Comparing the current short-term cancer incidence prediction models in Brazil with state-of-the-art time-series models.

The World Health Organization has highlighted that cancer was the second-highest cause of death in 2019. This research aims to present the current forecasting techniques found in the literature, applied to predict time-series cancer incidence and then, compare these results with the current methodology adopted by the Instituto Nacional do Câncer (INCA) in Brazil. A set of univariate time-series approaches is proposed to aid decision-makers in monitoring and organizing cancer prevention and control actions.

May value-based healthcare practices contribute to comprehensive care for cancer patients? A systematic literature review.

Background: The cancer incidence and mortality have increased both due to aging and population growth. There is an imbalance between this increasing incidence, the costs and the available budget. It highlights the importance of a value-based healthcare (VBHC) agenda, where value is what matters to patients, represented by outcomes over costs.

Improving emergency department resource planning: a multiple case study.

Sizing and allocating health-care professionals are a critical problem in the management of emergency departments (EDs) managed by a public company in Rio de Janeiro (Brazil). An efficient ED configuration that is cost and time effective must be developed by this company for hospital managers. In this paper, the problem of health-care professional configurations in EDs is modelled to minimise the total labour cost while satisfying patient queues and waiting times as defined by the actual ED capacity and current clinical protocols.