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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Natural language processing generates CXR captions comparable to those from radiologists

Recent developments in NLP technology have improved its ability to recognize semantics and context, making it more likely that NLP could generate coherent medical reports without radiologist assistance. 

Sectra reinforces top standing among PACS suppliers recognized by KLAS; Fujifilm stays strong with VNA

Healthcare research outfit KLAS is out with its 2023 Best in KLAS awards recognizing excellence in healthcare software and services, and the Sweden-based imaging IT and cybersecurity company Sectra tops the field of U.S. PACS vendors—again.  

Which risk stratification system is best for classifying thyroid nodules?

A new analysis compared the results of 39 published studies and nearly 50,000 patient cases to rank the performances of six different thyroid nodule stratification systems.

Appearances can be deceiving on chest CT performed for COVID in cancer patients

In a study of more than 250 COVID-positive patients with a history of any cancer, fewer than half the cohort had chest CT findings deemed typical for COVID-related pneumonia based on an RSNA classification guide. 

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Amyloid plaque patterns on PET imaging predict Alzheimer's progression in asymptomatic patients

Experts involved in the new research suggest that identifying these spatiotemporal variations could play an important role in clinical research and precision medicine. 

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6 tips for integrating NPPs into imaging practice

The role of non-physician practitioners will inevitably continue to grow in healthcare, but how will their presence impact radiology?  

An example of an FDA cleared radiology AI algorithm to automatically take a cardiac CT scan and identify, contour and quantify soft plaque in the coronary arteries. The Cleerly software then generates an automated report with images, measurements and a risk assessment for the patient. This type of quantification is too time consuming and complex for human readers to bother with, but AI assisted reports like this may become a new normal over the next decade. Example from Cleerly Imaging at SCCT 2022.

Legal considerations for artificial intelligence in radiology and cardiology

There are now more than 520 FDA-cleared AI algorithms and the majority are for radiology and cardiology, raising the question of who is liable if the AI gets something wrong.

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Referring providers want virtual consultations with radiologists

Virtual consultations help diminish the effects of reading room “chaos” owed to frequent interruptions, which can occur up to 27 times per hour for radiologists.

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