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.

Key trends in enterprise imaging

Radiology is going though a period of disruption with a growing radiologist shortage, decreasing reimbursements and increasing numbers of exams, making workflow efficiency a critical concern.

Cloud-based platforms could expand teleradiology access to tens of thousands of patients in need

Dedicated teleradiology services could expand quality healthcare in regions where access and staffing shortages hinder patient care the most. 

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Siemens Healthineers inks data sharing deal with Blue Earth to bolster development of prostate cancer AI

Blue Earth will be sharing anonymized clinical data from its Phase 3 Lighthouse trial involving the use of PET imaging agent Posluma.

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Point-based risk prediction model reduces prostate biopsies by up to 20%

The model incorporates specific data from MRI exams with patient risk factors to predict whether a person is likely to develop clinically significant prostate cancer.

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Contextualized vs. structured reports—which templates are better?

Contextualized reports differ from structured reports in that they focus on specific clinical indications, rather than a basic standardized checklist of anatomical regions that does not always address a particular concern.

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New publicly available deep learning model for CT organ segmentation in children shows promise

The model was developed and validated specifically for liver, spleen and pancreas segmentation, and outperformed a publicly available segmentation model already in use.

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New research offers reminder of why ChatGPT should not be used for second opinions

Although these tools have proven themselves valuable in numerous settings, they must be used with caution, especially by patients and nonradiologist providers who may be seeking clarification on imaging reports. 

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Reads completed on 'less sophisticated' monitors have radiology group refuting claims of billing fraud in court

The suit claims the group wrongfully billed CMS for over $6 million in image reads that did not qualify for Medicare reimbursement due to the subpar computer monitors used to view the studies.