With foundation funding and in collaboration with legal advocates, we performed research on the probable cost of a Medicaid expansion bill that was under consideration by the state legislature. Using government data, we developed a model that identified key parameters that would affect take-up rates and, therefore, state costs. The key analytic result was not a prediction, but rather a model that made multiple predictors based on scenarios that legislators could examine and choose among, depending on their sense as to what might happen. Under a broad range of scenarios, the legislation was affordable, and passed into law.
There are complex relationships between organizational climate for health care workers and patient care. We helped a hospital system measure such aspects of organizational climate as civility, performance emphasis, and employee engagement. The key analytic result was that while these latent variables are highly correlated, they are separate constructs which combine to produce a high performance workplace.