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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Cardiovascular information systems (CVIS) combine imaging and reporting into one system that allows access across the cardiovascular service line. Here are 7 trends in CVIS according to KLAS.

VIDEO: 7 trends in cardiovascular information systems seen by KLAS

Monique Rasband, vice president of imaging, cardiology and oncology, KLAS Research, explains a few of the key technology trends in cardiovascular information systems (CVIS).

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Transplanted lungs react to COVID in a distinctive way

Clinicians treating COVID-19 patients who have transplanted lungs and lower airway infection should order molecular testing in addition to, or regardless of, imaging findings.

Specialty-specific workflow training could increase radiologist satisfaction with EHRs

Clinicians who receive specialty-specific workflow training are 24 times more likely to agree that the EHR meets their functionality needs, according to a new KLAS report.

Monique Rasband from KLAS Research shares trends in PACS and radiology informatics.

VIDEO: 6 key trends in PACS and radiology informatics observed by KLAS

Monique Rasband, vice president of imaging, cardiology and oncology, KLAS Research, shares some of technology trends observed in radiology PACS and and imaging informatics since 2019.

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For monitoring purposes, AI-aided MRI does what liver biopsy does with less risk, lower cost

Patients with autoimmune hepatitis may be better monitored across disease stages by AI-augmented multiparametric MRI than by liver biopsy, as the imaging has proven less costly and is inherently less risky due to its noninvasiveness. 

On review, popular imaging decision aid earns 1 thumbs-up—with caveats

With 91% sensitivity but only 25% specificity, the tool is worthwhile for clinicians who remain wary of frequent false positives that would send patients with no fractures for unneeded imaging.

Female Medical Research Scientist Working with Brain Scans

Chan Zuckerberg Initiative to help fund repeat imaging of 60,000 patients

The ambitious project seeks to exponentially increase new data within the U.K. Biobank, a prominent large-scale biomedical database and research resource. 

Self-supervised AI ‘reads’ radiology reports to speed algorithm development

A machine learning system has come along that needs no human labeling of data for training yet matches radiologists at classifying diseases on chest X-rays—including some that the model was not specifically taught to detect.

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