ACR) introduced the Lung CT Screening Reporting and Data System (Lung-RADS).

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Do interventional radiologists prefer structured or free-text reports?

Using structured reports in interventional radiology (IR) is preferred by radiologists and referring physicians, according to a new study published in the Journal of Vascular and Interventional Radiology.

Around the web

News of an incident is a stark reminder that healthcare workers and patients aren’t the only ones who need to be aware around MRI suites.

The ACR hopes these changes, including the addition of diagnostic performance feedback, will help reduce the number of patients with incidental nodules lost to follow-up each year.

And it can do so with almost 100% accuracy as a first reader, according to a new large-scale analysis.