Imaging Informatics

Imaging informatics (also known as radiology informatics, a component of wider medical or healthcare informatics) includes systems to transfer images and radiology data between radiologists, referring physicians, patients and the entire enterprise. This includes picture archiving and communication systems (PACS), wider enterprise image systems, radiology information. systems (RIS), connections to share data with the electronic medical record (EMR), and software to enable advanced visualization, reporting, artificial intelligence (AI) applications, analytics, exam ordering, clinical decision support, dictation, and remote image sharing and viewing systems.

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Rapid go-live as first trust in Greater Manchester patient diagnostic imaging initiative deploys Sectra solution

The Pennine Acute Hospitals NHS Trust has become the first of eight NHS trusts in the UK to deploy the imaging IT solution.

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Radiology providers struggling to share images in a timely fashion, steer patients to portals

That's according to a new survey of academic medical center leaders, published in Clinical Imaging. 

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Cybersecurity experts warn of severe vulnerabilities in GE Healthcare imaging systems

CyberMDX first discovered the issue, noting that it affects more than 100 devices, including CT, US, x-ray and MRI. 

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4 radiologist-focused management strategies to promote follow-up care for incidental findings

A new JACR analysis provides a roadmap for practice leaders looking to systematically tackle this challenge. 

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Standardized reporting can elevate radiologists’ top product from single-use to reusable asset

In a talk during RSNA's annual meeting, one expert urged the specialty to forge its own path, before it's forced to follow others.

Referring physicians want structured reporting while radiologists prefer free-form approach, survey finds

Most radiology residents also prefer a more systematized method of sharing their findings, signaling a possible change in future reporting trends. 

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Artificial intelligence prioritizes radiologists’ CT work list, reducing turnaround and wait times

The machine learning algorithm works by flagging abnormal, noncontrast exams for intracranial hemorrhage, experts wrote in Radiology: AI. 

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Standardizing chest CT reporting ups odds of early lung cancer diagnosis by nearly 25%

Kaiser Permanente’s system works by dividing patients with suspicious nodules into eight separate categories, similar to screening mammography. 

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