Dear Imaging Informatics Insider,
Correlating radiologic results with pathology findings is an important task to help radiologists and institutions calibrate their interpretations, improve their accuracy, and track their progress. Unfortunately, manually performing radiologic-pathologic correlation is a time-consuming process that isn't feasible for the average practice.
To address this problem, researchers from the University of California, Davis (UCD) have developed an automated system that makes use of natural language processing technology and commonly used radiology structured reporting methods such as the prostate and thyroid imaging reporting and data systems (PI-RADS and TI-RADS). In this issue's Insider Exclusive, you can learn how radiologists at UCD are using the automated radiology-pathology correlation system to monitor their performance and compare their cancer detection statistics with those of their peers.
In other news, cyberattacks are an ever-present threat for healthcare institutions. Can artificial intelligence (AI) algorithms help prevent cyberattacks on imaging equipment, or could they be used to alter images in a way that would be difficult for radiologists to detect? Perhaps both, according to research presented at RSNA 2018.
Speaking of cybersecurity, the U.S. Office of Inspector General recently found the U.S. Food and Drug Administration to be lacking in its policies and procedures for addressing postmarket cybersecurity incidents in medical devices.
Also, if you missed them, you'll want to check out the entertaining PACSman awards from this year's RSNA meeting, presented, as always, by PACS consultant Michael J. Cannavo, aka the PACSman.
What's the Digital Imaging Adoption Model (DIAM), and what does it mean for your facility? Kim Garriott of Logicalis explains in a video interview at RSNA 2018. Radiologists must embrace new technologies such as AI for the specialty to once again situate itself at the center of patient care, according to RSNA President Dr. Vijay Rao in her opening address at the meeting.
Finally, radiologists recently topped a list of medical specialists using telemedicine for interactions with patients and other healthcare providers. Also, appropriate use criteria based on local best practices can help reduce inappropriate imaging, according to a recent study.
Is there a story you'd like to see covered in the Imaging Informatics Community? As always, please feel free to drop me a line.
Happy holidays from all of us at AuntMinnie.com!
