Implementing a sustainable medication reconciliation process in Australian hospitals: The World Health Organization High 5s project.

Background: Medication reconciliation (medrec) is a mandated patient safety strategy by national, including Australian, accreditation bodies. Yet there are no validated performance measures.

Objective: To determine the feasibility of implementing the World Health Organization (WHO) Medrec Standard Operating Protocol (SOP) in a range of Australian acute care facilities to achieve measurable and sustainable reductions in medication discrepancies occurring at admission.

Young-onset colorectal cancer in New South Wales: a population-based study.

Objective: Australia has the highest incidence of colorectal cancer (CRC) in the world. The incidence of young-onset CRC (yCRC) is increasing in developed nations. Our aim was to determine the incidence of yCRC in New South Wales, the demographic and clinico-pathological characteristics of these patients, and their survival.

Streamlined mean field variational Bayes for longitudinal and multilevel data analysis.

Streamlined mean field variational Bayes algorithms for efficient fitting and inference in large models for longitudinal and multilevel data analysis are obtained. The number of operations is linear in the number of groups at each level, which represents a two orders of magnitude improvement over the naïve approach. Storage requirements are also lessened considerably.

Variational methods for fitting complex Bayesian mixed effects models to health data.

We consider approximate inference methods for Bayesian inference to longitudinal and multilevel data within the context of health science studies. The complexity of these grouped data often necessitates the use of sophisticated statistical models. However, the large size of these data can pose significant challenges for model fitting in terms of computational speed and memory storage.