title: Research collaboration.
abstract: The complexity and cost of cardiovascular medical care dictate research to deliver high quality and cost-conscious cardiovascular care. This goal is aided by modeling medical decision making. To be useful, the modeling must be based on real data so that the results can serve as a guide to actual practice. It is suggested that a registry of randomized clinical trials and larger data bases in cardiovascular disease and health care delivery be established. The registry would be a resource for those desiring to model decision making. The registry would contain key words allowing retrieval by modelers accessing the registry and would contain contact information for consideration of possible collaborative work. The initiation of such a registry should contain plans for its evaluation to determine whether the registry itself is a cost-effective tool to encourage the needed research.
authors.affiliation: Department of Biostatistics, University of Washington, Seattle, Washington 98105.
authors.forename: L D
authors.initials: LD
authors.lastname: Fisher
authors.forename: T
authors.initials: T
authors.lastname: Robertson
authors.forename: G M
authors.initials: GM
authors.lastname: Hughes
authors.forename: A
authors.initials: A
authors.lastname: Hartz
authors.forename: P
authors.initials: P
authors.lastname: Liu
authors.forename: B F
authors.initials: BF
authors.lastname: Waller
authors.forename: M
authors.initials: M
authors.lastname: Young
mesh_terms: D002986:Clinical Trials as Topic; D003661:Decision Support Techniques; D007256:Information Systems; D008955:Models, Cardiovascular; D011897:Random Allocation; D012042:Registries; D012106:Research; D014481:United States