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.

Providers and payers unite in blasting ‘hastily constructed’ CMS final rule to simplify prior authorization

The Medical Group Management Association called the legislation a "failure" for excluding fee-for-service Medicare and most commercial plans.

January 18, 2021

CMS finalizes rule to speed up Medicare coverage of breakthrough imaging devices

Administrator Seema Verma said Medicare beneficiaries have traditionally not had predictable, immediate access to innovative devices, but that will change following a recent announcement.

January 13, 2021

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.

January 11, 2021

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.

January 7, 2021

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.

December 9, 2020

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.

December 4, 2020

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.

December 2, 2020

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.

November 24, 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