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.

Natural language processing spots reporting gaps, racial bias
Finding such discrepancies is critical to the continuity of patient care, as medical records and reports are often utilized across multiple providers and facilities.
Lung disease reporting system improves consistency—so why is it underutilized?
ILD-RADS was developed to address issues with inconsistency when reading high-resolution CT scans of the lungs in patients with a suspected interstitial lung disease.
ChatGPT both passes and fails at translating free-text into structured reports
While the latest ChatGPT models show promise in easing the reporting burden on radiologists in the future, they aren't up to the task just yet.
GPT-4 spots radiology report errors in less time, at a lower cost
The large language model can identify report errors seven times more quickly than human readers, new study reveals.
Google teams with Bayer to address radiologist burnout via AI
"Gen AI can help tackle repetitive tasks and provide insights into massive datasets, saving valuable time," Thomas Kurian, CEO of Google Cloud, said Tuesday.

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?

February 6, 2023

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.

February 3, 2023

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.

February 3, 2023

AI program ChatGPT now has a published article in Radiology—is it any good?

The human author reviewing the article wrote about the benefits and inherent risks of utilizing AI in a medical publication setting, concluding that, overall, it could be “a powerful tool” used in the future of medical publishing—when used with caution.

February 2, 2023

VIDEO: Who gets sued when radiology AI fails?

Brent Savoie, MD, JD, vice chair for radiology informatics, section chief of cardiovascular imaging, Vanderbilt University, explains who will get sued when there is a misdiagnosis due to artificial intelligence (AI).

February 2, 2023

Example of a cardiovascular information system (CVIS) cath lab reporting module with a coronary tree model that will auto complete sections of the report based on how the cardiologist modifies the model. Image from the ScImage booth at ACC 2022. Photo by Dave Fornell

VIDEO: 4 key trends in cardiovascular information systems, according to Signify Reseach

Signify Research shares the latest big trends in cardiovascular IT systems, including the role of EMR cardiology modules vs. third-party CVIS, structured reporting, integration into enterprise imaging and inclusion of ambulatory surgical centers.

February 1, 2023

The key to AI integration? Keeping it straightforward, says GE HealthCare CMO

“To drive adoption, it is important that the technology designed to help productivity doesn’t add more work and complexity,” Dr. Mathias Goyen, Chief Medical Officer for Europe, the Middle East and Africa (EMEA) at GE HealthCare, told Health Imaging.

January 26, 2023

Contrast-enhanced mammography uses iodine contrast injected into a patient and mammography system to image contrast uptake or areas of increased vascular activity, which is typical of cancers. This can help image through dense breast tissue to find cancers that are otherwise masked by dense breast tissue.

Radiologists should be aware of these clinical factors when reading CEM scans

The degree of background parenchymal enhancement on CEM during certain days of a premenopausal woman's cycle could impact how radiologists interpret the exam.

January 25, 2023

Around the web

Cardiovascular Business

AI improves CT assessments, boosts care for real-world heart patients

Automated AI-generated measurements combined with annotated CT images can improve treatment planning and help referring physicians and patients better understand their disease, explained Sarah Jane Rinehart, MD, director of cardiac imaging with Charleston Area Medical Center.

Cardiovascular Business

AI predicts cardiovascular risk during CT scans—no invasive tests or contrast required

Two advanced algorithms—one for CAC scores and another for segmenting cardiac chamber volumes—outperformed radiologists when assessing low-dose chest CT scans.

Radiology Business

Google teams with Bayer to address radiologist burnout via AI

"Gen AI can help tackle repetitive tasks and provide insights into massive datasets, saving valuable time," Thomas Kurian, CEO of Google Cloud, said Tuesday.