A new algorithm developed at Stanford Medicine could help. Analyzing data from hundreds of thousands of anonymized medical records, the model predicts which patients are likely to die in the next 3 to 12 months. In early tests, the algorithm analyzed medical data of patients who had already passed away and correctly predicted their remaining life expectancy in 9 out of 10 cases.
With the ACA in its fifth year of full expansion, we now have an established track record in the expanding states to help estimate what the actual costs of expansion will be to the states and how those costs have compared to states’ projections. This Issue Brief reviews that evidence, and evaluates continuing claims by Medicaid opponents that expansion is a “proven disaster” for state budgets. The strong balance of objective evidence indicates that actual costs to states so far from expanding Medicaid are negligible or minor, and that states across the political spectrum do not regret their decisions to expand Medicaid.