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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Private equity-backed groups more likely to offer radiologists remote roles

Although teleradiology positions are increasing in number, not all employers are keen on offering remote reading capabilities. 

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Hospital's digital intelligence platform cuts imaging wait times, but with a caveat

The closed-loop digital platform is equipped with an intelligent scheduling algorithm and a dynamic report dispatching system.

Workflow efficiencies and automation enhance newer cardiovascular IT systems

9 ways cardiovascular IT systems can improve your day-to-day workflow

Bringing in a new and improved cardiovascular IT system can save physicians a ton of time and lead to considerable cost savings.

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Radiologists, rad techs, physicists and nuclear medicine urge HHS to fix costly image-sharing processes

Imaging groups recently conveyed their concerns to Health and Human Services in a letter submitted March 16. 

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GE HealthCare finalizes $2.3B Intelerad acquisition

GE previously noted that the acquisition was a reflection of the company’s “continued commitment to cloud-enabled and AI-powered solutions.” 

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AI model could help providers choose more appropriate imaging exams

The model was trained on guideline-adherent data specific to clinical scenarios that would prompt a provider to order medical imaging. 

Umar Ahmed from Signify Research explains key trends in radiology AI.

Radiology AI vendors shift focus to workflow integration and enterprise value

AI in medical imaging market analyst Umar Ahmed from Signify Research explains some of the key trends seen in radiology artificial intelligence. 

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EMR-based framework produces 30% reduction in overnight CT report turnaround times

An academic medical center struggling to meet CT report turnaround time benchmarks was recently able to improve its overnight efficiency by implementing a framework designed to streamline teleradiology requests.