Predicting the Effects of the Affordable Care Act: A Comparative Analysis of Health Policy Microsimulation Models
Microsimulation models were utilized throughout the legislative process that led to the passage of the Affordable Care Act, and these models continue to play a prominent role in understanding the likely effects of federal health care reform provisions on insurance coverage and cost at both the national level and, increasingly, within individual states.
The coverage expansions in the Affordable Care Act (ACA) could have profound impacts on American Indian and Alaskan Native (AI/AN) populations.
Parallel with the release of the issue brief of the same name, Ross Winkelman and colleagues from Wakely Consulting led a webinar explaining what decisions states need to make over the next two years to ensure a robust risk adjustment and reinsurance program.
Laying the IT Foundation for 2014: Developing Infrastructure for Improved Eligibility and Enrollment Systems
One of the biggest challenges – and opportunities – for states as they strive to implement the Affordable Care Act’s (ACA) coverage expansions is the size and scope of technology solutions required to support exchanges in making eligibility determinations and enrolling consumers in coverage.
The Affordable Care Act (ACA) provides subsidized coverage options for individuals up to 400 percent of the Federal Poverty Level.