Data for cardiovascular modeling.
Data are required for a meaningful approach to quality and cost-conscious cardiovascular care. How to identify the types of data available and their sources, advantages and limitations to their use, issues involved in combining data from different sources for decision modeling and some possible solutions are discussed in this summary of the Working Group on Data for Cardiovascular Modeling.
Muhlbaier
L H
LH
Department of Community and Family Medicine, Duke University Medical Center, Durham, North Carolina 27710.
Pryor
D B
DB
D002318:Cardiovascular Diseases / Q000191:economics / Q000628:therapy*; D003625:Data Collection; D007256:Information Systems; D008955:Models, Cardiovascular; D011787:Quality of Health Care; D014481:United States