Unveiling the Promise of Radiology Decision Support
A three-part educational session during RNSA 2011, being held Nov. 27–Dec. 2 in Chicago, will examine various aspects of using clinical decision support in radiology.
A three-part educational session during RNSA 2011, being held Nov. 27--Dec. 2 in Chicago, will examine various aspects of using clinical decision support in radiology.
Charles Kahn, M.D., professor of radiology and chief of the division of informatics at the Medical College of Wisconsin in Milwaukee, will lead off with a general overview. "I'll paint a broad picture so people get a sense of what decision support is," he explains. For instance, some decision support systems help pinpoint abnormalities in a study, while others offer treatment guidelines. Still other systems assist in ordering a study or interpreting how to perform the study.
"There's a number of tools developed for mammography to take findings as identified by the radiologist and help to formulize a diagnosis, and help to guide radiologists to procedures that will best help their patients," he adds.
Kahn will talk about recipes for success--what clinicians need to incorporate in their practice and how to approach and think about tools to prioritize what they want to accomplish. The two other parts of the session will focus on understanding quantitative image analysis and using decision support for such tasks as formulating a diagnostic probability of malignancy.
"There is a new frontier for decision support systems," Kahn says. "They provide an opportunity to improve the safety and quality of imaging services, achieve more accurate diagnoses and ensure the appropriateness of procedures we perform."
Course No. RC526, "Decision Support in Clinical Practice," is scheduled on Nov. 30 at 8:30 a.m. in Room S504CD. More information is available at rsna.org.
Charles Kahn, M.D., professor of radiology and chief of the division of informatics at the Medical College of Wisconsin in Milwaukee, will lead off with a general overview. "I'll paint a broad picture so people get a sense of what decision support is," he explains. For instance, some decision support systems help pinpoint abnormalities in a study, while others offer treatment guidelines. Still other systems assist in ordering a study or interpreting how to perform the study.
"There's a number of tools developed for mammography to take findings as identified by the radiologist and help to formulize a diagnosis, and help to guide radiologists to procedures that will best help their patients," he adds.
Kahn will talk about recipes for success--what clinicians need to incorporate in their practice and how to approach and think about tools to prioritize what they want to accomplish. The two other parts of the session will focus on understanding quantitative image analysis and using decision support for such tasks as formulating a diagnostic probability of malignancy.
"There is a new frontier for decision support systems," Kahn says. "They provide an opportunity to improve the safety and quality of imaging services, achieve more accurate diagnoses and ensure the appropriateness of procedures we perform."
Course No. RC526, "Decision Support in Clinical Practice," is scheduled on Nov. 30 at 8:30 a.m. in Room S504CD. More information is available at rsna.org.
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