The TreeAge Pro Healthcare Module integrates seamlessly
with TreeAge Pro, adding Markov processes, comparative effectiveness
and cost-effectiveness
analysis, functionality of critical importance
in many healthcare decision models.
The Healthcare module also adds functionality to
TreeAge Pro's Monte Carlo simulation engine, in order to fully support
Markov, comparative effectiveness and cost-effectiveness models.
The Healthcare module is designed to meet the
special needs of professionals and students in healthcare,
health services research, and pharmacoeconomics.
Although Markov, comparative effectiveness and cost-effectiveness models
are used primarily in health-related fields, the Healthcare
module also has applications in other
areas. Markov models can be used to represent and
analyze the uncertainties found
in complex and repetitive processes, such as
systems maintenance and product marketing.
Markov models can incorporate the changing states
(conditions) of markets, physical plant, and communications/transportation
infrastructure.
Cost-effectiveness analysis
can be applied to a broad range of problems where the non-monetary benefits
of various strategies must be balanced against their potential
costs, taking into account available budgets. Examples include decisions
about environmental disaster cleanup, protecting infrastructure against
possible terrorist attack, and optimal use of military resources.