Are We Ready to use Constrained Optimization in Health Outcomes Research?

Decision-analytic modeling is an accepted approach used by many health technology assessment agencies to assess the cost-effectiveness (i.e., value) of new and existing health care technologies [1,2]. These agencies (along with payers, physicians, and other stakeholders) recognize that decision analysis can be used to forecast health outcomes and to understand the value of medical technologies based on clinical trial data before they are used in clinical practice. In fact, decision modeling as an analysis tool has expanded and helps us to understand a variety of additional outcomes issues associated with health care, including the budget impact, cost of care, and risk versus benefit.
Source: Value in Health - Category: International Medicine & Public Health Authors: Tags: Editorial Source Type: research