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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Radiology provider Akumin restores most systems following ransomware attack

The Plantation, Florida-based imaging center operator recently reached “important milestones” in its comeback from a debilitating October cyberattack. 

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Radiology vendor Covera Health raises up to $50M in financing, acquires AI firm

Coupled with its acquisition of CoRead—an AI quality assurance company used by over 2,000 hospitals—the startup plans to rapidly scale its offerings. 

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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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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