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.

Hands-free, generative AI system reduces radiologists' time spent creating reports
"Application of these technologies represents potential areas to combat burnout," researchers wrote recently in the Journal of the American College of Radiology.
Radiomics-based tool predicts fracture risk in COPD patients
Such technology can be leveraged to improve risk assessments without accruing additional expenses for patients or clinicians, potentially filling in gaps where DXA exams fall short.
Many radiology PowerPoints inadvertently put private health information at risk
Many of these files are still readily available online, and numerous contain PHI that is “easily accessible,” a new analysis reveals.
Incidental finding characteristics that warrant communication
Three factors are associated with true high-risk findings—imaging protocols for aortic valve implantation planning, imaging area, and cardiology department orders.
GPT-4 as accurate as neurologists in predicting final diagnosis based on MRI reports
The large language model can also outperform other human providers, radiologists included, new study shows.

Radiology disrupter Nanox collects $20M from South Korean telecom giant, eyeing 5G imaging

This is in addition to SK’s previous contribution of $5 million and balloons the Israeli system-maker’s fundraising total to $80 million from the likes of Fujifilm and Foxconn

June 4, 2020

San Francisco startup dealing in cloud-based AI imaging technology raises $28M

Arterys announced the capital infusion on May 29, with the lion’s share of funding coming from Benslie Investment Group and Temasek Holdings.

May 29, 2020

Lessons learned after radiology department systematically reschedules 30,000 imaging studies

Clear communication has proven crucial and that will only continue as UC Health looks to recover, experts wrote in JACR.

May 19, 2020

Radiology interest groups urge Congress to delay implementation of imaging appropriate-use criteria

Several imaging industry lobbying groups are continuing to press national lawmakers to provide relief for radiology practices hit hard by the COVID-19 pandemic.

May 11, 2020

Radiology vendor Change Healthcare sells analytics business line for $55M

In the nine months ending Dec. 31, Connected Analytics generated about $48.6 million for the Tennessee-based tech company, or about 2.5% of its earnings.

May 7, 2020

Society for Imaging Informatics in Medicine the latest to cancel its in-person conference

SIIM said the decision was influenced by both continued travel restrictions among its members and a desire to quell the spread of COVID-19.

April 28, 2020

Experts introduce CO-RADS as standardized way to assess CT imaging of COVID-19 patients

The COVID-19 Reporting and Data System is based on previous efforts at standardization and has logged solid results thus far, experts from the Dutch Radiological Society reported.

April 28, 2020

Feds delay enforcement of new interoperability rules to ease burden on providers

“In a pandemic of this magnitude, flexibility is paramount for a healthcare system under siege by COVID-19,” CMS Administrator Seema Verma said.

April 21, 2020

Imaging Informatics

Hands-free, generative AI system reduces radiologists' time spent creating reports

Radiomics-based tool predicts fracture risk in COPD patients

Many radiology PowerPoints inadvertently put private health information at risk

Incidental finding characteristics that warrant communication

GPT-4 as accurate as neurologists in predicting final diagnosis based on MRI reports