Improving outcomes in radiology: bringing computer-based decision support and education to the point of care.
Many computer applications have been developed in radiology and other medical disciplines to help physicians make decisions. Artificial intelligence (AI)--an approach to computer-based manipulation of symbols to simulate human reasoning--forms the basis of many of these systems. This article's goals are to: acquaint the reader with the motivations and opportunities for computer-based medical decision support systems; identify AI techniques and applications in radiology decision making; assess the impact of these technologies; and consider new directions and opportunities for AI in radiology. Among the exciting new directions is the use of AI to integrate radiology reporting, online decision support, and just-in-time learning to provide useful information and continuing education that is embedded within a radiologist's daily workflow.
Kahn
Charles E
CE
Department of Radiology, Medical College of Wisconsin, 9200 W. Wisconsin Avenue, Milwaukee, WI 53226, USA. kahn@mcw.edu
D003658:Decision Making, Computer-Assisted; D004502:Education, Medical, Continuing / Q000379:methods*; D006801:Humans; D019095:Point-of-Care Systems / Q000592:standards*; D011871:Radiology / Q000193:education*