title: Attention, the intersection of cost and quality in health care.
abstract: A method for assessing health care technology that models the demand on the clinician's attention exerted by patients' data (diagnostic and therapeutic) can provide a means for simultaneously reducing the cost and improving the quality of health care. The attentional demand exerted by patients' data can be measured by the amount of uncertainty in the data. Uncertainty can be expressed mathematically by the concept of entropy in information theory.
authors.affiliation: Department of Anesthesiology, State University of New York, Stony Brook 11794.
authors.forename: J S
authors.initials: JS
authors.lastname: Gage
authors.forename: R
authors.initials: R
authors.lastname: Frey
mesh_terms: D006301:Health Services Needs and Demand / Q000706:statistics & numerical data*; D008962:Models, Theoretical; D011787:Quality of Health Care / Q000191:economics*; D013673:Technology Assessment, Biomedical; D014481:United States