The unique combination of analytical power and ease-of-use
offered by Decision Analysis by TreeAge (DATA) provides clinicians and
medical policy makers significant opportunities to improve their decision-making
processes. With DATA, it is no longer necessary to have programming skills
to be able to do complex decision analyses and cost-effectiveness analyses.
Public health researchers and pharmacoeconomists use DATA
to develop cost-effective therapies in an era of limited resources and
growing demands. With DATA, it is possible to model treatment protocols,
immunization programs, diagnostic testing, and pharmaceutical R&D projects,
and analyze these complex decisions on the basis of a single criterion
(health outcomes) or multiple criteria (cost-effectiveness, benefit-cost).
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