RESUMO
The federal bureaucracy played a critical role in implementing most aspects of the Affordable Care Act's private insurance coverage expansion. Through brief case studies, the authors review three dimensions of this role: the development of the Center for Consumer Information and Insurance Oversight, rulemaking in the formulation of the essential health benefits package, and the implementation of the federal website. They relate these to themes in the public administration literature. Politics-both through state decisions and through continuing congressional action (and inaction)-pervaded the implementation process. The challenges of staffing and situating the new bureaucracy effectively changed vertical boundaries within the Department of Health and Human Services, with long-lasting consequences. Finally, the complex design of the policy itself made passage of the legislation easier but implementation much more difficult. Ultimately, however, implementation was remarkably successful, achieving improvements in coverage consistent with the Congressional Budget Office's projections.
Assuntos
Regulamentação Governamental , Implementação de Plano de Saúde/organização & administração , Benefícios do Seguro/legislação & jurisprudência , Cobertura do Seguro/legislação & jurisprudência , Cobertura do Seguro/organização & administração , Patient Protection and Affordable Care Act/organização & administração , Estados Unidos , United States Dept. of Health and Human ServicesRESUMO
As the largest single payer for health care in the United States, the Centers for Medicare and Medicaid Services (CMS) generates enormous amounts of data. Historically, CMS has faced technological challenges in storing, analyzing, and disseminating this information because of its volume and privacy concerns. However, rapid progress in the fields of data architecture, storage, and analysis--the big-data revolution--over the past several years has given CMS the capabilities to use data in new and innovative ways. We describe the different types of CMS data being used both internally and externally, and we highlight a selection of innovative ways in which big-data techniques are being used to generate actionable information from CMS data more effectively. These include the use of real-time analytics for program monitoring and detecting fraud and abuse and the increased provision of data to providers, researchers, beneficiaries, and other stakeholders.