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Academic neurology is undergoing transformational changes. The public investment in biomedical research and clinical care is enormous and there is a growing perception that the return on this huge investment is insufficient. Hospitals, departments, and individual neurologists should expect more scrutiny as information about their quality of care and financial relationships with industry are increasingly reported to the public. There are unprecedented changes occurring in the financing and delivery of health care and research that will have profound impact on the mission and operation of academic departments of neurology. With the passage of the Patient Protection and Affordable Care Act (PPACA) there will be increasing emphasis on research that demonstrates value and includes the patient's perspective. Here we review neurological investigations of our clinical and research enterprises that focus on quality of care and comparative effectiveness, including cost-effectiveness. By highlighting progress made and the challenges that lie ahead, we hope to create a clinical, educational, and research roadmap for academic departments of neurology to thrive in today's increasingly regulated environment., (Copyright © 2011 American Neurological Association.)

Cost-effectiveness analysis (CEA) refers to a set of research methods that consider the resources consumed by a medical technology in decisions about how best to use the technology. This analytic method is an evolving, controversial, and often misunderstood field in health services research. The basic set of principles underlying CEA is deceptively simple, but sufficient methodological challenges and controversies exist that have, thus far, limited its use in the development of health policy and in bedside decision making. Nonetheless, neurologists like other specialty groups may feel concerned that the results from such analyses may prove unfavorable to their specialty and the patients they serve. This article reviews the fundamental notions surrounding CEA, provides examples from the literature with particular relevance to the neurological community, and highlights critical issues for neurologists regarding the future of CEA.