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.

AI in healthcare

Most patients want to know if AI is involved in their care

“With this signal about the public’s preference for notification, the question for health systems and policymakers is not whether to notify patients but when and how.” 

Residents' structured reports get boost from software assistance

Structured reporting templates are known to have numerous clinical benefits, but less is known about how these reports can be utilized as training tools for residents.

How AI 'cheating' could impact algorithm reliability

A new study on the implications of AI shortcutting has experts raising concerns about the integration of the technology into medicine.

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Do large language models help or hinder workflows related to radiology reports?

Some have suggested LLMs could reword reports to improve patient comprehension, but whether this is a feasible option remains unknown. 

Telehealth visits not to blame for uptick in imaging orders, study shows

Despite some assumptions that telehealth visits increase the unnecessary utilization of diagnostic services, new data suggest the opposite may be true. 

Radiomics model links brain MRI features with neuropsychological changes in Crohn's disease

Researchers hope their findings can help pave the way for more targeted therapies for individuals with Crohn's disease.

The rapid rise of artificial intelligence (AI) has helped cardiologists, radiologists, nurses and other healthcare providers embrace precision medicine in a way that ensures more heart patients are receiving personalized care.

Up to half of medical organizations either already using or preparing to implement AI

With the number of FDA approved AI-enabled applications nearing 1,000, it’s clear the healthcare industry is ready to embrace the evolving technology.

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Radiology practice's communication failure bears tragic consequences

After looking into the case, officials discovered that a coding error prevented the radiology report, which contained critical findings, from ever being sent to the referring provider.

Around the web

Breast artery calcifications are already visible when radiologists review mammograms, but nothing typically happens with them. Researchers aimed to see if AI could help translate those findings into an easy-to-understand cardiovascular risk score.

Clinicians have been using HeartSee to diagnose and treat coronary artery disease since the technology first debuted back in 2018. These latest updates, set to roll out to existing users, are designed to improve diagnostic performance and user access.

The cardiac technologies clinicians use for CVD evaluations have changed significantly in recent years, according to a new analysis of CMS data. While some modalities are on the rise, others are being utilized much less than ever before.