Published on the April 14, 2016, DiagnosticImaging.com website
By Whitney L.J. Howell
Imagine this: your hospital administrator asks you to help reduce the length of inpatient stays and they need a plan within a week. Could you do it?
Chances are, most of you couldn’t. But, the technology to mine and analyze your data does exist. Much like your daily Google searches, it’s possible to input your search criteria, click Enter, and have answers at your fingertips in seconds.
Doing so is part of radiology’s push toward using big data, said Woojin Kim, MD, director of innovation at Montage Healthcare Solutions, Inc.
“Radiology doesn’t yet have big data like other industries, but that’s changing rapidly. People want access to data to be able to turn insight into action,” he said. “Providers want quick easy access to radiology reports, and they want to mine through data intelligently for research and quality and performance improvements.”
That’s why Kim, along with William Boonn, MD, Curtis Langlotz, MD, and Rajan Agarwal, MD, co-founded Montage. Its products use proprietary natural language processing to search and pull information from your RIS and electronic medical record (EMR), pinpointing clinical findings to augment business performance and clinical-quality analytics.
To read the remainder of the article at its original location: http://www.diagnosticimaging.com/pacs-and-informatics/beyond-watson-ai-radiology
