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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Shifting to subspecialty-based radiology reporting significantly improves turnaround time

The gains were particularly notable in MRI and conventional radiography and at smaller hospitals, experts reported in Insights into Imaging. 

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Hospital promises change after physician reads wrong CT scans, leading to 28-year-old patient’s death

Queen Elizabeth Hospital is now in the process of purchasing a new PACS system to reduce some unnecessary manual steps. 

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3 steps for succeeding at imaging innovation in your radiology practice

Innovation is crucial to the evolution of radiology, but trailblazers who take shortcuts will be left disappointed, experts advised. 

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Structured oncology reporting for follow-up imaging of metastatic cancer patients scores high marks

This more uniform method of reporting has now become the "backbone of oncological imaging" at one high-volume cancer center. 

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Providing plain language and context in spine imaging reports helps drop opioid prescriptions

The intervention is inexpensive and simple to replicate, UW Medicine experts explained in JAMA Network Open. 

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RSNA offering cash, massive dataset for AI solutions to tackle pulmonary embolism

The Radiological Society of North America launched its fourth annual artificial intelligence challenge, hoping to help docs detect and characterize the condition. 

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New liability concerns emerge for radiologists who have used patient images in presentations

Recent updates to search engines such as Google and Bing may expose imaging data previously thought to be anonymous, ACR, RSNA and SIIM warned. 

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How one radiology department ‘recovered wisely’ to bounce imaging numbers back near pre-COVID levels

University of Cincinnati Health has deployed a data-driven, team-based approach to resuming nonurgent radiology services after it sustained a “sharp,” systemwide decrease in the spring. 

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