RESUMO
Attempts to improve health care have generally failed. Systems analysis urges addressing processes, such as learning, rather than isolated parts of a system. We apply learning curve theory to health care and then explicate the process of learning. Specific recommendations involve how we learn (and unlearn), who should learn, and what should be learned.
Assuntos
Competência Clínica , Aprendizagem , Garantia da Qualidade dos Cuidados de Saúde/normas , Recursos em Saúde , Análise de Sistemas , Resultado do TratamentoRESUMO
This article explores the uses of learning curve theory in medicine. Though effective application of learning curve theory in health care can result in higher quality and lower cost, it is seldom methodically applied in clinical practice. Fundamental changes are necessary in the corporate culture of medicine in order to capitalize maximally on the benefits of learning.
Assuntos
Atenção à Saúde/normas , Aprendizagem , Modelos Educacionais , Cultura Organizacional , Avaliação de Resultados em Cuidados de Saúde , Algoritmos , Procedimentos Clínicos , Medicina Baseada em Evidências , Administradores de Instituições de Saúde , Pesquisa sobre Serviços de Saúde , Humanos , Erros Médicos/prevenção & controle , Motivação , Planejamento de Assistência ao Paciente , Papel Profissional , Gestão da Qualidade Total , Estados UnidosRESUMO
The inherent design of health delivery systems predisposes them to errors and gradual rates of improvement. Health care executives and researchers should understand the importance of system errors and the role of leadership in removing perturbations that adversely affect health care organization performance. This article presents insights on strategies for addressing system errors and for reducing the magnitude of the problem.
