An integrated decision support system for diagnosing and managing patients with community-acquired pneumonia.
Decision support systems that integrate guidelines have become popular applications to reduce variation and deliver cost-effective care. However, adverse characteristics of decision support systems, such as additional and time-consuming data entry or manually identifying eligible patients, result in a "behavioral bottleneck" that prevents decision support systems to become part of the clinical routine. This paper describes the design and the implementation of an integrated decision support system that explores a novel approach for bypassing the behavioral bottleneck. The real-time decision support system does not require health care providers to enter additional data and consists of a diagnostic and a management component.
Aronsky
D
D
Dept. of Medical Informatics, LDS Hospital/University of Utah, Salt Lake City, USA.
Haug
P J
PJ
D001499:Bayes Theorem; D017714:Community-Acquired Infections / Q000175:diagnosis / Q000628:therapy; D003658:Decision Making, Computer-Assisted; D020000:Decision Support Systems, Clinical; D006801:Humans; D016347:Medical Records Systems, Computerized; D016571:Neural Networks, Computer; D011014:Pneumonia / Q000175:diagnosis* / Q000628:therapy; D017410:Practice Guidelines as Topic; D014584:User-Computer Interface