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.

Are LLMs ready for radiology? Research reveals how chatbots' performance has evolved over time
Large language models have shown great potential in medical imaging, but their success has been hindered by their wavering effectiveness. Now, nearly three years after ChatGPT's release, experts are sharing new insights.
ACR expands programs to help radiology practices integrate and trust AI
CEO Dana Smetherman, MD, MPH, MBA, explains American College of Radiology efforts to help members understand and enable easier integration of artificial intelligence.
Short-term breast cancer risk prediction improves when AI combines imaging with personal info
Understanding which women have the greatest short-term risk could enable providers to implement targeted screening strategies to ensure malignancies are caught at the earliest possible stage.
Primary care providers embrace AI-generated imaging results explanations
Stanford Health Care has developed an electronic health record-integrated tool for helping draft comments on radiology, pathology and lab findings.
Radiology department adopts new incidental findings approach that’s closing cases at a 99% clip
Researchers with Northwestern University in Chicago detailed their novel system in an analysis published by the Journal of the American College of Radiology.

radiology reporting EHR health record CDS AUC

Are video radiology reports the wave of the future?

Video reports could play an important role in increasing radiologists’ roles in patient-centered care, experts have suggested.

Imaging shows COVID vaccines effective at warding off pulmonary embolism

Researchers have found the condition significantly less among patients who received at least two doses of a COVID vaccine.

AI aids coma prognostics, potentially averting withdrawal of care

Deep learning has bested experienced neurosurgeons at predicting poor outcomes, including mortality, among patients admitted comatose with severe traumatic brain injuries.

The American Society of Nuclear Cardiology (ASNC) is asking Congress to repeal the appropriate use software provision mandate, which physicians say is an obstacle to efficient care.

VIDEO: Imaging societies ask Congress to repeal appropriate use decision support mandate

Randall Thompson, MD, immediate past president of the American Society of Nuclear Cardiology (ASNC), explains the current ASNC lobbying efforts.

Radiology departments are adapting to offer inclusive environments for transgender individuals

Most radiological hardware and software systems now offer gender options beyond female/male classification, a recent analysis shows.

Explainable AI model accurately auto-labels chest X-rays from open access datasets

A model that can achieve accuracy in line with that of radiologists when labeling open-access datasets could be a key factor to overcoming limitations of artificial intelligence implementation, researchers explained in Nature Communications.

Significant disparities exist in utilization of self-scheduling radiology exams, research shows

Researchers revealed that less than 1% of more than 46,000 patients took advantage of online self-scheduling tools.

Lack of diverse datasets in AI research puts patients at risk, experts suggest

Homogenous datasets can create unintended research bias that hinders the clinical efficacy of AI applications, experts recently explained in PLOS Digital Health.

Enterprise Imaging

Are LLMs ready for radiology? Research reveals how chatbots' performance has evolved over time

ACR expands programs to help radiology practices integrate and trust AI

Short-term breast cancer risk prediction improves when AI combines imaging with personal info

Primary care providers embrace AI-generated imaging results explanations

Radiology department adopts new incidental findings approach that’s closing cases at a 99% clip