RSNA 2014 

Abstract Archives of the RSNA, 2014


RC153

Advances in Radiology Decision Support

Refresher/Informatics — Informatics,

Presented on November 30, 2014

Participants

Charles E. Kahn MD, MS, Presenter: Shareholder, Hotlight Inc Officer, Hotlight Inc
Elizabeth S. Burnside MD, MPH, Presenter: Stockholder, Cellectar Biosciences, Inc Stockholder, NeuWave Medical Inc
Sandy Napel PhD, Presenter: Medical Advisory Board, Fovia, Inc Consultant, Carestream Health, Inc Scientific Advisor, EchoPixel, Inc

LEARNING OBJECTIVES

1) Define decision support systems and their role in radiology. 2) Describe widely used decision support technologies. 3) Explore how radiology decision support systems can improve patient care outcomes.

ABSTRACT

Decision support systems use knowledge -- ranging from books, to web sites, to real-time artificial intelligence systems -- to help physicians improve their decision making. This Refresher Course will review a number of systems that can help radiologists' decision making. We will describe tools for information retrieval and image retrieval, and systems that use rules or probabilities to help identify the most likely diagnosis. We will discuss how evolving technologies provide new ways to integrate advanced decision support into routine clinical practice, and how decision support systems can improve outcomes in patient care.

Cite This Abstract

Kahn, C, Burnside, E, Napel, S, Advances in Radiology Decision Support.  Radiological Society of North America 2014 Scientific Assembly and Annual Meeting, - ,Chicago IL. http://archive.rsna.org/2014/9000878.html