Using value of information to guide evaluation of decision supports for differential diagnosis: is it time for a new look?
1 Department of Population Health, New York University School of Medicine, 550 First Avenue, VZ30 6th floor, 615, New York, NY 10016, USA
2 Department of Biomedical Informatics, Arizona State University, Scottsdale, AZ, USA
BMC Medical Informatics and Decision Making 2013, 13:105 doi:10.1186/1472-6947-13-105Published: 11 September 2013
Decision support systems for differential diagnosis have traditionally been evaluated on the basis of criteria how sensitively and specifically they are able to identify the correct diagnosis established by expert clinicians.
This article questions whether evaluation criteria pertaining to identifying the correct diagnosis are most appropriate or useful. Instead it advocates evaluation of decision support systems for differential diagnosis based on the criterion of maximizing value of information.
This approach quantitatively and systematically integrates several important clinical management priorities, including avoiding serious diagnostic errors of omission and avoiding harmful or expensive tests.