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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Roche, Ibex Medical Analytics and AWS partner for better cancer diagnostics

The three companies are partnering to bring AI tools to Roche’s digital pathology platform to streamline cancer diagnoses.

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Patients prefer radiology reports that are structured, more challenging to read

The finding suggests that healthcare consumers desire greater detail in the reports, allowing them to seek further info about diseases or findings.

Radiology provider Akumin postpones most clinical and diagnostic operations amid ransomware attack

The pause will last until Akumin can restore its systems in a “safe and secure manner,” leaving the company unable to see patients at its fixed-site locations. 

Video interview with Jom Kimerle from Pure Storage who shares trends in healthcare cybersecurity. #HIMSS

Trends and tips in healthcare cybersecurity 

Cybersecurity in the healthcare sector has been a growing concern, and medical imaging is one of the largest users of off-site cloud data storage.

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Enterprise radiology dashboard integrates with academic and community practices

Penn State Health developed a dashboard system to better understand radiology workflows and facilitate data sharing across the organization. 

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ChatGPT shows ‘tremendous’ potential in simplifying readability of radiology reports

Researchers prompted the large language model to "explain this medical report to a child using simple language" and had rads rate the results based on completeness and correctness. 

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Clinical decision support has little impact on image-ordering behaviors, single-center study finds

CDS only added 24 seconds to ordering clinicians' workflows and rarely led to these individuals changing their radiology request, experts wrote in JACR

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Consumer-oriented radiology reports a ‘promising’ strategy to improve patient-centered outcomes

Such reports helped improve preparedness for appointments, enhance conversations with physicians and bolster patients' understanding of treatment recommendations, survey responses show.