a radiologist holding a tablet

Diagnostic Reading #8: Five “Must Read” Articles on HIT and Radiology

Reading Time: 3 minutes read

AI developments dominate the week’s news.

This week’s articles in Diagnostic Reading include: the year of machine learning and AI in healthcare; how radiologists can prepare for the future of AI; Mayo Clinic enterprise imaging leaders collaborate on enterprise imaging; Google AI is using images of the retina to predict cardiovascular problems such as heart attacks and strokes; and U.S. health spending will approach 20% of GDP by 2026.

The year of machine learning and AI in healthcare – Health IT Outcomes

Companies, venture capitalists, and others are investing in artificial intelligence and machine learning. AI can help determine what type of provider or specialist a patient should contact based on a series of questions. And while a patient is in the waiting room, he or she can fill in answers to questions from an AI application to give physicians a head start on what questions to ask the patient.

How can radiologists prepare for future of AI? – Auntminnie

Artificial intelligence (AI) is likely to be useful for radiologists and increase their productivity. But AI’s greatest effect might be to usher in a new role for radiologists as information managers, according to an article published in the Journal of the ACR. Improving a radiologist’s interaction with images and enabling a rich and dynamic output for referring physicians can increase the value of the radiologist to the clinical care team.

a radiologist holding a tablet
Diagnostic Reading keeps you up to date on current news.

Q&A: Mayo Clinic’s Persons and Nye on enterprise imaging – Radiology Business

Enterprise imaging is top of mind for radiology because radiology is driving efforts to enhance “every-ology” image access into hospitals and health systems across the U.S. The Mayo Clinic’s archive contains close to 5 billion medical images. The Mayo Clinic’s enterprise imaging IT architect joined with the head of enterprise radiology systems to discuss how the two departments work together on enterprise imaging, what technologies are involved and why ROI can prove difficult for some organizations to see. Read the blog by Prime Healthcare Group on how they are meeting their stakeholders’ needs for enterprise imaging.

Google AI can predict cardiovascular problems from retinal scans – Healthcare IT News

Google AI is predicting cardiovascular problems such as heart attacks and strokes simply from images of the retina, with no blood draws or other tests necessary. This is a big step forward because AI is using machine learning to uncover a surprising new way to predict these problems. The new system also shows what parts of the eye image lead to successful predictions, giving researchers new leads into what causes cardiovascular disease.

U.S. health spending to approach 20% of GDP by 2026 – Auntminnie

U.S. healthcare spending over the next decade will consume nearly 20% of the nation’s gross domestic product by 2026, according to an analysis from the U.S. Centers for Medicare and Medicaid Services (CMS). A team projected total health spending will reach $5.7 trillion by 2026.

Blog of the week: X-ray detectors for digital radiography: 11 tips to protect your investment – Everything Rad

Many medical imaging providers have upgraded from CR to DR imaging because the technology is more efficient, quicker, and, most importantly, requires less dose to the patient. While there are many advantages to using DR technology, the detectors require considerably more care than CR cassettes. Read the blog to learn 11 tips to protect this important imaging investment.

#EverythingRad #DiagnosticReading #Radiology


This site uses Akismet to reduce spam. Learn how your comment data is processed.