Getting the Right Results: Innovations in Radiology

Article

Real-time alerts can drive patient care.

A few years ago, there was a witty car commercial advertising an alert feature that took the guesswork out of filling your tires by gently beeping to signal the appropriate pressure had been reached. It featured a series of vignettes where the car horn would beep, cautioning the owner to reconsider just as he was about to overdo something (for instance, betting all of his money on one roll of the dice).

The concept of getting a reminder at the point of a decision is a compelling one, particularly if it can save you time or aggravation and guide you to do the right thing. In health care, any technology that can provide that level of support will have a profound impact on patient care.

Albeit humorous, that car commercial wasn’t far off the mark with health care challenges. Unnecessary medical imaging exposes patients to additional radiation doses and results in approximately $12 billion wasted each year, but it has also had another unintended downstream effect. It has fueled a culture of medical certainty, where tests are ordered in hopes of shedding light on some of the grey areas of diagnostic imaging, including incidental findings.

The reality is that incidental findings are almost always a given, but not always a problem. So how do you know what to test further and what to monitor? And while one radiologist may choose the former option with a patient who has an incidental node finding, another might decide to go with the latter option, so who is right?[[{"type":"media","view_mode":"media_crop","fid":"38421","attributes":{"alt":"","class":"media-image media-image-right","id":"media_crop_8876501364831","media_crop_h":"0","media_crop_image_style":"-1","media_crop_instance":"3811","media_crop_rotate":"0","media_crop_scale_h":"0","media_crop_scale_w":"0","media_crop_w":"0","media_crop_x":"0","media_crop_y":"0","style":"height: 267px; width: 200px; border-width: 0px; border-style: solid; margin: 1px; float: right;","title":"Karen Holzberger, vice president and general manager for Diagnostics, Nuance","typeof":"foaf:Image"}}]]

Beep! It’s important
This is a jarring situation when so starkly presented, which is why the American College of Radiology (ACR) has released clinical guidelines on incidental findings. By offering clinical decision support on findings covering eleven organs, the ACR is helping radiologists protect their patients through established best practices for diagnostic testing.

This is a great step forward for the industry, but some hospitals are taking it one step further. Massachusetts General Hospital (MGH) is using its radiology reporting platform to provide real-time quality guidance at the point-of-care to drive better patient care. Now, when a radiologist is reading a report and notes an incidental finding, the system will automatically ping her with evidence-based recommendations for that finding. For instance, if the node is a certain size, it should be tested further. These clinical guidance best practices are updated constantly, which means that radiologists have access to the most up-to-date information when treating their patients and can make the most informed decisions based on industry best practices.

Patients deserve and need to have the best and most thorough care; however, this shouldn’t put them at risk for unneeded radiation exposure. It is neither safe, nor financially sustainable. Health IT innovations like these – that can ping clinicians in real-time with the latest in quality guidance – will be the tipping point in the shift to value-based care. They will forever change the standard of patient care and the landscape of the health care industry, and that is exactly what we need.

Recent Videos
New Mammography Studies Assess Image-Based AI Risk Models and Breast Arterial Calcification Detection
Can Deep Learning Provide a CT-Less Alternative for Attenuation Compensation with SPECT MPI?
Employing AI in Detecting Subdural Hematomas on Head CTs: An Interview with Jeremy Heit, MD, PhD
Pertinent Insights into the Imaging of Patients with Marfan Syndrome
What New Brain MRI Research Reveals About Cannabis Use and Working Memory Tasks
Current and Emerging Legislative Priorities for Radiology in 2025
How Will the New FDA Guidance Affect AI Software in Radiology?: An Interview with Nina Kottler, MD, Part 2
A Closer Look at the New Appropriate Use Criteria for Brain PET: An Interview with Phillip Kuo, MD, Part 2
How Will the New FDA Guidance Affect AI Software in Radiology?: An Interview with Nina Kottler, MD, Part 1
A Closer Look at the New Appropriate Use Criteria for Brain PET: An Interview with Phillip Kuo, MD, Part 1
Related Content
© 2025 MJH Life Sciences

All rights reserved.