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.

Artificial intelligence automated measurements on an echocardiogram on the Siemens SyngoDynamics cardiovascular imaging and information solution. AI is helping speed workflows and complete tedious tasks faster and more accurately that humans, allowing sonographers and cardiologists to be more efficient. Photo by Dave Fornell

AI technologies to be featured heavily at ASE 2023

Artificial intelligence will be one of the hottest topics at the upcoming American Society of Echocardiography meeting in National Harbor, Maryland. 

Radiology IT expert Rik Primo explains issues with interfacing EMR data into radiology PACS. #interoperability #PACS

Improving interoperability between the PACS and EMR

Radiologists need better access to patient data stored in the electronic medical record, imaging IT expert Rik Primo explains. 

Radiology IT expert Rik Primo discusses trends he sees in imaging informatics at HIMSS and RSNA.

3 key radiology IT systems trends 

Imaging IT expert Rik Primo discusses emerging issues he saw at RSNA and HIMSS.

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Closed-loop communication tool improves value of radiologists' recommendations

Patients might sometimes undergo unnecessary and costly evaluations when specialists do not provide referrers with all of the necessary information. 

ChatGPT chatbot

ChatGPT effectively simplifies radiology reports, presents 'real opportunity' to better inform patients

Radiology reports are typically written in language well above the average American adult’s eighth grade reading level, making them a source of confusion for patients.

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Do clinicians want radiologists' management advice? Interviews shed some light on 'unwanted' recommendations

Clinicians only want the information they need to make treatment decisions, rather than advice on what actions they should take, the survey found. 

artificial intelligence robot evaluates healthcare data

‘AI doctor’ reads radiology reports, other physician notes to predict patient outcomes

"Large language models make the development of ‘smart hospitals’ not only a possibility, but a reality,” said Eric Oermann, MD, an assistant professor in NYU's Department of Radiology. 

Radiologist-recommended testing for primary hyperparathyroidism improves diagnosis

Biochemical evaluation for patients with incidentally detected enlarged parathyroid glands can prompt earlier diagnosis, according to new data in the American Journal of Roentgenology