Monitoring overdispersed process in clinical laboratories using control charts

Overdispersion is a phenomenon that generally occurs in the analysis of large sample sizes. In discrete data analysis, it refers to presence variation higher than implied by reference Binomial or Poisson distributions. The proportion nonconforming units clinical laboratories presents high variability and, generally, overdispersion. Therefore, required analyze most appropriate control charts overcome limitations traditional deal with overdispersed data. This paper performs an monitoring process using charts. methodology consists four steps: (i) Determination interest variable, (ii) Diagnosis overdispersion, (iii) Elaboration charts, and (iv) Analysis results. results show can quantitatively determine degree overdispersion select chart for process.